Prof. Dr. Björn Eskofier

2024

• Abel, L., Richer, R., Hauck, F., Kurz, M., Ringgold, V., Schindler-Gmelch, L.,... Rohleder, N. (2024). - Does acute stress exposure change gait patterns? Psychoneuroendocrinology, 160, 106818. https://doi.org/10.1016/j.psyneuen.2023.106818
• Albert, T., Eskofier, B., & Zanca, D. (2024). From patches to objects: exploiting spatial reasoning for better visual representations. Discover Applied Sciences, 6(5). https://doi.org/10.1007/s42452-024-05894-2
• Albrecht, N., Langer, D., Krauß, D., Richer, R., Abel, L., Eskofier, B.,... Kölpin, A. (2024). EmRad: Ubiquitous Vital Sign Sensing using Compact Continuous-Wave Radars. IEEE Open Journal of Engineering in Medicine and Biology, 1-10. https://doi.org/10.1109/OJEMB.2024.3420241
• Altmannshofer, S., Flaucher, M., Beierlein, M., Eskofier, B., Beckmann, M., Fasching, P., & Hübner, H. (2024). A content-based review of mobile health applications for breast cancer prevention and education: Characteristics, quality and functionality analysis. Digital Health, 10. https://doi.org/10.1177/20552076241234627
• Dietz, S., Altstidl, T.R., Zanca, D., Eskofier, B., & Nguyen, A. (2024). How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series. In IEEE Computational Intelligence Society (Eds.), Proceedings of the International Joint Conference on Neural Networks (IJCNN). Yokohama, JP.
• Eskofier, B., & Vossiek, M. (2024). Invisible Sensing: Radar-based Biomonitoring. IEEE Open Journal of Engineering in Medicine and Biology, 1-2. https://doi.org/10.1109/OJEMB.2024.3409086
• Flaucher, M., Prümer, F., Jäger, K., Rolny, J., Trissler, P., Eckl, S.,... Leutheuser, H. (2024). Motivational Factors for Experienced Users of Mobile Health Applications in Heart Failure Management. In NordiCHI '24 Adjunct: Adjunct Proceedings of the 2024 Nordic Conference on Human-Computer Interaction (pp. 1-5). Uppsala, SE: New York City: Association for Computing Machinery.
• Förstel, S., Förstel, M., Gallistl, M., Zanca, D., Eskofier, B., & Rothgang, E.M. (2024). Data quality in hospital information systems: Lessons learned from analyzing 30 years of patient data in a regional German hospital. International Journal of Medical Informatics, 192. https://doi.org/10.1016/j.ijmedinf.2024.105636
• Grube, L., Petit, P., Vuillerme, N., Nitschke, M., Nwosu, O.B., Knitza, J.,... Morf, H. (2024). Complementary App-Based Yoga Home Exercise Therapy for Patients With Axial Spondyloarthritis: Usability Study. JMIR Formative Research, 8. https://doi.org/10.2196/57185
• Ibrahim, A., Ollenschläger, M., Klebe, S., Schüle, R., Jeschonneck, N., Kellner, M.,... Regensburger, M. (2024). Mobile digital gait analysis captures effects of botulinum toxin in hereditary spastic paraplegia. European Journal of Neurology. https://doi.org/10.1111/ene.16367
• Jäger, K., Nissen, M., Rahm, S., Titzmann, A., Fasching, P., Beilner, J.,... Leutheuser, H. (2024). Power-MF: Robust fetal QRS detection from non-invasive fetal electrocardiogram recordings. Physiological Measurement. https://doi.org/10.1088/1361-6579/ad4952
• Keinert, M., Schindler-Gmelch, L., Eskofier, B., & Berking, M. (2024). An Anger-based Approach-Avoidance Modification Training Targeting Dysfunctional Beliefs in Adults with Elevated Stress – Results from a Randomized Controlled Pilot Study. International Journal of Cognitive Therapy. https://doi.org/10.1007/s41811-024-00218-z
• Kirk, C., Küderle, A., Micó-Amigo, M.E., Bonci, T., Paraschiv-Ionescu, A., Ullrich, M.,... Del Din, S. (2024). Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-51766-5
• Kluge, F., Brand, Y.E., Micó-Amigo, M.E., Bertuletti, S., D'Ascanio, I., Gazit, E.,... Mueller, A. (2024). Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study. JMIR Formative Research, 8. https://doi.org/10.2196/50035
• Krauß, D., Engel, L., Ott, T., Bräunig, J., Richer, R., Gambietz, M.,... Vossiek, M. (2024). A Review and Tutorial on Machine Learning- Enabled Radar-Based Biomedical Monitoring. IEEE Open Journal of Engineering in Medicine and Biology, 1-22. https://doi.org/10.1109/OJEMB.2024.3397208
• Kudelka, J., Ollenschläger, M., Dodel, R., Eskofier, B., Hobert, M.A., Jahn, K.,... Jacobs, A.H. (2024). Which Comprehensive Geriatric Assessment (CGA) instruments are currently used in Germany: a survey. BMC Geriatrics, 24(1). https://doi.org/10.1186/s12877-024-04913-6
• Kurz, M., Richer, R., Abel, L., Hauck, F., Ringgold, V., Schindler-Gmelch, L.,... Rohleder, N. (2024). - f-TSST+: An extension to the friendly Trier Social Stress Test that enables better behavioral comparability during acute psychosocial stress. Psychoneuroendocrinology, 160, 106862. https://doi.org/10.1016/j.psyneuen.2023.106862
• Küderle, A., Ullrich, M., Roth, N., Ollenschläger, M., Ibrahim, A., Moradi, H.,... Eskofier, B. (2024). Gaitmap – An Open Ecosystem for IMU-based Human Gait Analysis and Algorithm Benchmarking. IEEE Open Journal of Engineering in Medicine and Biology, 1-10. https://doi.org/10.1109/OJEMB.2024.3356791
• Laudanski, A.F., Küderle, A., Kluge, F., Eskofier, B., & Acker, S.M. (2024). Enhancing Automatic Inertial Sensor Calibration Algorithm for Accurate Joint Angle Estimation in High Flexion Postures. IEEE Sensors Journal, 1-1. https://doi.org/10.1109/JSEN.2024.3423374
• Lennartz, R., Khassetarash, A., R. Nigg, S., Eskofier, B., & Nigg, B.M. (2024). Neural network and layer-wise relevance propagation reveal how ice hockey protective equipment restricts players’ motion. PLoS ONE, 19, e0312268. https://doi.org/10.1371/journal.pone.0312268
• Lennartz, R., Stöve, M., Talar, K., Kumarampulakkal, N., Dorschky, E., Witte, M., & Eskofier, B. (2024, July). The Influence of Gamification on Motivation and Cardiac Variables in Soccer. Paper presentation at 29th Annual Congress of the European College of Sport Science, Glasgow, Scotland, UK.
• Lüer, L., Peters, I.M., Smith, A.-S., Dorschky, E., Eskofier, B., Liers-Bergmann, F.,... Brabec, C. (2024). A digital twin to overcome long-time challenges in photovoltaics. Joule, 8, 1-17. https://doi.org/10.1016/j.joule.2023.12.010
• Micó-Amigo, M.E., Bonci, T., Paraschiv-Ionescu, A., Ullrich, M., Kirk, C., Soltani, A.,... Del Din, S. (2024). 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). Journal of neuroEngineering and rehabilitation, 21(1). https://doi.org/10.1186/s12984-024-01361-6
• Moradi, H., Flaucher, M., Ott, T., Ringgold, V., Eskofier, B., & Leutheuser, H. (2024). Can HCI Lead the Way? Workshop on Exploring Conscious AI. Gesellschaft für Informatik e.V..
• Müller, J., Krauß, D., Engel, L., Vossiek, M., Eskofier, B., & Dorschky, E. (2024). End-to-End Learning for Human Pose Estimation from Raw Millimeter Wave Radar Data. In Proceedings of the Asilomar Conference on Signals, Systems, and Computers.
• Nitschke, M., Dorschky, E., Leyendecker, S., Eskofier, B., & Koelewijn, A. (2024). Estimating 3D kinematics and kinetics from virtual inertial sensor data through musculoskeletal movement simulations. Frontiers in Bioengineering and Biotechnology, 12. https://doi.org/10.3389/fbioe.2024.1285845
• Owsienko, D., Schwinn, L., Eskofier, B., Kiesswetter, E., & Loos, H. (2024). Sensory evaluation of axillary odour samples of younger and older adults by a trained panel. Flavour and Fragrance Journal, 39(1), 3-9. https://doi.org/10.1002/ffj.3762
• Raccagni, C., Sidoroff, V., Paraschiv-Ionescu, A., Roth, N., Schönherr, G., Eskofier, B.,... Wenning, G. (2024). Effects of physiotherapy and home-based training in parkinsonian syndromes: protocol for a randomised controlled trial (MobilityAPP). BMJ Open, 14(5), e081317-. https://doi.org/10.1136/bmjopen-2023-081317
• Richer, R., Abel, L., Mücke, A., Küderle, A., Eskofier, B., & Rohleder, N. (2024). - CARWatch – An Open-Source Framework for Objective Cortisol Awakening Response Assessment. Psychoneuroendocrinology, 160, 106845. https://doi.org/10.1016/j.psyneuen.2023.106845
• Richer, R., Koch, V., Abel, L., Hauck, F., Kurz, M., Ringgold, V.,... Rohleder, N. (2024). Machine learning-based detection of acute psychosocial stress from body posture and movements. Scientific Reports, 14. https://doi.org/10.1038/s41598-024-59043-1
• Richer, R., Varkentin, E., Kurmanbekova, K., Müller, V., Abel, L., Ringgold, V.,... Eskofier, B. (2024). - Stress+ – Towards an Open-Source Web Application for the Remote Induction of Acute Psychosocial Stress. Psychoneuroendocrinology, 160, 106870. https://doi.org/10.1016/j.psyneuen.2023.106870
• Richer, R., Zenkner, J.J., Küderle, A., Rohleder, N., & Eskofier, B. (2024). - Lower Vagal Response to the Cold Face Test during Acute Psychosocial Stress is Associated with Higher Cortisol Reactivity. Psychoneuroendocrinology, 160, 106871. https://doi.org/10.1016/j.psyneuen.2023.106871
• Ringgold, V., Abel, L., Eskofier, B., & Rohleder, N. (2024). Validation of the Virtual Reality Stroop Room: Effects of inhibiting interfering information under time-pressure and task-switching demands. Computers in Human Behavior Reports, 16. https://doi.org/10.1016/j.chbr.2024.100497
• Roider, J., Nguyen, A., Zanca, D., & Eskofier, B. (2024). Assessing the Performance of Remaining Time Prediction Methods for Business Processes. IEEE Access, 1-19. https://doi.org/10.1109/ACCESS.2024.3459648
• Roider, J., Zanca, D., & Eskofier, B. (2024). Efficient Training of Recurrent Neural Networks for Remaining Time Prediction in Predictive Process Monitoring. In Andrea Marrella, Manuel Resinas, Mieke Jans, Michael Rosemann (Eds.), Business Process Management, 22nd International Conference, BPM 2024, Krakow, Poland, September 1–6, 2024, Proceedings (pp. 238 - 255). Krakow, PL: Cham: Springer.
