Hand movement quantification of Parkinson's disease using image processing

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Authors
Kelash, Mahander
Issue Date
2018
Degree
MSc in Information Systems with Computing
Publisher
Dublin Business School
Rights
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Abstract
This research describes the methodology and demonstrates the applicability of system, developed using image processing, to quantify Parkinson’s disease by hand movements of patient. The main goal of this study is to develop an application prototype, that will quantify PD in home or in clinical environment, and without using any external hardware. Two healthy were measured and one PD patient with off- and on- dopaminergic condition was measured. Rapid hand opening and closing were measured with the system (called HMQPD). The methodology described and result presented shows applicability of HMQPD in a home environment, to considerately quantify hand bradykinesia.