The study of the pulse signals of atherosclerosis based on Hilbert-Huang transform and sample entropy / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 1178-1183, 2012.
Artigo
em Chinês
| WPRIM
| ID: wpr-246485
ABSTRACT
Atherosclerosis, one of the serious cardiovascular diseases, is very harmful to human bodies. The early diagnosis of arteriosclerosis is of great significance. In this paper, we collected pulse from healthy adults and patients with atherosclerosis. Using Hilbert-Huang Transform (HHT) and sample entropy, we analyzed the pulse and found the differences between the patients and healthy people. After using the empirical mode decomposition (EMD) to process pulse signals, we calculated sample entropy for each intrinsic mode function (IMF), and did statistical analysis of the IMF. The sample entropy of a first IMF from patients with atherosclerosis is less than that from healthy persons, and there was significant differences between the healthy and patient groups. In calculating the energy value of different frequencies on the HHT marginal spectrum, we found the energy in patients moved to low frequencies obviously. The energy value of frequency between 0-1 Hz was significantly higher in patients than in the healthy group. The t test also showed that the values between the two groups had significant differences. The statistics and figures showed that early diagnosis was feasible based on HHT and sample entropy.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Pulso Arterial
/
Algoritmos
/
Processamento de Sinais Assistido por Computador
/
Diagnóstico
/
Aterosclerose
/
Modelos Biológicos
Tipo de estudo:
Estudo diagnóstico
/
Estudo de rastreamento
Limite:
Humanos
Idioma:
Chinês
Revista:
Journal of Biomedical Engineering
Ano de publicação:
2012
Tipo de documento:
Artigo
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