• Schlieper, P., Dombrowski, M., Nguyen, A., Zanca, D., & Eskofier, B. (2024). Data-Centric Benchmarking of Neural Network Architectures for the Univariate Time Series Forecasting Task. Forecasting, 6(3), 718-747. https://doi.org/10.3390/forecast6030037
• Schlieper, P., Luft, H., Klede, K., Strohmeyer, C., Eskofier, B., & Zanca, D. (2024). Enhancing unsupervised outlier model selection: A study on ireos algorithms. ACM Transactions on Knowledge Discovery from Data, 18(7). https://doi.org/10.1145/3653719
• Schmidt, M., Sadeghi, M., Rahimi, F., Eskofier, B., Buglagil, A., Schmauß, B., & Carlowitz, C. (2024). Realtime Laser Beam Steering and Calibration Method for Coherent Biomedical Distance and Motion Sensing. In CLEO: Science and Innovations, CLEO: S and I 2024 in Proceedings CLEO 2024, Part of Conference on Lasers and Electro-Optics. Charlotte, NC, USA: Optical Society of America.
• Schrupp, B., Klede, K., Raab, R., & Eskofier, B. (2024). Simulation and Detection of Healthcare Fraud in German Inpatient Claims Data. In Franco, L., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (Eds.), Computational Science -- ICCS 2024 (pp. 239--246). Cham: Springer.
• Shanbhag, J., Fleischmann, S., Gaßner, H., Winkler, J., Eskofier, B., Koelewijn, A.,... Miehling, J. (2024). Modelling postural control of upright standing during translational perturbations. Poster presentation at 29th Congress of the European Society of Biomechanics, Edinburgh, Scotland.
• Shanbhag, J., Fleischmann, S., Wechsler, I., Gaßner, H., Winkler, J., Eskofier, B.,... Miehling, J. (2024). A sensorimotor enhanced neuromusculoskeletal model for simulating postural control of upright standing. Frontiers in Neuroscience, 18. https://doi.org/10.3389/fnins.2024.1393749
• Simpetru, R., Arkudas, A., Braun, D., Oßwald, M., Souza de Oliveira, D., Eskofier, B.,... Del Vecchio, A. (2024). Learning a Hand Model from Dynamic Movements Using High-Density EMG and Convolutional Neural Networks. IEEE Transactions on Biomedical Engineering, 1-12. https://doi.org/10.1109/TBME.2024.3432800
• Souza de Oliveira, D., Ponfick, M., Braun, D., Oßwald, M., Sierotowicz, M., Chatterjee, S.,... Del Vecchio, A. (2024). A direct spinal cord–computer interface enables the control of the paralysed hand in spinal cord injury. Brain, 147(10), 3583-3595. https://doi.org/10.1093/brain/awae088
• Stahlke, M., Feigl, T., Kram, S., Eskofier, B., & Mutschler, C. (2024). Uncertainty-Based Fingerprinting Model Monitoring for Radio Localization. IEEE Journal of Indoor and Seamless Positioning and Navigation.
• Stahlke, M., George, Y., Feigl, T., Eskofier, B., & Mutschler, C. (2024). Velocity-Based Channel Charting with Spatial Distribution Map Matching. IEEE Journal of Indoor and Seamless Positioning and Navigation, 1-10. https://doi.org/10.1109/JISPIN.2024.3424768
• Streit, H., Keinert, M., Schindler-Gmelch, L., Eskofier, B., & Berking, M. (2024). Disgust-based approach-avoidance modification training for individuals suffering from elevated stress: A randomized controlled pilot study. Stress and Health. https://doi.org/10.1002/smi.3384
• Wechsler, I., Wolf, A., Shanbhag, J., Leyendecker, S., Eskofier, B., Koelewijn, A.,... Miehling, J. (2024). Bridging the sim2real gap. Investigating deviations between experimental motion measurements and musculoskeletal simulation results—a systematic review. Frontiers in Bioengineering and Biotechnology, 12. https://doi.org/10.3389/fbioe.2024.1386874
• Zakreuskaya, A., Buschek, D., Mackay, W.E., Avellino, I., Dove, G., & Eskofier, B. (2024). From Text to Treatment: How Medical Discharge Letters Are Used as a Key Artifact for Managing Patient Care. In ACM International Conference Proceeding Series (pp. 99-109). Karlsruhe, DEU: Association for Computing Machinery.
• Zürl, M., Stoll, P., Brehm, I., Sueskind, J., Raab, R., Petermann, J.,... Eskofier, B. (2024). Automated long-term monitoring of stereotypical movement in polar bears under human care using machine learning. Ecological Informatics, 102840. https://doi.org/10.1016/j.ecoinf.2024.102840

2023

• Abdullahi, I., Raab, R., Küderle, A., & Eskofier, B. (2023). Aligning Federated Learning with Existing Trust Structures in Health Care Systems. International Journal of Environmental Research and Public Health, 20(7). https://doi.org/10.3390/ijerph20075378
• Altstidl, T.R., Nguyen, A., Schwinn, L., Köferl, F., Mutschler, C., Eskofier, B., & Zanca, D. (2023). Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks. In Proc. Intl. Joint Conf. Neural Netw. (IJCNN) (pp. 1-8). Gold Coast, Australia, AU.
• Bräunig, J., Mejdani, D., Krauß, D., Grießhammer, S., Richer, R., Schüßler, C.,... Vossiek, M. (2023). Radar-based Recognition of Activities of Daily Living in the Palliative Care Context Using Deep Learning. In 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). Pittsburgh, US: New York City: IEEE.
• Bräunig, J., Mejdani, D., Krauß, D., Grießhammer, S., Richer, R., Schüßler, C.,... Vossiek, M. (2023). Radar-based Recognition of Activities of Daily Living in the Palliative Care Context Using Deep Learning. In 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). Pittsburgh, US: IEEE.
• Brückner, S., Weber, J., Michler, F., Shanin, N., Schober, R., Hagelauer, A.,... Vossiek, M. (2023). A Wireless Joint Communication and Localization EMG-Sensing Concept for Movement Disorder Assessment. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 0(0), 1--10. https://doi.org/10.1109/JERM.2023.3321974
• Casolo, A., Maeo, S., Balshaw, T.G., Lanza, M.B., Martin, N.R.W., Nuccio, S.,... Del Vecchio, A. (2023). Non-invasive estimation of muscle fibre size from high-density electromyography. The Journal of Physiology. https://doi.org/10.1113/JP284170
• Cerutti, S., Eskofier, B., & Tourassi, G. (2023). Guest Editorial Advancing Biomedical Discovery and Healthcare Delivery Through Digital Technology. IEEE Journal of Biomedical and Health Informatics, 27(6), 2656-2659. https://doi.org/10.1109/JBHI.2023.3274977
• Del Vecchio, A., Marconi Germer, C., Kinfe, T.M., Nuccio, S., Hug, F., Eskofier, B.,... Enoka, R.M. (2023). The Forces Generated by Agonist Muscles during Isometric Contractions Arise from Motor Unit Synergies. The Journal of Neuroscience, 43(16), 2860-2873. https://doi.org/10.1523/JNEUROSCI.1265-22.2023
• Dumbach, P., Schwinn, L., Löhr, T., Do, P.L., & Eskofier, B. (2023). Artificial intelligence trend analysis on healthcare podcasts using topic modeling and sentiment analysis: a data-driven approach. Evolutionary Intelligence. https://doi.org/10.1007/s12065-023-00878-4
• Dumbach, P., Schwinn, L., Löhr, T., Elsberger, T., & Eskofier, B. (2023). Artificial intelligence trend analysis in German business and politics: a web mining approach. International Journal of Data Science and Analytics, 1-22. https://doi.org/10.1007/s41060-023-00483-9
• Eskofier, B., & Klucken, J. (2023). Predictive Models for Health Deterioration: Understanding Disease Pathways for Personalized Medicine. In (pp. 131-156). Annual Reviews Inc..
• Flaucher, M., Zakreuskaya, A., Jäger, K., Richer, R., Smeddinck, J.D., Kumar, D.,... Leutheuser, H. (2023). Your Health, Your Data: Combining Interdisciplinary Views, Concepts, and Practices to Empower Patients in Their Engagement With Personal Health Data. In Workshopband. Rapperswil, CH.
