title: Diagnosis of insomnia sleep disorder using short time frequency analysis of PSD approach applied on EEG signal using channel ROC-LOC.
abstract: Insomnia is a sleep disorder in which the subject encounters problems in sleeping. The aim of this study is to identify insomnia events from normal or effected person using time frequency analysis of PSD approach applied on EEG signals using channel ROC-LOC. In this research article, attributes and waveform of EEG signals of Human being are examined. The aim of this study is to draw the result in the form of signal spectral analysis of the changes in the domain of different stages of sleep. The analysis and calculation is performed in all stages of sleep of PSD of each EEG segment. Results indicate the possibility of recognizing insomnia events based on delta, theta, alpha and beta segments of EEG signals.
authors.affiliation: Research Scholar, Amity University, India.
authors.forename: Mohd Maroof
authors.initials: MM
authors.lastname: Siddiqui
authors.affiliation: Department of Electronics and Communication, Amity University, India.
authors.forename: Geetika
authors.initials: G
authors.lastname: Srivastava
authors.affiliation: Department of Electronics and Communication, Integral University, India.
authors.forename: Syed Hasan
authors.initials: SH
authors.lastname: Saeed
keywords: Analysis of EEG Signal; Classification of Insomnia; EEG, Electro Encephalogram; Estimation of PSD; PSD, Power spectrum Density; ROC-LOC, Right of Central & Left of Central