Prof. Dr. Björn Eskofier

Organisation

Awards / Honours

Project lead

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→ HOOP: mHealth tOol for parkinsOn’s disease training and rehabilitation at Patient’s home Prof. Dr. Björn Eskofier (01/02/2018 - 31/01/2019)

→ Gait analysis in geriatrics using mobile sensor systems and machine learning for fall prediction Prof. Dr. Björn Eskofier; Prof. Dr. Jochen Klucken (15/01/2018 - 15/01/2021)

→ FallRiskPD: Fall risk detection for Parkinson's disease via intelligent gait analysis Prof. Dr. Björn Eskofier; Prof. Dr. Jochen Klucken; Prof. Dr. Jürgen Winkler (01/01/2018 - 31/12/2019)

→ BayMed-Sleep: Analysis of the effect of sleep coaching Prof. Dr. Björn Eskofier; Prof. Dr. Jochen Klucken (01/12/2017 - 30/09/2019)

→ Green Belt ML@Operations - Machine Learning for Specific Use Cases in Production and Quality Prof. Dr. Björn Eskofier; Prof. Dr. Nico Hanenkamp (01/11/2017 - 31/10/2019)

Project member

Other Research Activities

Publications (Download BibTeX)

1 of 17

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→ Amores, J., Richer, R., Zhao, N., Maes, P., & Eskofier, B. (2018). Promoting Relaxation Using Virtual Reality, Olfactory Interfaces and Wearable EEG. In IEEE (Eds.), 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN). Las Vegas, NV, US.

→ 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.

→ Haji Ghassemi, N., Hannink, J., Martindale, C., Gaßner, H., Müller, M., Klucken, J., & Eskofier, B. (2018). Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson’s Disease. Sensors.

→ Klamroth, S., Gaßner, H., Winkler, J., Eskofier, B., Klucken, J., Pfeifer, K., & Steib, S. (2018). Sensomotorisches Laufbandtraining in der Rehabilitation von Gangstörungen bei Patienten mit Morbus Parkinson. In Deutsche Rentenversicherung Bund (Eds.), 27. Rehabilitationswissenschaftliches Kolloquium: Rehabilitation bewegt! (pp. 356-357).

→ Maurer, M., Zrenner, M., Reynolds, D., Dümler, B., & Eskofier, B. (2018). Sleeve Based Knee Angle Calculation for Rehabilitation. In IEEE (Eds.), Proceedings of the 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN) (pp. 1-4). Las Vegas, Nevada, US.

→ Pasluosta, C.F., Hannink, J., Gaßner, H., von Tscharner, V., Winkler, J., Klucken, J., & Eskofier, B. (2018). Motor output complexity in Parkinson's disease during quiet standing and walking: Analysis of short-term correlations using the entropic half-life. Human movement science, 58, 185-194. https://dx.doi.org/10.1016/j.humov.2018.02.005

→ Stoffel Antunes, R., Adams Seewald, L., Facco Rodrigues, V., Andre da Costa, C., da Silveira Junior, L.G., da Rosa Righi, R.,... Campanatti, G. (2018). A Survey of Sensors in Healthcare Workflow Monitoring. ACM Computing Surveys, 51(2). https://dx.doi.org/10.1145/3177852

→ 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

→ 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

→ Wanner, P., Schmautz, T., Kluge, F., Eskofier, B., Pfeifer, K., & Steib, S. (2018). Unterschiede in der Sprunggelenksvariabilität beim Laufen zwischen Sportlern mit chronischer Instabilität und Copern. Paper presentation at 2. GAMMA Kongress, Hamburg, DE.