• Flaucher, M., Zakreuskaya, A., Nissen, M., Mocker, A., Fasching, P., Beckmann, M.,... Leutheuser, H. (2023). Evaluating the Effectiveness of Mobile Health in Breast Cancer Care: A Systematic Review. Oncologist. https://doi.org/10.1093/oncolo/oyad217
• Fleischmann, S., Shanbhag, J., Miehling, J., Wartzack, S., Leyendecker, S., Koelewijn, A., & Eskofier, B. (2023). Time vs. Space: Comparing gait cycle normalization methods and their effect on foot placement control. Poster presentation at 28th Congress of the European Society of Biomechanics, Maastricht, NL.
• Gabler, E., Nissen, M., Altstidl, T.R., Titzmann, A., Packhäuser, K., Maier, A.,... Leutheuser, H. (2023). Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning. In 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 1-4). Sydney, NSW, AU: Institute of Electrical and Electronics Engineers Inc..
• Habs, M., Dingermann, T., Bachmeier, B.E., Eskofier, B., Friedrich, B., Prantl, L.,... Koller, M. (2023). 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. Zeitschrift für Allgemeinmedizin. https://doi.org/10.1007/s44266-023-00021-7
• Härtl, T., Owsienko, D., Schwinn, L., Hirsch, C., Eskofier, B., Lang, R.,... Loos, H. (2023). Exploring the interrelationship between the skin microbiome and skin volatiles: A pilot study. Frontiers in Ecology and Evolution, 11. https://doi.org/10.3389/fevo.2023.1107463
• Ibrahim, A., Adler, W., Gaßner, H., Rothhammer, V., Kluge, F., & Eskofier, B. (2023). Association between cognition and gait in multiple sclerosis: A smartphone-based longitudinal analysis. International Journal of Medical Informatics, 177. https://doi.org/10.1016/j.ijmedinf.2023.105145
• Keinert, M., Eskofier, B., Schuller, B.W., Böhme, S., & Berking, M. (2023). 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. Pilot and Feasibility Studies, 9(1). https://doi.org/10.1186/s40814-023-01386-z
• Klede, K., Altstidl, T.R., Zanca, D., & Eskofier, B. (2023). p-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison. In A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine (Eds.), Advances in Neural Information Processing Systems 36 (pp. 27113–27128). New Orleans, US: Curran Associates, Inc..
• Klede, K., Schwinn, L., Zanca, D., & Eskofier, B. (2023). FastAMI - A Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics. In Proceedings of the AAAI Conference on Artificial Intelligence, 37(7) (pp. 8317-8324). Washington, D.C., US.
• Koch, V., Jakob, V., Küderle, A., Ollenschläger, M., Kotter, K., Ibrahim, A.,... Gaßner, H. (2023). Inertial sensor acquired foot elevation parameters validated by Motion capture in a cohort of patients with Hereditary Spastic Paraplegias. Gait & Posture, 100, 79-80. https://doi.org/10.1016/j.gaitpost.2022.11.071
• Krauß, D., Richer, R., Albrecht, N.C., Küderle, A., Abel, L., Leutheuser, H.,... Eskofier, B. (2023, October). Contactless Heart Rate Estimation using a 61 GHz Continuous-Wave Radar. Poster presentation at IEEE-EMBS International Conference on Body Sensor Networks: Sensor and Systems for Digital Health, MIT Media Lab, Boston MA, US.
• Küderle, A., Richer, R., Simpetru, R., & Eskofier, B. (2023). tpcp: Tiny Pipelines for Complex Problems - A set of framework independent helpers for algorithms development and evaluation. Journal of Open Source Software, 8(82), 4953. https://doi.org/10.21105/joss.04953
• Lennartz, R., Khassetarash, A., Spyrou, E., Hallihan, A., Eskofier, B., & Nigg, B. (2023, August). The Influence of Protective Equipment on Performance in Ice Hockey. Poster presentation at XXIX Conference of the International Society of Biomechanics (ISB), Fukuoka, JP.
• Loris, E., Ollenschläger, M., Greinwalder, T., Eskofier, B., Winkler, J., Gaßner, H., & Regensburger, M. (2023). Mobile digital gait analysis objectively measures progression in hereditary spastic paraplegia. Annals of Clinical and Translational Neurology, 10(3). https://doi.org/10.1002/acn3.51725
• Löffler, C., Fallah, K., Fenu, S., Zanca, D., Eskofier, B., Rozell, C.J., & Mutschler, C. (2023). Active Learning of Ordinal Embeddings: A User Study on Football Data. Transactions on Machine Learning Research, 1-26.
• Maier, T., Kamm, L., Heckmann, A., & Eskofier, B. (2023, May). Homogeneous Soil Moisture Sensor with High Repeatability for Different Soil Depths. Poster presentation at Sensor and Measurement Science International 2023, Nuremberg, Germany, DE.
• Mayer, K., Del Vecchio, A., Eskofier, B., & Farina, D. (2023). Unsupervised neural decoding of signals recorded by thin-film electrode arrays implanted in muscles using autoencoding with a physiologically derived optimisation criterion. Biomedical Signal Processing and Control, 86. https://doi.org/10.1016/j.bspc.2023.105178
• Mehringer, W., Stöve, M., Krauß, D., Ring, M., Steussloff, F., Güttes, M.,... Eskofier, B. (2023). 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). Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-43373-7
• Mehringer, W., Stöve, M., Krauß, D., Ring, M., Steussloff, F., Güttes, M.,... Eskofier, B. (2023). Virtual reality for assessing stereopsis performance and eye characteristics in Post-COVID. Scientific Reports, 13(1), 13167-. https://doi.org/10.1038/s41598-023-40263-w
• Micó-Amigo, M.E., Bonci, T., Paraschiv-Ionescu, A., Ullrich, M., Kirk, C., Soltani, A.,... Del Din, S. (2023). Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium. Journal of neuroEngineering and rehabilitation, 20(1). https://doi.org/10.1186/s12984-023-01198-5
• Moradi, H., Hannink, J., Stallforth, S., Gladow, T., Ringbauer, S., Mayr, M.,... Eskofier, B. (2023). Monitoring medication optimization in patients with Parkinson’s disease. In 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Sydney, AU.
• Nissen, M., Barrios Campo, N., Flaucher, M., Jäger, K., Titzmann, A., Blunck, D.,... Leutheuser, H. (2023). Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data. npj Digital Medicine, 6(1). https://doi.org/10.1038/s41746-023-00935-3
• Nissen, M., Flaucher, M., Jäger, K., Hübner, H., Danzberger, N., Titzmann, A.,... Leutheuser, H. (2023). WebPPG: Feasibility and Usability of Self-Performed, Browser-Based Smartphone Photoplethysmography. In 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Sydney, NSW, AU: Institute of Electrical and Electronics Engineers Inc..
• Nissen, M., Perez, C.A., Jäger, K., Bleher, H., Flaucher, M., Hübner, H.,... Leutheuser, H. (2023). Usability and Perception of a Wearable-Integrated Digital Maternity Record App in Germany: User Study. JMIR Pediatrics and Parenting, 6(1). https://doi.org/10.2196/50765
• Nitschke, M., Marzilger, R., Leyendecker, S., Eskofier, B., & Koelewijn, A. (2023). Change the direction: 3D optimal control simulation by directly tracking marker and ground reaction force data. PeerJ. https://doi.org/10.7717/peerj.14852
• Nitschke, M., Nwosu, O.B., Grube, L., Knitza, J., Seifer, A.-K., Eskofier, B.,... Morf, H. (2023). Refinement and Usability Analysis of an eHealth App for Ankylosing Spondylitis as a Complementary Treatment to Physical Therapy: Development and Usability Study. JMIR Formative Research, 7. https://doi.org/10.2196/47426
• Oesten, M., Richer, R., Abel, L., Rohleder, N., & Eskofier, B. (2023). VoStress – Voice-based Detection of Acute Psychosocial Stress. In 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). Pittsburgh, US: IEEE.
• Ollenschläger, M., Höfner, P., Ullrich, M., Kluge, F., Greinwalder, T., Loris, E.,... Gaßner, H. (2023). Automated assessment of foot elevation in adults with hereditary spastic paraplegia using inertial measurements and machine learning. Orphanet Journal of Rare Diseases, 18(1). https://doi.org/10.1186/s13023-023-02854-8
• Oppelt, M.P., Foltyn, A., Deuschel, J., Lang, N.R., Holzer, N., Eskofier, B., & Yang, S.H. (2023). ADABase: A Multimodal Dataset for Cognitive Load Estimation. Sensors, 23(1). https://doi.org/10.3390/s23010340
• Pontones, C., Titzmann, A., Hübner, H., Danzberger, N., Rübner, M., Häberle, L.,... Schneider, M. (2023). Feasibility and Acceptance of Self-Guided Mobile Ultrasound among Pregnant Women in Routine Prenatal Care. Journal of Clinical Medicine, 12(13). https://doi.org/10.3390/jcm12134224
• Raab, R., Küderle, A., Zakreuskaya, A., Stern, A.D., Klucken, J., Kaissis, G.,... Eskofier, B. (2023). Federated electronic health records for the European Health Data Space. The Lancet Digital Health, 5(11), e840-e847. https://doi.org/10.1016/S2589-7500(23)00156-5
• Ren, Z., Schuller, B.W., Eskofier, B., Nguyen, T.T., & Nejdl, W. (2023). Guest Editorial Trustworthy and Collaborative AI for Personalised Healthcare Through Edge-of-Things. IEEE Journal of Biomedical and Health Informatics, 27(11), 5213-5215. https://doi.org/10.1109/JBHI.2023.3322052
• Richer, R., Abel, L., Küderle, A., Eskofier, B., & Rohleder, N. (2023). CARWatch – A smartphone application for improving the accuracy of cortisol awakening response sampling. Psychoneuroendocrinology, 151, 106073. https://doi.org/10.1016/j.psyneuen.2023.106073
• Richer, R., Geßler, T., Herzer, L., Abel, L., Küderle, A., Rohleder, N., & Eskofier, B. (2023, October). openTSST – An open web platform for large-scale, video-based motion analysis during acute psychosocial stress. Poster presentation at IEEE-EMBS International Conference on Body Sensor Networks: Sensor and Systems for Digital Health, MIT Media Lab, Boston, MA, US.
