Diagnosis of narcolepsy sleep disorder for different stages of sleep using Short Time Frequency analysis of PSD approach applied on EEG signal

摘要

Narcolepsy is a sleep disorder in which the subject's brain is chronically unable to regulate sleep-wake cycles. This study aims at identifying narcoleptics from normal individuals. Our approach involves implementation of Short Time Frequency analysis of PSD approach applied on EEG signals, post filtering ROC-LOC channels. In this research article, a comprehensive analysis of EEG signals for S0, S2 and S3 stages of sleep has been performed. The analysis and calculation is performed in all stages of sleep and a comparative database, with Power Spectral Density comparisons between healthy and affected individuals, been prepared. Hence segregation of narcoleptic occurrence events based on delta and alpha segments, of EEG signals, has been successfully performed herein.