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- W2367332511 abstract "To remove the noise signal existing in the course of ECG signal data collecting,we proposed a method based on wavelet shrinkage to denoising ECG signal.First,the ECG signal was decomposed through the sym8 wavelet,secondly,the denoising of soft and hard thresholding and the wavelet reconstruction algorithm were used to remove the main noise.In order to avoid the Pseudo-Gibbs phenomena,a new thresholding function was used.The MIT ECG database was used to prove that the de-noising method adopting the new thresholding function can suppress the Pseudo-Gibbs phenomena,remove the noise effectively,and increase the SNR of ECG signal." @default.
- W2367332511 created "2016-06-24" @default.
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- W2367332511 date "2011-01-01" @default.
- W2367332511 modified "2023-09-23" @default.
- W2367332511 title "Analysis of ECG Signals Based on Wavelet Threshold De-noising" @default.
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