• Ringgold, V., Mehringer, W., Eskofier, B., & Rohleder, N. (2023). Stroop, Stress, and VR: Developing the Virtual Reality Stroop Room. In Proceedings of the Würtual Reality XR Meeting. Würzburg.
• Rodrigues, V.F., da Rosa Righi, R., da Costa, C.A., Zeiser, F.A., Eskofier, B., Maier, A., & Kim, D. (2023). Digital health in smart cities: Rethinking the remote health monitoring architecture on combining edge, fog, and cloud. Health and Technology. https://doi.org/10.1007/s12553-023-00753-3
• Romijnders, R., Salis, F., Hansen, C., Küderle, A., Paraschiv-Ionescu, A., Cereatti, A.,... Maetzler, W. (2023). Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases. Frontiers in Neurology, 14. https://doi.org/10.3389/fneur.2023.1247532
• Rupp, L., Capito, K., Gmelch, L.M., Böhme, S., Richer, R., Sadeghi, M.,... Berking, M. (2023). Efficacy of a smartphone-based reappraisal training against depression and benefits of enhancing it with facial expression. Paper presentation at Society for Psychotherapie Research 54th International Annual Meeting, Dublin, IE.
• Rupp, L., Keinert, M., Böhme, S., Gmelch, L.M., Eskofier, B., Schuller, B.W., & Berking, M. (2023). Sadness-Based Approach-Avoidance Modification Training for Subjective Stress in Adults: Pilot Randomized Controlled Trial. JMIR Formative Research, 7, e50324. https://doi.org/10.2196/50324
• Sadeghi, M., Egger, B., Agahi, R., Richer, R., Capito, K., Rupp, L.,... Eskofier, B. (2023). Exploring the Capabilities of a Language Model-Only Approach for Depression Detection in Text Data. In IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) (pp. 5). Pittsburgh, PA, USA, US: IEEE.
• Salis, F., Bertuletti, S., Bonci, T., Caruso, M., Scott, K., Alcock, L.,... Cereatti, A. (2023). A multi-sensor wearable system for the assessment of diseased gait in real-world conditions. Frontiers in Bioengineering and Biotechnology, 11. https://doi.org/10.3389/fbioe.2023.1143248
• Scholl, C., Spiegler, M., Ludwig, K., Eskofier, B., Tobola, A., & Zanca, D. (2023). An Integrated Framework for Data Quality Fusion in Embedded Sensor Systems. Sensors, 23(8). https://doi.org/10.3390/s23083798
• Schwinn, L., Raab, R., Nguyen, A., Zanca, D., & Eskofier, B. (2023). Exploring misclassifications of robust neural networks to enhance adversarial attacks. Applied Intelligence. https://doi.org/10.1007/s10489-023-04532-5
• Schüßler, C., Hoffmann, M., Wirth, V., Eskofier, B., Weyrich, T., Stamminger, M., & Vossiek, M. (2023). Achieving Efficient and Realistic Full-Radar Simulations and Automatic Data Annotation by Exploiting Ray Meta Data from a Radar Ray Tracing Simulator. In Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) (Grant Number: 44241933) (Eds.), IEEE Xplore. 2023 IEEE Radar Conference (RadarConf23). San Antonio, TX, US, US: IEEE Xplore.
• Seifer, A.-K., Dorschky, E., Küderle, A., Moradi, H., Hannemann, R., & Eskofier, B. (2023). EarGait: Estimation of Temporal Gait Parameters from Hearing Aid Integrated Inertial Sensors. Sensors, 23(14). https://doi.org/10.3390/s23146565
• Shanbhag, J., Fleischmann, S., Eskofier, B., Koelewijn, A., Wartzack, S., & Miehling, J. (2023). Towards postural control simulation using a sensorimotor enhanced musculoskeletal human model. Poster presentation at ISPGR World Congress 2023, Brisbane, AU.
• Shanbhag, J., Wolf, A., Wechsler, I., Fleischmann, S., Winkler, J., Leyendecker, S.,... Miehling, J. (2023). Methods for integrating postural control into biomechanical human simulations: a systematic review. Journal of neuroEngineering and rehabilitation, 20(1). https://doi.org/10.1186/s12984-023-01235-3
• Stahlke, M., Feigl, T., Kram, S., Eskofier, B., & Mutschler, C. (2023). Uncertainty-based Fingerprinting Model Selection for Radio Localization. In Proc. 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2023) (pp. 1-6). Nuremberg, Germany, DE.
• Stahlke, M., Yammine, G., Feigl, T., Eskofier, B., & Mutschler, C. (2023). Indoor Localization with Robust Global Channel Charting: A Time-Distance-Based Approach. IEEE Transactions on Machine Learning in Communications and Networking, 1(1), 1-15. https://doi.org/10.1109/TMLCN.2023.3256964
• Ullrich, M., Roth, N., Küderle, A., Richer, R., Gladow, T., Gaßner, H.,... Kluge, F. (2023). Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data. IEEE Journal of Biomedical and Health Informatics, 27(1), 319-328. https://doi.org/10.1109/JBHI.2022.3215921
• Vorberg, L., Pflüger, S., Richer, R., Jäger, K., Küderle, A., Rohleder, N., & Eskofier, B. (2023). Prediction of Stress Coping Capabilities from Nightly Heart Rate Patterns using Machine Learning. In 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). Pittsburgh, US: IEEE.
• Zugarini, A., Röthenbacher, T., Klede, K., Ernandes, M., Eskofier, B., & Zanca, D. (2023). Die Rätselrevolution: Automated German Crossword Solving. In Federico Boschetti, Gianluca E. Lebani, Bernardo Magnini, Nicole Novielli (Eds.), Proceedings of the 9th Italian Conference on Computational Linguistics. Venice, IT.
• Zürl, M., Dirauf, R., Köferl, F., Steinlein, N., Sueskind, J., Zanca, D.,... Eskofier, B. (2023). PolarBearVidID: A Video-Based Re-Identification Benchmark Dataset for Polar Bears. Animals, 13, 801. https://doi.org/10.3390/ani13050801
• da Rosa Tavares, J.E., Ullrich, M., Roth, N., Kluge, F., Eskofier, B., Gaßner, H.,... Victória Barbosa, J.L. (2023). uTUG: An unsupervised Timed Up and Go test for Parkinson's disease. Biomedical Signal Processing and Control, 81. https://doi.org/10.1016/j.bspc.2022.104394

2022

• Albrecht, B.M., Flasskamp, F.T., Koster, A., Eskofier, B., & Bammann, K. (2022). Cross-sectional survey on researchers' experience in using accelerometers in health-related studies. BMJ Open Sport and Exercise Medicine, 8(2). https://doi.org/10.1136/bmjsem-2021-001286
• Antunes, R.S., Da Costa, C.A., Küderle, A., Abdullahi, I., & Eskofier, B. (2022). Federated Learning for Healthcare: Systematic Review and Architecture Proposal. ACM Transactions on Intelligent Systems and Technology. https://doi.org/10.1145/3501813
• Cakici, A., Oßwald, M., Souza de Oliveira, D., Braun, D., Simpetru, R., Kinfe, T.M.,... Del Vecchio, A. (2022). A Generalized Framework for the Study of Spinal Motor Neurons Controlling the Human Hand During Dynamic Movements. In Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 (pp. 4115-4118). Scottish Event Campus, Glasgow, GB: Institute of Electrical and Electronics Engineers Inc..
• Cakici, A.L., Oßwald, M., Souza de Oliveira, D., Braun, D., Simpetru, R.C., Kinfe, T.M.,... Del Vecchio, A. (2022). A Generalized Framework for the Study of Spinal Motor Neurons Controlling the Human Hand During Dynamic Movements. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp. 4115-4118). Glasgow, GBR: Institute of Electrical and Electronics Engineers Inc..
• Capito, K., Gmelch, L.M., Rupp, L., Sadeghi, M., Eskofier, B., & Berking, M. (2022). Efficacy of a smartphone-based reappraisal training against depressed mood and benefits of enhancing it with facial expression–a feasibility study. In Proceedings of the Deutscher Psychotherapiekongress. Berlin.
• Ceron, J.D., Lopez, D.M., Eskofier, B., & Kluge, F. (2022). Framework for Simultaneous Indoor Localization, Mapping, and Human Activity Recognition in Ambient Assisted Living Scenarios. Sensors, 22(9). https://doi.org/10.3390/s22093364
• Dib, W., Ghanem, K., Ababou, A., & Eskofier, B. (2022). Human Activity Recognition based on the Fading characteristics of the On-body Channel. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2022.3159992
• Facco Rodrigues, V., Righi, R.R., Andre da Costa, C., Stoffel Antunes, R., Bazo, R., Reis, E.S.,... Eskofier, B. (2022). HealthStack: Providing an IoT Middleware for Malleable QoS Service Stacking for Hospital 4.0 Operating Rooms. IEEE Internet of Things. https://doi.org/10.1109/JIOT.2022.3160633
• Fidorra, J., Nissen, M., Abdullahi Yari, I., Ostgathe, C., Steigleder, T., & Eskofier, B. (2022). Concept of a Simple Reaction Test for eHealth-Based Opioid Response Assessment in Palliative Care. Poster presentation at 12th World Research Congress of the European Association for Palliative Care, Online.
