ABSTRACT
Electrogastrography (EGG) is a method for recording electrical potentials originating from the smooth stomach muscles. Though normal gastric rhythm at the first glance appears relatively simple in nature resembling sinusoidal shape, the main drawbacks for wider application of EGG technique are low frequencies (dominant frequency of normal gastric rhythm is around 0.05 Hz) and low amplitudes (approximately in range from 0.1 mV to 0.5 mV) making it vulnerable to noises, especially to the motion artifacts. This chapter introduces practical considerations for EGG signal processing for simulator sickness assessment with fundamentals of the signal origin and the recording methodology. The landscape of EGG analysis based on the existing body of knowledge reveals EGG potential and urges on EGG standardization required for reusability and replicability of EGG signal processing techniques. The processing workflows in static and dynamic conditions with some practical considerations are proposed. Finally, the chapter tackles possible directions towards development of novel methods for noise elimination and feature extraction for EGG-based simulator sickness assessment.
