Qiao W, Sun H H, Chey W Y, Lee K Y
School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA.
Ann Biomed Eng. 1998 Nov-Dec;26(6):1072-81. doi: 10.1114/1.27.
This paper presents an application of the continuous wavelet transform (CWT) in the analysis of electrogastrographic (EGG) signals. Due to the nonstationary nature of EGG signals, the CWT method, which uses multiresolution scaled windows, gives a better time-frequency resolution than the short-time Fourier transform, which uses a fixed window. Spike activity due to gastric contraction was investigated through experiments on dogs. During spike activity we observed an increase in magnitude of the slow wave and the appearance of a low frequency component with half the frequency of the slow wave. Studies of the EGG signals from the small intestine are also presented to investigate the hypothesis that its slow wave might be confounded with spike activity in the stomach due to the similarity of their frequency ranges.
本文介绍了连续小波变换（CWT）在胃电图（EGG）信号分析中的应用。由于EGG信号的非平稳特性，使用多分辨率缩放窗口的CWT方法比使用固定窗口的短时傅里叶变换具有更好的时频分辨率。通过对狗的实验研究了胃收缩引起的尖峰活动。在尖峰活动期间，我们观察到慢波幅度增加，并且出现了频率为慢波一半的低频成分。还介绍了对来自小肠的EGG信号的研究，以探讨由于其频率范围相似，小肠慢波可能与胃中的尖峰活动混淆的假设。
