Bjoern Eskofier

2024

• Albert T., Eskofier B., Zanca D.:
  From patches to objects: exploiting spatial reasoning for better visual representations
  In: Discover Applied Sciences 6 (2024), Article No.: 232
  ISSN: 3004-9261
  DOI: 10.1007/s42452-024-05894-2
• Albrecht N., Langer D., Krauß D., Richer R., Abel L., Eskofier B., Rohleder N., Kölpin A.:
  EmRad: Ubiquitous Vital Sign Sensing using Compact Continuous-Wave Radars
  In: IEEE Open Journal of Engineering in Medicine and Biology (2024), p. 1-10
  ISSN: 2644-1276
  DOI: 10.1109/OJEMB.2024.3420241
  URL: https://ieeexplore.ieee.org/document/10577086
• Altmannshofer S., Flaucher M., Beierlein M., Eskofier B., Beckmann M., Fasching P., Hübner H.:
  A content-based review of mobile health applications for breast cancer prevention and education: Characteristics, quality and functionality analysis
  In: Digital Health 10 (2024)
  ISSN: 2055-2076
  DOI: 10.1177/20552076241234627
• Dietz S., Altstidl TR., Zanca D., Eskofier B., Nguyen A.:
  How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series
  International Joint Conference on Neural Networks (IJCNN) (Yokohama, June 30, 2024 - July 5, 2024)
  DOI: 10.1109/IJCNN60899.2024.10650421
  URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10650421
• Eskofier B., Vossiek M.:
  Invisible Sensing: Radar-based Biomonitoring
  In: IEEE Open Journal of Engineering in Medicine and Biology (2024), p. 1-2
  ISSN: 2644-1276
  DOI: 10.1109/OJEMB.2024.3409086
• Ibrahim A., Ollenschläger M., Klebe S., Schüle R., Jeschonneck N., Kellner M., Loris E., Greinwalder T., Eskofier B., Winkler J., Gaßner H., Regensburger M.:
  Mobile digital gait analysis captures effects of botulinum toxin in hereditary spastic paraplegia
  In: European Journal of Neurology (2024)
  ISSN: 1351-5101
  DOI: 10.1111/ene.16367
• Jäger K., Nissen M., Rahm S., Titzmann A., Fasching P., Beilner J., Eskofier B., Leutheuser H.:
  Power-MF: Robust fetal QRS detection from non-invasive fetal electrocardiogram recordings
  In: Physiological Measurement (2024)
  ISSN: 0967-3334
  DOI: 10.1088/1361-6579/ad4952
• Kirk C., Küderle A., Micó-Amigo ME., Bonci T., Paraschiv-Ionescu A., Ullrich M., Soltani A., Gazit E., Salis F., Alcock L., Aminian K., Becker C., Bertuletti S., Brown P., Buckley E., Cantu A., Carsin AE., Caruso M., Caulfield B., Cereatti A., Chiari L., D’Ascanio I., Garcia-Aymerich J., Hansen C., Hausdorff JM., Hiden H., Hume E., Keogh A., Kluge F., Koch S., Maetzler W., Megaritis D., Mueller A., Niessen M., Palmerini L., Schwickert L., Scott K., Sharrack B., Sillén H., Singleton D., Vereijken B., Vogiatzis I., Yarnall AJ., Rochester L., Mazzà C., Eskofier B., Del Din S.:
  Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device
  In: Scientific Reports 14 (2024), Article No.: 1754
  ISSN: 2045-2322
  DOI: 10.1038/s41598-024-51766-5
• Kluge F., Brand YE., Micó-Amigo ME., Bertuletti S., D'Ascanio I., Gazit E., Bonci T., Kirk C., Küderle A., Palmerini L., Paraschiv-Ionescu A., Salis F., Soltani A., Ullrich M., Alcock L., Aminian K., Becker C., Brown P., Buekers J., Carsin AE., Caruso M., Caulfield B., Cereatti A., Chiari L., Echevarria C., Eskofier B., Evers J., Garcia-Aymerich J., Hache T., Hansen C., Hausdorff JM., Hiden H., Hume E., Keogh A., Koch S., Maetzler W., Megaritis D., Niessen M., Perlman O., Schwickert L., Scott K., Sharrack B., Singleton D., Vereijken B., Vogiatzis I., Yarnall A., Rochester L., Mazzà C., Del Din S., Mueller A.:
  Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study
  In: JMIR Formative Research 8 (2024), Article No.: e50035
  ISSN: 2561-326X
  DOI: 10.2196/50035
• Krauß D., Engel L., Ott T., Bräunig J., Richer R., Gambietz M., Albrecht N., Hille EM., Ullmann I., Braun M., Dabrock P., Kölpin A., Koelewijn A., Eskofier B., Vossiek M.:
  A Review and Tutorial on Machine Learning- Enabled Radar-Based Biomedical Monitoring
  In: IEEE Open Journal of Engineering in Medicine and Biology (2024), p. 1-22
  ISSN: 2644-1276
  DOI: 10.1109/OJEMB.2024.3397208
• Kudelka J., Ollenschläger M., Dodel R., Eskofier B., Hobert MA., Jahn K., Klucken J., Labeit B., Polidori MC., Prell T., Warnecke T., von Arnim CA., Maetzler W., Jacobs AH.:
  Which Comprehensive Geriatric Assessment (CGA) instruments are currently used in Germany: a survey
  In: BMC Geriatrics 24 (2024), Article No.: 347
  ISSN: 1471-2318
  DOI: 10.1186/s12877-024-04913-6
• Küderle A., Ullrich M., Roth N., Ollenschläger M., Ibrahim A., Moradi H., Richer R., Seifer AK., Zürl M., Simpetru R., Herzer L., Prossel D., Kluge F., Eskofier B.:
  Gaitmap – An Open Ecosystem for IMU-based Human Gait Analysis and Algorithm Benchmarking
  In: IEEE Open Journal of Engineering in Medicine and Biology (2024), p. 1-10
  DOI: 10.1109/OJEMB.2024.3356791
• Laudanski AF., Küderle A., Kluge F., Eskofier B., Acker SM.:
  Enhancing Automatic Inertial Sensor Calibration Algorithm for Accurate Joint Angle Estimation in High Flexion Postures
  In: IEEE Sensors Journal (2024), p. 1-1
  ISSN: 1530-437X
  DOI: 10.1109/JSEN.2024.3423374
• Lennartz R., Stöve M., Talar K., Kumarampulakkal N., Dorschky E., Witte M., Eskofier B.:
  The Influence of Gamification on Motivation and Cardiac Variables in Soccer
  29th Annual Congress of the European College of Sport Science (Glasgow, Scotland, UK, July 2, 2024 - July 5, 2024)
  In: Book of Abstracts of the 29th Annual Congress of the European College of Sport Science 2024
  URL: https://www.ecss.mobi/DATA/CONGRESSES/GLASGOW_2024/DOCUMENTS/2024_BOA_Web.pdf
• Lüer L., Peters IM., Smith AS., Dorschky E., Eskofier B., Liers-Bergmann F., Franke J., Sjarov M., Brossog M., Guldi DM., Maier A., Brabec C.:
  A digital twin to overcome long-time challenges in photovoltaics
  In: Joule 8 (2024), p. 1-17
  ISSN: 2542-4351
  DOI: 10.1016/j.joule.2023.12.010
• Micó-Amigo ME., Bonci T., Paraschiv-Ionescu A., Ullrich M., Kirk C., Soltani A., Küderle A., Gazit E., Salis F., Alcock L., Aminian K., Becker C., Bertuletti S., Brown P., Buckley E., Cantu A., Carsin AE., Caruso M., Caulfield B., Cereatti A., Chiari L., D’Ascanio I., Eskofier B., Fernstad S., Froehlich M., Garcia-Aymerich J., Hansen C., Hausdorff JM., Hiden H., Hume E., Keogh A., Kluge F., Koch S., Maetzler W., Megaritis D., Mueller A., Niessen M., Palmerini L., Schwickert L., Scott K., Sharrack B., Sillén H., Singleton D., Vereijken B., Vogiatzis I., Yarnall AJ., Rochester L., Mazzà C., Del Din S.:
  Correction to: Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium (Journal of NeuroEngineering and Rehabilitation, (2023), 20, 1, (78), 10.1186/s12984-023-01198-5)
  In: Journal of neuroEngineering and rehabilitation 21 (2024), Article No.: 71
  ISSN: 1743-0003
  DOI: 10.1186/s12984-024-01361-6
• Moradi H., Flaucher M., Ott T., Ringgold V., Eskofier B., Leutheuser H.:
  Can HCI Lead the Way? Workshop on Exploring Conscious AI
  In: Mensch und Computer - Workshopband 2024, Gesellschaft für Informatik e.V., 2024
  DOI: 10.18420/muc2024-mci-ws12-113
  (Conference report)
• Nitschke M., Dorschky E., Leyendecker S., Eskofier B., Koelewijn A.:
  Estimating 3D kinematics and kinetics from virtual inertial sensor data through musculoskeletal movement simulations
  In: Frontiers in Bioengineering and Biotechnology 12 (2024)
  ISSN: 2296-4185
  DOI: 10.3389/fbioe.2024.1285845
• Owsienko D., Schwinn L., Eskofier B., Kiesswetter E., Loos H.:
  Sensory evaluation of axillary odour samples of younger and older adults by a trained panel
  In: Flavour and Fragrance Journal 39 (2024), p. 3-9
  ISSN: 0882-5734
  DOI: 10.1002/ffj.3762
• Raccagni C., Sidoroff V., Paraschiv-Ionescu A., Roth N., Schönherr G., Eskofier B., Gaßner H., Kluge F., Teatini F., Seppi K., Goebel G., Benninger DH., Aminian K., Klucken J., Wenning G.:
  Effects of physiotherapy and home-based training in parkinsonian syndromes: protocol for a randomised controlled trial (MobilityAPP)
  In: BMJ Open 14 (2024), p. e081317-
  ISSN: 2044-6055
  DOI: 10.1136/bmjopen-2023-081317
• Richer R., Koch V., Abel L., Hauck F., Kurz M., Ringgold V., Müller V., Küderle A., Schindler-Gmelch L., Eskofier B., Rohleder N.:
  Machine learning-based detection of acute psychosocial stress from body posture and movements
  In: Scientific Reports 14 (2024), Article No.: 8251
  ISSN: 2045-2322
  DOI: 10.1038/s41598-024-59043-1
  URL: https://www.nature.com/articles/s41598-024-59043-1
• Roider J., Zanca D., Eskofier B.:
  Efficient Training of Recurrent Neural Networks for Remaining Time Prediction in Predictive Process Monitoring
  BPM: International Conference on Business Process Management (Krakow, September 1, 2024 - September 6, 2024)
  In: Andrea Marrella, Manuel Resinas, Mieke Jans, Michael Rosemann (ed.): Business Process Management, 22nd International Conference, BPM 2024, Krakow, Poland, September 1–6, 2024, Proceedings, Cham: 2024
  DOI: 10.1007/978-3-031-70396-6
  URL: https://link.springer.com/book/10.1007/978-3-031-70396-6
• Schlieper P., Luft H., Klede K., Strohmeyer C., Eskofier B., Zanca D.:
  Enhancing unsupervised outlier model selection: A study on ireos algorithms
  In: ACM Transactions on Knowledge Discovery from Data 18 (2024), Article No.: 178
  ISSN: 1556-4681
  DOI: 10.1145/3653719
• Schrupp B., Klede K., Raab R., Eskofier B.:
  Simulation and Detection of Healthcare Fraud in German Inpatient Claims Data
  International Conference on Computational Science 2024
  In: Franco, L., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (ed.): Computational Science -- ICCS 2024, Cham: 2024
  DOI: 10.1007/978-3-031-63772-8_22
• Shanbhag J., Fleischmann S., Gaßner H., Winkler J., Eskofier B., Koelewijn A., Wartzack S., Miehling J.:
  Modelling postural control of upright standing during translational perturbations
  29th Congress of the European Society of Biomechanics (Edinburgh, Scotland, June 30, 2024 - July 3, 2024)
• Shanbhag J., Fleischmann S., Wechsler I., Gaßner H., Winkler J., Eskofier B., Koelewijn A., Wartzack S., Miehling J.:
  A sensorimotor enhanced neuromusculoskeletal model for simulating postural control of upright standing
  In: Frontiers in Neuroscience 18 (2024)
  ISSN: 1662-4548
  DOI: 10.3389/fnins.2024.1393749
• Simpetru R., Arkudas A., Braun D., Oßwald M., Souza de Oliveira D., Eskofier B., Kinfe TM., Del Vecchio A.:
  Learning a Hand Model from Dynamic Movements Using High-Density EMG and Convolutional Neural Networks
  In: IEEE Transactions on Biomedical Engineering (2024), p. 1-12
  ISSN: 0018-9294
  DOI: 10.1109/TBME.2024.3432800
• Stahlke M., Feigl T., Kram S., Eskofier B., Mutschler C.:
  Uncertainty-Based Fingerprinting Model Monitoring for Radio Localization
  In: IEEE Journal of Indoor and Seamless Positioning and Navigation (2024)
  ISSN: 2832-7322
  Open Access: https://ieeexplore.ieee.org/abstract/document/10526425
• Stahlke M., George Y., Feigl T., Eskofier B., Mutschler C.:
  Velocity-Based Channel Charting with Spatial Distribution Map Matching
  In: IEEE Journal of Indoor and Seamless Positioning and Navigation (2024), p. 1-10
  ISSN: 2832-7322
  DOI: 10.1109/JISPIN.2024.3424768
• Streit H., Keinert M., Schindler-Gmelch L., Eskofier B., Berking M.:
  Disgust-based approach-avoidance modification training for individuals suffering from elevated stress: A randomized controlled pilot study
  In: Stress and Health (2024), Article No.: e3384
  ISSN: 1532-2998
  DOI: 10.1002/smi.3384
• Wechsler I., Wolf A., Shanbhag J., Leyendecker S., Eskofier B., Koelewijn A., Wartzack S., Miehling J.:
  Bridging the sim2real gap. Investigating deviations between experimental motion measurements and musculoskeletal simulation results—a systematic review
  In: Frontiers in Bioengineering and Biotechnology 12 (2024)
  ISSN: 2296-4185
  DOI: 10.3389/fbioe.2024.1386874
  URL: https://www.frontiersin.org/articles/10.3389/fbioe.2024.1386874

2023

• Abdullahi I., Raab R., Küderle A., Eskofier B.:
  Aligning Federated Learning with Existing Trust Structures in Health Care Systems
  In: International Journal of Environmental Research and Public Health 20 (2023), Article No.: 5378
  ISSN: 1661-7827
  DOI: 10.3390/ijerph20075378
  URL: https://www.mdpi.com/1660-4601/20/7/5378
• Altstidl TR., Nguyen A., Schwinn L., Köferl F., Mutschler C., Eskofier B., Zanca D.:
  Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks
  2023 International Joint Conference on Neural Networks (IJCNN) (Gold Coast, Australia, June 18, 2023 - June 23, 2023)
  In: Proc. Intl. Joint Conf. Neural Netw. (IJCNN) 2023
  DOI: 10.1109/IJCNN54540.2023.10191724
• Bräunig J., Mejdani D., Krauß D., Grießhammer S., Richer R., Schüßler C., Yip J., Steigleder T., Ostgathe C., Eskofier B., Vossiek M.:
  Radar-based Recognition of Activities of Daily Living in the Palliative Care Context Using Deep Learning
  2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) (Pittsburgh, October 15, 2023 - October 18, 2023)
  In: 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) 2023
  DOI: 10.1109/BHI58575.2023.10313506
  URL: https://www.mad.tf.fau.de/files/2023/12/braeunig23_radar_palliative_care.pdf
• Brückner S., Weber J., Michler F., Shanin N., Schober R., Hagelauer A., Weigel R., Gaßner H., Winkler J., Eskofier B., Vossiek M.:
  A Wireless Joint Communication and Localization EMG-Sensing Concept for Movement Disorder Assessment
  In: IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology (2023), p. 1--10
  ISSN: 2469-7249
  DOI: 10.1109/JERM.2023.3321974
  URL: https://ieeexplore.ieee.org/document/10286030
• Casolo A., Maeo S., Balshaw TG., Lanza MB., Martin NRW., Nuccio S., Moro T., Paoli A., Felici F., Maffulli N., Eskofier B., Kinfe TM., Folland JP., Farina D., Del Vecchio A.:
  Non-invasive estimation of muscle fibre size from high-density electromyography
  In: The Journal of Physiology (2023)
  ISSN: 0022-3751
  DOI: 10.1113/JP284170
• Cerutti S., Eskofier B., Tourassi G.:
  Guest Editorial Advancing Biomedical Discovery and Healthcare Delivery Through Digital Technology
  In: IEEE Journal of Biomedical and Health Informatics 27 (2023), p. 2656-2659
  ISSN: 2168-2194
  DOI: 10.1109/JBHI.2023.3274977
• Del Vecchio A., Marconi Germer C., Kinfe TM., Nuccio S., Hug F., Eskofier B., Farina D., Enoka RM.:
  The Forces Generated by Agonist Muscles during Isometric Contractions Arise from Motor Unit Synergies
  In: The Journal of Neuroscience 43 (2023), p. 2860-2873
  ISSN: 1529-2401
  DOI: 10.1523/JNEUROSCI.1265-22.2023
• Dumbach P., Schwinn L., Löhr T., Do PL., Eskofier B.:
  Artificial intelligence trend analysis on healthcare podcasts using topic modeling and sentiment analysis: a data-driven approach
  In: Evolutionary Intelligence (2023)
  ISSN: 1864-5909
  DOI: 10.1007/s12065-023-00878-4
  URL: https://link.springer.com/article/10.1007/s12065-023-00878-4
• Dumbach P., Schwinn L., Löhr T., Elsberger T., Eskofier B.:
  Artificial intelligence trend analysis in German business and politics: a web mining approach
  In: International Journal of Data Science and Analytics (2023), p. 1-22
  ISSN: 2364-415X
  DOI: 10.1007/s41060-023-00483-9
  URL: https://link.springer.com/article/10.1007/s41060-023-00483-9
• Eskofier B., Klucken J.:
  Predictive Models for Health Deterioration: Understanding Disease Pathways for Personalized Medicine
  DOI: 10.1146/annurev-bioeng-110220-030247
• Flaucher M., Zakreuskaya A., Jäger K., Richer R., Smeddinck JD., Kumar D., Grimme S., Klein J., Hrynyschyn R., Eskofier B., Leutheuser H.:
  Your Health, Your Data: Combining Interdisciplinary Views, Concepts, and Practices to Empower Patients in Their Engagement With Personal Health Data
