title: Position-sensing technologies for movement analysis in stroke rehabilitation.
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.
authors.affiliation: School of Computing & Mathematics, University of Ulster, Newtownabbey, Northern Ireland, UK.
authors.forename: H
authors.initials: H
authors.lastname: Zheng
authors.forename: N D
authors.initials: ND
authors.lastname: Black
authors.forename: N D
authors.initials: ND
authors.lastname: Harris
mesh_terms: D001696:Biomechanical Phenomena; D004594:Electrophysiology; D006699:Home Care Services; D006801:Humans; D009038:Motion; D020521:Stroke / Q000503:physiopathology; D000071939:Stroke Rehabilitation; D017216:Telemedicine / Q000379:methods*