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Pulse signal processing based on continuous wavelet transform / 生物医学工程学杂志
Journal of Biomedical Engineering ; (6): 469-472, 2004.
Artículo en Chino | WPRIM | ID: wpr-291086
ABSTRACT
Using the common algorithm and the Mellin algorithm of a continuous wavelet transform, we analyzed the pulse signals of 15 heroin addicts and 15 normal persons. With the use of two algorithms, every pulse signal was processed under 4 scales. From the analyzed results, we found that there was significant difference of wavelet transform coefficients in the time interval 0.2 to approximately 0.4 seconds between the heroin addicts and normal persons. In this paper, the critical parameter used to classify heroin addicts and normal persons is given to every algorithm. The research result of this paper shows that the continuous wavelet transform is really an effective method for processing pulse signals.
Asunto(s)
Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Asunto principal: Pulso Arterial / Algoritmos / Procesamiento de Señales Asistido por Computador / Diagnóstico por Computador / Dependencia de Heroína / Medicina Tradicional China Tipo de estudio: Estudio diagnóstico Límite: Humanos Idioma: Chino Revista: Journal of Biomedical Engineering Año: 2004 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Asunto principal: Pulso Arterial / Algoritmos / Procesamiento de Señales Asistido por Computador / Diagnóstico por Computador / Dependencia de Heroína / Medicina Tradicional China Tipo de estudio: Estudio diagnóstico Límite: Humanos Idioma: Chino Revista: Journal of Biomedical Engineering Año: 2004 Tipo del documento: Artículo