Abstract

Patients with Parkinson’s disease or stroke show symptoms of motor disorders that disturb gait and mobility. Although the objective and/or quantitative assessment of the rehabilitation to evaluate the degree of improvement is significantly important, three-dimensional (3D) motion capture systems to evaluate body movement are very expensive and require many markers attached to patients. The purpose of this study was to investigate the feasibility of medical and healthcare ICT-supported rehabilitation assistance systems for 3D gait analysis using low-cost markerless motion capture devices in response to practical clinical needs. The clinical data obtained by our system showed that there were significant differences between the patient group and the healthy subject group.

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