Independent Component Analysis of Electrogastrographic Signals
Peter Hubka, V. Rosík, Milan Tyšler, I Hulín · 2005
Abstract. Electrogastrogram (EGG) is a noninvasive recording of the electrical activity of the stomach. Dominant component of gastric electrical activity called also slow waves originates from the activity of the network of interstitial cells of Cajal located in the gastric wall. The electrogastrographic signal requires longer recording times (usually tens of minutes) due to the low frequency of the slow waves (0.05 Hz). Furthermore, EGG is weaker signal when compared to the other biogenic signals (ECG, respiratory signal). Thus, EGG is usually contaminated by artifacts and other signals, which are sometimes difficult to remove. In the present study, independent component analysis (ICA), as a method for blind source separation, is used for artifact removal and biological signal separation. ICA was applied on 4-channel EGG signal recorded by custom made recording device. Our analysis proves that ICA is able to successfully separate different types of signals (motion artifact, oscillating transients) from the original EGG recordings. We can conclude that ICA could potentially improve further analysis of EGG signal and enhance its interpretation.