An Adaptive Filter Denoising Based on Wavelet Transform Applied in ECG Signal

Qian Xiao

doi:10.4028/www.scientific.net/AMR.610-613.2521

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 610-613An Adaptive Filter Denoising Based on Wavelet...

An Adaptive Filter Denoising Based on Wavelet Transform Applied in ECG Signal

Abstract:

Due to the fact that it is not easy to filter out the spectrum overlap noise between noisy signal and noise by using the traditional wavelet method, an adaptive filter model based on the wavelet transform is constructed in this paper. In the new filter, the adaptive filter is used to filter out noise secondary on the basis of wavelet denoising on the original noise signal. The experimental results show that the filter can effectively remove the noise. The new filter is applied to the denoising of the ECG signal, achieving a better filtering effect.

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Periodical:

Advanced Materials Research (Volumes 610-613)

Pages:

2521-2524

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.610-613.2521

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Online since:

December 2012

Authors:

Qian Xiao

Keywords:

Adaptive Filter, De-Noising, ECG Signal, Wavelet Transform (WT), Weight Factor

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