An automatic non-invasive method for Parkinson's disease classification

•Gait Analysis based non-invasive identification of Parkinson subjects.•Wavelet based feature extraction using gait variables.•100% classification accuracy using all spatio-temporal variables together. The automatic noninvasive identification of Parkinson's disease (PD) is attractive to clinici...

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Bibliographic Details
Published inComputer methods and programs in biomedicine Vol. 145; pp. 135 - 145
Main Authors Joshi, Deepak, Khajuria, Aayushi, Joshi, Pradeep
Format Journal Article
LanguageEnglish
Published Ireland Elsevier B.V 01.07.2017
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