Processing and analysis of bio-signals from human stomach

In this article, the electrogastrography is utilized to detect slow wave of gastric digest motility after test meal. In order to extract useful information, this study used multi-resolution method with the Daubechies wavelet function to decompose EGG signal into 9 layers. We reconstructed the slow wave with decomposed signal after digital signal processing to achieve method of the slow wave detection of EGG. During strong contraction of stomach, there is a significant increase in frequency spectrum and power spectrum of the slow wave frequency region. And power spectrum of time windows of slow wave bandwidth increases clearly. The contribution of this paper was that the filter of CWT and Fourier transform was used to obtain the bandwidth of slow wave, and the proposed method was compared with Chebyshev filter. By calculation and analysis of experimental data, the EGG slow wave detection method of wavelet-based motility of gastric digestion was verified to be effective, and also provided a better clinical method to monitor the state of stomach activities. This method is also can be applied to human medical sensor network which includes electrogastrography, electrocardiogram, thermometer, sphygmomanometer.