Leman H, Marque C
Department of Biomedical Engineering, UMR CNRS 6600, Compiègne University of Technology (UTC), France.
IEEE Trans Biomed Eng. 2000 Aug;47(8):1010-7. doi: 10.1109/10.855927.
The electrohysterogram (EHG) signal is mainly corrupted by the mother's electrocardiogram (ECG), which remains present despite analog filtering during acquisition. Wavelets are a powerful denoising tool and have already proved their efficiency on the EHG. In this paper, we propose a new method that employs the redundant wavelet packet transform. We first study wavelet packet coefficient histograms and propose an algorithm to automatically detect the histogram mode number. Using a new criterion, we compute a best basis adapted to the denoising. After EHG wavelet packet coefficient thresholding in the selected basis, the inverse transform is applied. The ECG seems to be very efficiently removed.
子宫电图(EHG)信号主要受到母亲心电图(ECG)的干扰,尽管在采集过程中进行了模拟滤波,但心电图仍然存在。小波是一种强大的去噪工具,并且已经在EHG上证明了其有效性。在本文中,我们提出了一种采用冗余小波包变换的新方法。我们首先研究小波包系数直方图,并提出一种自动检测直方图模式数量的算法。使用一个新的准则,我们计算出适合去噪的最佳基。在所选基中对EHG小波包系数进行阈值处理后,应用逆变换。心电图似乎被非常有效地去除了。