@article{1543ca98e5f54a5fba406bc0fe7458b7,
title = "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 the EEG will have diverse opinions on the start and end of PGES for a given patient. The development of an automated EEG suppression detection tool can assist clinical personnel in the review and annotation of seizure files, and can also provide a standard for quantifying PGES in large patient cohorts, possibly leading to further clarification of the role of PGES as a biomarker of SUDEP risk. In this paper, we develop an automated system that can detect the start and end of PGES using frequency domain features in combination with boosting classification algorithms. The average power for different frequency ranges of EEG signals are extracted from the prefiltered recorded signal using the fast fourier transform and are used as the feature set for the classification algorithm. The underlying classifiers for the boosting algorithm are linear classifiers using a logistic regression model. The tool is developed using 12 seizures annotated by an expert then tested and evaluated on another 20 seizures that were annotated by 11 experts.",
keywords = "Boosting algorithm, SUDEP, epilepsy, post-ictal generalized EEG suppression (PGES)",
author = "Wanchat Theeranaew and James McDonald and Bilal Zonjy and Farhad Kaffashi and Moseley, {Brian D.} and Daniel Friedman and Elson So and James Tao and Maromi Nei and Philippe Ryvlin and Rainer Surges and Roland Thijs and Stephan Schuele and Samden Lhatoo and Loparo, {Kenneth A.}",
note = "Funding Information: Manuscript received July 8, 2017; accepted November 1, 2017. Date of publication November 8, 2017; date of current version January 18, 2018. This work was supported by the U.S. Department of Health and Human Services under Grants NIH/NINDS U01-NS090405 and NIH/NINDS U01-NS090408.(Corresponding author: Wanchat Theeranaew.) W. Theeranaew is with the Department of Electrical Engineering, Case Western Reserve University, Cleveland, OH 44106 USA. (e-mail: wanchat.theeranaew@case.edu). J. McDonald and F. Kaffashi are with the Department of Electrical Engineering, Case Western Reserve University. B. Zonjy is with the Department of Neurosciences, Case Western Reserve University. B. D. Moseley is with University of Cincinnati Medical Center. D. Friedman is with NYU Comprehensive Epilepsy Center, Comprehensive Epilepsy Center. E. So is with the Department of Neurology, Mayo Clinic. J. Tao is with the Department of Neurology, University of Chicago Medicine. M. Nei is with the Jefferson Comprehensive Epilepsy Center, Thomas Jefferson University. P. Ryvlin is with the Department of Clinical Neuroscience, B{\^a}timent hospitalier principal. R. Surges is with the Section of Epileptology, Department of Neurology, RWTH University Hospital. R. D. Thijs is with the Department of Neurology, Leiden University Medical Centre. S. Schuele is with the Department of Neurology, Northwestern University Feinberg School of Medicine. S. Lhatoo is with the Neurology Department, University Hospitals of Cleveland and also with NIH Center for SUDEP Research. K. A. Loparo is with the Department of Electrical Engineering, Case Western Reserve University and also with NIH Center for SUDEP Research. Digital Object Identifier 10.1109/TBME.2017.2771468 Publisher Copyright: {\textcopyright} 1964-2012 IEEE.",
year = "2018",
month = feb,
doi = "10.1109/TBME.2017.2771468",
language = "English (US)",
volume = "65",
pages = "371--377",
journal = "IRE transactions on medical electronics",
issn = "0018-9294",
publisher = "IEEE Computer Society",
number = "2",
}