A Review On Parkinson's Disease Diagnosis Through Speech

Authors

  • Amreen Saifer  Student, Electronics and Communication, RTMNU, ACET, Nagpur, Maharashtra, India
  • Dr. S. M. Ali  Associate Professor , Electronics and Communication, RTMNU, ACET, Nagpur, Maharashtra, India

Keywords:

Parkinson's disease; Speech Analysis; Genetic Algorithm; Support Vector Machine

Abstract

This paper gives detailed description of Parkinson’s disease (PD) and systematic literature review on Parkinson’s disease severity assessment methods based on speech impairment. Parkinson’s disease is the most common disease of motor system degeneration that occurs when the dopamine-producing cells are damaged in substantia nigra. EEG, gait and speech are the various signals used to detect PD, these signals was also been investigated. Since approximately 90 percent of the people with PD suffer from speech disorders, speech analysis is considered as the most common technique for diagnosing. Researchers proposes various algorithm for diagnosing of Parkinson’s disease based on voice analysis. Viz. Support vector machine (SVM), Genetic Algorithm, Artificial Neural Network.

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International Journal of Scientific Research in Science and Technology

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Published

2018-04-30

Issue

Volume 4, Issue 5, March-April-2018

Section

Research Articles

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How to Cite

[1]
Amreen Saifer, Dr. S. M. Ali, " A Review On Parkinson's Disease Diagnosis Through Speech, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 5, pp.36-45, March-April-2018.