Automated detection of Parkinson's disease using minimum average maximum tree and singular value decomposition method with vowels

• Main Authors: Tuncer, Turker, Dogan, Sengul, Acharya, Udyavara Rajendra
• Format: Article
• Published: Elsevier 2020
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/37196/
• Institution: Universiti Malaya

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...