摘要
针对淹没在1/f分形噪声中的心电信号的R波检测问题,基于小波变换、W iener滤波与自适应差分阈值法,提出一种去除1/f分形噪声、检测心电信号中R波的方法。该方法先将带有1/f分形噪声的心电信号分解成多尺度的子带信号,通过小波变换对1/f分形噪声进行白化,然后利用自适应W iener滤波实现噪声和有用信号的分离,估计出各子带中的有用信号,利用小波重构恢复出有用的心电信号,最后利用改进的自适应差分阈值法检测心电信号中的R波。实验结果表明,该方法能有效地消除心电信号中的分形噪声,准确实时地检测出R波位置。
This paper proposes an algorithm for removing 1/f fractal noise and detecting ECG R-wave by using wavelet transform,Wiener filtering and adaptive differential threshold method.This method firstly decomposes the1/f fractal noise in ECG signal into a multi-scale sub-band signal,employs wavelet transform to whiten the 1/f fractal noise,then uses adaptive Wiener filtering to achieve the separation of noise from the received signals to estimate the desired signals of each sub-band,and then using wavelet reconstruction to restore the ECG signals.Finally,an adaptive differential threshold is used to detect the R-wave of the ECG signals.The simulation results show that the algorithm can effectively suppress the fractal noise in ECG signals,and accurately detect the real-time R-wave position.
出处
《重庆理工大学学报（自然科学）》
CAS
2010年第4期86-90,共5页
Journal of Chongqing University of Technology：Natural Science
基金
重庆市教委科技项目(KJ080614)
重庆理工大学博士科研启动基金项目(2007ZD16)
重庆理工大学教研项目(2008001)
