Automatic Parkinson’s disease detection based on the combination of long-term acoustic features and Mel frequency cepstral coefficients (MFCC)

Author:

Hawi SaraORCID,Alhozami Jana,AlQahtani Raneem,AlSafran Dannah,Alqarni MaramORCID,Sahmarany Lola ElORCID

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference33 articles.

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4. Accurate telemonitoring of Parkinson’s disease progression by noninvasive speech tests;Tsanas;IEEE Trans. Biomed. Eng.,2010

5. Early diagnosis of Parkinson’s disease from multiple voice recordings by simultaneous sample and feature selection;Ali;Expert Syst. Appl.,2019

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