  Mensch und Computer 2023 (Rapperswil, September 3, 2023 - September 6, 2023)
  In: Workshopband 2023
  DOI: 10.18420/muc2023-mci-ws14-117
• Flaucher M., Zakreuskaya A., Nissen M., Mocker A., Fasching P., Beckmann M., Eskofier B., Leutheuser H.:
  Evaluating the Effectiveness of Mobile Health in Breast Cancer Care: A Systematic Review
  In: Oncologist (2023)
  ISSN: 1083-7159
  DOI: 10.1093/oncolo/oyad217
• Fleischmann S., Shanbhag J., Miehling J., Wartzack S., Leyendecker S., Koelewijn A., Eskofier B.:
  Time vs. Space: Comparing gait cycle normalization methods and their effect on foot placement control
  28th Congress of the European Society of Biomechanics (Maastricht, July 9, 2023 - July 12, 2023)
• Gabler E., Nissen M., Altstidl TR., Titzmann A., Packhäuser K., Maier A., Fasching P., Eskofier B., Leutheuser H.:
  Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning
  45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023 (Sydney, NSW, July 24, 2023 - July 27, 2023)
  In: 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2023
  DOI: 10.1109/EMBC40787.2023.10340336
• Habs M., Dingermann T., Bachmeier BE., Eskofier B., Friedrich B., Prantl L., Emmer J., Langhorst J., Dreischulte T., Koller M.:
  Real world evidence (RWE) in phytotherapy: Perspectives for the development of a registry for phytopharmaceuticals Real World Evidence (RWE) in der Phytotherapie: Perspektiven für den Aufbau eines Registers zur Nutzung von Phytopharmaka
  In: Zeitschrift für Allgemeinmedizin (2023)
  ISSN: 1433-6251
  DOI: 10.1007/s44266-023-00021-7
• Härtl T., Owsienko D., Schwinn L., Hirsch C., Eskofier B., Lang R., Wirtz S., Loos H.:
  Exploring the interrelationship between the skin microbiome and skin volatiles: A pilot study
  In: Frontiers in Ecology and Evolution 11 (2023), Article No.: 1107463
  ISSN: 2296-701X
  DOI: 10.3389/fevo.2023.1107463
• Ibrahim A., Adler W., Gaßner H., Rothhammer V., Kluge F., Eskofier B.:
  Association between cognition and gait in multiple sclerosis: A smartphone-based longitudinal analysis
  In: International Journal of Medical Informatics 177 (2023), Article No.: 105145
  ISSN: 1386-5056
  DOI: 10.1016/j.ijmedinf.2023.105145
• Keinert M., Eskofier B., Schuller BW., Böhme S., Berking M.:
  Evaluating the feasibility and exploring the efficacy of an emotion-based approach-avoidance modification training (eAAMT) in the context of perceived stress in an adult sample — protocol of a parallel randomized controlled pilot study
  In: Pilot and Feasibility Studies 9 (2023), Article No.: 155
  ISSN: 2055-5784
  DOI: 10.1186/s40814-023-01386-z
• Klede K., Altstidl TR., Zanca D., Eskofier B.:
  p-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison
  Thirty-seventh Annual Conference on Neural Information Processing Systems (New Orleans, December 10, 2023 - December 16, 2023)
  In: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine (ed.): Advances in Neural Information Processing Systems 36 2023
  Open Access: https://proceedings.neurips.cc/paper_files/paper/2023/file/563d94819f68cb73d6a382809e587b54-Paper-Conference.pdf
  URL: https://proceedings.neurips.cc/paper_files/paper/2023/file/563d94819f68cb73d6a382809e587b54-Paper-Conference.pdf
• Klede K., Schwinn L., Zanca D., Eskofier B.:
  FastAMI - A Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics
  AAAI 2023 (Washington, D.C., February 7, 2023 - February 14, 2023)
  In: Proceedings of the AAAI Conference on Artificial Intelligence, 37(7) 2023
  DOI: 10.1609/aaai.v37i7.26003
  URL: https://ojs.aaai.org/index.php/AAAI/article/view/26003
• Koch V., Jakob V., Küderle A., Ollenschläger M., Kotter K., Ibrahim A., Winkler J., Eskofier B., Regensburger M., Gaßner H.:
  Inertial sensor acquired foot elevation parameters validated by Motion capture in a cohort of patients with Hereditary Spastic Paraplegias
  In: Gait & Posture 100 (2023), p. 79-80
  ISSN: 0966-6362
  DOI: 10.1016/j.gaitpost.2022.11.071
• Krauß D., Richer R., Albrecht NC., Küderle A., Abel L., Leutheuser H., Jukic J., German A., Kölpin A., Winkler J., Eskofier B.:
  Contactless Heart Rate Estimation using a 61 GHz Continuous-Wave Radar
  IEEE-EMBS International Conference on Body Sensor Networks: Sensor and Systems for Digital Health (MIT Media Lab, Boston MA, October 9, 2023 - October 11, 2023)
• Küderle A., Richer R., Simpetru R., Eskofier B.:
  tpcp: Tiny Pipelines for Complex Problems - A set of framework independent helpers for algorithms development and evaluation
  In: Journal of Open Source Software 8 (2023), p. 4953
  ISSN: 2475-9066
  DOI: 10.21105/joss.04953
  URL: https://joss.theoj.org/papers/10.21105/joss.04953
• Lennartz R., Khassetarash A., Spyrou E., Hallihan A., Eskofier B., Nigg B.:
  The Influence of Protective Equipment on Performance in Ice Hockey
  XXIX Conference of the International Society of Biomechanics (ISB) (Fukuoka, July 30, 2023 - August 3, 2023)
  In: ISB Program & Abstract Book 2023
  URL: https://263c08f5a9.clvaw-cdnwnd.com/8878d3cf4a2a08b86932691d02722bb8/200000434-f2bb0f2bb3/ISB_JSB2023 Program - Abstract Book.pdf?ph=263c08f5a9
• Loris E., Ollenschläger M., Greinwalder T., Eskofier B., Winkler J., Gaßner H., Regensburger M.:
  Mobile digital gait analysis objectively measures progression in hereditary spastic paraplegia
  In: Annals of Clinical and Translational Neurology 10 (2023)
  ISSN: 2328-9503
  DOI: 10.1002/acn3.51725
• Löffler C., Fallah K., Fenu S., Zanca D., Eskofier B., Rozell CJ., Mutschler C.:
  Active Learning of Ordinal Embeddings: A User Study on Football Data
  In: Transactions on Machine Learning Research (2023), p. 1-26
  ISSN: 2835-8856
  Open Access: https://openreview.net/pdf?id=oq3tx5kinu
  URL: https://openreview.net/forum?id=oq3tx5kinu
• Maier T., Kamm L., Heckmann A., Eskofier B.:
  Homogeneous Soil Moisture Sensor with High Repeatability for Different Soil Depths
  Sensor and Measurement Science International 2023 (Nuremberg, Germany, May 8, 2023 - May 11, 2023)
  DOI: 10.5162/smsi2023/p32
• Mayer K., Del Vecchio A., Eskofier B., Farina D.:
  Unsupervised neural decoding of signals recorded by thin-film electrode arrays implanted in muscles using autoencoding with a physiologically derived optimisation criterion
  In: Biomedical Signal Processing and Control 86 (2023), Article No.: 105178
  ISSN: 1746-8094
  DOI: 10.1016/j.bspc.2023.105178
• Mehringer W., Stöve M., Krauß D., Ring M., Steussloff F., Güttes M., Zott J., Hohberger B., Michelson G., Eskofier B.:
  Author Correction: Virtual reality for assessing stereopsis performance and eye characteristics in Post-COVID (Scientific Reports, (2023), 13, 1, (13167), 10.1038/s41598-023-40263-w)
  In: Scientific Reports 13 (2023), Article No.: 16307
  ISSN: 2045-2322
  DOI: 10.1038/s41598-023-43373-7
• Mehringer W., Stöve M., Krauß D., Ring M., Steussloff F., Güttes M., Zott J., Hohberger B., Michelson G., Eskofier B.:
  Virtual reality for assessing stereopsis performance and eye characteristics in Post-COVID
  In: Scientific Reports 13 (2023), p. 13167-
  ISSN: 2045-2322
  DOI: 10.1038/s41598-023-40263-w
• Micó-Amigo ME., Bonci T., Paraschiv-Ionescu A., Ullrich M., Kirk C., Soltani A., Küderle A., Gazit E., Salis F., Alcock L., Aminian K., Becker C., Bertuletti S., Brown P., Buckley E., Cantu A., Carsin AE., Caruso M., Caulfield B., Cereatti A., Chiari L., D’Ascanio I., Eskofier B., Fernstad S., Froehlich M., Garcia-Aymerich J., Hansen C., Hausdorff JM., Hiden H., Hume E., Keogh A., Kluge F., Koch S., Maetzler W., Megaritis D., Mueller A., Niessen M., Palmerini L., Schwickert L., Scott K., Sharrack B., Sillén H., Singleton D., Vereijken B., Vogiatzis I., Yarnall AJ., Rochester L., Mazzà C., Del Din S.:
  Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium
  In: Journal of neuroEngineering and rehabilitation 20 (2023), Article No.: 78
  ISSN: 1743-0003
  DOI: 10.1186/s12984-023-01198-5
• Moradi H., Hannink J., Stallforth S., Gladow T., Ringbauer S., Mayr M., Winkler J., Klucken J., Eskofier B.:
  Monitoring medication optimization in patients with Parkinson’s disease
  2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (Sydney, July 24, 2023 - July 27, 2023)
  In: 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2023
  DOI: 10.1109/embc40787.2023.10340618
• Nissen M., Barrios Campo N., Flaucher M., Jäger K., Titzmann A., Blunck D., Fasching P., Engelhardt V., Eskofier B., Leutheuser H.:
  Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data
  In: npj Digital Medicine 6 (2023), Article No.: 189
  ISSN: 2398-6352
  DOI: 10.1038/s41746-023-00935-3
• Nissen M., Flaucher M., Jäger K., Hübner H., Danzberger N., Titzmann A., Pontones C., Fasching P., Eskofier B., Leutheuser H.:
  WebPPG: Feasibility and Usability of Self-Performed, Browser-Based Smartphone Photoplethysmography
  45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023 (Sydney, NSW, July 24, 2023 - July 27, 2023)
  In: 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2023
  DOI: 10.1109/EMBC40787.2023.10340204
• Nissen M., Perez CA., Jäger K., Bleher H., Flaucher M., Hübner H., Danzberger N., Titzmann A., Pontones C., Fasching P., Beckmann M., Eskofier B., Leutheuser H.:
  Usability and Perception of a Wearable-Integrated Digital Maternity Record App in Germany: User Study
  In: JMIR Pediatrics and Parenting 6 (2023), Article No.: e50765
  ISSN: 2561-6722
  DOI: 10.2196/50765
• Nitschke M., Marzilger R., Leyendecker S., Eskofier B., Koelewijn A.:
  Change the direction: 3D optimal control simulation by directly tracking marker and ground reaction force data
  In: PeerJ (2023)
  ISSN: 2167-8359
  DOI: 10.7717/peerj.14852
  URL: https://peerj.com/articles/14852/
• Nitschke M., Nwosu OB., Grube L., Knitza J., Seifer AK., Eskofier B., Schett G., Morf H.:
  Refinement and Usability Analysis of an eHealth App for Ankylosing Spondylitis as a Complementary Treatment to Physical Therapy: Development and Usability Study
  In: JMIR Formative Research 7 (2023), Article No.: e47426
  ISSN: 2561-326X
  DOI: 10.2196/47426
• Oesten M., Richer R., Abel L., Rohleder N., Eskofier B.:
  VoStress – Voice-based Detection of Acute Psychosocial Stress
  2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) (Pittsburgh, October 15, 2023 - October 18, 2023)
  In: 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) 2023
  DOI: 10.1109/BHI58575.2023.10313458
  URL: https://www.mad.tf.fau.de/files/2023/12/oesten23_stress_detection_voice.pdf
• Ollenschläger M., Höfner P., Ullrich M., Kluge F., Greinwalder T., Loris E., Regensburger M., Eskofier B., Winkler J., Gaßner H.:
  Automated assessment of foot elevation in adults with hereditary spastic paraplegia using inertial measurements and machine learning
  In: Orphanet Journal of Rare Diseases 18 (2023), Article No.: 249
  ISSN: 1750-1172
  DOI: 10.1186/s13023-023-02854-8
• Oppelt MP., Foltyn A., Deuschel J., Lang NR., Holzer N., Eskofier B., Yang SH.:
  ADABase: A Multimodal Dataset for Cognitive Load Estimation
  In: Sensors 23 (2023)
  ISSN: 1424-8220
  DOI: 10.3390/s23010340
• Pontones C., Titzmann A., Hübner H., Danzberger N., Rübner M., Häberle L., Eskofier B., Nissen M., Kehl S., Faschingbauer F., Beckmann M., Fasching P., Schneider M.:
  Feasibility and Acceptance of Self-Guided Mobile Ultrasound among Pregnant Women in Routine Prenatal Care
  In: Journal of Clinical Medicine 12 (2023), Article No.: 4224
  ISSN: 2077-0383
  DOI: 10.3390/jcm12134224
• Raab R., Küderle A., Zakreuskaya A., Stern AD., Klucken J., Kaissis G., Rueckert D., Boll S., Eils R., Wagener H., Eskofier B.:
  Federated electronic health records for the European Health Data Space
  In: The Lancet Digital Health 5 (2023), p. e840-e847
  ISSN: 2589-7500
  DOI: 10.1016/S2589-7500(23)00156-5
  URL: https://www.thelancet.com/journals/landig/article/PIIS2589-7500(23)00156-5/fulltext
• Ren Z., Schuller BW., Eskofier B., Nguyen TT., Nejdl W.:
  Guest Editorial Trustworthy and Collaborative AI for Personalised Healthcare Through Edge-of-Things
  In: IEEE Journal of Biomedical and Health Informatics 27 (2023), p. 5213-5215
  ISSN: 2168-2194
  DOI: 10.1109/JBHI.2023.3322052
• Richer R., Abel L., Küderle A., Eskofier B., Rohleder N.:
  CARWatch – A smartphone application for improving the accuracy of cortisol awakening response sampling
  In: Psychoneuroendocrinology 151 (2023), p. 106073
  ISSN: 0306-4530
  DOI: 10.1016/j.psyneuen.2023.106073
  URL: https://www.sciencedirect.com/science/article/abs/pii/S0306453023000513
• Richer R., Geßler T., Herzer L., Abel L., Küderle A., Rohleder N., Eskofier B.:
  openTSST – An open web platform for large-scale, video-based motion analysis during acute psychosocial stress
  IEEE-EMBS International Conference on Body Sensor Networks: Sensor and Systems for Digital Health (MIT Media Lab, Boston, MA, October 9, 2023 - October 11, 2023)
• Rodrigues VF., da Rosa Righi R., da Costa CA., Zeiser FA., Eskofier B., Maier A., Kim D.:
  Digital health in smart cities: Rethinking the remote health monitoring architecture on combining edge, fog, and cloud
  In: Health and Technology (2023)
  ISSN: 2190-7188
  DOI: 10.1007/s12553-023-00753-3
• Romijnders R., Salis F., Hansen C., Küderle A., Paraschiv-Ionescu A., Cereatti A., Alcock L., Aminian K., Becker C., Bertuletti S., Bonci T., Brown P., Buckley E., Cantu A., Carsin AE., Caruso M., Caulfield B., Chiari L., D'Ascanio I., Del Din S., Eskofier B., Fernstad SJ., Fröhlich MS., Garcia Aymerich J., Gazit E., Hausdorff JM., Hiden H., Hume E., Keogh A., Kirk C., Kluge F., Koch S., Mazzà C., Megaritis D., Micó-Amigo E., Müller A., Palmerini L., Rochester L., Schwickert L., Scott K., Sharrack B., Singleton D., Soltani A., Ullrich M., Vereijken B., Vogiatzis I., Yarnall A., Schmidt G., Maetzler W.:
  Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases
  In: Frontiers in Neurology 14 (2023), Article No.: 1247532
  ISSN: 1664-2295
  DOI: 10.3389/fneur.2023.1247532
• Rupp L., Keinert M., Böhme S., Gmelch LM., Eskofier B., Schuller BW., Berking M.:
  Sadness-Based Approach-Avoidance Modification Training for Subjective Stress in Adults: Pilot Randomized Controlled Trial
  In: JMIR Formative Research 7 (2023), p. e50324
  ISSN: 2561-326X
  DOI: 10.2196/50324
• Sadeghi M., Egger B., Agahi R., Richer R., Capito K., Rupp L., Gmelch LM., Berking M., Eskofier B.:
  Exploring the Capabilities of a Language Model-Only Approach for Depression Detection in Text Data
  IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) 2023 (Pittsburgh, PA, USA, October 15, 2023 - October 18, 2023)
  In: IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) 2023
  DOI: 10.1109/BHI58575.2023.10313367
  URL: https://ieeexplore.ieee.org/document/10313367
• Salis F., Bertuletti S., Bonci T., Caruso M., Scott K., Alcock L., Buckley E., Gazit E., Hansen C., Schwickert L., Aminian K., Becker C., Brown P., Carsin AE., Caulfield B., Chiari L., D’Ascanio I., Del Din S., Eskofier B., Garcia-Aymerich J., Hausdorff JM., Hume EC., Kirk C., Kluge F., Koch S., Küderle A., Maetzler W., Micó-Amigo EM., Mueller A., Neatrour I., Paraschiv-Ionescu A., Palmerini L., Yarnall AJ., Rochester L., Sharrack B., Singleton D., Vereijken B., Vogiatzis I., Della Croce U., Mazzà C., Cereatti A.:
  A multi-sensor wearable system for the assessment of diseased gait in real-world conditions
  In: Frontiers in Bioengineering and Biotechnology 11 (2023), Article No.: 1143248
  ISSN: 2296-4185
  DOI: 10.3389/fbioe.2023.1143248
• Scholl C., Spiegler M., Ludwig K., Eskofier B., Tobola A., Zanca D.:
