ECG Signal Denoising Algorithm Based on Optimization Wavelet Transform

Abstract:

Wavelet transform algorithm with its unique multi-resolution analysis and it is in the time - frequency domain has the advantage of the ability to characterize the local signal characteristics, let it has been widely used in signal detection, noise removal, feature extraction, image compression and so on. In this paper, on the basis of already wavelet transform ECG noise removal, proposed a median filter optimization algorithm, enables ECG noise removal effect is more obvious, also for the Eigen values detection of ECG lay a better foundation.

• Periodical: Advanced Materials Research (Volumes 706-708)
• Pages: 785-788
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.706-708.785
• Online since: June 2013
• Authors: Guo Shun Yuan, Li Qing Geng
• Keywords: ECG Denoising, Median Filter, Wavelet Transform (WT)

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