• Flaucher, M., Nissen, M., Jäger, K., Titzmann, A., Pontones, C., Hübner, H.,... Eskofier, B. (2022). Smartphone-Based Colorimetric Analysis of Urine Test Strips for At-Home Prenatal Care. IEEE Journal of Translational Engineering in Health and Medicine, 10, 1-9. https://doi.org/10.1109/JTEHM.2022.3179147
• Froehlich, H., Bontridder, N., Petrovska-Delacreta, D., Glaab, E., Kluge, F., El Yacoubi, M.,... Klucken, J. (2022). Leveraging the Potential of Digital Technology for Better Individualized Treatment of Parkinson's Disease. Frontiers in Neurology, 13. https://doi.org/10.3389/fneur.2022.788427
• Gmelch, L.M., Böhme, S., Capito, K., Rupp, L., Richer, R., Sadeghi, M.,... Berking, M. (2022). EmpkinS - Empathokinästhetische Sensorik für Biofeedback bei Depression. In Proceedings of the Deutscher Psychotherapiekongress (DPK). Berlin.
• Gmelch, L.M., Capito, K., Rupp, L., Richer, R., Sadeghi, M., Eskofier, B.,... Böhme, S. (2022). EmpkinS: empatho-kinesthetic sensory systems for biofeedback in depression. In Proceedings of the EmpkinS: empatho-kinesthetic sensory systems for biofeedback in depression. Freiburg.
• Hagengruber, A., Leipscher, U., Eskofier, B., & Vogel, J. (2022). A New Labeling Approach for Proportional Electromyographic Control. Sensors, 22(4). https://doi.org/10.3390/s22041368
• Hecht, D., Pfahler, T., Ullmann, I., Altstidl, T.R., Amer, N., Jin, Y.,... Vossiek, M. (2022). In Vivo Skin-Type Classification Using Millimeter-Wave Near-Field Probe Spectroscopy. In Institute of Electrical and Electronics Engineers (IEEE) (Eds.), 2022 52nd European Microwave Conference. Milan, IT: Milan: Institute of Electrical and Electronics Engineers (IEEE).
• Herzer, L., Mücke, A., Richer, R., Albrecht, N.C., Heyder, M., Jäger, K.,... Eskofier, B. (2022). Influence of Sensor Position and Body Movements on Radar-Based Heart Rate Monitoring. In IEEE (Eds.), Proceedings of the 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). Ioannina, GR.
• Ibrahim, A., Flachenecker, F., Gaßner, H., Rothammer, V., Klucken, J., Eskofier, B., & Kluge, F. (2022). Short inertial sensor-based gait tests reflect perceived state fatigue in multiple sclerosis. Multiple Sclerosis and Related Disorders, 58. https://doi.org/10.1016/j.msard.2022.103519
• Jäger, K., Nissen, M., Richer, R., Rahm, S., Titzmann, A., Fasching, P.,... Leutheuser, H. (2022). Machine Learning-based Detection of In-Utero Fetal Presentation from Non-Invasive Fetal ECG. In IEEE (Eds.), Proceedings of the 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). Ioannina, GR.
• Knitza, J., Janousek, L., Kluge, F., Von Der Decken, C.B., Kleinert, S., Vorbrueggen, W.,... Bartz-Bazzanella, P. (2022). Machine learning-based improvement of an online rheumatology referral and triage system. Frontiers in Medicine, 9. https://doi.org/10.3389/fmed.2022.954056
• Krauß, D., Richer, R., Küderle, A., Beilner, J., Rohleder, N., & Eskofier, B. (2022, October). Benchmarking of Sleep/Wake Detection Algorithms on a Large Cohort using Actigraphy, HRV, and Respiration Information. Poster presentation at IEEE-EMBS International Conference on Biomedical and Health Informatics, Ioaninna, GR.
• Krauß, D., Richer, R., Küderle, A., Rohleder, N., & Eskofier, B. (2022, September). Towards Integration of Sleep Quality in Sports Monitoring – Improving Wearable Sleep Detection Algorithms through Respiratory Information. Paper presentation at 13th World Congress of Performance Analysis of Sport 2022 & 13th International Symposium on Computer Science in Sport 2022, Wien, AT.
• Küderle, A., Roth, N., Richer, R., & Eskofier, B. (2022). imucal - A Python library to calibrate 6 DOF IMUs. Journal of Open Source Software, 7, 4338. https://doi.org/10.21105/joss.04338
• Küderle, A., Roth, N., Zlatanovic, J., Zrenner, M., Eskofier, B., & Kluge, F. (2022). The placement of foot-mounted IMU sensors does affect the accuracy of spatial parameters during regular walking. PLoS ONE, 17(6). https://doi.org/10.1371/journal.pone.0269567
• Link, J., Perst, T., Stöve, M., & Eskofier, B. (2022). Wearable Sensors for Activity Recognition in Ultimate Frisbee Using Convolutional Neural Networks and Transfer Learning. Sensors, 22, 2560. https://doi.org/10.3390/s22072560
• Link, J., Schwinn, L., Pulsmeyer, F., Kautz, T., & Eskofier, B. (2022). xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning. Sensors, 22(21). https://doi.org/10.3390/s22218474
• Lu, H., Yip, J., Steigleder, T., Grießhammer, S., Heckel, M., Jami, N.V.S.J.,... Kölpin, A. (2022). A Lightweight Robust Approach for Automatic Heart Murmurs and Clinical Outcomes Classification from Phonocardiogram Recordings. In 2022 Computing in Cardiology (CinC). Tampere, FI: New York City: IEEE.
• Löffler, C., Reeb, L., Dzibela, D., Marzilger, R., Witt, N., Eskofier, B., & Mutschler, C. (2022). Deep Siamese Metric Learning: A Highly Scalable Approach to Searching Unordered Sets of Trajectories. ACM Transactions on Intelligent Systems and Technology, 13(1). https://doi.org/10.1145/3465057
• Maier, J., Nitschke, M., Choi, J.H., Gold, G., Fahrig, R., Eskofier, B., & Maier, A. (2022). Rigid and Non-Rigid Motion Compensation in Weight-Bearing CBCT of the Knee Using Simulated Inertial Measurements. IEEE Transactions on Biomedical Engineering, 69(5), 1608-1619. https://doi.org/10.1109/TBME.2021.3123673
• Mehringer, W., Wirth, M., Roth, D., Michelson, G., & Eskofier, B. (2022). Stereopsis Only: Validation of a Monocular Depth Cues Reduced Gamified Virtual Reality with Reaction Time Measurement. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/TVCG.2022.3150486
• Moradi, H., Roth, N., Seifer, A.-K., & Eskofier, B. (2022). Detection of distorted gait and wearing-off phenomenon in Parkinson's disease patients during Levodopa therapy. 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). Ioannina, GR: NEW YORK: IEEE.
• Müller, V., Richer, R., Henrich, L., Berger, L., Gelardi, A., Jäger, K.,... Rohleder, N. (2022). The Stroop Competition: A Social-Evaluative Stroop Test for Acute Stress Induction. In 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) (Eds.), Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). Ioannina, GR.
• Müller, V., Richer, R., Jäger, K., Henrich, L., Berger, L., Gelardi, A.,... Rohleder, N. (2022, June). The Stroop Competition: A Social-Evaluative Stroop Test For Acute Stress Induction. Poster presentation at 79th Annual Scientific Meeting of the American Psychosomatic Society, Long Beach, CA, US.
• Nissen, M., Slim, S., Jäger, K., Flaucher, M., Hübner, H., Danzberger, N.,... Eskofier, B. (2022). Heart Rate Measurement Accuracy of Fitbit Charge 4 and Samsung Galaxy Watch Active2: Device Evaluation Study. JMIR Formative Research, 6, e33635. https://doi.org/10.2196/33635
• Nitschke, M., Marzilger, R., Leyendecker, S., Eskofier, B., & Koelewijn, A. (2022). Optical motion capturing of change of direction motions reconstructed with inverse kinematics and dynamics and optimal control simulation. Zenodo.
• Ollenschläger, M., Küderle, A., Mehringer, W., Seifer, A.-K., Winkler, J., Gaßner, H.,... Kluge, F. (2022). MaD GUI: An Open-Source Python Package for Annotation and Analysis of Time-Series Data. Sensors, 22(15). https://doi.org/10.3390/s22155849
• Ollenschläger, M., Müller-Schulz, M., Püllen, R., Möller, C., Klucken, J., Eskofier, B., & Kluge, F. (2022). 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). European Geriatric Medicine. https://doi.org/10.1007/s41999-022-00646-0
• Ollenschläger, M., Müller-Schulz, M., Püllen, R., Möller, C., Klucken, J., Eskofier, B., & Kluge, F. (2022). Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards? European Geriatric Medicine. https://doi.org/10.1007/s41999-022-00629-1
• Qiu, J., Oppelt, M., Nissen, M., Anneken, L., Breininger, K., & Eskofier, B. (2022). 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). Glasgow, Scotland, GB.
• Regensburger, M., Spatz, I., Ollenschläger, M., Martindale, C., Lindeburg, P., Kohl, Z.,... Gaßner, H. (2022). Inertial Gait Sensors to Measure Mobility and Functioning in Hereditary Spastic Paraplegia A Cross-sectional Multicenter Clinical Study. Neurology, 99(10), E1079-E1089. https://doi.org/10.1212/WNL.0000000000200819
• Richer, R., Koch, V., Küderle, A., Müller, V., Wirth, V., Stamminger, M.,... Eskofier, B. (2022, July). Detection of Acute Psychosocial Stress from Body Movements using Machine Learning. Poster presentation at 79th Annual Scientific Meeting of the American Psychosomatic Society, Long Beach, CA, US.