  An Integrated Framework for Data Quality Fusion in Embedded Sensor Systems
  In: Sensors 23 (2023)
  ISSN: 1424-8220
  DOI: 10.3390/s23083798
• Schwinn L., Raab R., Nguyen A., Zanca D., Eskofier B.:
  Exploring misclassifications of robust neural networks to enhance adversarial attacks
  In: Applied Intelligence (2023)
  ISSN: 0924-669X
  DOI: 10.1007/s10489-023-04532-5
• Schüßler C., Hoffmann M., Wirth V., Eskofier B., Weyrich T., Stamminger M., Vossiek M.:
  Achieving Efficient and Realistic Full-Radar Simulations and Automatic Data Annotation by Exploiting Ray Meta Data from a Radar Ray Tracing Simulator
  2023 IEEE Radar Conference (RadarConf23) (2023 IEEE Radar Conference (RadarConf23). San Antonio, TX, US, June 21, 2023 - June 26, 2023)
  In: Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) (Grant Number: 44241933) (ed.): IEEE Xplore 2023
  DOI: 10.1109/RadarConf2351548.2023.10149641
• Seifer AK., Dorschky E., Küderle A., Moradi H., Hannemann R., Eskofier B.:
  EarGait: Estimation of Temporal Gait Parameters from Hearing Aid Integrated Inertial Sensors
  In: Sensors 23 (2023), Article No.: 6565
  ISSN: 1424-8220
  DOI: 10.3390/s23146565
  URL: https://www.mdpi.com/1424-8220/23/14/6565
• Shanbhag J., Fleischmann S., Eskofier B., Koelewijn A., Wartzack S., Miehling J.:
  Towards postural control simulation using a sensorimotor enhanced musculoskeletal human model
  ISPGR World Congress 2023 (Brisbane, July 9, 2023 - July 13, 2023)
• Shanbhag J., Wolf A., Wechsler I., Fleischmann S., Winkler J., Leyendecker S., Eskofier B., Koelewijn A., Wartzack S., Miehling J.:
  Methods for integrating postural control into biomechanical human simulations: a systematic review
  In: Journal of neuroEngineering and rehabilitation 20 (2023), Article No.: 111
  ISSN: 1743-0003
  DOI: 10.1186/s12984-023-01235-3
• Stahlke M., Feigl T., Kram S., Eskofier B., Mutschler C.:
  Uncertainty-based Fingerprinting Model Selection for Radio Localization
  13th International Conference on Indoor Positioning and Indoor Navigation (IPIN) (Nuremberg, Germany, September 25, 2023 - September 28, 2023)
  In: Proc. 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2023) 2023
  DOI: 10.1109/IPIN57070.2023.10332531
• Stahlke M., Yammine G., Feigl T., Eskofier B., Mutschler C.:
  Indoor Localization with Robust Global Channel Charting: A Time-Distance-Based Approach
  In: IEEE Transactions on Machine Learning in Communications and Networking 1 (2023), p. 1-15
  ISSN: 2831-316X
  DOI: 10.1109/TMLCN.2023.3256964
• Ullrich M., Roth N., Küderle A., Richer R., Gladow T., Gaßner H., Marxreiter F., Klucken J., Eskofier B., Kluge F.:
  Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data.
  In: IEEE Journal of Biomedical and Health Informatics 27 (2023), p. 319-328
  ISSN: 2168-2194
  DOI: 10.1109/JBHI.2022.3215921
• Vorberg L., Pflüger S., Richer R., Jäger K., Küderle A., Rohleder N., Eskofier B.:
  Prediction of Stress Coping Capabilities from Nightly Heart Rate Patterns using Machine Learning
  2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) (Pittsburgh, October 15, 2023 - October 18, 2023)
  In: 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) 2023
  DOI: 10.1109/BHI58575.2023.10313401
  URL: https://www.mad.tf.fau.de/files/2023/12/vorberg_pflueger23_stress_coping_nightly_hr.pdf
• Zugarini A., Röthenbacher T., Klede K., Ernandes M., Eskofier B., Zanca D.:
  Die Rätselrevolution: Automated German Crossword Solving
  CLiC-it 2023 - Italian Conference on Computational Linguistics (Venice, November 30, 2023 - December 2, 2023)
  In: Federico Boschetti, Gianluca E. Lebani, Bernardo Magnini, Nicole Novielli (ed.): Proceedings of the 9th Italian Conference on Computational Linguistics 2023
  Open Access: https://ceur-ws.org/Vol-3596/paper54.pdf
  URL: https://ceur-ws.org/Vol-3596/paper54.pdf
• Zürl M., Dirauf R., Köferl F., Steinlein N., Sueskind J., Zanca D., Brehm I., von Fersen L., Eskofier B.:
  PolarBearVidID: A Video-Based Re-Identification Benchmark Dataset for Polar Bears
  In: Animals 13 (2023), p. 801
  ISSN: 2076-2615
  DOI: 10.3390/ani13050801
• da Rosa Tavares JE., Ullrich M., Roth N., Kluge F., Eskofier B., Gaßner H., Klucken J., Gladow T., Marxreiter F., da Costa CA., da Rosa Righi R., Victória Barbosa JL.:
  uTUG: An unsupervised Timed Up and Go test for Parkinson's disease
  In: Biomedical Signal Processing and Control 81 (2023), Article No.: 104394
  ISSN: 1746-8094
  DOI: 10.1016/j.bspc.2022.104394

2022

• Albrecht BM., Flasskamp FT., Koster A., Eskofier B., Bammann K.:
  Cross-sectional survey on researchers' experience in using accelerometers in health-related studies
  In: BMJ Open Sport and Exercise Medicine 8 (2022)
  ISSN: 2055-7647
  DOI: 10.1136/bmjsem-2021-001286
• Antunes RS., Da Costa CA., Küderle A., Abdullahi I., Eskofier B.:
  Federated Learning for Healthcare: Systematic Review and Architecture Proposal
  In: ACM Transactions on Intelligent Systems and Technology (2022)
  ISSN: 2157-6904
  DOI: 10.1145/3501813
  URL: https://dl.acm.org/doi/10.1145/3501813
• Cakici A., Oßwald M., Souza de Oliveira D., Braun D., Simpetru R., Kinfe TM., Eskofier B., Del Vecchio A.:
  A Generalized Framework for the Study of Spinal Motor Neurons Controlling the Human Hand During Dynamic Movements
  44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 (Scottish Event Campus, Glasgow, July 11, 2022 - July 15, 2022)
  DOI: 10.1109/EMBC48229.2022.9870914
• Cakici AL., Oßwald M., Souza de Oliveira D., Braun D., Simpetru RC., Kinfe TM., Eskofier B., Del Vecchio A.:
  A Generalized Framework for the Study of Spinal Motor Neurons Controlling the Human Hand During Dynamic Movements
  44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 (Glasgow, GBR, July 11, 2022 - July 15, 2022)
  In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2022
  DOI: 10.1109/EMBC48229.2022.9870914
• Ceron JD., Lopez DM., Eskofier B., Kluge F.:
  Framework for Simultaneous Indoor Localization, Mapping, and Human Activity Recognition in Ambient Assisted Living Scenarios
  In: Sensors 22 (2022)
  ISSN: 1424-8220
  DOI: 10.3390/s22093364
• Dib W., Ghanem K., Ababou A., Eskofier B.:
  Human Activity Recognition based on the Fading characteristics of the On-body Channel
  In: IEEE Sensors Journal (2022)
  ISSN: 1530-437X
  DOI: 10.1109/JSEN.2022.3159992
• Facco Rodrigues V., Righi RR., Andre da Costa C., Stoffel Antunes R., Bazo R., Reis ES., Seewald LA., S. LG., Eskofier B.:
  HealthStack: Providing an IoT Middleware for Malleable QoS Service Stacking for Hospital 4.0 Operating Rooms
  In: IEEE Internet of Things (2022)
  ISSN: 2327-4662
  DOI: 10.1109/JIOT.2022.3160633
• Fidorra J., Nissen M., Abdullahi Yari I., Ostgathe C., Steigleder T., Eskofier B.:
  Concept of a Simple Reaction Test for eHealth-Based Opioid Response Assessment in Palliative Care
  12th World Research Congress of the European Association for Palliative Care (Online, May 18, 2022 - May 20, 2022)
  DOI: 10.1177/02692163221093145
  URL: https://journals.sagepub.com/doi/10.1177/02692163221093145
• Flaucher M., Nissen M., Jäger K., Titzmann A., Pontones C., Hübner H., Fasching P., Beckmann M., Gradl S., Eskofier B.:
  Smartphone-Based Colorimetric Analysis of Urine Test Strips for At-Home Prenatal Care
  In: IEEE Journal of Translational Engineering in Health and Medicine (2022), p. 1-9
  ISSN: 2168-2372
  DOI: 10.1109/JTEHM.2022.3179147
• Froehlich H., Bontridder N., Petrovska-Delacreta D., Glaab E., Kluge F., El Yacoubi M., Marin Valero M., Corvol JC., Eskofier B., Van Gyseghem JM., Lehericy S., Winkler J., Klucken J.:
  Leveraging the Potential of Digital Technology for Better Individualized Treatment of Parkinson's Disease
  In: Frontiers in Neurology 13 (2022)
  ISSN: 1664-2295
  DOI: 10.3389/fneur.2022.788427
• Gmelch LM., Böhme S., Capito K., Rupp L., Richer R., Sadeghi M., Eskofier B., Berking M.:
  EmpkinS - Empathokinästhetische Sensorik für Biofeedback bei Depression
  Deutscher Psychotherapiekongress (DPK) (Berlin, June 7, 2022 - June 11, 2022)
  URL: https://deutscher-psychotherapie-kongress.de/wp-content/uploads/2022/06/web_Programm_DPK2022_SS_09062022_final.pdf
• Hagengruber A., Leipscher U., Eskofier B., Vogel J.:
  A New Labeling Approach for Proportional Electromyographic Control
  In: Sensors 22 (2022), Article No.: 1368
  ISSN: 1424-8220
  DOI: 10.3390/s22041368
• Hecht D., Pfahler T., Ullmann I., Altstidl TR., Amer N., Jin Y., Eskofier B., Vossiek M.:
  In Vivo Skin-Type Classification Using Millimeter-Wave Near-Field Probe Spectroscopy
  2022 52nd European Microwave Conference (Milan, September 27, 2022 - September 29, 2022)
  In: Institute of Electrical and Electronics Engineers (IEEE) (ed.): 2022 52nd European Microwave Conference, Milan: 2022
  DOI: 10.23919/EuMC54642.2022.9924376
• Herzer L., Mücke A., Richer R., Albrecht NC., Heyder M., Jäger K., König V., Koelpin A., Rohleder N., Eskofier B.:
  Influence of Sensor Position and Body Movements on Radar-Based Heart Rate Monitoring
  2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) (Ioannina, September 27, 2022 - September 30, 2022)
  DOI: 10.1109/BHI56158.2022.9926775
  URL: https://www.mad.tf.fau.de/files/2022/11/herzer_muecke22_validation_mis.pdf
• Ibrahim A., Flachenecker F., Gaßner H., Rothammer V., Klucken J., Eskofier B., Kluge F.:
  Short inertial sensor-based gait tests reflect perceived state fatigue in multiple sclerosis
  In: Multiple Sclerosis and Related Disorders 58 (2022), Article No.: 103519
  ISSN: 2211-0348
  DOI: 10.1016/j.msard.2022.103519
• Jäger K., Nissen M., Richer R., Rahm S., Titzmann A., Fasching P., Eskofier B., Leutheuser H.:
  Machine Learning-based Detection of In-Utero Fetal Presentation from Non-Invasive Fetal ECG
  2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) (Ioannina, September 27, 2022 - September 30, 2022)
  DOI: 10.1109/BHI56158.2022.9926804
• Knitza J., Janousek L., Kluge F., Von Der Decken CB., Kleinert S., Vorbrueggen W., Kleyer A., Simon D., Hueber A., Muehlensiepen F., Vuillerme N., Schett G., Eskofier B., Welcker M., Bartz-Bazzanella P.:
  Machine learning-based improvement of an online rheumatology referral and triage system
  In: Frontiers in Medicine 9 (2022), Article No.: 954056
  ISSN: 2296-858X
  DOI: 10.3389/fmed.2022.954056
• Krauß D., Richer R., Küderle A., Beilner J., Rohleder N., Eskofier B.:
  Benchmarking of Sleep/Wake Detection Algorithms on a Large Cohort using Actigraphy, HRV, and Respiration Information
  IEEE-EMBS International Conference on Biomedical and Health Informatics (Ioaninna, September 26, 2022 - September 30, 2022)
• Krauß D., Richer R., Küderle A., Rohleder N., Eskofier B.:
  Towards Integration of Sleep Quality in Sports Monitoring – Improving Wearable Sleep Detection Algorithms through Respiratory Information
  13th World Congress of Performance Analysis of Sport 2022 & 13th International Symposium on Computer Science in Sport 2022 (Wien, September 10, 2022 - September 13, 2022)
• Küderle A., Roth N., Richer R., Eskofier B.:
  imucal - A Python library to calibrate 6 DOF IMUs
  In: Journal of Open Source Software 7 (2022), p. 4338
  ISSN: 2475-9066
  DOI: 10.21105/joss.04338
  URL: https://www.theoj.org/joss-papers/joss.04338/10.21105.joss.04338.pdf
• Küderle A., Roth N., Zlatanovic J., Zrenner M., Eskofier B., Kluge F.:
  The placement of foot-mounted IMU sensors does affect the accuracy of spatial parameters during regular walking
  In: PLoS ONE 17 (2022)
  ISSN: 1932-6203
  DOI: 10.1371/journal.pone.0269567
• Link J., Perst T., Stöve M., Eskofier B.:
  Wearable Sensors for Activity Recognition in Ultimate Frisbee Using Convolutional Neural Networks and Transfer Learning
  In: Sensors 22 (2022), p. 2560
  ISSN: 1424-8220
  DOI: 10.3390/s22072560
• Link J., Schwinn L., Pulsmeyer F., Kautz T., Eskofier B.:
  xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning
  In: Sensors 22 (2022), Article No.: 8474
  ISSN: 1424-8220
  DOI: 10.3390/s22218474
• Löffler C., Reeb L., Dzibela D., Marzilger R., Witt N., Eskofier B., Mutschler C.:
  Deep Siamese Metric Learning: A Highly Scalable Approach to Searching Unordered Sets of Trajectories
  In: ACM Transactions on Intelligent Systems and Technology 13 (2022), Article No.: 6
  ISSN: 2157-6904
  DOI: 10.1145/3465057
• Maier J., Nitschke M., Choi JH., Gold G., Fahrig R., Eskofier B., Maier A.:
  Rigid and Non-Rigid Motion Compensation in Weight-Bearing CBCT of the Knee Using Simulated Inertial Measurements
  In: IEEE Transactions on Biomedical Engineering 69 (2022), p. 1608-1619
  ISSN: 0018-9294
  DOI: 10.1109/TBME.2021.3123673
• Mehringer W., Wirth M., Roth D., Michelson G., Eskofier B.:
  Stereopsis Only: Validation of a Monocular Depth Cues Reduced Gamified Virtual Reality with Reaction Time Measurement
  In: IEEE Transactions on Visualization and Computer Graphics (2022)
  ISSN: 1077-2626
  DOI: 10.1109/TVCG.2022.3150486
• Moradi H., Roth N., Seifer AK., Eskofier B.:
  Detection of distorted gait and wearing-off phenomenon in Parkinson's disease patients during Levodopa therapy
  4th IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks (BSN) / 18th IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) (Ioannina)
  In: 2022 IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI) JOINTLY ORGANISED WITH THE IEEE-EMBS INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN'22), NEW YORK: 2022
  DOI: 10.1109/BHI56158.2022.9926873
• Müller V., Richer R., Henrich L., Berger L., Gelardi A., Jäger K., Eskofier B., Rohleder N.:
  The Stroop Competition: A Social-Evaluative Stroop Test for Acute Stress Induction
  IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) (Ioannina, September 27, 2022 - September 30, 2022)
  DOI: 10.1109/BHI56158.2022.9926835
  URL: https://www.mad.tf.fau.de/files/2022/11/mueller22_stroop_competition.pdf
• Müller V., Richer R., Jäger K., Henrich L., Berger L., Gelardi A., Eskofier B., Rohleder N.:
  The Stroop Competition: A Social-Evaluative Stroop Test For Acute Stress Induction
  79th Annual Scientific Meeting of the American Psychosomatic Society (Long Beach, CA, March 23, 2022 - March 26, 2022)
  In: Lippincott Williams & Wilkins (ed.): Psychosomatic Medicine, PHILADELPHIA: 2022
  DOI: 10.1109/bhi56158.2022.9926835
• Nissen M., Slim S., Jäger K., Flaucher M., Hübner H., Danzberger N., Fasching P., Beckmann M., Gradl S., Eskofier B.:
  Heart Rate Measurement Accuracy of Fitbit Charge 4 and Samsung Galaxy Watch Active2: Device Evaluation Study
  In: JMIR Formative Research 6 (2022), p. e33635
  ISSN: 2561-326X
  DOI: 10.2196/33635
• Nitschke M., Marzilger R., Leyendecker S., Eskofier B., Koelewijn A.:
  Optical motion capturing of change of direction motions reconstructed with inverse kinematics and dynamics and optimal control simulation
  (2022)
  DOI: 10.5281/zenodo.6949012
  (anderer)
• Ollenschläger M., Küderle A., Mehringer W., Seifer AK., Winkler J., Gaßner H., Eskofier B., Kluge F.:
  MaD GUI: An Open-Source Python Package for Annotation and Analysis of Time-Series Data
  In: Sensors 22 (2022)
  ISSN: 1424-8220
  DOI: 10.3390/s22155849
• Ollenschläger M., Müller-Schulz M., Püllen R., Möller C., Klucken J., Eskofier B., Kluge F.:
  Correction to: Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards? (European Geriatric Medicine, (2022), 10.1007/s41999-022-00629-1)
  In: European Geriatric Medicine (2022)
  ISSN: 1878-7649
  DOI: 10.1007/s41999-022-00646-0
• Ollenschläger M., Müller-Schulz M., Püllen R., Möller C., Klucken J., Eskofier B., Kluge F.:
  Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards?
