Michael H Li
Michael H Li
University of Toronto, Toronto Rehabilitation Institute
Verified email at utoronto.ca
TitleCited byYear
Non-Contact Vision-Based Cardiopulmonary Monitoring in Different Sleeping Positions.
MH Li, A Yadollahi, B Taati
IEEE journal of biomedical and health informatics, 2016
222016
A non-contact vision-based system for respiratory rate estimation
MH Li, A Yadollahi, B Taati
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
222014
Automated vision-based analysis of levodopa-induced dyskinesia with deep learning
MH Li, TA Mestre, SH Fox, B Taati
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
52017
Vision-based assessment of parkinsonism and levodopa-induced dyskinesia with pose estimation
MH Li, TA Mestre, SH Fox, B Taati
Journal of NeuroEngineering and Rehabilitation 15 (1), 97, 2018
42018
Automatic Detection of Compensation during Robotic Stroke Rehabilitation Therapy
YX Zhi, M Lukasik, M Li, E Dolatabadi, RH Wang, B Taati
IEEE Journal of Translational Engineering in Health and Medicine, 2017
42017
Sequential hypothesis testing for automatic detection of task-related changes in cerebral perfusion in a brain–computer interface
HG Faulkner, A Myrden, M Li, K Mamun, T Chau
Neuroscience research 100, 29-38, 2015
32015
Automated assessment of levodopa-induced dyskinesia: Evaluating the responsiveness of video-based features
MH Li, TA Mestre, SH Fox, B Taati
Parkinsonism & related disorders 53, 42-45, 2018
12018
Vision-Based Assessment of Parkinsonism and Levodopa-Induced Dyskinesia with Deep Learning Pose Estimation
MH Li, TA Mestre, SH Fox, B Taati
arXiv preprint arXiv:1707.09416, 2017
12017
Objective Vision-Based Assessment of Parkinsonism and Levodopa-Induced Dyskinesia in Persons with Parkinson's Disease
M Li
University of Toronto (Canada), 2017
2017
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