摘要
目的:避免传统小波变换基于卷积算法中的冗余计算,同时去除心电信号(ECG)在采集中混入其中的基线漂移噪声。方法:根据提升小波变换采取双小波基函数结合的方法,经分解、含噪声子带系数置零、逆变换形成去噪的心电信号。结果:运用MATLAB环境对MIT-BIH数据库提供的心电信号数据及基线漂移噪声信号bw进行去除基线漂移仿真验证,其基线漂移均被有效去除。结论:ECG信号经该方法处理后其所含有的基线漂移噪声被准确去除,且原信号中的波形信息被有效保留,可为心电信号特征参数的检测提供帮助。
Objective：To avoid the redundant computation based on the convolution operation in the traditional wavelet transform, and to remove the baseline wander noise existing in the course of collecting the ECG signal. Methods： Use the lifting wavelet transform with two wavelets, and constitute the ECG signal with the noise removed after decomposing, setting the subband coefficient including the noise to zero, and rebuilding. Results：Use MATLAB to remove the baseline wander noise in the ECG signal and bw provided by the MIT-BIH database, and the results show that the baseline wander was removed effectively. Conclusion：The baseline wander noise in the ECG signal can be removed accurately though the method mentioned above, the waveform information in the original ECG signal can be maintained effectively, and subsequently, that can provide help for detecting the characteristic parameters in the ECG signal.
出处
《中国医学装备》
2014年第3期16-19,共4页
China Medical Equipment
基金
教育部博士点基金(20106201110003)"压缩域检索与挖掘关键技术研究"
关键词
心电信号
基线漂移
提升小波
特征参数
Electrocardiogram
Baseline wander
Lifting wavelet
Characteristic parameters
