Detrended fluctuation analysis of pathological cardiac signals / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 484-486, 2011.
Artigo
em Chinês
| WPRIM
| ID: wpr-306533
ABSTRACT
The analysis of pathological electrocardiogram (ECG) signals is of importance for aided clinical diagnosis. We analyzed the self-similarity of normal heart rhythm, congestive heart failure and sudden cardiac death signal in the present paper using detrended fluctuation analysis (DFA), in order to achieve these two pathological ECG signal detection. The scale index(alpha) was achieved by analyzing and detecting normal heart rhythm, congestive heart failure and sudden cardiac death in the MIT-BIH standard database. Analysis of variance showed that the scale index could distinguish between congestive heart failure and sudden cardiac death accordingly.
Texto completo:
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Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Processamento de Sinais Assistido por Computador
/
Morte Súbita Cardíaca
/
Dinâmica não Linear
/
Fractais
/
Eletrocardiografia
/
Insuficiência Cardíaca
/
Métodos
Limite:
Humanos
Idioma:
Chinês
Revista:
Journal of Biomedical Engineering
Ano de publicação:
2011
Tipo de documento:
Artigo
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