2018
DOI: 10.1109/tbme.2017.2771468
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Automated Detection of Postictal Generalized EEG Suppression

Abstract: Although there is no strict consensus, some studies have reported that Postictal generalized EEG suppression (PGES) is a potential electroencephalographic (EEG) biomarker for risk of sudden unexpected death in epilepsy (SUDEP). PGES is an epoch of EEG inactivity after a seizure, and the detection of PGES in clinical data is extremely difficult due to artifacts from breathing, movement and muscle activity that can adversely affect the quality of the recorded EEG data. Even clinical experts visually interpreting… Show more

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Cited by 31 publications
(35 citation statements)
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“…These factors likely contribute to the limited inter-reader reliability of PGES. 30 A combined approach may be preferred for future studies.…”
Section: Discussionmentioning
confidence: 99%
“…These factors likely contribute to the limited inter-reader reliability of PGES. 30 A combined approach may be preferred for future studies.…”
Section: Discussionmentioning
confidence: 99%
“…Presence and duration of postictal generalized EEG suppression (PGES) 20 were determined by a validated automated EEG suppression detection tool 21 and supplemented by visual analysis by 2 epilepsy neurophysiologists when the tool gave no solution. Presence and duration of postictal EEG burst suppression were also determined.…”
Section: Cardiorespiratory Monitoring and Veeg Monitoringmentioning
confidence: 99%
“…There are discrepancies even amongst experts in PGES identification (Theeranaew et al, 2018). PGES duration was assessed automatically using a custom MATLAB (Mathworks) script and event-related spectral perturbation (ERSP) time-frequency spectral decompositions of the preictal, ictal, and post-ictal period in the MATLAB EEGlab toolbox (Swartz Center for Computational Neuroscience, San Diego, CA).…”
Section: Pges Determinationmentioning
confidence: 99%