• Richer, R., Zenkner, J.J., Küderle, A., Rohleder, N., & Eskofier, B. (2022, July). Exploring the Cold Face Test as a Mechanism for Reducing Acute Psychosocial Stress Responses. Paper presentation at 79th Annual Scientific Meeting of the American Psychosomatic Society, Long Beach, CA, US.
• Richer, R., Zenkner, J.J., Küderle, A., Rohleder, N., & Eskofier, B. (2022). Vagus activation by Cold Face Test reduces acute psychosocial stress responses. Scientific Reports, 12. https://doi.org/10.1038/s41598-022-23222-9
• Rodrigues, V.F., Antunes, R.S., Seewald, L.A., Bazo, R., dos Reis, E.S., dos Santos, U.J.,... Fahrig, R. (2022). A multi-sensor architecture combining human pose estimation and real-time location systems for workflow monitoring on hybrid operating suites. Future Generation Computer Systems-The International Journal of Grid Computing Theory Methods and Applications, 135, 283-298. https://doi.org/10.1016/j.future.2022.05.006
• Rohleder, N., Richer, R., Koch, V., Küderle, A., Müller, V., Wirth, V.,... Eskofier, B. (2022, July). Effect of Acute Psychosocial Stress on Body Movements. Paper presentation at 79th Annual Scientific Meeting of the American Psychosomatic Society, Long Beach, CA, US.
• Roth, N., Ullrich, M., Küderle, A., Gladow, T., Marxreiter, F., Gaßner, H.,... Eskofier, B. (2022). Real-World Stair Ambulation Characteristics Differ Between Prospective Fallers and Non-Fallers in Parkinson’s Disease. IEEE Journal of Biomedical and Health Informatics, 1-9. https://doi.org/10.1109/JBHI.2022.3186766
• Rupp, L., Keinert, M., Böhme, S., Gmelch, L.M., Streit, H., Schuller, B.W.,... Berking, M. (2022). 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. Poster presentation at Deutscher Psychotherapie Kongress, Berlin.
• Schmidt, L.M., Brosig, J., Plinge, A., Eskofier, B., & Mutschler, C. (2022). An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility. In IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC (pp. 1342-1349). Macau, CHN: Institute of Electrical and Electronics Engineers Inc..
• Schmidt, L.M., Rietsch, S., Plinge, A., Eskofier, B., & Mutschler, C. (2022). How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies. In IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC (pp. 1913-1920). Macau, CHN: Institute of Electrical and Electronics Engineers Inc..
• Schwinn, L., Bungert, L., Nguyen, A., Raab, R., Pulsmeyer, F., Precup, D.,... Zanca, D. (2022). Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification. In PMLR (Eds.), 162 (pp. 19434--19449). Baltimore, USA.
• Scott, K., Bonci, T., Salis, F., Alcock, L., Buckley, E., Gazit, E.,... Mazza, C. (2022). Design and validation of a multi-task, multi-context protocol for real-world gait simulation. Journal of neuroEngineering and rehabilitation, 19(1). https://doi.org/10.1186/s12984-022-01116-1
• Souza de Oliveira, D., Casolo, A., Balshaw, T.G., Maeo, S., Lanza, M.B., Martin, N.R.W.,... Del Vecchio, A. (2022). Neural decoding from surface high-density EMG signals: influence of anatomy and synchronization on the number of identified motor units. Journal of Neural Engineering, 19(4). https://doi.org/10.1088/1741-2552/ac823d
• Stern, A.D., Brönneke, J., Debatin, J.F., Hagen, J., Matthies, H., Patel, S.,... Goldsack, J.C. (2022). Advancing digital health applications: priorities for innovation in real-world evidence generation. The Lancet Digital Health, 4(3), e200-e206. https://doi.org/10.1016/S2589-7500(21)00292-2
• Stöve, M., Wirth, M., Farlock, R., Antunovic, A., Müller, V., & Eskofier, B. (2022). Eye Tracking-Based Stress Classification of Athletes in Virtual Reality. Proceedings of the ACM on Computer Graphics and Interactive Techniques, 5, 1-17. https://doi.org/10.1145/3530796
• Truong, M.T., Nwosu, O.B., Gaytan Torres, M.E., Segura Vargas, M.P., Seifer, A.-K., Nitschke, M.,... Morf, H. (2022). A Yoga Exercise App Designed for Patients With Axial Spondylarthritis: Development and User Experience Study. JMIR Formative Research, 6(6), e34566. https://doi.org/10.2196/34566
• Ullrich, M., Roth, N., Küderle, A., Richer, R., Gladow, T., Gaßner, H.,... Kluge, F. (2022). Fall Risk Prediction in Parkinson’s Disease Using Real-World Inertial Sensor Gait Data. IEEE Transactions on Neural Systems and Rehabilitation Engineering. https://doi.org/10.1109/jbhi.2022.3215921
• Vorberg, L., Pflüger, S., Richer, R., Jäger, K., Küderle, A., Nassall, K.,... Rohleder, N. (2022, June). Prediction of Stress Coping Capabilities from Nightly Heart Rate Patterns Using Machine Learning. Poster presentation at 79th Annual Scientific Meeting of the American Psychosomatic Society, Long Beach, CA, US.
• Weber, N., Lennartz, R., Knitza, J., Bayat, S., Sadeghi, M., Ibrahim, A.,... Kleyer, A. (2022). AB1528-HPR FULL BODY HAPTIC BODYSUIT - AN INSTRUMENT TO MEASURE THE RANGE AND SPEED OF MOTION IN PATIENTS WITH AXIAL SPONDYLOARTHRITIS (axSpA) - PRELIMINARY RESULTS. Annals of the Rheumatic Diseases, 81, 1866.2-1867. https://doi.org/10.1136/annrheumdis-2022-eular.3069
• Wehbi, M., Luge, D., Hamann, T., Barth, J., Kaempf, P., Zanca, D., & Eskofier, B. (2022). Surface-Free Multi-Stroke Trajectory Reconstruction and Word Recognition Using an IMU-Enhanced Digital Pen. Sensors, 22, 5347. https://doi.org/10.3390/s22145347
• Wirth, M., Mehringer, W., Gradl, S., & Eskofier, B. (2022). Extended Realities (XRs): How Immersive Technologies Influence Assessment and Training for Extreme Environments. In Tobias Cibis, Dr. Carolyn McGregor AM (Eds.), Engineering and Medicine in Extreme Environments. (pp. 309-335). Cham: Springer.
• Yip, J., Steigleder, T., Heckel, M., Eskofier, B., & Ostgathe, C. (2022). Die Beschreibung des Gesundheitszustandes anhand von Veränderungen in Bewegungsmustern von Palliativpatient:innen – Eine explorative Erfassung. In Zeitschrift für Palliativmedizin (S. e22-e23). Bremen: Georg Thieme Verlag.
• Zrenner, M., Stöve, M., Franklin, S., Kumar, B., Jensen, U., & Eskofier, B. (2022). 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. (pp. 160-164). Springer, Cham.
• Zürl, M., Stoll, P., Brehm, I., Raab, R., Zanca, D., Kabri, S.,... Eskofier, B. (2022). Automated Video-Based Analysis Framework for Behavior Monitoring of Individual Animals in Zoos Using Deep Learning—A Study on Polar Bears. Animals, 12, 692. https://doi.org/10.3390/ani12060692

2021

• Abdullahi, I., Dehling, T., Kluge, F., Eskofier, B., & Sunyaev, A. (2021). 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). Kauai, Hawaii, USA, US: ScholarSpace.
• Abdullahi, I., Dehling, T., Kluge, F., Geck, J., Sunyaev, A., & Eskofier, B. (2021). Security Engineering of Patient-Centered Health Care Information Systems in Peer-to-Peer Environments: Systematic Review. Journal of Medical Internet Research, 23(J Med Internet Res 2021), e24460. https://doi.org/10.2196/24460
• Dib, W., Ghanem, K., Nedil, M., Ababou, A., & Eskofier, B. (2021). Identification of individuals through a new Gait Recognition Method. In 2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings (pp. 1813-1814). Singapore, SG: Institute of Electrical and Electronics Engineers Inc..
• Dorschky, E., Nitschke, M., van den Bogert, A.J., Koelewijn, A., & Eskofier, B. (2021). Machine Learning from Biomechanical SimulaIons for an "in the Wild" Movement Analysis. Paper presentation at 6th International Congress on Complex Systems in Sports (ICCSS), Mainz, Germany.
• Dos Reis, E.S., Seewald, L.A., Antunes, R.S., Rodrigues, V.F., Righi, R.D.R., Da Costa, C.A.,... Fahrig, R. (2021). Monocular multi-person pose estimation: A survey. Pattern Recognition, 118. https://doi.org/10.1016/j.patcog.2021.108046
• Dumbach, P., Liu, R., Jalowski, M., & Eskofier, B. (2021). The Adoption Of Artificial Intelligence In SMEs - A Cross-National Comparison In German And Chinese Healthcare. In Forbig P., Hinkelmann K., Kirikova M., Lantow B., Møller C., Morichetta A., Plebani P., Re B., Sandkuhl K., Seigerroth U. (Eds.), Joint Proceedings of the BIR 2021 Workshops and Doctoral Consortium co-located with 20th International Conference on Perspectives in Business Informatics Research (BIR 2021) (pp. 84 - 98). Vienna, Austria (fully-virtual conference), AT: CEUR Workshop Proceedings.
• Dörflinger, L., Nissen, M., Jäger, K., Wirth, M., Titzmann, A., Pontones, C.,... Eskofier, B. (2021). Digital Maternity Records: Motivation, Acceptance, Requirements, Usability and Prototype Evaluation of an Interface for Physicians and Midwives. In Mensch und Computer 2021. Ingolstadt, DE.
