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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Published in | Computer methods and programs in biomedicine Vol. 145; pp. 135 - 145 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Ireland
Elsevier B.V
01.07.2017
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Subjects | |
Online Access | Get full text |
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