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    Home > Active Ingredient News > Study of Nervous System > IEEE trans: Application of multivariate analysis of Kinect joint motion data in Parkinson's disease

    IEEE trans: Application of multivariate analysis of Kinect joint motion data in Parkinson's disease

    • Last Update: 2021-06-04
    • Source: Internet
    • Author: User
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    Parkinson's disease (Parkinson'sdisease, PD) is a movement disorder and is the second most common neurodegenerative disease after Alzheimer's disease.


    video

    kinect detects joints

    Fifty-seven people participated in the study; 30 patients with mild to moderate PD and 27 healthy people.


    diagnosis

    Participants face the Kinect sensor station directly at a distance of 3 meters.


    Sitting-stand-sit is one of the most commonly used exercise assessment tasks for patients with Parkinson's disease, especially in quantifying their balance and coordination abilities.


    medsci.


    Average value of Pearson correlation coefficient between healthy subjects and PD patients 

    Three types of motion data are obtained for motion analysis, including velocity, instantaneous phase of velocity, and instantaneous phase change of velocity.


    The research in this article demonstrates the possibility of using multivariate analysis to study joint movement data, which may help future Parkinson research.


    The research in this article demonstrates the possibility of using multivariate analysis to study joint movement data, which may help future Parkinson research.


    Ren P.
    et Al , "Multivariate the Analysis of the Data by the Kinect Joint Motion: Parkinson, the Application to Disease apos,.
    " Inthe IEEE Transactions ON Neural Systems and Rehabilitation Engineering .
    .
    .
    , Vol 28, NO.
    1, PP 181-190 

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