A real-time QRS detection method based on moving-averaging incorporating with wavelet denoising
A real-time QRS detection method based on moving-averaging incorporating with wavelet denoising
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DOI：
10.1016/j.cmpb.2005.11.012
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发表时间：
2006-06-01
影响因子：
6.1
通讯作者：
Chan, Hsiao-Lung
中科院分区：
文献类型：
--
作者：
Chen, Szi-Wen;Chen, Hsiao-Chen;Chan, Hsiao-Lung
本文提出了一种简单的基于滑动平均计算的QRS波实时检测方法。此外，对于信号预处理，我们的检测算法还采用了基于小波的去噪过程，以有效地降低噪声水平的心电图（ECG）数据。所提出的算法的整体计算结构允许QRS波检测被执行，并实现在实时与高的时间和存储器效率。根据MIT-BIH心律失常数据库评价算法性能。数值实验结果表明，该算法对标准数据库的检测率达到了99.5%，并且在ECG信号质量较差的情况下也能可靠地工作。(c)2006爱思唯尔爱尔兰有限公司保留所有权利。
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.