Comparative Approach to Detect Nocturnal Frontal Lobe Epilepsy Sleep Disorder through Frequency spectrum and its Energy Levels

Abstract

EEG data has proved to reflect the activities of the brain over all the sections with respect to human activities. It is useful in both cases that are in awakening states and in the sleep stage. Most of 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 NFLE (Nocturnal Frontal Lobe Epilepsy) patients and normal persons. After experimentation, it is found that the percentage of energy levels may be considered as a parameter to distinguish healthily and defected EEG data due to sleep disorder. During this study, it is also found that S0 is proved to be helpful in the diagnosis of NFLE sleep disorder because in this stage the percentage energy level is to be high for alpha waves for patients having a sleep disorder. The results show that the average percentage energy level in NFLE patient is 0.009872 while in normal cases it is 0.0010148.