  In: European Geriatric Medicine (2022)
  ISSN: 1878-7649
  DOI: 10.1007/s41999-022-00629-1
• Qiu J., Oppelt M., Nissen M., Anneken L., Breininger K., Eskofier B.:
  Improving Deep Learning-based Cardiac Abnormality Detection in 12-Lead ECG with Data Augmentation
  In: : 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2022
  DOI: 10.1109/EMBC48229.2022.9871969
• Regensburger M., Spatz I., Ollenschläger M., Martindale C., Lindeburg P., Kohl Z., Eskofier B., Klucken J., Schuele R., Klebe S., Winkler J., Gaßner H.:
  Inertial Gait Sensors to Measure Mobility and Functioning in Hereditary Spastic Paraplegia A Cross-sectional Multicenter Clinical Study
  In: Neurology 99 (2022), p. E1079-E1089
  ISSN: 0028-3878
  DOI: 10.1212/WNL.0000000000200819
• Richer R., Koch V., Küderle A., Müller V., Wirth V., Stamminger M., Rohleder N., Eskofier B.:
  Detection of Acute Psychosocial Stress from Body Movements using Machine Learning
  79th Annual Scientific Meeting of the American Psychosomatic Society (Long Beach, CA, March 23, 2022 - March 26, 2022)
  In: Lippincott Williams & Wilkins (ed.): Psychosomatic Medicine 2022
• Richer R., Zenkner JJ., Küderle A., Rohleder N., Eskofier B.:
  Exploring the Cold Face Test as a Mechanism for Reducing Acute Psychosocial Stress Responses
  79th Annual Scientific Meeting of the American Psychosomatic Society (Long Beach, CA, March 23, 2022 - March 26, 2022)
  In: Lippincott Williams & Wilkins (ed.): Psychosomatic Medicine 2022
• Richer R., Zenkner JJ., Küderle A., Rohleder N., Eskofier B.:
  Vagus activation by Cold Face Test reduces acute psychosocial stress responses
  In: Scientific Reports 12 (2022), Article No.: 19270
  ISSN: 2045-2322
  DOI: 10.1038/s41598-022-23222-9
  URL: https://www.nature.com/articles/s41598-022-23222-9
• Rodrigues VF., Antunes RS., Seewald LA., Bazo R., dos Reis ES., dos Santos UJ., Righi RdR., da S. LG., da Costa CA., Bertollo FL., Maier A., Eskofier B., Horz T., Pfister M., Fahrig R.:
  A multi-sensor architecture combining human pose estimation and real-time location systems for workflow monitoring on hybrid operating suites
  In: Future Generation Computer Systems-The International Journal of Grid Computing Theory Methods and Applications 135 (2022), p. 283-298
  ISSN: 0167-739X
  DOI: 10.1016/j.future.2022.05.006
• Rohleder N., Richer R., Koch V., Küderle A., Müller V., Wirth V., Stamminger M., Eskofier B.:
  Effect of Acute Psychosocial Stress on Body Movements
  79th Annual Scientific Meeting of the American Psychosomatic Society (Long Beach, CA, March 23, 2022 - March 26, 2022)
  In: Lippincott Williams & Wilkins (ed.): Psychosomatic Medicine 2022
• Roth N., Ullrich M., Küderle A., Gladow T., Marxreiter F., Gaßner H., Kluge F., Klucken J., Eskofier B.:
  Real-World Stair Ambulation Characteristics Differ Between Prospective Fallers and Non-Fallers in Parkinson’s Disease
  In: IEEE Journal of Biomedical and Health Informatics (2022), p. 1-9
  ISSN: 2168-2194
  DOI: 10.1109/JBHI.2022.3186766
• Rupp L., Keinert M., Böhme S., Gmelch LM., Streit H., Schuller BW., Eskofier B., Berking M.:
  Let It Go – A Randomized Controlled Pilot Study Exploring the Utility of Sadness in an Emotion-Based Approach-Avoidance Modification Training in the Context of Stress
  Deutscher Psychotherapie Kongress (Berlin, June 7, 2022 - June 11, 2022)
• Schmidt LM., Brosig J., Plinge A., Eskofier B., Mutschler C.:
  An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility
  25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022 (Macau, CHN, October 8, 2022 - October 12, 2022)
  In: IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC 2022
  DOI: 10.1109/ITSC55140.2022.9922205
• Schmidt LM., Rietsch S., Plinge A., Eskofier B., Mutschler C.:
  How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies
  25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022 (Macau, CHN, October 8, 2022 - October 12, 2022)
  In: IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC 2022
  DOI: 10.1109/ITSC55140.2022.9922345
• Schwinn L., Bungert L., Nguyen A., Raab R., Pulsmeyer F., Precup D., Eskofier B., Zanca D.:
  Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification
  Proceedings of the 39th International Conference on Machine Learning (Baltimore, USA, July 17, 2022 - July 23, 2022)
  In: PMLR (ed.): 162 2022
  Open Access: https://proceedings.mlr.press/v162/schwinn22a.html
  URL: https://proceedings.mlr.press/v162/schwinn22a.html
• Scott K., Bonci T., Salis F., Alcock L., Buckley E., Gazit E., Hansen C., Schwickert L., Aminian K., Bertuletti S., Caruso M., Chiari L., Sharrack B., Maetzler W., Becker C., Hausdorff JM., Vogiatzis I., Brown P., Del Din S., Eskofier B., Paraschiv-Ionescu A., Keogh A., Kirk C., Kluge F., Mico-Amigo EM., Mueller A., Neatrour I., Niessen M., Palmerini L., Sillen H., Singleton D., Ullrich M., Vereijken B., Froehlich M., Brittain G., Caulfield B., Koch S., Carsin AE., Garcia-Aymerich J., Küderle A., Yarnall A., Rochester L., Cereatti A., Mazza C.:
  Design and validation of a multi-task, multi-context protocol for real-world gait simulation
  In: Journal of neuroEngineering and rehabilitation 19 (2022)
  ISSN: 1743-0003
  DOI: 10.1186/s12984-022-01116-1
• Souza de Oliveira D., Casolo A., Balshaw TG., Maeo S., Lanza MB., Martin NRW., Maffulli N., Kinfe TM., Eskofier B., Folland JP., Farina D., Del Vecchio A.:
  Neural decoding from surface high-density EMG signals: influence of anatomy and synchronization on the number of identified motor units
  In: Journal of Neural Engineering 19 (2022)
  ISSN: 1741-2560
  DOI: 10.1088/1741-2552/ac823d
• Stern AD., Brönneke J., Debatin JF., Hagen J., Matthies H., Patel S., Clay I., Eskofier B., Herr A., Hoeller K., Jaksa A., Kramer DB., Kyhlstedt M., Lofgren KT., Mahendraratnam N., Muehlan H., Reif S., Riedemann L., Goldsack JC.:
  Advancing digital health applications: priorities for innovation in real-world evidence generation
  In: The Lancet Digital Health 4 (2022), p. e200-e206
  ISSN: 2589-7500
  DOI: 10.1016/S2589-7500(21)00292-2
• Stöve M., Wirth M., Farlock R., Antunovic A., Müller V., Eskofier B.:
  Eye Tracking-Based Stress Classification of Athletes in Virtual Reality
  In: Proceedings of the ACM on Computer Graphics and Interactive Techniques 5 (2022), p. 1-17
  ISSN: 2577-6193
  DOI: 10.1145/3530796
• Truong MT., Nwosu OB., Gaytan Torres ME., Segura Vargas MP., Seifer AK., Nitschke M., Ibrahim A., Knitza J., Krusche M., Eskofier B., Schett G., Morf H.:
  A Yoga Exercise App Designed for Patients With Axial Spondylarthritis: Development and User Experience Study
  In: JMIR Formative Research 6 (2022), p. e34566
  ISSN: 2561-326X
  DOI: 10.2196/34566
  URL: https://formative.jmir.org/2022/6/e34566
• Ullrich M., Roth N., Küderle A., Richer R., Gladow T., Gaßner H., Marxreiter F., Klucken J., Eskofier B., Kluge F.:
  Fall Risk Prediction in Parkinson’s Disease Using Real-World Inertial Sensor Gait Data
  In: IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022)
  ISSN: 1534-4320
  DOI: 10.1109/jbhi.2022.3215921
  URL: https://ieeexplore.ieee.org/document/9924545
• Vorberg L., Pflüger S., Richer R., Jäger K., Küderle A., Nassall K., Eskofier B., Rohleder N.:
  Prediction of Stress Coping Capabilities from Nightly Heart Rate Patterns Using Machine Learning
  79th Annual Scientific Meeting of the American Psychosomatic Society (Long Beach, CA, March 23, 2022 - March 26, 2022)
  In: Lippincott Williams & Wilkins (ed.): Psychosomatic Medicine, PHILADELPHIA: 2022
• Weber N., Lennartz R., Knitza J., Bayat S., Sadeghi M., Ibrahim A., Karatastan C., Sudhakar A., Ramzezanzadegan N., Kahali S., Mirzayev A., Schuster L., Schett G., Eskofier B., Kleyer A.:
  AB1528-HPR FULL BODY HAPTIC BODYSUIT - AN INSTRUMENT TO MEASURE THE RANGE AND SPEED OF MOTION IN PATIENTS WITH AXIAL SPONDYLOARTHRITIS (axSpA) - PRELIMINARY RESULTS
  In: Annals of the Rheumatic Diseases 81 (2022), p. 1866.2-1867
  ISSN: 0003-4967
  DOI: 10.1136/annrheumdis-2022-eular.3069
• Wehbi M., Luge D., Hamann T., Barth J., Kaempf P., Zanca D., Eskofier B.:
  Surface-Free Multi-Stroke Trajectory Reconstruction and Word Recognition Using an IMU-Enhanced Digital Pen
  In: Sensors 22 (2022), p. 5347
  ISSN: 1424-8220
  DOI: 10.3390/s22145347
• Wirth M., Mehringer W., Gradl S., Eskofier B.:
  Extended Realities (XRs): How Immersive Technologies Influence Assessment and Training for Extreme Environments
  In: Tobias Cibis, Dr. Carolyn McGregor AM (ed.): Engineering and Medicine in Extreme Environments, Cham: Springer, 2022, p. 309-335
  ISBN: 978-3-030-96921-9
  DOI: 10.1007/978-3-030-96921-9_14
  URL: https://link.springer.com/chapter/10.1007/978-3-030-96921-9_14
• Zrenner M., Stöve M., Franklin S., Kumar B., Jensen U., Eskofier B.:
  Data-Driven Optimization of Sensor Placement for Pressure Insoles Using Particle Swarm Optimization
  In: Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS Conference, Springer, Cham, 2022, p. 160-164
  ISBN: 9783030993320
  DOI: 10.1007/978-3-030-99333-7_27
• Zürl M., Stoll P., Brehm I., Raab R., Zanca D., Kabri S., Happold J., Nille H., Prechtel K., Wünsch S., Krause M., Seegerer S., von Fersen L., Eskofier B.:
  Automated Video-Based Analysis Framework for Behavior Monitoring of Individual Animals in Zoos Using Deep Learning—A Study on Polar Bears
  In: Animals 12 (2022), p. 692
  ISSN: 2076-2615
  DOI: 10.3390/ani12060692

2021

• Abdullahi I., Dehling T., Kluge F., Eskofier B., Sunyaev A.:
  Online at Will: A Novel Protocol for Mutual Authentication in Peer-to-Peer Networks for Patient-Centered Health Care Information Systems
  In: 54th Hawaii International Conference on Systems Sciences (HICSS-54) 2021
  DOI: 10.24251/hicss.2021.463
  URL: https://scholarspace.manoa.hawaii.edu/handle/10125/71079
• Abdullahi I., Dehling T., Kluge F., Geck J., Sunyaev A., Eskofier B.:
  Security Engineering of Patient-Centered Health Care Information Systems in Peer-to-Peer Environments: Systematic Review
  In: Journal of Medical Internet Research 23 (2021), p. e24460
  ISSN: 1438-8871
  DOI: 10.2196/24460
  URL: https://www.jmir.org/2021/11/e24460
• Dib W., Ghanem K., Nedil M., Ababou A., Eskofier B.:
  Identification of individuals through a new Gait Recognition Method
  2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 (Singapore, December 4, 2021 - December 10, 2021)
  In: 2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings 2021
  DOI: 10.1109/APS/URSI47566.2021.9704596
• Dorschky E., Nitschke M., van den Bogert AJ., Koelewijn A., Eskofier B.:
  Machine Learning from Biomechanical SimulaIons for an "in the Wild" Movement Analysis
  6th International Congress on Complex Systems in Sports (ICCSS) (Mainz, Germany, September 15, 2021 - September 17, 2021)
• Dos Reis ES., Seewald LA., Antunes RS., Rodrigues VF., Righi RDR., Da Costa CA., Da Silveira Jr LG., Eskofier B., Maier A., Horz T., Fahrig R.:
  Monocular multi-person pose estimation: A survey
  In: Pattern Recognition 118 (2021)
  ISSN: 0031-3203
  DOI: 10.1016/j.patcog.2021.108046
• Dumbach P., Liu R., Jalowski M., Eskofier B.:
  The Adoption Of Artificial Intelligence In SMEs - A Cross-National Comparison In German And Chinese Healthcare
  20th International Conference on Perspectives in Business Informatics Research (BIR 2021) Workshops (ILOG 2021) (Vienna, Austria (fully-virtual conference), September 22, 2021 - September 24, 2021)
  In: Forbig P., Hinkelmann K., Kirikova M., Lantow B., Møller C., Morichetta A., Plebani P., Re B., Sandkuhl K., Seigerroth U. (ed.): Joint Proceedings of the BIR 2021 Workshops and Doctoral Consortium co-located with 20th International Conference on Perspectives in Business Informatics Research (BIR 2021) 2021
  URL: http://ceur-ws.org/Vol-2991/paper08.pdf
• Dörflinger L., Nissen M., Jäger K., Wirth M., Titzmann A., Pontones C., Fasching P., Beckmann M., Gradl S., Eskofier B.:
  Digital Maternity Records: Motivation, Acceptance, Requirements, Usability and Prototype Evaluation of an Interface for Physicians and Midwives
  MuC '21: Mensch und Computer 2021 (Ingolstadt, September 5, 2021 - September 8, 2021)
  In: Mensch und Computer 2021 2021
  DOI: 10.1145/3473856.3473994
• Hagengruber A., Leipscher U., Eskofier B., Vogel J.:
  Electromyography for Teleoperated Tasks in Weightlessness
  In: IEEE Transactions on Human-Machine Systems (2021)
  ISSN: 2168-2291
  DOI: 10.1109/THMS.2020.3047975
• Happold J., Richer R., Küderle A., Gaßner H., Klucken J., Eskofier B., Kluge F.:
  Evaluation of Orthostatic Reactions in Real-World Environments Using Wearable Sensors
  2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (, November 1, 2021 - November 5, 2021)
  DOI: 10.1109/EMBC46164.2021.9630842
  URL: https://www.mad.tf.fau.de/files/2021/12/happold21_vertigo_home.pdf
• Jakob V., Küderle A., Klucken J., Eskofier B., Winkler J., Winterholler M., Gaßner H., Kluge F.:
  Validation of a sensor-based gait analysis system with a gold-standard motion capture system in patients with parkinson’s disease
  In: Sensors 21 (2021), Article No.: 7680
  ISSN: 1424-8220
  DOI: 10.3390/s21227680
• Kamal Mallick M., Biser S., Haridas A., Umesh V., Toensing O., Abdullahi I., Ollenschläger M., Heckel M., Kluge F., Ostgathe C., Eskofier B., Steigleder T.:
  Improving Dyspnoea Symptom Control of Patients in Palliative Care Using a Smart Patch-A Proof of Concept Study
  In: Frontiers in Digital Health 3 (2021)
  ISSN: 2673-253X
  DOI: 10.3389/fdgth.2021.765867
  URL: https://www.frontiersin.org/articles/10.3389/fdgth.2021.765867/full?&utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&field=&journalName=Frontiers_in_Digital_Health&id=765867#h6
• Kluge F., Del Din S., Cereatti A., Gaßner H., Hansen C., Helbostad JL., Klucken J., Küderle A., Mueller A., Rochester L., Ullrich M., Eskofier B., Mazza C.:
  Consensus based framework for digital mobility monitoring
  In: PLoS ONE 16 (2021)
  ISSN: 1932-6203
  DOI: 10.1371/journal.pone.0256541
• Laut P., Dumbach P., Eskofier B.:
  Integration of Artificial Intelligence in the Organizational Adoption – A Configurational Perspective
  Forty-Second International Conference on Information Systems (Austin, December 11, 2021 - November 15, 2021)
  In: Association for Information Systems (ed.): ICIS 2021 Proceedings 2021
  URL: https://aisel.aisnet.org/icis2021/is_implement/is_implement/2/
• Link J., Guillaume S., Eskofier B.:
  Experimental validation of real-time ski jumping tracking system based on wearable sensors
  In: Sensors 21 (2021), Article No.: 7780
  ISSN: 1424-8220
  DOI: 10.3390/s21237780
  URL: https://www.mdpi.com/1424-8220/21/23/7780
• Lukas C., Eskofier B., Berking M.:
  A gamified smartphone-based intervention for depression: Randomized Controlled Pilot Trial.
