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    Hand movement quantification of Parkinson's disease using image processing

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    msc_kelash_m_2018.pdf (3.270Mb)
    Author
    Kelash, Mahander
    Date
    2018
    Degree
    MSc in Information Systems with Computing
    URI
    https://esource.dbs.ie/handle/10788/3496
    Publisher
    Dublin Business School
    Rights holder
    http://esource.dbs.ie/copyright
    Rights
    Items in eSource are protected by copyright. Previously published items are made available in accordance with the copyright policy of the publisher/copyright holder.
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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.
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