Stiftungs-Juniorprofessur für Sportinformatik (Digital Sports)

Reallocation / Closing: 01/03/2017
Address:
Haberstraße 2
91058 Erlangen


Related Project(s)


(E-Home-Center):
MotionLab@Home: Multimodal movement analysis system for therapy monitoring
Prof. Dr. Björn Eskofier
(01/10/2015 - 31/12/2016)



Publications

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Steib, S., Klamroth, S., Gaßner, H., Pasluosta, C.F., Eskofier, B., Winkler, J.,... Pfeifer, K. (2019). Exploring gait adaptations to perturbed and conventional treadmill training in Parkinson’s disease: Time-course, sustainability, and transfer. Human Movement Science. https://dx.doi.org/10.1016/j.humov.2019.01.007
Zrenner, M., Feldner, C., Jensen, U., Richer, R., Roth, N., & Eskofier, B. (2019). Evaluation of foot kinematics during endurance running on different surfaces in real-world environments.
Gaßner, H., Steib, S., Klamroth, S., Pasluosta, C.F., Adler, W., Eskofier, B.,... Klucken, J. (2019). Perturbation Treadmill Training Improves Clinical Characteristics of Gait and Balance in Parkinson's Disease. Journal of Parkinson's Disease, 9(2), 413-426. https://dx.doi.org/10.3233/JPD-181534
Zrenner, M., Gradl, S., Jensen, U., Ullrich, M., & Eskofier, B. (2018). Comparison of Different Algorithms for Calculating Velocity and Stride Length in Running Using Inertial Measurement Units. Sensors, 18(12). https://dx.doi.org/10.3390/s18124194
Wirth, M., Gradl, S., Poimann, D., Schaefke, H., Matlok, S., Koerger, H., & Eskofier, B. (2018). Assessment of Perceptual-Cognitive Abilities among Athletes in Virtual Environments: Exploring Interaction Concepts for Soccer Players. In ACM New York, NY, USA ©2018 (Eds.), Proceedings of the 2018 Designing Interactive Systems Conference (pp. 1013-1024). Hong Kong, HK: New York.
Timotius, I., Canneva, F., Minakaki, G., Pasluosta, C.F., Moceri, S., Casadei, N.,... Eskofier, B. (2018). Dynamic footprints of α-synucleinopathic mice recorded by CatWalk gait analysis. Data in Brief, 17, 189-193. https://dx.doi.org/10.1016/j.dib.2017.12.067
Hannink, J., Kautz, T., Pasluosta, C.F., Barth, J., Schülein, S., Gassmann, K.-G.,... Eskofier, B. (2018). Mobile Stride Length Estimation with Deep Convolutional Neural Networks. IEEE Journal of Biomedical and Health Informatics, 22(2), 354 - 362. https://dx.doi.org/10.1109/JBHI.2017.2679486
Timotius, I., Canneva, F., Minakaki, G., Pasluosta, C.F., Moceri, S., Casadei, N.,... Eskofier, B. (2018). Dynamic footprint based locomotion sway assessment in α-synucleinopathic mice using Fast Fourier Transform and Low Pass Filter. Journal of Neuroscience Methods, 296, 1-11. https://dx.doi.org/10.1016/j.jneumeth.2017.12.004
Mentl, K., Saffoury, R., & Maier, A. (2018). Abstract: Automatic Malignancy Estimation for Pulmonary Nodules from CT Images. In Informatik Aktuell (pp. 13-13). Erlangen.
Groh, B., Fritz, J., Deininger, M., Schwameder, H., & Eskofier, B. (2018). Unobtrusive and Wearable Landing Momentum Estimation in Ski Jumping with Inertial-Magnetic Sensors. In IEEE (Eds.), Proceedings of the 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN) (pp. 102-105). Las Vegas, USA.
Orlemann, T., Zenker, B., Reljic, D., Meyer, J., Oberlaender, J., Herrmann, H.J.,... Zopf, Y. (2018). Recording and Optimizing the Nutritional Behavior of oncological Patients by using a Smartphone App (OncoFood). (pp. S28-S29).
Tobola, A., Leutheuser, H., Pollak, M., Spies, P., Hofmann, C., Weigand, C.,... Fischer, G. (2018). Self-powered Multiparameter Health Sensor. IEEE Journal of Biomedical and Health Informatics, 22(1), 15-22.
Vasquez Correa, J., Arias Vergara, T., Rafael Orozco-Arroyave, J., Eskofier, B., Klucken, J., & Nöth, E. (2018). Multimodal assessment of Parkinson's disease: a deep learning approach. IEEE Journal of Biomedical and Health Informatics. https://dx.doi.org/10.1109/JBHI.2018.2866873
Kluge, F., Hannink, J., Pasluosta, C.F., Klucken, J., Gaßner, H., Gelse, K.,... Krinner, S. (2018). Pre-operative sensor-based gait parameters predict functional outcome after total knee arthroplasty. Gait & Posture, 66, 194-200. https://dx.doi.org/10.1016/j.gaitpost.2018.08.026
Gradl, S., Cibis, T., Lauber, J., Richer, R., Rybalko, R., Pfeiffer, N.,... Eskofier, B. (2017). Wearable Current-Based ECG Monitoring System with Non-Insulated Electrodes for Underwater Application. Applied Sciences, 7(12). https://dx.doi.org/10.3390/app7121277
Steib, S., Klamroth, S., Gaßner, H., Pasluosta, C.F., Eskofier, B., Winkler, J.,... Pfeifer, K. (2017). Perturbation during treadmill training improves dynamic balance and gait in Parkinson’s disease: A single-blind randomized controlled pilot trial. Neurorehabilitation and Neural Repair, 31(8), 758-768. https://dx.doi.org/10.1177/1545968317721976
Gelse, K., Knorz, S., Kluge, F., Hotfiel, T., Eskofier, B., & Krinner, S. (2017). „Natural Running“: Biomechanischer Vergleich von Vorfuß- oder Rückfußlauf. In Sports Orthopaedics and Traumatology (pp. 214-215). Berlin: Urban & Fischer.
Leutheuser, H., Heyde, C., Röcker, K., Gollhofer, A., & Eskofier, B. (2017). Reference-Free Adjustment of Respiratory Inductance Plethysmography for Measurements during Physical Exercise. IEEE Transactions on Biomedical Engineering. https://dx.doi.org/10.1109/TBME.2017.2675941
Knorz, S., Kluge, F., Gelse, K., Schulz-Drost, S., Hotfiel, T., Lochmann, M.,... Krinner, S. (2017). Three-Dimensional Biomechanical Analysis of Rearfoot and Forefoot Running. Orthopaedic Journal of Sports Medicine, 5(7). https://dx.doi.org/10.1177/2325967117719065
Groh, B., Fleckenstein, M., Kautz, T., & Eskofier, B. (2017). Classification and visualization of skateboard tricks using wearable sensors. Pervasive and Mobile Computing, 40, 42-55. https://dx.doi.org/10.1016/j.pmcj.2017.05.007


Publications in addition


Duits, R., Janssen, M.H.J., Hannink, J., & Sanguinetti, G.R. (2016). Locally Adaptive Frames in the Roto-Translation Group and Their Applications in Medical Imaging. Journal of Mathematical Imaging and Vision, 1-36. https://dx.doi.org/10.1007/s10851-016-0641-0

Last updated on 2019-24-04 at 18:28