  In: JMIR Mental Health 8 (2021), Article No.: e16643
  ISSN: 2368-7959
  DOI: 10.2196/16643
• Maier J., Maier A., Eskofier B., Fahrig R., Choi JH.:
  3D Non-Rigid Alignment of Low-Dose Scans Allows to Correct for Saturation in Lower Extremity Cone-Beam CT
  In: IEEE Access 9 (2021), p. 71821-71831
  ISSN: 2169-3536
  DOI: 10.1109/ACCESS.2021.3079368
• Maier J., Nitschke M., Choi JH., Gold G., Fahrig R., Eskofier B., Maier A.:
  Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee
  German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
  In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
  DOI: 10.1007/978-3-658-33198-6_81
• Martindale C., Christlein V., Klumpp P., Eskofier B.:
  Wearables-based multi-task gait and activity segmentation using recurrent neural networks
  In: Neurocomputing 432 (2021), p. 250-261
  ISSN: 0925-2312
  DOI: 10.1016/j.neucom.2020.08.079
• Mazza C., Alcock L., Aminian K., Becker C., Bertuletti S., Bonci T., Brown P., Brozgol M., Buckley E., Carsin AE., Caruso M., Caulfield B., Cereatti A., Chiari L., Chynkiamis N., Ciravegna F., Del Din S., Eskofier B., Evers J., Aymerich JG., Gazit E., Hansen C., Hausdorff JM., Helbostad JL., Hiden H., Hume E., Paraschiv-Ionescu A., Ireson N., Keogh A., Kirk C., Kluge F., Koch S., Küderle A., Lanfranchi V., Maetzler W., Mico-Amigo ME., Mueller A., Neatrour I., Niessen M., Palmerini L., Pluimgraaff L., Reggi L., Salis F., Schwickert L., Scott K., Sharrack B., Sillen H., Singleton D., Soltani A., Taraldsen K., Ullrich M., Van Gelder L., Vereijken B., Vogiatzis I., Warmerdam E., Yarnall A., Rochester L.:
  Technical validation of real-world monitoring of gait: a multicentric observational study
  In: BMJ Open 11 (2021)
  ISSN: 2044-6055
  DOI: 10.1136/bmjopen-2021-050785
• Mehringer W., Wirth M., Risch F., Roth D., Michelson G., Michelson G., Eskofier B.:
  Hess Screen Revised: How Eye Tracking and Virtual Reality change Strabismus Assessment
  2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (, November 1, 2021 - November 5, 2021)
  In: IEEE (ed.): 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2021
  DOI: 10.1109/EMBC46164.2021.9631002
  URL: https://ieeexplore.ieee.org/document/9631002
• Nann M., Haslacher D., Colucci A., Eskofier B., Von Tscharner V., Soekadar SR.:
  Heart rate variability predicts decline in sensorimotor rhythm control
  In: Journal of Neural Engineering 18 (2021)
  ISSN: 1741-2560
  DOI: 10.1088/1741-2552/ac1177
• Nguyen A., Foerstel S., Kittler T., Kurzyukov A., Schwinn L., Zanca D., Hipp T., Jun SD., Schrapp M., Rothgang E., Eskofier B.:
  System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data
  In: IEEE Access (2021)
  ISSN: 2169-3536
  DOI: 10.1109/ACCESS.2021.3106791
• Nitschke M., Dorschky E., Eskofier B., Koelewijn A., van den Bogert AJ.:
  Trajectory Optimization of a 3D Musculoskeletal Model with Inertial Sensors
  XXVIII Congress of the International Society of Biomechanics (ISB) (Online, July 25, 2021 - July 29, 2021)
  URL: https://www.mad.tf.fau.de/files/2021/07/nitschke_isb_2021_abstract.pdf
• Pasluosta CF., Popovic MR., Eskofier B., Stieglitz T.:
  Editorial: Wearable and Implantable Technologies in the Rehabilitation of Patients With Sensory Impairments
  In: Frontiers in Neuroscience 15 (2021)
  ISSN: 1662-4548
  DOI: 10.3389/fnins.2021.740263
• Richer R., Küderle A., Dörr J., Rohleder N., Eskofier B.:
  Assessing the Influence of the Inner Clock on the Cortisol Awakening Response and Pre-Awakening Movement
  2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) (Athens, July 28, 2021 - July 30, 2021)
  In: IEEE (ed.): 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) 2021
  DOI: 10.1109/BHI50953.2021.9508529
  URL: https://www.mad.tf.fau.de/files/2021/08/richer21_car_inner_clock.pdf
• Richer R., Küderle A., Ullrich M., Rohleder N., Eskofier B.:
  BioPsyKit: A Python package for the analysis of biopsychological data
  In: Journal of Open Source Software 6 (2021), p. 3702
  ISSN: 2475-9066
  DOI: 10.21105/joss.03702
  URL: https://www.theoj.org/joss-papers/joss.03702/10.21105.joss.03702.pdf
• Roth N., Küderle A., Prossel D., Gaßner H., Eskofier B., Kluge F.:
  An inertial sensor-based gait analysis pipeline for the assessment of real-world stair ambulation parameters
  In: Sensors 21 (2021), Article No.: 6559
  ISSN: 1424-8220
  DOI: 10.3390/s21196559
• Roth N., Küderle A., Ullrich M., Gladow T., Marxreiter F., Klucken J., Eskofier B., Kluge F.:
  Hidden Markov Model based stride segmentation on unsupervised free-living gait data in Parkinson’s disease patients
  In: Journal of neuroEngineering and rehabilitation 18 (2021), Article No.: 93
  ISSN: 1743-0003
  DOI: 10.1186/s12984-021-00883-7
• Roth N., Wieland GP., Küderle A., Ullrich M., Gladow T., Marxreiter F., Klucken J., Eskofier B., Kluge F.:
  Do We Walk Differently at Home? A Context-Aware Gait Analysis System in Continuous Real-World Environments
  2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (, November 1, 2021 - November 5, 2021)
  DOI: 10.1109/EMBC46164.2021.9630378
• Schleicher R., Nitschke M., Martschinke J., Stamminger M., Eskofier B., Klucken J., Koelewijn A.:
  BASH: Biomechanical Animated Skinned Human for Visualization of Kinematics and Muscle Activity
  16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (Online, February 8, 2021 - February 10, 2021)
  In: Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP 2021
  DOI: 10.5220/0010210600250036
  URL: https://www.scitepress.org/PublicationsDetail.aspx?ID=qmYWslU7yL0=&t=1
• Scholl C., Tobola A., Ludwig K., Zanca D., Eskofier B.:
  A smart capacitive sensor skin with embedded data quality indication for enhanced safety in human–robot interaction
  In: Sensors 21 (2021), Article No.: 7210
  ISSN: 1424-8220
  DOI: 10.3390/s21217210
• Schwinn L., Nguyen A., Raab R., Bungert L., Tenbrinck D., Zanca D., Burger M., Eskofier B.:
  Identifying untrustworthy predictions in neural networks by geometric gradient analysis
  Conference on Uncertainty in Artificial Intelligence (UAI) (Online, July 27, 2021 - July 30, 2021)
  URL: https://arxiv.org/abs/2102.12196
• Schwinn L., Nguyen A., Raab R., Zanca D., Eskofier B., Tenbrinck D., Burger M.:
  Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks
  International Joint Conference on Neural Networks (IJCNN) (Online, July 18, 2021 - July 22, 2021)
  DOI: 10.1109/ijcnn52387.2021.9534190
• Schwinn L., Raab R., Nguyen A., Zanca D., Eskofier B.:
  Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks
  URL: https://arxiv.org/abs/2105.10304
• Stöve M., Schuldhaus D., Gamp A., Zwick C., Eskofier B.:
  From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning
  In: Sensors 21 (2021), p. 3071
  ISSN: 1424-8220
  DOI: 10.3390/s21093071
• Timotius I., Bieler L., Couillard-Despres S., Sandner B., Garcia-Ovejero D., Labombarda F., Estrada V., Müller HW., Winkler J., Klucken J., Eskofier B., Weidner N., Puttagunta R.:
  Combination of defined catwalk gait parameters for predictive locomotion recovery in experimental spinal cord injury rat models
  In: eNeuro 8 (2021), p. 1-14
  ISSN: 2373-2822
  DOI: 10.1523/ENEURO.0497-20.2021
• Ullrich M., Küderle A., Reggi L., Cereatti A., Eskofier B., Kluge F.:
  Machine learning-based distinction of left and right foot contacts in lower back inertial sensor gait data
  2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (, November 1, 2021 - November 5, 2021)
  DOI: 10.1109/EMBC46164.2021.9630653
• Ullrich M., Mücke A., Küderle A., Roth N., Gladow T., Gaßner H., Marxreiter F., Klucken J., Eskofier B., Kluge F.:
  Detection of unsupervised standardized gait tests from real-world inertial sensor data in Parkinson’s disease
  In: IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021), p. 2103-2111
  ISSN: 1534-4320
  DOI: 10.1109/TNSRE.2021.3119390
  URL: https://ieeexplore.ieee.org/abstract/document/9567680
• Wehbi M., Hamann T., Barth J., Kaempf P., Zanca D., Eskofier B.:
  Towards an IMU-based Pen Online Handwriting Recognizer
  International Conference on Document Analysis and Recognition ICDAR 2021 (Lausanne, September 5, 2021 - September 10, 2021)
  DOI: 10.1007/978-3-030-86334-0_19
• Wirth M., Gradl S., Prosinger G., Kluge F., Roth D., Eskofier B.:
  The impact of avatar appearance, perspective and context on gait variability and user experience in virtual reality
  28th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2021 (Virtual, Lisboa, PRT, March 27, 2021 - April 3, 2021)
  In: Proceedings - 2021 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2021 2021
  DOI: 10.1109/VR50410.2021.00055
• Wirth M., Kohl S., Gradl S., Farlock R., Roth D., Eskofier B.:
  Assessing visual exploratory activity of athletes in virtual reality using head motion characteristics
  In: Sensors 21 (2021), Article No.: 3728
  ISSN: 1424-8220
  DOI: 10.3390/s21113728
• Zrenner M., Heyde C., Duemler B., Dykman S., Roecker K., Eskofier B.:
  Retrospective Analysis of Training and Its Response in Marathon Finishers Based on Fitness App Data
  In: Frontiers in Physiology 12 (2021), Article No.: 669884
  ISSN: 1664-042X
  DOI: 10.3389/fphys.2021.669884
• da Silva DB., Schmidt D., da Costa CA., da Rosa Righi R., Eskofier B.:
  DeepSigns: A predictive model based on Deep Learning for the early detection of patient health deterioration
  In: Expert Systems With Applications 165 (2021), Article No.: 113905
  ISSN: 0957-4174
  DOI: 10.1016/j.eswa.2020.113905

2020

• Auferoth F., Eskofier B., Gerber L., Grimm V., Richer R., Rohleder N.:
  Tracking and Teamwork Performance
  (2020)
  (Working Paper)
• Bazo R., Reis E., Adams Seewald L., Facco Rodrigues V., Andre da Costa C., Gonzaga L., Stoffel Antunes R., da Rosa Righi R., Maier A., Eskofier B., Fahrig R., Horz T.:
  Baptizo: a sensor fusion based model for tracking the identity of human poses
  In: Information Fusion (2020)
  ISSN: 1566-2535
  DOI: 10.1016/j.inffus.2020.03.011
• Ceron JD., Kluge F., Küderle A., Eskofier B., López DM.:
  Simultaneous indoor pedestrian localization and house mapping based on inertial measurement unit and bluetooth low-energy beacon data
  In: Sensors 20 (2020), p. 1-21
  ISSN: 1424-8220
  DOI: 10.3390/s20174742
• Ceron JD., Martindale C., López DM., Kluge F., Eskofier B.:
  Indoor Trajectory Reconstruction of Walking, Jogging, and Running Activities Based on a Foot-Mounted Inertial Pedestrian Dead-Reckoning System
  In: Sensors 20 (2020), p. 651
  ISSN: 1424-8220
  DOI: 10.3390/s20030651
• Dorschky E., Nitschke M., Martindale C., van den Bogert AJ., Koelewijn A., Eskofier B.:
  CNN-Based Estimation of Sagittal Plane Walking and Running Biomechanics From Measured and Simulated Inertial Sensor Data
  In: Frontiers in Bioengineering and Biotechnology 8 (2020), p. 1-14
  ISSN: 2296-4185
  DOI: 10.3389/fbioe.2020.00604
• Dumbach P., Aly A., Zrenner M., Eskofier B.:
  Exploration of Process Mining Opportunities In Educational Software Engineering - The GitLab Analyser
  13th International Conference on Educational Data Mining (Ifrane, Morocco (Fully Virtual Conference), July 10, 2020 - July 13, 2020)
  In: Anna N. Rafferty, Jacob Whitehill, Cristobal Romero, Violetta Cavalli-Sforza (ed.): Proceedings of the 13th International Conference on Educational Data Mining 2020
  Open Access: https://educationaldatamining.org/files/conferences/EDM2020/papers/paper_239.pdf
  URL: https://educationaldatamining.org/files/conferences/EDM2020/EDM2020Proceedings.pdf
• Fischer S., Ullrich M., Küderle A., Gaßner H., Klucken J., Eskofier B., Kluge F.:
  Automatic clinical gait test detection from inertial sensor data
  2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (Montreal, July 20, 2020 - July 24, 2020)
  DOI: 10.1109/EMBC44109.2020.9176440
• Flachenecker F., Gaßner H., Hannik J., Lee DH., Flachenecker P., Winkler J., Eskofier B., Linker RA., Klucken J.:
