Dr.-Ing. Felix Kluge

Thomson Researcher ID: I-4234-2016
Scopus Author ID: 55904185600



Organisation


Stiftungs-Juniorprofessur für Sportinformatik (Digital Sports)
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)



Project lead


MOBILISE-D: Connecting digital mobility assessment to clinical outcomes for regulatory and clinical endorsement
Prof. Dr. Björn Eskofier; Dr.-Ing. Felix Kluge
(01/04/2019 - 31/03/2024)


Project member


MOBILISE-D: Connecting digital mobility assessment to clinical outcomes for regulatory and clinical endorsement
Prof. Dr. Björn Eskofier; Dr.-Ing. Felix Kluge
(01/04/2019 - 31/03/2024)

Information management system for automated quality assessment in radiotherapy
Prof. Dr. Björn Eskofier
(15/08/2016 - 14/08/2018)

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

EFIMoves: EFI Moves: Individualized Diagnosis and Treatment in motion
Prof. Dr. Jochen Klucken; Prof. Dr. Jürgen Winkler
(01/01/2014 - 31/12/2017)


Publications (Download BibTeX)

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Wanner, P., Schmautz, T., Kluge, F., Eskofier, B., Pfeifer, K., & Steib, S. (2019). Ankle angle variability during running in athletes with chronic ankle instability and copers. Gait & Posture, 68, 329–334.
Wanner, P., Schmautz, T., Kluge, F., Eskofier, B., Pfeifer, K., & Steib, S. (2019, January). Athletes with chronic ankle instability demonstrate altered ankle angle variability during running compared to copers. Paper presentation at Sportmotorik 2019. Adaptation, Lernen und virtuelle Welten, Bern, CH.
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
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.
Hannink, J., Ollenschläger, M., Kluge, F., Roth, N., Klucken, J., & Eskofier, B. (2017). Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis. Sensors, 17(9). https://dx.doi.org/10.3390/s17091940
Christian, J., Kluge, F., Eskofier, B., & Schwameder, H. (2017). Comparison of different marker sets for marker trajectory and principal component analysis based classification of simulated gait impairments. Journal of Biomedical Engineering and Informatics, 3(1), 10-17. https://dx.doi.org/10.5430/jbei.v3n1p10
Kluge, F., & Eskofier, B. (2017). Letter to the Editor regarding "Gait recording with inertial sensors - How to determine initial and terminal contact" by Bötzel and colleagues. Journal of Biomechanics, 52, 183-184. https://dx.doi.org/10.1016/j.jbiomech.2016.07.043
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.
Hannink, J., Kluge, F., Gaßner, H., Klucken, J., & Eskofier, B. (2017). Quantifying postural instability in Parkinsonian gait from inertial sensor data during standardised clinical gait tests. In 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN). (pp. 129-132).
Kluge, F., Krinner, S., Lochmann, M., & Eskofier, B. (2017). Speed dependent effects of laterally wedged insoles on gait biomechanics in healthy subjects. Gait & Posture, 55, 145-149. https://dx.doi.org/10.1016/j.gaitpost.2017.04.012

Last updated on 2019-21-03 at 22:52