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Nonlinear detection method of ECG using wavelet transform / 医疗卫生装备
Chinese Medical Equipment Journal ; (6)1989.
Article in Chinese | WPRIM | ID: wpr-583660
ABSTRACT
The nonlinear wavelet method is used to detect ECG signal. The ECG signal disrupted by high-frequency noise is decomposed with a dyadic Daubechies wavelet according to Mallat algorithm. The principle of the nonlinear wavelet detection method is discussed. Along with the Lipschitz criterion, it is applied to denoising the disrupted ECG signal. The ECG signal is effectively recovered while denoised.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study Language: Chinese Journal: Chinese Medical Equipment Journal Year: 1989 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study Language: Chinese Journal: Chinese Medical Equipment Journal Year: 1989 Type: Article