| An Emerging Era in the Management of Parkinson’s disease: Wearable Technologies and the Internet of Things C Pasluosta, H Gassner, J Winkler, J Klucken, B Eskofier IEEE journal of Biomedical and Health Informatics, 2015 | 380 | 2015 |
| Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards CA Da Costa, CF Pasluosta, B Eskofier, DB Da Silva, R da Rosa Righi Artificial intelligence in medicine 89, 61-69, 2018 | 292 | 2018 |
| Stride segmentation during free walk movements using multi-dimensional subsequence dynamic time warping on inertial sensor data J Barth, C Oberndorfer, C Pasluosta, S Schülein, H Gassner, S Reinfelder, ... Sensors 15 (3), 6419-6440, 2015 | 214 | 2015 |
| Sensor-based gait parameter extraction with deep convolutional neural networks J Hannink, T Kautz, CF Pasluosta, KG Gaßmann, J Klucken, BM Eskofier IEEE journal of biomedical and health informatics 21 (1), 85-93, 2016 | 195 | 2016 |
| 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 | 150 | 2017 |
| Mobile stride length estimation with deep convolutional neural networks J Hannink, T Kautz, CF Pasluosta, J Barth, S Schülein, KG Gaßmann, ... IEEE journal of biomedical and health informatics 22 (2), 354-362, 2017 | 143 | 2017 |
| Generic performance measure for multiclass-classifiers T Kautz, BM Eskofier, CF Pasluosta Pattern Recognition 68, 111-125, 2017 | 85 | 2017 |
| Paradigms for restoration of somatosensory feedback via stimulation of the peripheral nervous system C Pasluosta, P Kiele, T Stieglitz Clinical Neurophysiology 129 (4), 851-862, 2018 | 79 | 2018 |
| Perturbation during treadmill training improves dynamic balance and gait in Parkinson’s disease: a single-blind randomized controlled pilot trial S Steib, S Klamroth, H Gaßner, C Pasluosta, B Eskofier, J Winkler, ... Neurorehabilitation and neural repair 31 (8), 758-768, 2017 | 56 | 2017 |
| Combined accelerometer and EMG analysis to differentiate essential tremor from Parkinson's disease NH Ghassemi, F Marxreiter, CF Pasluosta, P Kugler, J Schlachetzki, ... 2016 38th Annual international conference of the IEEE Engineering in …, 2016 | 50 | 2016 |
| Slippage sensory feedback and nonlinear force control system for a low-cost prosthetic hand C Pasluosta, H Tims, AWL Chiu Am. J. Biomed. Sci 1 (4), 295-302, 2009 | 48 | 2009 |
| Perturbation treadmill training improves clinical characteristics of gait and balance in Parkinson’s disease H Gaßner, S Steib, S Klamroth, CF Pasluosta, W Adler, BM Eskofier, ... Journal of Parkinson's disease 9 (2), 413-426, 2019 | 47 | 2019 |
| Neuromuscular adaptations and sensorimotor integration following a unilateral transfemoral amputation CR Claret, GW Herget, L Kouba, D Wiest, J Adler, V von Tscharner, ... Journal of neuroengineering and rehabilitation 16, 1-11, 2019 | 39 | 2019 |
| Electrical connectors for neural implants: design, state of the art and future challenges of an underestimated component J Koch, M Schuettler, C Pasluosta, T Stieglitz Journal of neural engineering 16 (6), 061002, 2019 | 38 | 2019 |
| 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 | 38 | 2018 |
| Pull test estimation in Parkinson's disease patients using wearable sensor technology CF Pasluosta, J Barth, H Gassner, J Klucken, BM Eskofier 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 26 | 2015 |
| Dynamic footprint based locomotion sway assessment in α-synucleinopathic mice using Fast Fourier Transform and Low Pass Filter IK Timotius, F Canneva, G Minakaki, C Pasluosta, S Moceri, N Casadei, ... Journal of Neuroscience Methods 296, 1-11, 2018 | 23 | 2018 |
| Stride length estimation with deep learning J Hannink, T Kautz, CF Pasluosta, J Barth, S Schülein, KG Gaßmann, ... arXiv preprint arXiv:1609.03321, 2016 | 22 | 2016 |
| Unobtrusive heart rate estimation during physical exercise using photoplethysmographic and acceleration data P Mullan, CM Kanzler, B Lorch, L Schroeder, L Winkler, L Laich, F Riedel, ... 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 22 | 2015 |
| Exploring gait adaptations to perturbed and conventional treadmill training in Parkinson’s disease: time-course, sustainability, and transfer S Steib, S Klamroth, H Gaßner, C Pasluosta, B Eskofier, J Winkler, ... Human movement science 64, 123-132, 2019 | 16 | 2019 |
Bjoern M. EskofierMaD Lab, FAU Erlangen-Nürnberg & TDH Group, Helmholtz Munich在 fau.de 的电子邮件经过验证
