Adaptive independent component analysis of multichannel electrogastrograms

The electrogastrogram (EGG), a cutaneous measurement of gastric electrical activity, can be severely contaminated by endogenous biological noise sourc es such as respiratory signal. Therefore it is important to establish effec tive artifact removal methods. In this paper, a novel blind signal separati on method with a flexible non-linearity is introduced and applied to extrac t the gastric slow wave from multichannel EGGs. Simulation results show tha t our algorithm is able to separate a wide range of source signals, includi ng mixtures of Gaussian sources. On real data, we demonstrate the successfu l applications of our procedure to extract the gastric slow wave from multi channel EGGs. As a result, the extracted clean gastric slow wave can be use d to facilitate further analysis. e.g. as a reference signal for multichann el adaptive enhancement of the EGG. (C) 2001 IPEM. Published by Elsevier Sc ience Ltd. All rights reserved.