Automated detection of Parkinson's disease using minimum average maximum tree and singular value decomposition method with vowels
In this study, a novel method to automatically detect Parkinson's disease (PD) using vowels is proposed. A combination of minimum average maximum (MAMa) tree and singular value decomposition (SVD) are used to extract the salient features from the voice signals. A novel feature signal is constru...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Elsevier
2020
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/37196/ |
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