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Felix Kluge
Felix Kluge
Biomedical Research, Novartis Pharma AG
Verified email at novartis.com
Title
Cited by
Cited by
Year
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
1902014
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
1452017
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
1042015
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
632021
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
542013
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
522021
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
502020
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
472021
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
402013
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
392021
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
382020
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
382017
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
382017
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
372020
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
362018
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
322022
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
322021
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
282023
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
282021
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
232023
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