Position-sensing technologies for movement analysis in stroke rehabilitation
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Published on: April 12, 2016
H Zheng1, N D Black, N D Harris
1School of Computing & Mathematics, University of Ulster, Newtownabbey, Northern Ireland, UK.
Abstract:
Research has focused on improvement of the quality of life of stroke patients. Gait detection, kinematics and kinetics analysis, home-based rehabilitation and telerehabilitation are the areas where there has been increasing research interest. The paper reviews position-sensing technologies and their application for human movement tracking and stroke rehabilitation. The review suggests that it is feasible to build a home-based telerehabilitation system for sensing and tracking the motion of stroke patients.
