| 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 | 198 | 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 | 159 | 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 | 113 | 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 | 77 | 2021 |
| 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 | 66 | 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 | 60 | 2013 |
| 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 | 57 | 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 | 56 | 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 | 54 | 2023 |
| 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 | 46 | 2020 |
| 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 | 45 | 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 | 45 | 2013 |
| 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 | 44 | 2022 |
| 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 | 44 | 2021 |
| 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 | 42 | 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 | 41 | 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 | 39 | 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 | 39 | 2018 |
| 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 | 35 | 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 | 33 | 2021 |
Bjoern M. EskofierMaD Lab, FAU Erlangen-Nürnberg & TDH Group, Helmholtz MunichVerified email at fau.de