| Federated learning for healthcare: Systematic review and architecture proposal RS Antunes, C André da Costa, A Küderle, IA Yari, B Eskofier ACM Transactions on Intelligent Systems and Technology (TIST) 13 (4), 1-23, 2022 | 428 | 2022 |
| 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 |
| 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 | 58 | 2020 |
| Depth-selective photothermal IR spectroscopy of skin: potential application for non-invasive glucose measurement O Hertzberg, A Bauer, A Küderle, MA Pleitez, W Mäntele Analyst 142 (3), 495-502, 2017 | 57 | 2017 |
| 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 | 56 | 2023 |
| 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 |
| IR‐spectroscopy of skin in vivo: Optimal skin sites and properties for non‐invasive glucose measurement by photoacoustic and photothermal spectroscopy A Bauer, O Hertzberg, A Küderle, D Strobel, MA Pleitez, W Mäntele Journal of biophotonics 11 (1), e201600261, 2018 | 54 | 2018 |
| Apkinson: the Smartphone Application for Telemonitoring Parkinson’s Patients Through speech, Gait and Hands Movement JR Orozco-Arroyave, JC Vásquez-Correa, P Klumpp, PA Pérez-Toro, ... Neurodegenerative Disease Management 10 (3), 137-157, 2020 | 52 | 2020 |
| 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 |
| 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 |
| Federated electronic health records for the European Health Data Space R Raab, A Küderle, A Zakreuskaya, AD Stern, J Klucken, G Kaissis, ... The Lancet Digital Health 5 (11), e840-e847, 2023 | 41 | 2023 |
| Does the position of foot-mounted IMU sensors influence the accuracy of spatio-temporal parameters in endurance running? M Zrenner, A Küderle, N Roth, U Jensen, B Dümler, BM Eskofier Sensors 20 (19), 5705, 2020 | 40 | 2020 |
| 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 |
| 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 | 33 | 2022 |
| 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 |
| 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 | 25 | 2021 |
| Non-invasive substance analysis W Mäntele, MAP Rafael, T Lieblein, O Hertzberg, A Bauer, ... US Patent 10,883,933, 2021 | 25 | 2021 |
| Machine learning-based detection of acute psychosocial stress from body posture and movements R Richer, V Koch, L Abel, F Hauck, M Kurz, V Ringgold, V Müller, ... Scientific Reports 14 (1), 8251, 2024 | 23 | 2024 |
| The placement of foot-mounted IMU sensors does affect the accuracy of spatial parameters during regular walking A Küderle, N Roth, J Zlatanovic, M Zrenner, B Eskofier, F Kluge PLoS One 17 (6), e0269567, 2022 | 23 | 2022 |
Bjoern M. EskofierMaD Lab, FAU Erlangen-Nürnberg & TDH Group, Helmholtz Munichبريد إلكتروني تم التحقق منه على fau.de