• Hagengruber, A., Leipscher, U., Eskofier, B., & Vogel, J. (2021). Electromyography for Teleoperated Tasks in Weightlessness. IEEE Transactions on Human-Machine Systems. https://doi.org/10.1109/THMS.2020.3047975
• Happold, J., Richer, R., Küderle, A., Gaßner, H., Klucken, J., Eskofier, B., & Kluge, F. (2021). Evaluation of Orthostatic Reactions in Real-World Environments Using Wearable Sensors. In IEEE (Eds.), Proceedings of the 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
• Jakob, V., Küderle, A., Klucken, J., Eskofier, B., Winkler, J., Winterholler, M.,... Kluge, F. (2021). Validation of a sensor-based gait analysis system with a gold-standard motion capture system in patients with parkinson’s disease. Sensors, 21(22). https://doi.org/10.3390/s21227680
• Kamal Mallick, M., Biser, S., Haridas, A., Umesh, V., Toensing, O., Abdullahi, I.,... Steigleder, T. (2021). Improving Dyspnoea Symptom Control of Patients in Palliative Care Using a Smart Patch-A Proof of Concept Study. Frontiers in Digital Health, 3(765867). https://doi.org/10.3389/fdgth.2021.765867
• Kluge, F., Del Din, S., Cereatti, A., Gaßner, H., Hansen, C., Helbostad, J.L.,... Mazza, C. (2021). Consensus based framework for digital mobility monitoring. PLoS ONE, 16(8). https://doi.org/10.1371/journal.pone.0256541
• Laut, P., Dumbach, P., & Eskofier, B. (2021). Integration of Artificial Intelligence in the Organizational Adoption – A Configurational Perspective. In Association for Information Systems (Eds.), ICIS 2021 Proceedings (pp. 2). Austin, US: AIS eLibrary.
• Link, J., Guillaume, S., & Eskofier, B. (2021). Experimental validation of real-time ski jumping tracking system based on wearable sensors. Sensors, 21(23). https://doi.org/10.3390/s21237780
• Lukas, C., Eskofier, B., & Berking, M. (2021). A gamified smartphone-based intervention for depression: Randomized Controlled Pilot Trial. JMIR Mental Health, 8(7). https://doi.org/10.2196/16643
• Maier, J., Maier, A., Eskofier, B., Fahrig, R., & Choi, J.-H. (2021). 3D Non-Rigid Alignment of Low-Dose Scans Allows to Correct for Saturation in Lower Extremity Cone-Beam CT. IEEE Access, 9, 71821-71831. https://doi.org/10.1109/ACCESS.2021.3079368
• Maier, J., Nitschke, M., Choi, J.H., Gold, G., Fahrig, R., Eskofier, B., & Maier, A. (2021). Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 336-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Martindale, C., Christlein, V., Klumpp, P., & Eskofier, B. (2021). Wearables-based multi-task gait and activity segmentation using recurrent neural networks. Neurocomputing, 432, 250-261. https://doi.org/10.1016/j.neucom.2020.08.079
• Mazza, C., Alcock, L., Aminian, K., Becker, C., Bertuletti, S., Bonci, T.,... Rochester, L. (2021). Technical validation of real-world monitoring of gait: a multicentric observational study. BMJ Open, 11(12). https://doi.org/10.1136/bmjopen-2021-050785
• Mehringer, W., Wirth, M., Risch, F., Roth, D., Michelson, G., Michelson, G., & Eskofier, B. (2021). Hess Screen Revised: How Eye Tracking and Virtual Reality change Strabismus Assessment. In IEEE (Eds.), 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 2058 - 2062).
• Nann, M., Haslacher, D., Colucci, A., Eskofier, B., Von Tscharner, V., & Soekadar, S.R. (2021). Heart rate variability predicts decline in sensorimotor rhythm control. Journal of Neural Engineering, 18(4). https://doi.org/10.1088/1741-2552/ac1177
• Nguyen, A., Foerstel, S., Kittler, T., Kurzyukov, A., Schwinn, L., Zanca, D.,... Eskofier, B. (2021). System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data. IEEE Access. https://doi.org/10.1109/ACCESS.2021.3106791
• Nitschke, M., Dorschky, E., Eskofier, B., Koelewijn, A., & van den Bogert, A.J. (2021, July). Trajectory Optimization of a 3D Musculoskeletal Model with Inertial Sensors. Paper presentation at XXVIII Congress of the International Society of Biomechanics (ISB), Online.
• Pasluosta, C.F., Popovic, M.R., Eskofier, B., & Stieglitz, T. (2021). Editorial: Wearable and Implantable Technologies in the Rehabilitation of Patients With Sensory Impairments. Frontiers in Neuroscience, 15. https://doi.org/10.3389/fnins.2021.740263
• Richer, R., Küderle, A., Dörr, J., Rohleder, N., & Eskofier, B. (2021). Assessing the Influence of the Inner Clock on the Cortisol Awakening Response and Pre-Awakening Movement. In IEEE (Eds.), 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) (pp. 1-4). Athens, GR.
• Richer, R., Küderle, A., Ullrich, M., Rohleder, N., & Eskofier, B. (2021). BioPsyKit: A Python package for the analysis of biopsychological data. Journal of Open Source Software, 6, 3702. https://doi.org/10.21105/joss.03702
• Roth, N., Küderle, A., Prossel, D., Gaßner, H., Eskofier, B., & Kluge, F. (2021). An inertial sensor-based gait analysis pipeline for the assessment of real-world stair ambulation parameters. Sensors, 21(19). https://doi.org/10.3390/s21196559
• Roth, N., Küderle, A., Ullrich, M., Gladow, T., Marxreiter, F., Klucken, J.,... Kluge, F. (2021). Hidden Markov Model based stride segmentation on unsupervised free-living gait data in Parkinson’s disease patients. Journal of neuroEngineering and rehabilitation, 18(1). https://doi.org/10.1186/s12984-021-00883-7
• Roth, N., Wieland, G.P., Küderle, A., Ullrich, M., Gladow, T., Marxreiter, F.,... Kluge, F. (2021). Do We Walk Differently at Home? A Context-Aware Gait Analysis System in Continuous Real-World Environments. In Proceedings of the 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
• Schleicher, R., Nitschke, M., Martschinke, J., Stamminger, M., Eskofier, B., Klucken, J., & Koelewijn, A. (2021). BASH: Biomechanical Animated Skinned Human for Visualization of Kinematics and Muscle Activity. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP (pp. 25-36). Online.
• Scholl, C., Tobola, A., Ludwig, K., Zanca, D., & Eskofier, B. (2021). A smart capacitive sensor skin with embedded data quality indication for enhanced safety in human–robot interaction. Sensors, 21(21). https://doi.org/10.3390/s21217210
• Schwinn, L., Nguyen, A., Raab, R., Bungert, L., Tenbrinck, D., Zanca, D.,... Eskofier, B. (2021). Identifying untrustworthy predictions in neural networks by geometric gradient analysis. In Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI). Online.
• Schwinn, L., Nguyen, A., Raab, R., Zanca, D., Eskofier, B., Tenbrinck, D., & Burger, M. (2021). Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks. In Proceedings of the International Joint Conference on Neural Networks (IJCNN). Online.
• Schwinn, L., Raab, R., Nguyen, A., Zanca, D., & Eskofier, B. (2021). Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks.
• Stöve, M., Schuldhaus, D., Gamp, A., Zwick, C., & Eskofier, B. (2021). From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning. Sensors, 21, 3071. https://doi.org/10.3390/s21093071
• Timotius, I., Bieler, L., Couillard-Despres, S., Sandner, B., Garcia-Ovejero, D., Labombarda, F.,... Puttagunta, R. (2021). Combination of defined catwalk gait parameters for predictive locomotion recovery in experimental spinal cord injury rat models. eNeuro, 8(2), 1-14. https://doi.org/10.1523/ENEURO.0497-20.2021
• Ullrich, M., Küderle, A., Reggi, L., Cereatti, A., Eskofier, B., & Kluge, F. (2021). Machine learning-based distinction of left and right foot contacts in lower back inertial sensor gait data. In Proceedings of the 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE.
• Ullrich, M., Mücke, A., Küderle, A., Roth, N., Gladow, T., Gaßner, H.,... Kluge, F. (2021). Detection of unsupervised standardized gait tests from real-world inertial sensor data in Parkinson’s disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29, 2103-2111. https://doi.org/10.1109/TNSRE.2021.3119390
• Wehbi, M., Hamann, T., Barth, J., Kaempf, P., Zanca, D., & Eskofier, B. (2021). Towards an IMU-based Pen Online Handwriting Recognizer. In Proceedings of the International Conference on Document Analysis and Recognition ICDAR 2021 (pp. 289-303). Lausanne, CH: Springer Link.
• Wirth, M., Gradl, S., Prosinger, G., Kluge, F., Roth, D., & Eskofier, B. (2021). The impact of avatar appearance, perspective and context on gait variability and user experience in virtual reality. In Proceedings - 2021 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2021 (pp. 326-335). Virtual, Lisboa, PRT: Institute of Electrical and Electronics Engineers Inc..
• Wirth, M., Kohl, S., Gradl, S., Farlock, R., Roth, D., & Eskofier, B. (2021). Assessing visual exploratory activity of athletes in virtual reality using head motion characteristics. Sensors, 21(11). https://doi.org/10.3390/s21113728
• Zrenner, M., Heyde, C., Duemler, B., Dykman, S., Roecker, K., & Eskofier, B. (2021). Retrospective Analysis of Training and Its Response in Marathon Finishers Based on Fitness App Data. Frontiers in Physiology, 12. https://doi.org/10.3389/fphys.2021.669884
• da Silva, D.B., Schmidt, D., da Costa, C.A., da Rosa Righi, R., & Eskofier, B. (2021). DeepSigns: A predictive model based on Deep Learning for the early detection of patient health deterioration. Expert Systems With Applications, 165. https://doi.org/10.1016/j.eswa.2020.113905

2020

• Auferoth, F., Eskofier, B., Gerber, L., Grimm, V., Richer, R., & Rohleder, N. (2020). Tracking and Teamwork Performance.
