A real-time QRS detection method based on moving-averaging incorporating with wavelet denoising

被引：177

作者：

Chen, Szi-Wen ^{[1
]}

Chen, Hsiao-Chen ^{[1
]}

Chan, Hsiao-Lung ^{[1
]}

机构：

[1] Chang Gung Univ, Dept Elect Engn, Taoyuan 333, Taiwan

来源：

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 2006年 / 82卷 / 03期

关键词：

electrocardiogram (ECG); moving average; QRS detection; wavelet denoising;

D O I：

10.1016/j.cmpb.2005.11.012

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, a simple moving average-based computing method for real-time QRS detection is proposed. In addition, for signal preprocessing our detection algorithm also incorporates a wavelet-based denoising procedure to effectively reduce the noise level for electrocardiogram (ECG) data. The overall computational structure of the proposed algorithm allows the QRS detection to be performed and implemented in real-time with high time- and memory-efficiency. Algorithm performance was evaluated against the MIT-BIH Arrhythmia Database. The numerical results indicated that the novel algorithm finally achieved about 99.5% of the detection rate for the standard database, and also, it could function reliably even under the condition of poor signal quality in the measured ECG data. (c) 2006 Elsevier Ireland Ltd. All rights reserved.

引用

页码：187 / 195

页数：9

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