A Proposal of Optimal Wavelet Filter Design for EGG Signal Decomposition based on Modified ABC Evolutionary Optimization

Electrogastrography (EGG) has a substantial importance for the clinical practice for examination of gastric disorders and the stomach function. From a view of the EGG signal processing, there is not a unified scheme for the EGG evaluation due to complex variable EGG representation. The most important issue of the EGG is an interference with other electrophysiological signals, particular attention is paid to the ECG (electrocardiography) signal. In this context, the Wavelet transformation gives satisfactory results. The main issue we have to deal with is an optimal setting of the Wavelet transformation for the EGG filtration. In this paper, we have proposed a novel scheme utilizing the modified Artificial Bee Colony algorithm with the goal of an optimal selection of the Wavelet filter design. Based on the ABC evolutionary process, we specify an optimal mother's wavelet and the decomposition level for the ECG reduction. The optimization procedure has been objectively verified by using selected evaluation parameters.