  Objective sensor-based gait measures reflect motor impairment in multiple sclerosis patients: Reliability and clinical validation of a wearable sensor device
  In: Multiple Sclerosis and Related Disorders 39 (2020), Article No.: 101903
  ISSN: 2211-0348
  DOI: 10.1016/j.msard.2019.101903
• Gaßner H., Jensen D., Marxreiter F., Kletsch A., Bohlen S., Schubert R., Muratori LM., Eskofier B., Klucken J., Winkler J., Reilmann R., Kohl Z.:
  Correction to: Gait variability as digital biomarker of disease severity in Huntington’s disease (Journal of Neurology, (2020), 10.1007/s00415-020-09725-3)
  In: Journal of Neurology (2020)
  ISSN: 0340-5354
  DOI: 10.1007/s00415-020-09789-1
• Gaßner H., Jensen D., Marxreiter F., Kletsch A., Bohlen S., Schubert R., Muratori LM., Eskofier B., Klucken J., Winkler J., Reilmann R., Kohl Z.:
  Gait variability as digital biomarker of disease severity in Huntington’s disease
  In: Journal of Neurology 267 (2020), p. 1594-1601
  ISSN: 0340-5354
  DOI: 10.1007/s00415-020-09725-3
• Gaßner H., Sanders P., Dietrich A., Marxreiter F., Eskofier B., Winkler J., Klucken J.:
  Clinical Relevance of Standardized Mobile Gait Tests. Reliability Analysis Between Gait Recordings at Hospital and Home in Parkinson's Disease: A Pilot Study
  In: Journal of Parkinson's Disease 10 (2020), p. 1763-1773
  ISSN: 1877-7171
  DOI: 10.3233/JPD-202129
• Ibrahim A., Küderle A., Gaßner H., Klucken J., Eskofier B., Kluge F.:
  Inertial sensor-based gait parameters reflect patient-reported fatigue in multiple sclerosis
  In: Journal of neuroEngineering and rehabilitation 17 (2020), Article No.: 165
  ISSN: 1743-0003
  DOI: 10.1186/s12984-020-00798-9
• Ivanović MD., Hannink J., Ring M., Baronio F., Vukčević V., Hadžievski L., Eskofier B.:
  Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design
  In: Artificial Intelligence in Medicine 110 (2020), Article No.: 101963
  ISSN: 0933-3657
  DOI: 10.1016/j.artmed.2020.101963
• Kaieski N., da Costa CA., da Rosa Righi R., Lora PS., Eskofier B.:
  Application of artificial intelligence methods in vital signs analysis of hospitalized patients: A systematic literature review
  In: Applied Soft Computing 96 (2020), Article No.: 106612
  ISSN: 1568-4946
  DOI: 10.1016/j.asoc.2020.106612
• Koch R., Pfeiffer N., Lang N., Struck M., Amft O., Eskofier B., Wittenberg T.:
  Evaluation of HRV estimation algorithms from PPG data using neural networks
  In: Current Directions in Biomedical Engineering 6 (2020), Article No.: 20203130
  ISSN: 2364-5504
  DOI: 10.1515/cdbme-2020-3130
  URL: https://www.degruyter.com/document/doi/10.1515/cdbme-2020-3130/html
• Köferl F., Link J., Eskofier B.:
  Application of SORT on Multi-Object Tracking and Segmentation
  Conference on Computer Vision and Pattern Recognition; 5th BMTT MOTChallenge Workshop: Multi-Object Tracking and Segmentation (Seattle, WA, USA (Virtual), June 19, 2020 - June 19, 2020)
  URL: https://motchallenge.net/workshops/bmtt2020/papers/Application_and_Adaptations_of_SORT_on_MOTS20.pdf
  (Working Paper)
• Maier J., Nitschke M., Choi JH., Gold G., Fahrig R., Eskofier B., Maier A.:
  Inertial Measurements for Motion Compensation in Weight-Bearing Cone-Beam CT of the Knee
  In: Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (ed.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 2020, p. 14-23
  ISBN: 9783030597153
  DOI: 10.1007/978-3-030-59716-0_2
• Marxreiter F., Buttler U., Gaßner H., Gandor F., Gladow T., Eskofier B., Winkler J., Ebersbach G., Klucken J.:
  The Use of Digital Technology and Media in German Parkinson's Disease Patients
  In: Journal of Parkinson's Disease 10 (2020), p. 717-727
  ISSN: 1877-7171
  DOI: 10.3233/JPD-191698
• Mehringer W., Wirth M., Gradl S., Durner L., Ring M., Laudanski AF., Eskofier B., Michelson G.:
  An Image-Based Method for Measuring Strabismus in Virtual Reality
  2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) (Recife, November 9, 2020 - November 13, 2020)
  In: IEEE (ed.): 2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) 2020
  DOI: 10.1109/ISMAR-Adjunct51615.2020.00018
• Nguyen A., Chatterjee S., Weinzierl S., Schwinn L., Matzner M., Eskofier B.:
  Time matters: Time-aware LSTMs for predictive business process monitoring
  International Conference on Process Mining (Padua, October 4, 2020 - October 9, 2020)
  In: Proceedings of the ICPM 2020 International Workshops 2020
  DOI: 10.1007/978-3-030-72693-5_9
• Nitschke M., Dorschky E., Heinrich D., Schlarb H., Eskofier B., Koelewijn A., van den Bogert AJ.:
  Efficient trajectory optimization for curved running using a 3D musculoskeletal model with implicit dynamics
  In: Scientific Reports (2020), Article No.: 17655
  ISSN: 2045-2322
  DOI: 10.1038/s41598-020-73856-w
  URL: https://www.nature.com/articles/s41598-020-73856-w
• Orozco-Arroyave JR., Vasquez Correa J., Klumpp P., Pérez Toro PA., Escobar-Grisales D., Roth N., Ríos-Urrego CD., Strauß M., Carvajal-Castaño HA., Bayerl S., Castrillón-Osorio LR., Arias-Vergara T., Küderle A., López-Pabón FO., Parra-Gallego LF., Eskofier B., Gómez-Gómez LF., Schuster M., Nöth E.:
  Apkinson: the smartphone application for telemonitoring Parkinson's patients through speech, gait and hands movement
  In: Neurodegenerative Disease Management (2020)
  ISSN: 1758-2024
  DOI: 10.2217/nmt-2019-0037
• Ott F., Wehbi M., Hamann T., Barth J., Eskofier B., Mutschler C.:
  The OnHW Dataset: Online Handwriting Recognition from IMU-Enhanced Ballpoint Pens with Machine Learning
  In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4 (2020), p. 1-20
  ISSN: 2474-9567
  DOI: 10.1145/3411842
• Raccagni C., Sidoroff V., Goebel G., Granata R., Leys F., Klucken J., Eskofier B., Richer R., Seppi K., Wenning GK., Fanciulli A.:
  The footprint of orthostatic hypotension in parkinsonian syndromes
  In: Parkinsonism & Related Disorders (2020)
  ISSN: 1353-8020
  DOI: 10.1016/j.parkreldis.2020.06.029
• Richer R., Zhao N., Eskofier B., Paradiso JA.:
  Exploring Smart Agents for the Interaction with Multimodal Mediated Environments
  In: Multimodal Technologies and Interaction 4 (2020), Article No.: 27
  ISSN: 2414-4088
  DOI: 10.3390/mti4020027
  URL: https://www.mdpi.com/2414-4088/4/2/27
• Rico-Olarte C., López DM., Becker L., Eskofier B.:
  Towards Classifying Cognitive Performance by Sensing Electrodermal Activity in Children With Specific Learning Disorders
  In: IEEE Access 8 (2020), p. 196187-196196
  ISSN: 2169-3536
  DOI: 10.1109/ACCESS.2020.3033769
  URL: https://ieeexplore.ieee.org/document/9239296
• Rüthlein M., Köferl F., Mehringer W., Eskofier B.:
  Interactive Segmentation of RGB-D Indoor Scenes using Deep Learning
  International Conference on Machine Learning; 2nd ICML 2020 Workshop on Human in the Loop Learning (Virtual Conference, July 18, 2020 - July 18, 2020)
  (Conference report)
• Sidoroff V., Raccagni C., Kaindlstorfer C., Eschlboeck S., Fanciulli A., Granata R., Eskofier B., Seppi K., Poewe W., Willeit J., Kiechl S., Mahlknecht P., Stockner H., Marini K., Schorr O., Rungger G., Klucken J., Wenning G., Gaßner H.:
  Characterization of gait variability in multiple system atrophy and Parkinson's disease
  In: Journal of Neurology (2020)
  ISSN: 0340-5354
  DOI: 10.1007/s00415-020-10355-y
• Sternemann U., Suchantke I., Schmidt KG., Höfner P., Wagner D., Ollenschläger M., Heckel M., Ostgathe C., Eskofier B., Steigleder T.:
  Entwicklung einer Applikation zum Home-Monitoring des Gesundheitszustandes von Palliativpatienten - eine Proof-of-Concept-Studie
  13. DGP Kongress Deutsche Gesellschaft für Palliativmedizin (Wiesbaden, September 9, 2020 - September 12, 2020)
  In: Zeitschrift für Palliativmedizin 2020; 21(05) 2020
  DOI: 10.1055/s-0040-1714998
  URL: https://www.thieme-connect.com/products/ejournals/abstract/10.1055/s-0040-1714998#info
• Tietsch M., Muaremi A., Clay I., Kluge F., Hoefling H., Ullrich M., Küderle A., Eskofier B., Müller A.:
  Robust Step Detection from Different Waist-Worn Sensor Positions: Implications for Clinical Studies
  In: Digital Biomarkers 4 (2020), p. 50-58
  ISSN: 2504-110X
  DOI: 10.1159/000511611
• Ullrich M., Küderle A., Hannink J., Del Din S., Gaßner H., Marxreiter F., Klucken J., Eskofier B., Kluge F.:
  Detection of Gait From Continuous Inertial Sensor Data Using Harmonic Frequencies
  In: IEEE Journal of Biomedical and Health Informatics 24 (2020), p. 1869 - 1878
  ISSN: 2168-2194
  DOI: 10.1109/JBHI.2020.2975361
  URL: https://www.mad.tf.fau.de/files/2020/11/2020_ullrich_gaitsequencedetection.pdf
• Wanner P., Hamacher D., Schmautz T., Eskofier B., Pfeifer K., Steib S.:
  Dynamische Laufstabilität des Fußes bei Sportlern mit und ohne chronischer Sprunggelenksinstabilität nach Sprunggelenksdistorsion unter Berücksichtigung des Lauftempos und neuromuskulärer Ermüdung
  3. Gamma-Kongress "Bewegungsanalyse: Klinik – Alltag – Sport" (München, March 6, 2020 - March 7, 2020)
  In: Tagungsband 3. Gamma-Kongress 2020
• Wehbi M., Hamann T., Barth J., Eskofier B.:
  Digitizing Handwriting with a Sensor Pen: A Writer-Independent Recognizer
  17th International Conference on Frontiers in Handwriting Recognition (ICFHR) (Dortmund, September 8, 2020 - September 10, 2020)
  DOI: 10.1109/ICFHR2020.2020.00061
• Wirth M., Gradl S., Mehringer W., Kulpa R., Rupprecht H., Poimann D., Laudanski AF., Eskofier B.:
  Assessing Personality Traits of Team Athletes in Virtual Reality
  2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020 (Atlanta, GA, March 22, 2020 - March 26, 2020)
  In: Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020 2020
  DOI: 10.1109/VRW50115.2020.00024
• Zrenner M., Küderle A., Roth N., Jensen U., Dümler B., Eskofier B.:
  Does the Position of Foot-Mounted IMU Sensors Influence the Accuracy of Spatio-Temporal Parameters in Endurance Running?
  In: Sensors 20 (2020), Article No.: 5705
  ISSN: 1424-8220
  DOI: 10.3390/s20195705

2019

• Abel L., Richer R., Küderle A., Gradl S., Eskofier B., Rohleder N.:
  Classification of Acute Stress-Induced Response Patterns
  EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth '19) (Trento, May 20, 2019 - May 23, 2019)
  DOI: 10.1145/3329189.3329231
  URL: https://www.mad.tf.fau.de/files/2019/05/2019-Abel-PervasiveHealth-StressResponsePatterns.pdf
• Adams Seewald L., Facco Rodrigues V., Ollenschläger M., Stoffel Antunes R., Andre da Costa C., da Rosa Righi R., da Silveira Junior LG., Maier A., Eskofier B., Fahrig R.:
  Toward analyzing mutual interference on infrared-enabled depth cameras
  In: Computer Vision and Image Understanding (2019)
  ISSN: 1077-3142
  DOI: 10.1016/j.cviu.2018.09.010
• Aholt K., Martindale C., Küderle A., Gaßner H., Gladow T., Rojo J., Villanueva-Mascato S., Klucken J., Arredondo Waldmeyer MT., Eskofier B.:
  A Mobile Solution for Rhythmic Auditory Stimulation Gait Training
  2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Berlin, July 23, 2019 - July 27, 2019)
  In: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2019
  DOI: 10.1109/EMBC.2019.8857143
• Dorschky E., Krüger D., Kurfess N., Schlarb H., Wartzack S., Eskofier B., van den Bogert AJ.:
  Optimal control simulation predicts effects of midsole materials on energy cost of running
  In: Computer Methods in Biomechanics and Biomedical Engineering (2019)
  ISSN: 1025-5842
  DOI: 10.1080/10255842.2019.1601179
  URL: https://www.mad.tf.fau.de/files/2019/08/201904_CMBBE_Dorschky.pdf
• Dorschky E., Nitschke M., Seifer AK., van den Bogert AJ., Eskofier B.:
  Estimation of Gait Kinematics and Kinetics from Inertial Sensor Data Using Optimal Control of Musculoskeletal Models
  In: Journal of Biomechanics (2019)
  ISSN: 0021-9290
  DOI: 10.1016/j.jbiomech.2019.07.022
  URL: https://www.mad.tf.fau.de/files/2019/08/201908_JBiomech_Dorschky.pdf
• Facco Rodrigues V., da Rosa Righi R., Andre da Costa C., Eskofier B., Maier A.:
  On Providing Multi-Level Quality of Service for Operating Rooms of the Future.
