| 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 | 65 | 2021 |
| Comparison of different algorithms for calculating velocity and stride length in running using inertial measurement units M Zrenner, S Gradl, U Jensen, M Ullrich, BM Eskofier Sensors 18 (12), 4194, 2018 | 55 | 2018 |
| 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 | 39 | 2021 |
| Detection of gait from continuous inertial sensor data using harmonic frequencies M Ullrich, A Kuederle, J Hannink, S Del Din, H Gassner, F Marxreiter, ... IEEE Journal of Biomedical and Health Informatics, 2020 | 39 | 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 | 35 | 2021 |
| A wavelet based time frequency analysis of electromyograms to group steps of runners into clusters that contain similar muscle activation patterns V von Tscharner, M Ullrich, M Mohr, D Comaduran Marquez, BM Nigg PLoS One 13 (4), e0195125, 2018 | 30 | 2018 |
| 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 | 29 | 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 | 29 | 2021 |
| Fall risk prediction in Parkinson's disease using real-world inertial sensor gait data M Ullrich, N Roth, A Küderle, R Richer, T Gladow, H Gaßner, F Marxreiter, ... IEEE journal of biomedical and health informatics 27 (1), 319-328, 2022 | 24 | 2022 |
| Beta, gamma band, and high-frequency coherence of EMGs of vasti muscles caused by clustering of motor units V von Tscharner, M Ullrich, M Mohr, D Comaduran Marquez, BM Nigg Experimental brain research 236 (11), 3065-3075, 2018 | 21 | 2018 |
| BioPsyKit: A Python package for the analysis of biopsychological data R Richer, A Küderle, M Ullrich, N Rohleder, BM Eskofier Journal of Open Source Software 6 (66), 3702, 2021 | 19 | 2021 |
| Mobility recorded by wearable devices and gold standards: the Mobilise-D procedure for data standardization L Palmerini, L Reggi, T Bonci, S Del Din, ME Micó-Amigo, F Salis, ... Scientific Data 10 (1), 38, 2023 | 16 | 2023 |
| Do we walk differently at home? A context-aware gait analysis system in continuous real-world environments N Roth, GP Wieland, A Küderle, M Ullrich, T Gladow, F Marxreiter, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 16 | 2021 |
| Machine learning-based distinction of left and right foot contacts in lower back inertial sensor gait data M Ullrich, A Küderle, L Reggi, A Cereatti, BM Eskofier, F Kluge 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 14 | 2021 |
| Robust step detection from different waist-worn sensor positions: implications for clinical studies M Tietsch, A Muaremi, I Clay, F Kluge, H Hoefling, M Ullrich, A Küderle, ... Digital biomarkers 4 (Suppl. 1), 50-58, 2020 | 12 | 2020 |
| Kinematic parameter evaluation for the purpose of a wearable running shoe recommendation M Zrenner, M Ullrich, P Zobel, U Jensen, F Laser, BH Groh, B Duemler, ... 2018 IEEE 15th international conference on wearable and implantable body …, 2018 | 10 | 2018 |
| Design and validation of a multi-task, multi-context protocol for real-world gait simulation K Scott, T Bonci, F Salis, L Alcock, E Buckley, E Gazit, C Hansen, ... Journal of NeuroEngineering and Rehabilitation 19 (1), 141, 2022 | 9 | 2022 |
| Unsupervised harmonic frequency-based gait sequence detection for Parkinson's disease M Ullrich, J Hannink, H Gaßner, J Klucken, BM Eskofier, F Kluge 2019 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2019 | 8 | 2019 |
| Real-world stair ambulation characteristics differ between prospective fallers and non-fallers in Parkinson’s disease N Roth, M Ullrich, A Küderle, T Gladow, F Marxreiter, H Gassner, F Kluge, ... IEEE journal of biomedical and health informatics 26 (9), 4733-4742, 2022 | 5 | 2022 |
| Assessing real-world gait with digital technology ME Micó-Amigo, T Bonci, A Paraschiv-Ionescu, M Ullrich, C Kirk, A Soltani Validation, insights and recommendations from the Mobilise-D consortium, 2022 | 5 | 2022 |
Bjoern M. EskofierMaD Lab, FAU Erlangen-Nürnberg & TDH Group, Helmholtz Munich在 fau.de 的电子邮件经过验证
