Felix Kluge
Felix Kluge
Biomedical Research, Novartis Pharma AG
Verified email at
Cited by
Cited by
Methodological aspects of EEG and body dynamics measurements during motion
PMR Reis, F Hebenstreit, F Gabsteiger, V von Tscharner, M Lochmann
Frontiers in human neuroscience 8, 156, 2014
Towards mobile gait analysis: concurrent validity and test-retest reliability of an inertial measurement system for the assessment of spatio-temporal gait parameters
F Kluge, H Gaßner, J Hannink, C Pasluosta, J Klucken, BM Eskofier
Sensors 17 (7), 1522, 2017
Effect of walking speed on gait sub phase durations
F Hebenstreit, A Leibold, S Krinner, G Welsch, M Lochmann, BM Eskofier
Human movement science 43, 118-124, 2015
Technical validation of real-world monitoring of gait: a multicentric observational study
C Mazzà, L Alcock, K Aminian, C Becker, S Bertuletti, T Bonci, P Brown, ...
BMJ open 11 (12), e050785, 2021
Estimation of the knee flexion-extension angle during dynamic sport motions using body-worn inertial sensors
C Jakob, P Kugler, F Hebenstreit, S Reinfelder, U Jensen, D Schuldhaus, ...
Proceedings of the 8th International Conference on Body Area Networks, 289-295, 2013
Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes
A Polhemus, L Delgado-Ortiz, G Brittain, N Chynkiamis, F Salis, H Gaßner, ...
NPJ digital medicine 4 (1), 149, 2021
Inertial sensor-based gait parameters reflect patient-reported fatigue in multiple sclerosis
AA Ibrahim, A Küderle, H Gaßner, J Klucken, BM Eskofier, F Kluge
Journal of neuroengineering and rehabilitation 17, 1-9, 2020
Validation of a sensor-based gait analysis system with a gold-standard motion capture system in patients with Parkinson’s disease
V Jakob, A Küderle, F Kluge, J Klucken, BM Eskofier, J Winkler, ...
Sensors 21 (22), 7680, 2021
Comparison of the AMICA and the InfoMax algorithm for the reduction of electromyogenic artifacts in EEG data
H Leutheuser, F Gabsteiger, F Hebenstreit, P Reis, M Lochmann, ...
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
Consensus based framework for digital mobility monitoring
F Kluge, S Del Din, A Cereatti, H Gaßner, C Hansen, JL Helbostad, ...
PLoS One 16 (8), e0256541, 2021
Detection of gait from continuous inertial sensor data using harmonic frequencies
M Ullrich, A Küderle, J Hannink, S Del Din, H Gassner, F Marxreiter, ...
IEEE Journal of Biomedical and Health Informatics 24 (7), 1869-1878, 2020
Benchmarking foot trajectory estimation methods for mobile gait analysis
J Hannink, M Ollenschläger, F Kluge, N Roth, J Klucken, BM Eskofier
Sensors 17 (9), 1940, 2017
Three-dimensional biomechanical analysis of rearfoot and forefoot running
S Knorz, F Kluge, K Gelse, S Schulz-Drost, T Hotfiel, M Lochmann, ...
Orthopaedic journal of sports medicine 5 (7), 2325967117719065, 2017
Walking-related digital mobility outcomes as clinical trial endpoint measures: protocol for a scoping review
AM Polhemus, R Bergquist, MB de Basea, G Brittain, SC Buttery, ...
BMJ open 10 (7), e038704, 2020
Pre-operative sensor-based gait parameters predict functional outcome after total knee arthroplasty
F Kluge, J Hannink, C Pasluosta, J Klucken, H Gaßner, K Gelse, ...
Gait & Posture 66, 194-200, 2018
Leveraging the potential of digital technology for better individualized treatment of Parkinson's disease
H Fröhlich, N Bontridder, D Petrovska-Delacréta, E Glaab, F Kluge, ...
Frontiers in neurology 13, 788427, 2022
Hidden Markov Model based stride segmentation on unsupervised free-living gait data in Parkinson’s disease patients
N Roth, A Küderle, M Ullrich, T Gladow, F Marxreiter, J Klucken, ...
Journal of neuroengineering and rehabilitation 18 (1), 93, 2021
Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium
ME Micó-Amigo, T Bonci, A Paraschiv-Ionescu, M Ullrich, C Kirk, A Soltani, ...
Journal of neuroengineering and rehabilitation 20 (1), 78, 2023
Detection of unsupervised standardized gait tests from real-world inertial sensor data in Parkinson’s disease
M Ullrich, A Mücke, A Küderle, N Roth, T Gladow, H Gaßner, F Marxreiter, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 2103-2111, 2021
A multi-sensor wearable system for the assessment of diseased gait in real-world conditions
F Salis, S Bertuletti, T Bonci, M Caruso, K Scott, L Alcock, E Buckley, ...
Frontiers in Bioengineering and Biotechnology 11, 1143248, 2023
The system can't perform the operation now. Try again later.
Articles 1–20