Study of biometric identification of heart sound base on Mel-Frequency cepstrum coefficient / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 1015-1020, 2012.
Artigo
em Chinês
| WPRIM
| ID: wpr-246514
ABSTRACT
Heart sound is a physiological parameter with individual characteristics generated by heart beat. To do the individual classification and recognition, in this paper, we present our study of using wavelet transform in the signal denoising, with the Mel-Frequency cepstrum coefficients (MFCC) as the feature parameters, and propose a research of reducing the dimensionality through principal components analysis (PCA). We have done the preliminary study to test the feasibility of biometric identification method using heart sound. The results showed that under the selected experimental conditions, the system could reach a 90% recognition rate. This study can provide a reference for further research.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Fisiologia
/
Algoritmos
/
Processamento de Sinais Assistido por Computador
/
Inteligência Artificial
/
Ruídos Cardíacos
/
Análise de Componente Principal
/
Reconhecimento Fisiológico de Modelo
/
Análise de Ondaletas
/
Individualidade
Tipo de estudo:
Estudo prognóstico
Limite:
Humanos
Idioma:
Chinês
Revista:
Journal of Biomedical Engineering
Ano de publicação:
2012
Tipo de documento:
Artigo
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