Feasibility study of EEG signals for asynchronous BCI system applications

This paper outlines the experimental procedure and results in determining what types of asynchronous EEG signals are feasible for application to low-cost, real-time BCI systems. It describes the process used to select appropriate signals for testing and the experimental design for determining the feasibility of these signals and their sensitivity to environmental conditions. The results determined that of the three signals tested (occipital alpha waves, frontal theta waves, and frontal muscular signals), the occipital alpha and the frontal muscular signals are feasible to detect due to their high signal-to-noise ratio and insensitivity to environmental conditions.