Wavelet decomposition method on EEG analysis of G-LOC phenomena

Abstract

Acceleration (+Gz) induced loss of consciousness (G-LOC) during high +Gz flight maneuvers continues to be a hazard for pilots of high performance aircraft. In the centrifuge studies, G-LOC detection of pilots flying under high +Gz forces is usually made by an observer outside of the gondola and therefore depends upon the reaction time and the alertness of the individual who does the monitoring. The authors propose to use the discrete wavelet transform together with the application of 1/f power distribution theory, to analyze the EEG signals of the pilot during high +Gz simulations. Analyzed by these algorithms, the EEG signal of pilot during G-LOC undergoes significant changes compared to the normal condition, and the authors further propose to classify the conditions of pilot under high +Gz into a set of states. This type of monitoring system may give the observer a cleat indication on the condition of the pilot without human error and in minimum reaction time.