Wavelet Based De-Noising Using Self-Optimizing Method for ECG Signal

Fang Yu Xiao; Wei Tang; Na Fu

doi:10.4028/www.scientific.net/AMM.416-417.1214

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 416-417Wavelet Based De-Noising Using Self-Optimizing...

Wavelet Based De-Noising Using Self-Optimizing Method for ECG Signal

Abstract:

This paper presents a new ECG demising algorithm based on the self-optimizing method. This paper discusses the optimum threshold concept and the optimum threshold is decided by signal and threshold function. Based on the concept, this paper provides the ECG optimal method concrete steps. Through the dead value at high frequency phenomenon that is observed by experiment can identify the terminal value. Experiments show that the proposed method improves the signal-to-noise ratios. Moreover, the de-noising signals have a smooth and visual appearance.

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Periodical:

Applied Mechanics and Materials (Volumes 416-417)

Pages:

1214-1219

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.416-417.1214

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Online since:

September 2013

Authors:

Fang Yu Xiao, Wei Tang, Na Fu

Keywords:

Dead Value at High Frequency, Self-Optimizing, Signal De-Noising, Threshold, Threshold Function

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