| 基于小波的EMD去噪法应用于心电信号去噪 |
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| 引用本文： | 王英,曾光宇.基于小波的EMD去噪法应用于心电信号去噪[J].数值计算与计算机应用,2011,32(4):274-282. |
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| 作者姓名： | 王英 曾光宇 |
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| 作者单位： | 中北大学信息与通信工程学院,太原,030051 |
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| 摘 要： | 实测的心电信号不可避免地存在一些强干扰和噪声，如何在强背景干扰和噪声下准确提取出有用的心电信号，是心脏病智能诊断的一个重要内容．提出一种新的基于小波的EMD去噪方法，先将信号进行小波分解，将带噪信号分解为多个尺度的信号，然后再对其中某几层信号进行EMD分解，剔除其中的噪声模态分量，重构后得到去噪后的信号．最后分别利用仿真带噪心电信号和MIT／BIH心电噪声数据库信号进行验证，并与单独运用小波阈值法和EMD分解法比较去噪效果．结果表明，该方法优于其他两种方法，简单有效，且适于实际应用．
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| 关 键 词： | 心电信号 去噪处理 小波变换 经验模态分解 |
DE-NOSING PROCESSING OF ECG SIGNAL BASED ON COMPARED WITH WAVELET DE-NOISING AND THE EMD DE-NOISING IN QUALITATIVE AND QUANTITATIVE |
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| Wang Ying,Zeng Guangyu.DE-NOSING PROCESSING OF ECG SIGNAL BASED ON COMPARED WITH WAVELET DE-NOISING AND THE EMD DE-NOISING IN QUALITATIVE AND QUANTITATIVE[J].Journal on Numerical Methods and Computer Applications,2011,32(4):274-282. |
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| Authors: | Wang Ying Zeng Guangyu |
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| Affiliation: | Wang Ying Zeng Guangyu (School of Information and Communication Engineering,North University of China,Taiyuan 030051,China) |
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| Abstract: | There are inevitably strong disturbance and noise in the measured ECG signal.How to extract the ECG wave accurately with strong background disturbance and noise is an important part in the intelligent diagnosis of heart disease.In this paper,a new method based on compared with wavelet de-noising and the EMD de-noising in qualitative and quantitative presented.Firstly,the signal was disposed of wavelet decomposition and decomposed to multiple scales ones.Secondly,choose several layers of those signals,which ... |
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| Keywords: | ECG signal de-nosing processing wavelet transform Empirical Mode Decomposition |
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