Cristian Pasluosta
Cristian Pasluosta
Research Group Leader, University of Freiburg
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
Generic performance measure for multiclass-classifiers
T Kautz, BM Eskofier, CF Pasluosta
Pattern Recognition 68, 111-125, 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
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
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
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
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
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
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
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
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
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
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
Stride length estimation with deep learning
J Hannink, T Kautz, CF Pasluosta, J Barth, S Schülein, KG Gaßmann, ...
arXiv preprint arXiv:1609.03321, 2016
Tactile myography: An off-line assessment of able-bodied subjects and one upper-limb amputee
C Castellini, R Kõiva, C Pasluosta, C Viegas, BM Eskofier
Technologies 6 (2), 38, 2018
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