Surface electromyogram denoising using adaptive wavelet thresholding / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 723-728, 2014.
Artigo
em Chinês
| WPRIM
| ID: wpr-290685
ABSTRACT
Surface electromyogram (sEMG) may have low signal to noise ratios. An adaptive wavelet thresholding technique was developed in this study to remove noise contamination from sEMG signals. Compared with convention- al wavelet thresholding methods, the adaptive approach can adjust thresholds based on different signal to noise ratios of the processed signal, thus effectively removing noise contamination and reducing distortion of the EMG signal. The advantage of the developed adaptive thresholding method was demonstrated using simulated and experimental sEMG recordings.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Algoritmos
/
Processamento de Sinais Assistido por Computador
/
Eletromiografia
/
Análise de Ondaletas
Limite:
Humanos
Idioma:
Chinês
Revista:
Journal of Biomedical Engineering
Ano de publicação:
2014
Tipo de documento:
Artigo
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