Wavelet Based Optimized Polynomial Threshold Function for ECG Signal Denoising

被引：0

作者：

Tulsani, Hemant ^{[1
]}

Gupta, Rashmi ^{[2
]}

机构：

[1] Maharaja Agrasen Inst Technol, Elect & Commun Dept, Delhi 110086, India

[2] Ambedkar Inst Adv Commun Technol & Res, Elect & Commun Dept, Delhi 110031, India

来源：

2015 2ND INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM) | 2015年

关键词：

ECG signal; denoising; wavelets; thresholding; ABC algorithm; SHRINKAGE;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The Electrocardiogram (ECG) signal is a bio-signal which provides shows the electrical activity of the heart and provides information about the heart's condition. Data retrieval from ECG signal becomes a tough task when the signal is corrupted with noise. In this paper, denoising of ECG signal in wavelet domain using a polynomial based threshold function is proposed. The coefficients of the function are optimized using artificial bee colony (ABC) algorithm. The proposed function is compared with three existing functions, hard, soft and non-negative garrote threshold function. The performance parameters used are output signal to noise ratio, mean square error and cross correlation coefficient Performance is compared for two different ECG signals.

引用

页码：1563 / 1566

页数：4

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