[1]师黎,王丽佳..小波变换在心电信号处理及特征提取中的应用[J].郑州大学学报(工学版),2006,27(02):65-69.[doi:10.3969/j.issn.1671-6833.2006.02.016]
　Shi Li,Wang Lijia.Application of wavelet transform in ECG signal processing and feature extraction[J].Journal of Zhengzhou University (Engineering Science),2006,27(02):65-69.[doi:10.3969/j.issn.1671-6833.2006.02.016]
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小波变换在心电信号处理及特征提取中的应用()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
27
期数:
2006年02期
页码:
65-69
栏目:
出版日期:
1900-01-01

文章信息/Info

Title:

Application of wavelet transform in ECG signal processing and feature extraction
作者:
师黎; 王丽佳.
郑州大学电气工程学院,河南,郑州,450002, 郑州大学电气工程学院,河南,郑州,450002
Author(s):
Shi Li; Wang Lijia
关键词:
小波变换;  滤波;  特征提取;  心电信号
Keywords:
DOI:
10.3969/j.issn.1671-6833.2006.02.016
文献标志码:
A
摘要:
首先利用小波变换方法,滤除心电信号中各种干扰,包括工频干扰、肌电干扰和基线漂移等.再用基于haar的连续小波变换方法对R波峰值进行特征提取.然后根据医生的临床经验需要,提出了一种交互式提取ST段的方案.最后对心电信号发生器产生的心电信号进行实验,实验结果表明:用连续小波变换方法对R波峰值进行定位准确度可达到99.84%,用交互式方法对ST段特征点的定位比较准确,采用小波变换方法滤波对低频基漂也有较好的滤波效果,能克服信号-噪声频带重叠.
Abstract:
Firstly, the wavelet transform method is used to filter out various interferences in the ECG signal, including power frequency interference, myoelectric interference and baseline drift. Then, the continuous wavelet transform method based on haar is used to extract the R wave peak. Then, according to the needs of doctors’ clinical experience, a scheme for interactive extraction of ST segments is proposed. Finally, the ECG signal generated by the ECG signal generator is experimented, and the experimental results show that the accuracy of locating the R wave peak by continuous wavelet transform method can reach 99.84%, the positioning of ST segment feature points by interactive method is more accurate, and the wavelet transform method filtering has a good filtering effect on low-frequency fundamental drift, which can overcome the signal-noise band overlap.

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更新日期/Last Update: 1900-01-01