Key result
Short-time PSD analysis of EEG signals shows potential to identify insomnia events across frequency segments.
Why the study?
Insomnia is a sleep disorder characterized by problems in sleeping, and identifying insomnia events using EEG signal analysis is needed.
Can short time frequency analysis of PSD applied on EEG signals identify insomnia events?
Observational
Can short time frequency analysis of PSD applied on EEG signals identify insomnia events?
Short time frequency analysis of PSD applied to EEG signals may be useful for identifying insomnia events.
PSD analysis of ROC-LOC EEG may aid insomnia detection; hypothesis-generating and requires validation before clinical use.
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.
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Siddiqui et al. (2016) conducted an observational in Insomnia. Short time frequency analysis of PSD approach applied on EEG signal using channel ROC-LOC was evaluated on Identification of insomnia events. Short time frequency analysis of PSD applied on EEG signals using channel ROC-LOC indicated the possibility of recognizing insomnia events based on delta, theta, alpha, and beta segments.
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