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Classification of Parkinson Disease Based on Analysis and Synthesis of Voice Signal

Classification of Parkinson Disease Based on Analysis and Synthesis of Voice Signal

Vikas Mittal, R. K. Sharma
Copyright: © 2021 |Volume: 16 |Issue: 4 |Pages: 22
ISSN: 1555-3396|EISSN: 1555-340X|EISBN13: 9781799859819|DOI: 10.4018/IJHISI.20211001.oa30
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MLA

Mittal, Vikas, and R. K. Sharma. "Classification of Parkinson Disease Based on Analysis and Synthesis of Voice Signal." IJHISI vol.16, no.4 2021: pp.1-22. http://doi.org/10.4018/IJHISI.20211001.oa30

APA

Mittal, V. & Sharma, R. K. (2021). Classification of Parkinson Disease Based on Analysis and Synthesis of Voice Signal. International Journal of Healthcare Information Systems and Informatics (IJHISI), 16(4), 1-22. http://doi.org/10.4018/IJHISI.20211001.oa30

Chicago

Mittal, Vikas, and R. K. Sharma. "Classification of Parkinson Disease Based on Analysis and Synthesis of Voice Signal," International Journal of Healthcare Information Systems and Informatics (IJHISI) 16, no.4: 1-22. http://doi.org/10.4018/IJHISI.20211001.oa30

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Abstract

The most important application of voice profiling is pathological voice detection. Parkinson's disease is a chronic neurological degenerative disease affecting the central nervous system responsible for essentially progressive evolution movement disorders. 70% to 90% of Parkinson’s disease (PD) patients show an affected voice. This paper proposes a methodology for PD based on acoustic, glottal, physical, and electrical parameters. The results show that the acoustic parameter is more important in the case of Parkinson’s disease as compared to glottal and physical parameters. The authors achieved 97.2% accuracy to differentiate Parkinson and healthy voice using jitter to pitch ratio proposed algorithm. The Authors also proposed an algorithm of poles calculation of the vocal tract to find formants of the vocal tract. Further, formants are used for finding the transfer function of vocal tract filter. In the end, the authors suggested parameters of the electrical vocal tract model are also changed in the case of PD voices.