Detecção da doença de Alzheimer através de parâmetros não-lineares de sinais de fala

Martim G. Silva, Pedro Ribeiro, Bruno C. Bispo, Pedro M. Rodrigues*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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Abstract

This work aims to detect Alzheimer’s disease (AD) through non-linear features of speech signals. The features are extracted from signal subbands, which are obtained through the wavelet transform, and some of its descriptive statistics are used as input for several classifiers. Accuracies of 100, 77.8 and 85.2% are obtained in detecting AD among women, men and all, respectively, using logistic regression classifiers.
Original languagePortuguese
Title of host publicationAnais do XLI Simpósio Brasileiro de Telecomunicações e Processamento de Sinais
PublisherSociedade Brasileira de Telecomunicações
Pages1-5
Number of pages5
DOIs
Publication statusPublished - 2023
EventXLI Simpósio Brasileiro de Telecomunicações e Processamento de Sinais: SBrT 2023 - São José dos Campos, Brazil
Duration: 8 Oct 202311 Oct 2023

Conference

ConferenceXLI Simpósio Brasileiro de Telecomunicações e Processamento de Sinais
Country/TerritoryBrazil
CitySão José dos Campos
Period8/10/2311/10/23

Keywords

  • Alzheimer’s disease
  • Speech signal
  • Non-linear analysis
  • Wavelet
  • Classifiers

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