Pathological voice assessment by recurrence quantification analysis
Tipo
Artigo de evento
Data de publicação
2012
Periódico
2012 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living, BRC 2012
Citações (Scopus)
10
Autores
De A. Costa W.C.
Assis F.M.
Neto B.G.A.
Costa S.C.
Vieira V.J.D.
Assis F.M.
Neto B.G.A.
Costa S.C.
Vieira V.J.D.
Orientador
Título da Revista
ISSN da Revista
Título de Volume
Membros da banca
Programa
Resumo
In this paper, the performance of quantification measures of recurrence plots is evaluated in the task of discriminating pathological voices from the healthy ones. In order to classify these signals as healthy, edema or paralysis, seven recurrence quantification measures are used: Determinism (DET), Maximum length of the diagonal structures (L max), Entropy (ENTR), Slope of line-of-best-fit (TREND), Laminarity (LAM), Length of longest vertical line segment (V max), and mean vertical line length or trapping time (TT). A discriminant analysis method is applied to each feature individually, using two discriminant functions: Linear and quadratic. The performance of individual classifiers are improved when combining the measures two by two. Results show that the method employed can be used as a highly reliable method for pathological voice assessment. © 2012 IEEE.
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Assuntos Scopus
Diagonal structure , Discriminant functions , Individual classifiers , Pathological voice , Recurrence plot , Recurrence quantification analysis , recurrence quantification measures , Trapping time , Vertical lines