Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Vol 6, No 3: September 2018

Effective Detection of Parkinson’s Disease at Different Stages using Measurements of Dysphonia

Elmehdi BENMALEK (Unknown)
Jamal Elmhamdi (Unknown)
Abdelilah Jilbab (Unknown)

Article Info

Publish Date
06 Sep 2018

Abstract

This paper addressees the problem of multiclass of Parkinson’s disease by the characteristic features of person’s voice. So we computed 22 dysphonia measures from 375 voice samples of healthy and people suffer from PD. We used the particle swarm optimization (PSO) feature selection method, with random forest and the linear discriminant analysis (LDA) along with the 4-fold cross validation analysis to classify the subjects in 4 classes according to the severity of symptoms. With a classification accuracy score of 95.2%. Promisingly, the proposed diagnosis system might serve as a powerful tool for diagnosing PD, and could also extended for other voice pathologies.

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Journal Info
Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Website

Abbrev

IJEEI

Publisher

IAES Indonesia Section and Partners

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

Indonesian Journal of Electrical Engineering and Informatics (IJEEI) is a peer reviewed International Journal in English published four issues per year (March, June, September and December). The aim of Indonesian Journal of Electrical Engineering and Informatics (IJEEI) is to publish high-quality ...