Noise Reduction of Electrocardiographic Signals using Wavelet Transforms

被引：2

作者：

Qureshi, S. A. ^{[1
]}

Masood, I. ^{[1
]}

Hashmi, M. ^{[2
]}

Hanninen, S. ^{[2
]}

Sarwar, M. ^{[3
]}

Jameel, A. ^{[1
]}

机构：

[1] Univ Engn & Technol UET, Dept Elect Engn, Lahore, Pakistan

[2] VTT Tech Res Ctr Finland, Energy Syst Knowledge Ctr, FI-02044 Espoo, Finland

[3] Univ Punjab, Coll Informat Technol PUCIT, Lahore, Pakistan

来源：

ELEKTRONIKA IR ELEKTROTECHNIKA | 2014年 / 20卷 / 04期

关键词：

Electrocardiogram; de-noising; noise; stationary wavelet transform; signal-to-noise ratio;

D O I：

10.5755/j01.eee.20.4.6886

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

It has always been a critical issue to extract original signal having low signal-to-noise ratio (SNR) buried in heavy noise and interferences. Since the amplitude of the electrocardiogram (ECG) signal is smaller so while gathering and recording it may mix with various kinds of noises and interferences. In this paper, wavelet thresholding de-noising method based on stationary wavelet transform (SWT) is proposed in de-noising of ECG signal. In addition, this paper compares various de-noising methods to validate the proposed de-noising method. The improved de-noising method ensures that the geometrical characteristics of the original ECG are retained as well as efficiently suppresses additive noises. The experimental results reveal that the SWT method is better than traditional wavelet de-noising methods to maintain original shape of ECG waveform having improved SNR.

引用

页码：39 / 42

页数：4

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