An improved wavelet threshold algorithm for ECG denoising / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 511-515, 2014.
Artigo
em Chinês
| WPRIM
| ID: wpr-290725
ABSTRACT
Due to the characteristics and environmental factors, electrocardiogram (ECG) signals are usually interfered by noises in the course of signal acquisition, so it is crucial for ECG intelligent analysis to eliminate noises in ECG signals. On the basis of wavelet transform, threshold parameters were improved and a more appropriate threshold expression was proposed. The discrete wavelet coefficients were processed using the improved threshold parameters, the accurate wavelet coefficients without noises were gained through inverse discrete wavelet transform, and then more original signal coefficients could be preserved. MIT-BIH arrythmia database was used to validate the method. Simulation results showed that the improved method could achieve better denoising effect than the traditional ones.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Arritmias Cardíacas
/
Algoritmos
/
Processamento de Sinais Assistido por Computador
/
Bases de Dados Factuais
/
Eletrocardiografia
/
Análise de Ondaletas
Tipo de estudo:
Estudo prognóstico
Limite:
Humanos
Idioma:
Chinês
Revista:
Journal of Biomedical Engineering
Ano de publicação:
2014
Tipo de documento:
Artigo
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