  In: Sensors 19 (2019)
  ISSN: 1424-8220
  DOI: 10.3390/s19102303
• Feigl T., Roth D., Gradl S., Wirth M., Latoschik ME., Eskofier B., Philippsen M., Mutschler C.:
  Sick Moves! Motion Parameters as Indicators of Simulator Sickness
  In: IEEE Transactions on Visualization and Computer Graphics 25 (2019), p. 3146-3157
  ISSN: 1077-2626
  DOI: 10.1109/TVCG.2019.2932224
  URL: https://ieeexplore.ieee.org/document/8798880
• Gaßner H., Raccagni C., Eskofier B., Klucken J., Wenning GK.:
  The Diagnostic Scope of Sensor-Based Gait Analysis in Atypical Parkinsonism: Further Observations
  In: Frontiers in Neurology 10 (2019)
  ISSN: 1664-2295
  DOI: 10.3389/fneur.2019.00005
• Gaßner H., Steib S., Klamroth S., Pasluosta CF., Adler W., Eskofier B., Pfeifer K., Winkler J., Klucken J.:
  Perturbation Treadmill Training Improves Clinical Characteristics of Gait and Balance in Parkinson's Disease
  In: Journal of Parkinson's Disease 9 (2019), p. 413-426
  ISSN: 1877-7171
  DOI: 10.3233/JPD-181534
• Gladow T., Gaßner H., Ullrich M., Hannink J., Roth N., Marxreiter F., Küderle A., Kohl Z., Winkler J., Eskofier B., Klucken J.:
  Sensor-based gait analysis distinguishes fallers from non-fallers in Parkinson's disease under clinical and real-life conditions
• Gradl S., Wirth M., Richer R., Rohleder N., Eskofier B.:
  An Overview of the Feasibility of Permanent, Real-Time, Unobtrusive Stress Measurement with Current Wearables
  EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth '19) (Trento, May 20, 2019 - May 23, 2019)
  DOI: 10.1145/3329189.3329233
  URL: https://www.mad.tf.fau.de/files/2019/05/Gradl-Wirth-2019-PervasiveHealth-StressMeasurementOverview.pdf
• Groh B., Eskofier B., Schottenhamml J., Drory A.:
  Unobtrusive Estimation of In-Stroke Boat Rotation in Rowing Using Wearable Sensors
  12th International Symposium on Computer Science in Sport (IACSS) (Moscow, Russia, July 8, 2019 - July 10, 2019)
  In: Springer (ed.): Proceedings of the 12th International Symposium on Computer Science in Sport (IACSS 2019) 2019
  DOI: 10.1007/978-3-030-35048-2_14
• Haji Ghassemi N., Hannink J., Roth N., Gaßner H., Marxreiter F., Klucken J., Eskofier B.:
  Turning analysis during standardized test using on-shoe wearable sensors in parkinson’s disease
  In: Sensors 19 (2019), Article No.: 3103
  ISSN: 1424-8220
  DOI: 10.3390/s19143103
• Jahn K., Freiberger E., Eskofier B., Bollheimer C., Klucken J.:
  Balance and mobility in geriatric patients
  In: Zeitschrift für Gerontologie und Geriatrie 52 (2019), p. 316-323
  ISSN: 0948-6704
  DOI: 10.1007/s00391-019-01561-z
• Kara DD., Ring M., Mehringer W., Eskofier B., Hennig F., Michelson G.:
  Detection of Mild Traumatic Brain Injury by a Virtual Reality System
  Annual Meeting of the Association-for-Research-in-Vision-and-Ophthalmology (ARVO) (Vancouver, CANADA, April 28, 2019 - May 2, 2019)
  In: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, ROCKVILLE: 2019
• Klamroth S., Gaßner H., Winkler J., Eskofier B., Klucken J., Pfeifer K., Steib S.:
  Interindividual Balance Adaptations in Response to Perturbation Treadmill Training in Persons With Parkinson Disease
  In: Journal of Neurologic Physical Therapy 43 (2019), p. 224-232
  ISSN: 1557-0576
  DOI: 10.1097/NPT.0000000000000291
• Klein J., Zrenner M., Dümler B., Eskofier B.:
  Development of Algorithms for Computing Knee Stability Parameters Using a Sensor Equipped Knee Sleeve
  ORTHO – Kongress der Master, Orthopädie 4.0 (Weiden, June 26, 2019 - June 26, 2019)
• Klucken J., Gladow T., Hilgert JG., Stamminger M., Weigand C., Eskofier B.:
  „Wearables“ in der Behandlung neurologischer Erkrankungen – wo stehen wir heute?
  In: Der Nervenarzt 90 (2019), p. 787-795
  ISSN: 0028-2804
  DOI: 10.1007/s00115-019-0753-z
• Kurz J., Tharmalingam V., Pryakhina N., Hunger A., Ollenschläger M., Eskofier B.:
  A wearable obstacle detection system for visually impaired people
  41st International Engineering in Medicine and Biology Conference (Berlin, July 23, 2019 - July 27, 2019)
  In: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2019
• Maier J., Black M., Hall M., Choi JH., Levenston M., Gold G., Fahrig R., Eskofier B., Maier A.:
  Smooth Ride: Low-Pass Filtering of Manual Segmentations Improves Consensus
  Bildverarbeitung für die Medizin 2019 (Lübeck, March 17, 2019 - March 19, 2019)
  In: Bildverarbeitung für die Medizin 2019 2019
  DOI: 10.1007/978-3-658-25326-4_21
  URL: https://link.springer.com/chapter/10.1007/978-3-658-25326-4_21
• Martindale C., Roth N., Gaßner H., List J., Regensburger M., Eskofier B., Kohl Z.:
  Technical Validation of an Automated Mobile Gait Analysis System for Hereditary Spastic Paraplegia Patients
  In: IEEE Journal of Biomedical and Health Informatics (2019)
  ISSN: 2168-2194
  DOI: 10.1109/JBHI.2019.2937574
• Martindale C., Sprager S., Eskofier B.:
  Hidden Markov Model-Based Smart Annotation for Benchmark Cyclic Activity Recognition Database Using Wearables
  In: Sensors 198 (2019), Article No.: 1820
  ISSN: 1424-8220
  DOI: 10.3390/s19081820
  URL: https://www.mdpi.com/1424-8220/19/8/1820
• Marxreiter F., Gaßner H., Borozdina O., Barth J., Kohl Z., Schlachetzki J., Thun-Hohenstein C., Volc D., Eskofier B., Winkler J., Klucken J.:
  Sensor-based gait analysis of individualized improvement during apomorphine titration in Parkinson's disease
  DOI: 10.1007/s00415-018-9012-7
• Michelson G., Kutzner B., Mehringer W., Paulus J., Ring M., Eskofier B.:
  Dichoptic Binocular Vision Training Improved Stereo Vision in Top Athletes
  Annual Meeting of the Association-for-Research-in-Vision-and-Ophthalmology (ARVO) (Vancouver, April 28, 2019 - May 2, 2019)
  In: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, ROCKVILLE: 2019
• Minakaki G., Canneva F., Chevessier F., Bode F., Menges S., Timotius I., Kalinichenko L., Meixner H., Müller CP., Eskofier B., Casadei N., Riess O., Schröder R., Winkler J., Xiang W., von Hörsten S., Klucken J.:
  Treadmill exercise intervention improves gait and postural control in alpha-synuclein mouse models without inducing cerebral autophagy
  In: Behavioural Brain Research 363 (2019), p. 199-215
  ISSN: 0166-4328
  DOI: 10.1016/j.bbr.2018.11.035
  URL: https://www.sciencedirect.com/science/article/pii/S016643281830754X
• Nguyen A., Roth N., Haji Ghassemi N., Hannink J., Seel T., Klucken J., Gaßner H., Eskofier B.:
  Correction to: Development and clinical validation of inertial sensor-based gait-clustering methods in Parkinson's disease (J Neuroeng Rehabil (2019) 16:77 DOI: 10.1186/s12984-019-0548-2)
  In: Journal of neuroEngineering and rehabilitation 16 (2019), Article No.: 98
  ISSN: 1743-0003
  DOI: 10.1186/s12984-019-0567-z
• Nguyen A., Roth N., Haji Ghassemi N., Hannink J., Seel T., Klucken J., Gaßner H., Eskofier B.:
  Development and clinical validation of inertial sensor-based gait-clustering methods in Parkinson's disease
  In: Journal of neuroEngineering and rehabilitation 16 (2019)
  ISSN: 1743-0003
  DOI: 10.1186/s12984-019-0548-2
• Nitschke M., Dorschky E., Schlarb H., Eskofier B., van den Bogert AJ., Koelewijn A.:
  Turning a corner in predictive musculoskeletal simulations of gait using implicit dynamics
  Dynamic Walking 2019 (Canmore, Alberta, June 3, 2019 - June 6, 2019)
  In: 14th Annual Dynamic Walking Conference 2019 2019
  URL: https://www.mad.tf.fau.de/files/2019/05/Nitschke_Dynamic_Walking.pdf
• Schink K., Gaßner H., Reljic D., Herrmann HJ., Kemmler W., Schwappacher R., Meyer J., Eskofier B., Winkler J., Neurath M., Klucken J., Zopf Y.:
  Assessment of gait parameters and physical function in patients with advanced cancer participating in a 12-week exercise and nutrition programme: A controlled clinical trial
  In: European Journal of Cancer Care (2019), Article No.: e13199
  ISSN: 0961-5423
  DOI: 10.1111/ecc.13199
• Schwertner MA., Rigo SJ., Araujo DA., Silva AB., Eskofier B.:
  Fostering natural language question answering over knowledge bases in oncology EHR
  32nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2019 (Cordoba, June 5, 2019 - June 7, 2019)
  In: Proceedings - IEEE Symposium on Computer-Based Medical Systems 2019
  DOI: 10.1109/CBMS.2019.00102
• Steib S., Klamroth S., Gaßner H., Pasluosta CF., Eskofier B., Winkler J., Klucken J., Pfeifer K.:
  Effects of perturbed treadmill training on Parkinsonian gait: time-course, sustainability, and transfer effects
  Sportmotorik 2019. Adaptation, Lernen und virtuelle Welten (Bern, CH, January 16, 2019 - January 18, 2019)
  In: Sportmotorik 2019. Adaptation, Lernen und virtuelle Welten. Abstractband zur 16. Jahrestagung der dvs-Sektion Sportmotorik vom 16.-18. Januar 2019 in Bern 2019
  DOI: 10.7892/boris.123517
  URL: https://boris.unibe.ch/123517/
• Steib S., Klamroth S., Gaßner H., Pasluosta CF., Eskofier B., Winkler J., Klucken J., Pfeifer K.:
  Exploring gait adaptations to perturbed and conventional treadmill training in Parkinson’s disease: Time-course, sustainability, and transfer
  In: Human Movement Science (2019)
  ISSN: 0167-9457
  DOI: 10.1016/j.humov.2019.01.007
• Thies M., Maier J., Eskofier B., Maier A., Levenston M., Gold G., Fahrig R.:
  Automatic orientation estimation of inertial sensors in C-Arm CT Projections
  In: Current Directions in Biomedical Engineering 5 (2019), p. 195-198
  ISSN: 2364-5504
  DOI: 10.1515/cdbme-2019-0050
• Timotius I., Canneva F., Minakaki G., Moceri S., Plank AC., Casadei N., Riess O., Winkler J., Klucken J., Eskofier B., von Hörsten S.:
  Systematic data analysis and data mining in CatWalk gait analysis by heat mapping exemplified in rodent models for neurodegenerative diseases
  In: Journal of Neuroscience Methods 326 (2019), Article No.: 108367
  ISSN: 0165-0270
  DOI: 10.1016/j.jneumeth.2019.108367
  URL: https://www.sciencedirect.com/science/article/pii/S0165027019302249
• Timotius I., Moceri S., Plank AC., Habermeyer J., Canneva F., Winkler J., Klucken J., Casadei N., Riess O., Eskofier B., von Hörsten S.:
  Silhouette-Length-Scaled Gait Parameters for Motor Functional Analysis in Mice and Rats
  In: eNeuro 6 (2019), Article No.: ENEURO.0100-19.2019
  ISSN: 2373-2822
  DOI: 10.1523/ENEURO.0100-19.2019
  URL: https://www.eneuro.org/content/6/6/ENEURO.0100-19.2019
• Ullrich M., Hannink J., Gaßner H., Klucken J., Eskofier B., Kluge F.:
  Unsupervised harmonic frequency-based gait sequence detection for Parkinson’s disease
  IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) (Chicago, May 19, 2019 - May 22, 2019)
  DOI: 10.1109/BHI.2019.8834660
• Vásquez-Correa JC., Klumpp P., Arias-Vergara T., Strauss M., Küderle A., Roth N., Bayerl S., García-Ospina N., Pérez Toro PA., Parra-Gallego LF., Rios-Urrego CD., Escobar-Grisales D., Orozco-Arroyave JR., Eskofier B., Nöth E.:
  Apkinson: A mobile solution for multimodal assessment of patients with Parkinson's disease
  20th Annual Conference of the International Speech Communication Association: Crossroads of Speech and Language, INTERSPEECH 2019 (Graz, September 15, 2019 - September 19, 2019)
  In: Gernot Kubin, Thomas Hain, Bjorn Schuller, Dina El Zarka, Petra Hodl (ed.): Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2019
  DOI: 10.21437/Interspeech.2019-8003
  URL: https://www.isca-speech.org/archive/Interspeech_2019/abstracts/8003.html
• Wanner P., Hamacher D., Schmautz T., Eskofier B., Pfeifer K., Steib S.:
  Einfluss von Lauftempo und neuromuskulärer Ermüdung auf die dynamische Laufstabilität des Fußes bei Sportlern mit chronischer Sprunggelenkinstabilität
  24. Sportwissenschaftlicher Hochschultag der dvs (Berlin, September 18, 2019 - September 20, 2019)
  In: Arampatzis, A., Braun, S., Schmitt, K., Wolfarth, B (ed.): Sport im öffentlichen Raum - Abstractband des 24. dvs-Hochschultags, Hamburg: 2019
• Wanner P., Schmautz T., Kluge F., Eskofier B., Pfeifer K., Steib S.:
  Ankle angle variability during running in athletes with chronic ankle instability and copers
  In: Gait & Posture 68 (2019), p. 329–334
  ISSN: 0966-6362
  DOI: 10.1016/j.gaitpost.2018.11.038
  URL: https://www.sciencedirect.com/science/article/pii/S096663621830345X
• Wanner P., Schmautz T., Kluge F., Eskofier B., Pfeifer K., Steib S.:
  Athletes with chronic ankle instability demonstrate altered ankle angle variability during running compared to copers
  Sportmotorik 2019. Adaptation, Lernen und virtuelle Welten (Bern, January 16, 2019 - January 18, 2019)
  In: Klostermann, A., Vater, C., & Hossner, E.-J. (ed.): Abstractband zur 16. Jahrestagung der dvs-Sektion Sportmotorik 2019
  DOI: 10.7892/boris.123517
  URL: https://boris.unibe.ch/123517/
• Zrenner M., Feldner C., Jensen U., Richer R., Roth N., Eskofier B.:
  Evaluation of foot kinematics during endurance running on different surfaces in real-world environments
  DOI: 10.1007/978-3-030-35048-2_13

2018

• Amores J., Richer R., Zhao N., Maes P., Eskofier B.:
  Promoting Relaxation Using Virtual Reality, Olfactory Interfaces and Wearable EEG
  2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN) (Las Vegas, NV, March 4, 2018 - March 7, 2018)
  In: IEEE (ed.): 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN) 2018
  DOI: 10.1109/BSN.2018.8329668
  URL: https://www.mad.tf.fau.de/files/2018/04/2018-Amores-BSN-PRVR.pdf
• Blank P., Eskofier B.:
  Smart Racket – Echtzeitfeedbacksystem im Tischtennis
  19. Frühjahrsschule Technologien im Leistungssport (Leipzig, May 14, 2018 - May 15, 2019)
  In: Ina Fichtner, Institut für angewandte Trainingswissenschaft (ed.): Technologien im Leistungssport 3, Aachen: 2018
• Ceron JD., López DM., Eskofier B.:
  Human Activity Recognition Using Binary Sensors, BLE Beacons, an Intelligent Floor and Acceleration Data: A Machine Learning Approach
  In: Proceedings 2 (2018), p. 1265
  ISSN: 2504-3900
  DOI: 10.3390/proceedings2191265
• Cibis T., Preikschat S., Minh DN., Jones P., Eskofier B., Mcewan A.:
  Identification of electrical impedance tomography as simulation system emulating the electroreceptive system in aquatic animals
  1st International IEEE Life-Science Conference, LSC 2017 (Sydney, NSW, December 13, 2017 - December 15, 2017)
  In: 2017 IEEE Life Sciences Conference, LSC 2017 2018
  DOI: 10.1109/LSC.2017.8268171
• Da Costa CA., Pasluosta CF., Eskofier B., Da Silva DB., Righi RDR.:
  Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards
  In: Artificial Intelligence in Medicine 89 (2018), p. 61-69
  ISSN: 0933-3657
  DOI: 10.1016/j.artmed.2018.05.005
• Gradl S., Wirth M., Zillig T., Eskofier B.:
  Visualization of heart activity in virtual reality: A biofeedback application using wearable sensors
  15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018
  DOI: 10.1109/BSN.2018.8329681
• Groh B., Fritz J., Deininger M., Schwameder H., Eskofier B.:
  Unobtrusive and Wearable Landing Momentum Estimation in Ski Jumping with Inertial-Magnetic Sensors
  IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN) (Las Vegas, USA, March 4, 2018 - March 7, 2018)
  In: IEEE (ed.): Proceedings of the 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN) 2018
  DOI: 10.1109/bsn.2018.8329669
  URL: https://www.mad.tf.fau.de/files/2018/03/2018-Groh-BSN-UAW.pdf
• Haji Ghassemi N., Hannink J., Martindale C., Gaßner H., Müller M., Klucken J., Eskofier B.:
  Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson's Disease.
  In: Sensors 18 (2018)
  ISSN: 1424-8220
  DOI: 10.3390/s18010145
• Haji Ghassemi N., Hannink J., Martindale C., Gaßner H., Müller M., Klucken J., Eskofier B.:
  Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson’s Disease
  In: Sensors (2018)
  ISSN: 1424-8220
  DOI: 10.3390/s18010145
  URL: http://www.mdpi.com/1424-8220/18/1/145
• Hannink J., Kautz T., Pasluosta CF., Barth J., Schülein S., Gassmann K-., Klucken J., Eskofier B.:
  Mobile Stride Length Estimation with Deep Convolutional Neural Networks.
