Sleep Disorder Diagnosis through Frequency based EEG Energy Level Patterns

Abstract

EEG data has proved to reflect the activities of brain over all the section with respect to human activities. They are useful in both cases that is in awakening states and in sleep stage. Most of the brain disease is due to the deterioration of brain cells. In this research work, EEG data is used to generate some frequency based energy level features for RBD patients and normal persons. After experimentation, It is found that percentage of energy levels may be considered as parameter to distinguish healthy and defected EEG data due to sleep disorder. During this study, it is also found that S0 is proved to be helpful in diagnosis of RBD sleep disorder because in this stage the percentage energy level is found to be low for alpha waves for patients having sleep disorder. The results shows that the average percentage energy level in RBD patient is 0.1139 while in normal cases it is 0.1530 during alpha activity.