Characterization of surface EMG signals using improved approximate entropy / 浙江大学学报(英文版)(B辑:生物医学和生物技术)
Journal of Zhejiang University. Science. B
; (12): 844-848, 2006.
Artigo
em Inglês
| WPRIM (Pacífico Ocidental)
| ID: wpr-251846
Biblioteca responsável:
WPRO
ABSTRACT
An improved approximate entropy (ApEn) is presented and applied to characterize surface electromyography (sEMG) signals. In most previous experiments using nonlinear dynamic analysis, this certain processing was often confronted with the problem of insufficient data points and noisy circumstances, which led to unsatisfactory results. Compared with fractal dimension as well as the standard ApEn, the improved ApEn can extract information underlying sEMG signals more efficiently and accurately. The method introduced here can also be applied to other medium-sized and noisy physiological signals.
Texto completo:
Disponível
Base de dados:
WPRIM (Pacífico Ocidental)
Assunto principal:
Algoritmos
/
Processamento de Sinais Assistido por Computador
/
Reconhecimento Automatizado de Padrão
/
Análise por Conglomerados
/
Interpretação Estatística de Dados
/
Modelos Estatísticos
/
Dinâmica não Linear
/
Fractais
/
Entropia
/
Eletromiografia
Tipo de estudo:
Fatores de risco
Limite:
Humanos
Idioma:
Inglês
Revista:
Journal of Zhejiang University. Science. B
Ano de publicação:
2006
Tipo de documento:
Artigo