Developing a fuzzy theta alpha neurofeedback for treatment of pre-sleep disorders

Abstract

Disturbance in transition from being awake to pre-sleep can cause sleep disorders. This situation may occur every day before falling asleep. We developed a theta/alpha neurofeedback to investigate successful and fast transition into pre-sleep. Successful transition into pre-sleep was verified by the corresponding decrease in the consciousness derived by decrease in pressure between thumb and index finger. Neurofeedback trials were categorized as successful or unsuccessful, based on success threshold which was obtained from prior trial for utilize in next trial. We developed a supervised fuzzy classifier based on data distribution pattern of transition from being awake to pre-sleep. A relaxing audio music was fed back by fuzzy classifier proportional to signature of T/A Power ratio over sessions. The results show neurofeedback has a significant effect on the pre-sleep onset and increase in T/A power ratio which means NF can be applied as useful treatment for sleep disorders.