VOICE ANALYSIS OF PATIENTS WITH NEUROLOGICAL DISORDERS USING ACOUSTICAL AND NONLINEAR TOOLS

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Arquivos
art_DAJER_VOICE_ANALYSIS_OF_PATIENTS_WITH_NEUROLOGICAL_DISORDERS_USING_2012.PDF (274.1 KB)
Citações na Scopus
Tipo de produção
conferenceObject
Data de publicação
2012
DOI
Web of Science
Título da Revista
ISSN da Revista
Título do Volume
Editora
IEEE
Autores
SCALASSARA, P. R.
MARRARA, J. L.
PEREIRA, J. C.
Citação
2012 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP), 2012
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
In this paper, we analyze voice signals recorded from patients with neurological disorders of different etiologies. The study was based on three samples of each patient: one before any ingestion, one after the swallowing of a liquid solution, and one after the swallowing of a pasty solution. We used three approaches: first, acoustical analysis, specifically fundamental frequency, jitter and shimmer; second, a proposed analysis method of vocal dynamic visual patterns, which are based on phase space reconstruction of the signals; and third, relative entropy analysis between the groups of signals. We show that the acoustical measures were not able to differentiate the study cases, relative entropy was only partially able to perform this task, but the visual patterns analysis was successful.
Palavras-chave
Voice, dysphagia, phase space, entropy
URI
https://observatorio.fm.usp.br/handle/OPI/4891
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Coleções
Comunicações em Eventos - FM/Outros
Comunicações em Eventos - LIM/32