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

Vikas Mittal and R. K. Sharma
Additional contact information
Vikas Mittal: National Institute of Technology, Kurukshetra, India
R. K. Sharma: National Institute of Technology, Kurukshetra, India

International Journal of Healthcare Information Systems and Informatics (IJHISI), 2021, vol. 16, issue 4, 1-22

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.

Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... IJHISI.20211001.oa30 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jhisi0:v:16:y:2021:i:4:p:1-22

Access Statistics for this article

International Journal of Healthcare Information Systems and Informatics (IJHISI) is currently edited by Qiang (Shawn) Cheng

More articles in International Journal of Healthcare Information Systems and Informatics (IJHISI) from IGI Global
Bibliographic data for series maintained by Journal Editor ().