A Comparative Analysis of Various Wavelet Shrinkage Functions for ECG Signals

被引：0

作者：

Selvakumarasamy, K. ^{[1
]}

Chandra, S. Poorna ^{[2
]}

Amutha, R. ^{[2
]}

机构：

[1] Anna Univ, Chennai 600025, Tamil Nadu, India

[2] SNS Coll Engn, Dept ECE, Coimbatore, Tamil Nadu, India

来源：

2014 INTERNATIONAL CONFERENCE ON GREEN COMPUTING COMMUNICATION AND ELECTRICAL ENGINEERING (ICGCCEE) | 2014年

关键词：

Wavelet transform; Shrinkage function; Thresholding; ECG signal; SNR;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

ECG is the generally recognized biomedical signal for diagnostic purpose and it shows the electrical activity of the heart muscles. ECG is a non stationary signal where wavelet transform (WT) is useful for analyzing it. Denoising is the process of removing noise in order to preserve useful information. A comparative analysis of various wavelet shrinkage functions for ECG signal denoising such as soft and hard shrinkage functions, hyper shrinkage function, subband - adaptive shrinkage functions are discussed. The performance of the wavelet shrinkage functions are compared based on the signal to noise ratio (SNR) Value.

引用

页数：4

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