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基于形态学的ECG小波自适应去噪算法
引用本文:赵志华,许爱华. 基于形态学的ECG小波自适应去噪算法[J]. 计算机工程与设计, 2008, 29(8): 2140-2142
作者姓名:赵志华  许爱华
作者单位:大庆石油学院,电气信息工程学院,黑龙江,大庆,163318
基金项目:黑龙江省教育厅科学技术研究项目
摘    要:为了消除心电信号中的噪声,提高心电监护仪的性能和计算机自动诊断效率,已经提出了多种方法来消除这些噪声.针对常规的ECG信号去噪算法存在的缺陷,提出了一种基于形态学的小波自适应去噪算法.该算法利用线性组合形态学滤波器去除基线漂移信号,然后对处理后无基漂的信号送入小波自适应滤波器,选取合适的阚值对其进行二次滤波去噪,最后得到无噪声的ECG信号.实验结果表明,该算法是一种有效的去噪算法.

关 键 词:形态学滤波  小波滤波  自适应滤波  心电信号  阈值去噪
文章编号:1000-7024(2008)08-2140-03
修稿时间:2007-05-12

ECG adaptive wavelet transform of denoising algorithm based on morphology
ZHAO Zhi-hua,XU Ai-hua. ECG adaptive wavelet transform of denoising algorithm based on morphology[J]. Computer Engineering and Design, 2008, 29(8): 2140-2142
Authors:ZHAO Zhi-hua  XU Ai-hua
Affiliation:ZHAO Zhi-hua,XU Ai-hua(Academy of Electric Information Engineering,Daqing Petroleum Institute,Daqing 163318,China)
Abstract:The ratio of signal noise is lower.In order to eliminate the noise in ECG,improve the performance of ECG monitors and increase the diagnosis efficiency of computer-aided systems,various kinds of noise rejection methods are proposed.Since there are some shorting with general denoising algorithms,an adaptive wavelet transform of ECG denoising algorithm based on morphology is proposed to improve the shorting.The algorithm removes the baseline drift of the incoming ECG signals with morphology filter,then an ada...
Keywords:morphological filter  wavelet transform filter  adaptive filter  ECG  thresholding de-noising  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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