  In: IEEE Journal of Biomedical and Health Informatics 22 (2018), p. 354 - 362
  ISSN: 2168-2194
  DOI: 10.1109/JBHI.2017.2679486
  URL: https://www.mad.tf.fau.de/files/2017/06/Hannink-et-al.-2017-Mobile-Stride-Length-Estimation-with-Deep-Convolutional-Neural-Networks-1.pdf
• Ivanovic M., Ring M., Baronio F., Calza S., Vukcevic V., Hadzievski L., Maluckov A., Eskofier B.:
  ECG derived feature combination versus single feature in predicting defibrillation success in out-of-hospital cardiac arrested patients
  In: Biomedical Physics and Engineering Express 5 (2018), p. 015012
  ISSN: 2057-1976
  DOI: 10.1088/2057-1976/aaebec
• Klamroth S., Gaßner H., Winkler J., Eskofier B., Klucken J., Pfeifer K., Steib S.:
  Individuelle Therapieeffekte: Analyse interindividueller Unterschiede in der Anpassung der Gleichgewichtsfähigkeit nach Laufbandtherapie bei Parkinsonpatienten
  3. Symposium Physiotherapiewissenschaft (Lübeck, November 16, 2018 - November 17, 2018)
• Klamroth S., Gaßner H., Winkler J., Eskofier B., Klucken J., Pfeifer K., Steib S.:
  Laufbandtherapie in der Neurorehabilitation: Evidenz und Anwendungsspektrum
  In: Neurologie & Rehabilitation, 2018 (7. Gemeinsame Jahrestagung der Deutschen Gesellschaft für Neurorehabilitation e. V. (DGNR) und der Deutschen Gesellschaft für Neurotraumatologie und Klinische Neurorehabilitation e. V. (DGNKN))
• Klamroth S., Gaßner H., Winkler J., Eskofier B., Klucken J., Pfeifer K., Steib S.:
  Sensomotorisches Laufbandtraining in der Rehabilitation von Gangstörungen bei Patienten mit Morbus Parkinson
  In: Deutsche Rentenversicherung Bund (ed.): 27. Rehabilitationswissenschaftliches Kolloquium: Rehabilitation bewegt!, 2018, p. 356-357 (DRV-Schriften, Vol.113)
  ISBN: 978-3-9817814-8-9
• Kluge F., Hannink J., Pasluosta CF., Klucken J., Gaßner H., Gelse K., Eskofier B., Krinner S.:
  Pre-operative sensor-based gait parameters predict functional outcome after total knee arthroplasty
  In: Gait & Posture 66 (2018), p. 194-200
  ISSN: 0966-6362
  DOI: 10.1016/j.gaitpost.2018.08.026
  URL: https://www.mad.tf.fau.de/files/2020/12/kluge_2018_gp_proof.pdf
• Lee SI., Eskofier B.:
  Special issue on wearable computing and machine learning for applications in sports, health, and medical engineering
  In: Applied Sciences 8 (2018), Article No.: 167
  ISSN: 2076-3417
  DOI: 10.3390/app8020167
• Maier J., Aichert A., Mehringer W., Bier B., Eskofier B., Levenston M., Gold G., Fahrig R., Bonaretti S., Maier A.:
  Feasibility of Motion Compensation using Inertial Measurement in C-arm CT
  2018 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (Sydney, November 10, 2018 - November 17, 2018)
  In: Conference Record of the 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) 2018
  DOI: 10.1109/nssmic.2018.8824463
• Martindale C., Roth N., Gaßner H., Jensen D., Kohl Z., Eskofier B.:
  Mobile Gait Analysis Using Personalised Hidden Markov Models for Hereditary Spastic Paraplegia Patients
  In: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2018
  DOI: 10.1109/EMBC.2018.8513508
  URL: https://www.mad.tf.fau.de/files/2018/09/embc2018_martindale.pdf
• Martindale C., Roth N., Hannink J., Sprager S., Eskofier B.:
  Smart Annotation Tool for Multi-sensor gait based daily activity data
  In: 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) 2018
  DOI: 10.1109/PERCOMW.2018.8480193
  URL: https://www.mad.tf.fau.de/files/2018/09/percom2018_martindale.pdf
• Marxreiter F., Gaßner H., Borozdina O., Barth J., Kohl Z., Schlachetzki J., Thun-Hohenstein C., Volc D., Eskofier B., Winkler J., Klucken J.:
  Sensor-based gait analysis of individualized improvement during apomorphine titration in Parkinson's disease
  In: Journal of Neurology 265 (2018), p. 2656-2665
  ISSN: 0340-5354
  DOI: 10.1007/s00415-018-9012-7
• Maurer M., Kautz T., Schlenzig A., Hiemann A., Zrenner M., Eskofier B.:
  Classification of Match Phases in Handball
  12. Symposium der Sektion Sportinformatik und Sporttechnologie der Deutschen Vereinigung für Sportwissenschaft (dvs) (München, September 5, 2018 - September 7, 2018)
• Maurer M., Zrenner M., Reynolds D., Dümler B., Eskofier B.:
  Sleeve Based Knee Angle Calculation for Rehabilitation
  2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN) (Las Vegas, Nevada, March 4, 2018 - March 7, 2018)
  In: IEEE (ed.): Proceedings of the 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN) 2018
  DOI: 10.1109/bsn.2018.8329644
• Moceri S., Canneva F., Habermeyer J., Dobner J., Schulze-Krebs A., Puchades M., Bjaalie JG., Kohl Z., Winkler J., Timotius I., Eskofier B., Schilling S., Demuth HU., Hartlage-Rübsamen M., Rossner S., Casadei N., Riess O., von Hörsten S.:
  Association of early phenotypic behavioral alterations in human alpha-synuclein overexpressing transgenic rats with alpha-synuclein/huntingtin/amyloid-beta protein cross-seeding
  Advances in Alzheimer's and Parkinson's Therapies an AAT-AD/PD Focus Meeting (Torino, March 15, 2018 - March 18, 2018)
  In: Advances in Alzheimer's and Parkinson's Therapies an AAT-AD/PD Focus Meeting 2018
• Nitschke M., Dorschky E., Seifer AK., Schlarb H., van den Bogert AJ., Eskofier B.:
  Optimal Control Simulation of a 2D Biomechanical Model for Sensor-Based Gait Analysis
  Summer School "Humans in Motion" (Heidelberg, September 23, 2018 - September 28, 2018)
  URL: https://www.mad.tf.fau.de/files/2018/10/2018_09_18_Nitschke_HumansInMotion.pdf
• Orlemann T., Reljic D., Zenker B., Meyers J., Eskofier B., Thiemt J., Herrmann HJ., Neurath M., Zopf Y.:
  A Novel Mobile Phone App (OncoFood) to Record and Optimize the Dietary Behavior of Oncologic Patients: Pilot Study
  In: JMIR Cancer 4 (2018)
  ISSN: 2369-1999
  DOI: 10.2196/10703
• Orlemann T., Zenker B., Reljic D., Meyer J., Oberlaender J., Herrmann HJ., Eskofier B., Neurath M., Zopf Y.:
  Recording and Optimizing the Nutritional Behavior of oncological Patients by using a Smartphone App (OncoFood)
• Pasluosta CF., Hannink J., Gaßner H., von Tscharner V., Winkler J., Klucken J., Eskofier B.:
  Motor output complexity in Parkinson's disease during quiet standing and walking: Analysis of short-term correlations using the entropic half-life.
  In: Human movement science 58 (2018), p. 185-194
  ISSN: 1872-7646
  DOI: 10.1016/j.humov.2018.02.005
• Raccagni C., Gaßner H., Eschlboeck S., Boesch S., Krismer F., Seppi K., Poewe W., Eskofier B., Winkler J., Wenning G., Klucken J.:
  Sensor-based gait analysis in atypical parkinsonian disorders
  In: Brain and Behavior 8 (2018)
  ISSN: 2162-3279
  DOI: 10.1002/brb3.977
• Richer R., Zhao N., Amores J., Eskofier B., Paradiso JA.:
  Real-time Mental State Recognition using a Wearable EEG
  40th International Engineering in Medicine and Biology Conference (EMBC) (Honolulu, Hawaii, July 17, 2018 - July 21, 2018)
  DOI: 10.1109/embc.2018.8513653
  URL: https://www.mad.tf.fau.de/files/2019/02/2018-Richer-EMBC-MentalStateEEG.pdf
• Roth N., Martindale C., Gaßner H., Kohl Z., Klucken J., Eskofier B.:
  Synchronized sensor insoles for clinical gait analysis in home-monitoring applications
  DOI: 10.1515/cdbme-2018-0103
• Schellenberger S., Shi K., Mai M., Wiedemann JPW., Steigleder T., Eskofier B., Weigel R., Kölpin A.:
  Detecting Respiratory Effort-Related Arousals in Polysomnographic Data Using LSTM Networks
  Computing in Cardiology (MECC Maastricht, September 23, 2018 - September 26, 2018)
  DOI: 10.22489/cinc.2018.104
• Stefke A., Wilm F., Richer R., Gradl S., Eskofier B., Forster C., Namer B.:
  "MigraineMonitor" – Towards a System for the Prediction of Migraine Attacks using Electrostimulation
  52th Annual Conference of the German Society for Biomedical Engineering (VDE|DGBMT) (Aachen, September 26, 2018 - September 28, 2018)
  In: Current Directions in Biomedical Engineering 2018
  DOI: 10.1515/cdbme-2018-0151
  URL: https://www.mad.tf.fau.de/files/2018/09/2018-StefkeWilm-DGBMT-MigraineMonitor.pdf
• Steib S., Klamroth S., Gaßner H., Pasluosta CF., Eskofier B., Winkler J., Klucken J., Pfeifer K.:
  Gait adaptations to treadmill training in Parkinson’s patients: effects of perturbation, sustainability, and moderators
  In: Murphy, M., Boreham, C., De Vito, G., Tsolakidis, E. (ed.): Book of Abstracts, 2018, p. 335
  ISBN: 978-3-9818414-1-1
• Stoffel Antunes R., Adams Seewald L., Facco Rodrigues V., Facco Rodrigues V., Andre da Costa C., da Silveira Junior LG., da Rosa Righi R., Maier A., Eskofier B., Ollenschläger M., Naderi Boldaji F., Fahrig R., Bauer S., Klein S., Campanatti G.:
  A Survey of Sensors in Healthcare Workflow Monitoring
  In: ACM Computing Surveys 51 (2018), Article No.: 42
  ISSN: 0360-0300
  DOI: 10.1145/3177852
  URL: https://dl.acm.org/citation.cfm?id=3177852
• Stöve M., Eskofier B.:
  Last length estimation in football
  Spinfortec 2018 (Garching b. München, September 6, 2018 - September 7, 2018)
  In: Sportinformatik XII 2018
• Timotius I., Canneva F., Minakaki G., Moceri S., Casadei N., Riess O., Winkler J., von Hörsten S., Eskofier B., Klucken J.:
  Systematic Data Analysis and Data Mining in Gait Analysis by Heat Mapping
  11th International Conference on Methods and Techniques in Behavioral Research (Manchester, June 5, 2018 - June 8, 2018)
  In: Robyn Grant, Tom Allen, Andrew Spink (ed.): Measuring Behavior 2018, UK: 2018
  Open Access: https://www.measuringbehavior.org/mb2018/Publications
  URL: https://www.measuringbehavior.org/mb2018/Publications
• Timotius I., Canneva F., Minakaki G., Pasluosta CF., Moceri S., Casadei N., Riess O., Winkler J., Klucken J., von Hörsten S., Eskofier B.:
  Dynamic footprint based locomotion sway assessment in α-synucleinopathic mice using Fast Fourier Transform and Low Pass Filter
  In: Journal of Neuroscience Methods 296 (2018), p. 1-11
  ISSN: 0165-0270
  DOI: 10.1016/j.jneumeth.2017.12.004
  URL: http://www.sciencedirect.com/science/article/pii/S0165027017304211
• Timotius I., Canneva F., Minakaki G., Pasluosta CF., Moceri S., Casadei N., Riess O., Winkler J., Klucken J., von Hörsten S., Eskofier B.:
  Dynamic footprints of α-synucleinopathic mice recorded by CatWalk gait analysis
  In: Data in Brief 17 (2018), p. 189-193
  ISSN: 2352-3409
  DOI: 10.1016/j.dib.2017.12.067
  URL: https://www.sciencedirect.com/science/article/pii/S2352340918300015
• Timotius I., Moceri S., Plank AC., Habermeyer J., Canneva F., Casadei N., Riess O., Winkler J., Klucken J., Eskofier B., von Hörsten S.:
  Rodent’s Stride Length Depends on Body Size: Implications for CatWalk Assay
  11th International Conference on Methods and Techniques in Behavioral Research (Measuring Behavior 2018) (Manchester, June 5, 2018 - June 8, 2018)
  In: Robyn Grant, Tom Allen, Andrew Spink, Matthew Sullivan (ed.): Measuring Behavior 2018, UK: 2018
  Open Access: https://www.measuringbehavior.org/mb2018/Publications
  URL: https://www.measuringbehavior.org/mb2018/Publications
• Tobola A., Leutheuser H., Pollak M., Spies P., Hofmann C., Weigand C., Eskofier B., Fischer G.:
  Self-powered Multiparameter Health Sensor
  In: IEEE Journal of Biomedical and Health Informatics 22 (2018), p. 15-22
  ISSN: 2168-2194
• Ullrich M., Gladow T., Roth N., Küderle A., Ollenschläger M., Gaßner H., Winkler J., Klucken J., Eskofier B.:
  FallRiskPD: Long-term fall risk classification for Parkinson’s disease via intelligent sensor-based gait analysis in the home environment (Talk)
  European Falls Festival 2018 (Manchester, July 2, 2018 - July 3, 2018)
  In: European Falls Festival, 2nd and 3rd July 2018, Manchester, United Kingdom, ABSTRACT BOOKLET 2018
  URL: http://eufallsfest.eu/documents/Abstract Booklet.pdf
• Vasquez Correa J., Arias Vergara T., Rafael Orozco-Arroyave J., Eskofier B., Klucken J., Nöth E.:
  Multimodal assessment of Parkinson's disease: a deep learning approach
  In: IEEE Journal of Biomedical and Health Informatics (2018)
  ISSN: 2168-2194
  DOI: 10.1109/JBHI.2018.2866873
  URL: https://ieeexplore.ieee.org/document/8444654
• Wanner P., Schmautz T., Kluge F., Eskofier B., Pfeifer K., Steib S.:
  Unterschiede in der Sprunggelenksvariabilität beim Laufen zwischen Sportlern mit chronischer Instabilität und Copern
  2. GAMMA Kongress (Hamburg, February 9, 2018 - February 10, 2018)
  In: 2. GAMMA Kongress 2018
• Wirth M., Gradl S., Poimann D., Richer R., Ottmann J., Eskofier B.:
  Exploring the Feasibility of EMG Based Interaction for Assessing Cognitive Capacity in Virtual Reality
  40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 (Honolulu, HI, USA, July 18, 2018 - July 21, 2018)
  In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2018
  DOI: 10.1109/EMBC.2018.8513213
• Wirth M., Gradl S., Poimann D., Schaefke H., Matlok S., Koerger H., Eskofier B.:
  Assessment of Perceptual-Cognitive Abilities among Athletes in Virtual Environments: Exploring Interaction Concepts for Soccer Players
  ACM SIGCHI Conference on Designing Interactive Systems 2018 (Hong Kong, June 9, 2018 - June 13, 2018)
  In: ACM New York, NY, USA ©2018 (ed.): Proceedings of the 2018 Designing Interactive Systems Conference, New York: 2018
  DOI: 10.1145/3196709.3196780
  URL: https://dl.acm.org/citation.cfm?doid=3196709.3196780
• Wirth M., Gradl S., Sembdner J., Kuhrt S., Eskofier B.:
  Evaluation of Interaction Techniques for a Virtual Reality Reading Room in Diagnostic Radiology
  31st Annual ACM Symposium on User Interface Software and Technology (UIST) (Berlin, October 14, 2018 - October 17, 2018)
  In: UIST 2018: PROCEEDINGS OF THE 31ST ANNUAL ACM SYMPOSIUM ON USER INTERFACE SOFTWARE AND TECHNOLOGY, NEW YORK: 2018
  DOI: 10.1145/3242587.3242636
• Witchel HJ., Oberndorfer C., Needham R., Healy A., Westling CE., Guppy JH., Bush J., Barth J., Herberz C., Roggen D., Eskofier B., Rashid W., Chockalingam N., Klucken J.:
  Thigh-Derived Inertial Sensor Metrics to Assess the Sit-to-Stand and Stand-to-Sit Transitions in the Timed Up and Go (TUG) Task for Quantifying Mobility Impairment in Multiple Sclerosis
  In: Frontiers in Neurology 9 (2018)
  ISSN: 1664-2295
  DOI: 10.3389/fneur.2018.00684
• Zrenner M., Gradl S., Jensen U., Ullrich M., Eskofier B.:
  Comparison of Different Algorithms for Calculating Velocity and Stride Length in Running Using Inertial Measurement Units
  In: Sensors 18 (2018), Article No.: 4194
  ISSN: 1424-8220
  DOI: 10.3390/s18124194
• Zrenner M., Ullrich M., Zobel P., Jensen U., Laser F., Groh B., Dümler B., Eskofier B.:
  Kinematic parameter evaluation for the purpose of a wearable running shoe recommendation
  Body Sensor Networks Conference (BSN) (Las Vegas, March 4, 2018 - March 7, 2018)
  In: IEEE (ed.): Proceedings of the 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN) 2018
  DOI: 10.1109/bsn.2018.8329670