• Bazo, R., Reis, E., Adams Seewald, L., Facco Rodrigues, V., Andre da Costa, C., Gonzaga, L.,... Horz, T. (2020). Baptizo: a sensor fusion based model for tracking the identity of human poses. Information Fusion. https://doi.org/10.1016/j.inffus.2020.03.011
• Ceron, J.D., Kluge, F., Küderle, A., Eskofier, B., & López, D.M. (2020). Simultaneous indoor pedestrian localization and house mapping based on inertial measurement unit and bluetooth low-energy beacon data. Sensors, 20(17), 1-21. https://doi.org/10.3390/s20174742
• Ceron, J.D., Martindale, C., López, D.M., Kluge, F., & Eskofier, B. (2020). Indoor Trajectory Reconstruction of Walking, Jogging, and Running Activities Based on a Foot-Mounted Inertial Pedestrian Dead-Reckoning System. Sensors, 20(3), 651. https://doi.org/10.3390/s20030651
• Dorschky, E., Nitschke, M., Martindale, C., van den Bogert, A.J., Koelewijn, A., & Eskofier, B. (2020). CNN-Based Estimation of Sagittal Plane Walking and Running Biomechanics From Measured and Simulated Inertial Sensor Data. Frontiers in Bioengineering and Biotechnology, 8(604), 1-14. https://doi.org/10.3389/fbioe.2020.00604
• Dumbach, P., Aly, A., Zrenner, M., & Eskofier, B. (2020). Exploration of Process Mining Opportunities In Educational Software Engineering - The GitLab Analyser. In Anna N. Rafferty, Jacob Whitehill, Cristobal Romero, Violetta Cavalli-Sforza (Eds.), Proceedings of the 13th International Conference on Educational Data Mining (pp. 601 - 604). Ifrane, Morocco (Fully Virtual Conference), MA.
• Fischer, S., Ullrich, M., Küderle, A., Gaßner, H., Klucken, J., Eskofier, B., & Kluge, F. (2020). Automatic clinical gait test detection from inertial sensor data. In Proceedings of the 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 789 - 792). Montreal, CA.
• Flachenecker, F., Gaßner, H., Hannik, J., Lee, D.-H., Flachenecker, P., Winkler, J.,... Klucken, J. (2020). Objective sensor-based gait measures reflect motor impairment in multiple sclerosis patients: Reliability and clinical validation of a wearable sensor device. Multiple Sclerosis and Related Disorders, 39. https://doi.org/10.1016/j.msard.2019.101903
• Gaßner, H., Jensen, D., Marxreiter, F., Kletsch, A., Bohlen, S., Schubert, R.,... Kohl, Z. (2020). Correction to: Gait variability as digital biomarker of disease severity in Huntington’s disease (Journal of Neurology, (2020), 10.1007/s00415-020-09725-3). Journal of Neurology. https://doi.org/10.1007/s00415-020-09789-1
• Gaßner, H., Jensen, D., Marxreiter, F., Kletsch, A., Bohlen, S., Schubert, R.,... Kohl, Z. (2020). Gait variability as digital biomarker of disease severity in Huntington’s disease. Journal of Neurology, 267(6), 1594-1601. https://doi.org/10.1007/s00415-020-09725-3
• Gaßner, H., Sanders, P., Dietrich, A., Marxreiter, F., Eskofier, B., Winkler, J., & Klucken, J. (2020). Clinical Relevance of Standardized Mobile Gait Tests. Reliability Analysis Between Gait Recordings at Hospital and Home in Parkinson's Disease: A Pilot Study. Journal of Parkinson's Disease, 10(4), 1763-1773. https://doi.org/10.3233/JPD-202129
• Ibrahim, A., Küderle, A., Gaßner, H., Klucken, J., Eskofier, B., & Kluge, F. (2020). Inertial sensor-based gait parameters reflect patient-reported fatigue in multiple sclerosis. Journal of neuroEngineering and rehabilitation, 17(1). https://doi.org/10.1186/s12984-020-00798-9
• Ivanović, M.D., Hannink, J., Ring, M., Baronio, F., Vukčević, V., Hadžievski, L., & Eskofier, B. (2020). Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design. Artificial Intelligence in Medicine, 110. https://doi.org/10.1016/j.artmed.2020.101963
• Kaieski, N., da Costa, C.A., da Rosa Righi, R., Lora, P.S., & Eskofier, B. (2020). Application of artificial intelligence methods in vital signs analysis of hospitalized patients: A systematic literature review. Applied Soft Computing, 96. https://doi.org/10.1016/j.asoc.2020.106612
• Koch, R., Pfeiffer, N., Lang, N., Struck, M., Amft, O., Eskofier, B., & Wittenberg, T. (2020). Evaluation of HRV estimation algorithms from PPG data using neural networks. Current Directions in Biomedical Engineering, 6(3). https://doi.org/10.1515/cdbme-2020-3130
• Köferl, F., Link, J., & Eskofier, B. (2020). Application of SORT on Multi-Object Tracking and Segmentation. In Proceedings of the Conference on Computer Vision and Pattern Recognition; 5th BMTT MOTChallenge Workshop: Multi-Object Tracking and Segmentation. Seattle, WA, USA (Virtual).
• Maier, J., Nitschke, M., Choi, J.-H., Gold, G., Fahrig, R., Eskofier, B., & Maier, A. (2020). 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 (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. (pp. 14-23).
• Marxreiter, F., Buttler, U., Gaßner, H., Gandor, F., Gladow, T., Eskofier, B.,... Klucken, J. (2020). The Use of Digital Technology and Media in German Parkinson's Disease Patients. Journal of Parkinson's Disease, 10(2), 717-727. https://doi.org/10.3233/JPD-191698
• Mehringer, W., Wirth, M., Gradl, S., Durner, L., Ring, M., Laudanski, A.F.,... Michelson, G. (2020). An Image-Based Method for Measuring Strabismus in Virtual Reality. In IEEE (Eds.), 2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) (pp. 5-12). Recife, BR.
• Nguyen, A., Chatterjee, S., Weinzierl, S., Schwinn, L., Matzner, M., & Eskofier, B. (2020). Time matters: Time-aware LSTMs for predictive business process monitoring. In Proceedings of the ICPM 2020 International Workshops (pp. 1-12). Padua, IT.
• Nitschke, M., Dorschky, E., Heinrich, D., Schlarb, H., Eskofier, B., Koelewijn, A., & van den Bogert, A.J. (2020). Efficient trajectory optimization for curved running using a 3D musculoskeletal model with implicit dynamics. Scientific Reports. https://doi.org/10.1038/s41598-020-73856-w
• Orozco-Arroyave, J.R., Vasquez Correa, J., Klumpp, P., Perez Toro, P.A., Escobar-Grisales, D., Roth, N.,... Nöth, E. (2020). Apkinson: the smartphone application for telemonitoring Parkinson's patients through speech, gait and hands movement. Neurodegenerative Disease Management. https://doi.org/10.2217/nmt-2019-0037
• Ott, F., Wehbi, M., Hamann, T., Barth, J., Eskofier, B., & Mutschler, C. (2020). The OnHW Dataset: Online Handwriting Recognition from IMU-Enhanced Ballpoint Pens with Machine Learning. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4, 1-20. https://doi.org/10.1145/3411842
• Raccagni, C., Sidoroff, V., Goebel, G., Granata, R., Leys, F., Klucken, J.,... Fanciulli, A. (2020). The footprint of orthostatic hypotension in parkinsonian syndromes. Parkinsonism & Related Disorders. https://doi.org/10.1016/j.parkreldis.2020.06.029
• Richer, R., Zhao, N., Eskofier, B., & Paradiso, J.A. (2020). Exploring Smart Agents for the Interaction with Multimodal Mediated Environments. Multimodal Technologies and Interaction, 4(2). https://doi.org/10.3390/mti4020027
• Rico-Olarte, C., López, D.M., Becker, L., & Eskofier, B. (2020). Towards Classifying Cognitive Performance by Sensing Electrodermal Activity in Children With Specific Learning Disorders. IEEE Access, 8, 196187-196196. https://doi.org/10.1109/ACCESS.2020.3033769
• Rüthlein, M., Köferl, F., Mehringer, W., & Eskofier, B. (2020). Interactive Segmentation of RGB-D Indoor Scenes using Deep Learning. In Proceedings of the International Conference on Machine Learning; 2nd ICML 2020 Workshop on Human in the Loop Learning. Virtual Conference.
• Sidoroff, V., Raccagni, C., Kaindlstorfer, C., Eschlboeck, S., Fanciulli, A., Granata, R.,... Gaßner, H. (2020). Characterization of gait variability in multiple system atrophy and Parkinson's disease. Journal of Neurology. https://doi.org/10.1007/s00415-020-10355-y
• Sternemann, U., Suchantke, I., Schmidt, K.-G., Höfner, P., Wagner, D., Ollenschläger, M.,... Steigleder, T. (2020, August). Entwicklung einer Applikation zum Home-Monitoring des Gesundheitszustandes von Palliativpatienten - eine Proof-of-Concept-Studie. Poster presentation at 13. DGP Kongress Deutsche Gesellschaft für Palliativmedizin, Wiesbaden, DE.
• Tietsch, M., Muaremi, A., Clay, I., Kluge, F., Hoefling, H., Ullrich, M.,... Müller, A. (2020). Robust Step Detection from Different Waist-Worn Sensor Positions: Implications for Clinical Studies. Digital Biomarkers, 4(1), 50-58. https://doi.org/10.1159/000511611
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