Short time frequency analysis of theta activity for the diagnosis of bruxism on EEG sleep record

Abstract

Sleep is the important part of the living organism. If the normal humans do not sleep properly so its generate many diseases. Bruxism is a neurological or sleep syndrome. Its individuals involuntarily grind the teeth. Bruxism covered in 8–31% of the whole sleep disorders like Insomnia, Narcolepsy etc. The present research focused on three steps such as data selection, filtration, and normalized value of theta activity. Additionally, the three sleep stages of non rapid eye movement such as S0, S1, S2 and rapid eye movement. In addition to parietal occipital (P4-O2) Electroencephalogram (EEG), channels are used in the present work. The total number of eighteen subjects such as bruxism and healthy human studied to this work. The average value of the normal human’s theta activity is higher than bruxism in all sleep stages such as S0, S1, S2 and rapid eye movement. Moreover, the proposed research is in accurate than other traditional system.