| 基于形态学和提升小波的心电信号去噪方法研究 |
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| 引用本文： | 张磊磊,孙朋,林金朝,罗志勇,李国权,庞宇.基于形态学和提升小波的心电信号去噪方法研究[J].北京理工大学学报,2015,35(S1):92-95. |
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| 作者姓名： | 张磊磊 孙朋 林金朝 罗志勇 李国权 庞宇 |
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| 作者单位： | 重庆邮电大学 光电信息感测与传输技术重庆市重点实验室, 重庆 400065,解放军309医院, 北京 100091,重庆邮电大学 光电信息感测与传输技术重庆市重点实验室, 重庆 400065,重庆邮电大学 光电信息感测与传输技术重庆市重点实验室, 重庆 400065,重庆邮电大学 光电信息感测与传输技术重庆市重点实验室, 重庆 400065,重庆邮电大学 光电信息感测与传输技术重庆市重点实验室, 重庆 400065 |
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| 基金项目： | 国家自然科学基金资助项目(61471075);重庆高校创新团队建设计划(智慧医疗系统与核心技术创新团队)项目 |
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| 摘 要： | 心电信号是一种典型的微弱信号,含有大量噪声,还具有强烈的非线性和非平稳性.针对传统小波计算量大,很难同时将心电信号中高频和低频噪声去除的问题,提出一种结合形态学与提升小波阈值去噪的算法,通过形态学滤波器去除信号的低频噪声,提升小波阈值去噪法去除信号中的高频噪声.经过对MIT-BIH心律失常数据库中的心电信号进行仿真,结果表明,结合形态学算法与提升小波去噪算法的去噪方法,能同时有效去除信号中的低频和高频噪声,提高了心电信号的质量.
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| 关 键 词： | 心电图 形态滤波 小波阈值去噪 |
| 收稿时间： | 2015/3/20 0:00:00 |
Research of Removing Noise In ECG Signal Based on Morphology and Lifting Wavelet |
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| ZHANG Lei-lei,SUN Peng,LIN Jin-chao,LUO Zhi-yong,LI Guo-quan and PANG Yu.Research of Removing Noise In ECG Signal Based on Morphology and Lifting Wavelet[J].Journal of Beijing Institute of Technology(Natural Science Edition),2015,35(S1):92-95. |
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| Authors: | ZHANG Lei-lei SUN Peng LIN Jin-chao LUO Zhi-yong LI Guo-quan and PANG Yu |
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| Affiliation: | Chongqing Municipal Level Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China,The 309th Hospital of Chinese People's Liberation Army, Beijing 100091, China,Chongqing Municipal Level Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China,Chongqing Municipal Level Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China,Chongqing Municipal Level Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China and Chongqing Municipal Level Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China |
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| Abstract: | ECG is a typical weak noise-corrupted signal, with strong non-linear and non-stationary feature. It is difficult for traditional wavelet de-noise algorithm to remove the high- and low- frequency noise concurrently and the computation expense is large. The method that combines morphology and lifting wavelet threshold de-noise is able to remove the low frequency noise by a morphological filter and suppress the high frequency noise by the lifting wavelet de-noise. Based on the data from MIT-BIH arrhythmia database, the simulation results show that the proposed method is capable to remove the high- and low-frequency noise of the ECG signal concurrently and improve the ECG signal quality. |
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| Keywords: | electrocardiography (ECG) morphological filtering lifting wavelet threshold de-noise |
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