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A study of ECG combination detection algorithm based on wavelet transform and morphological method / 生物医学工程学杂志
Journal of Biomedical Engineering ; (6): 788-790, 2004.
Article in Chinese | WPRIM | ID: wpr-342611
ABSTRACT
In order to deal with the disadvantages in ECG waveform detection by wavelet harr transform at level 3, we put forward a new set of algorithm which combines wavelet transform (WT) and morphological peak and valley detection. The combination algorithm can make up the limitation in detecting ECG swing by WT and improve the accuracy of ECG waveform detection effectively.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Algorithms / Signal Processing, Computer-Assisted / Electrocardiography Type of study: Diagnostic study / Prognostic study Limits: Humans Language: Chinese Journal: Journal of Biomedical Engineering Year: 2004 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Algorithms / Signal Processing, Computer-Assisted / Electrocardiography Type of study: Diagnostic study / Prognostic study Limits: Humans Language: Chinese Journal: Journal of Biomedical Engineering Year: 2004 Type: Article