A pilot study for speech assessment to detect the severity of Parkinson's disease: An ensemble approach.

Journal: Computers in biology and medicine
PMID: 39709867

Abstract

BACKGROUND: Changes in voice are a symptom of Parkinson's disease and used to assess the progression of the condition. However, natural differences in the voices of people can make this challenging. Computerized binary speech classification can identify people with PD (PwPD), but its multiclass application to detect the severity of the disease remains difficult.

Authors

  • Guilherme C Oliveira
    School of Engineering, RMIT University, Victoria, Australia; School of Sciences, São Paulo State University, São Paulo, Brazil. Electronic address: gc.oliveira@unesp.br.
  • Nemuel D Pah
    School of Engineering, RMIT University, Victoria, Australia; Electrical Engineering, Universitas Surabaya, Surabaya, Indonesia. Electronic address: nemuel.daniel.pah@rmit.edu.au.
  • Quoc C Ngo
    School of Engineering, RMIT University, Victoria, Australia. Electronic address: quoc.cuong.ngo@rmit.edu.au.
  • Arissa Yoshida
    School of Sciences, São Paulo State University, São Paulo, Brazil. Electronic address: arissa.yoshida@unesp.br.
  • Nícolas B Gomes
    School of Sciences, São Paulo State University, São Paulo, Brazil. Electronic address: nicolas.gomes@unesp.br.
  • João P Papa
    Department of Computing, São Paulo State University, UNESP, Brazil. Electronic address: papa@fc.unesp.br.
  • Dinesh Kumar
    a Department of Mechanical and Industrial Engineering , Indian Institute of Technology Roorkee , Roorkee , India.

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