title: Novel Burst Suppression Segmentation in the Joint Time-Frequency Domain for EEG in Treatment of Status Epilepticus.
abstract: We developed a method to distinguish bursts and suppressions for EEG burst suppression from the treatments of status epilepticus, employing the joint time-frequency domain. We obtained the feature used in the proposed method from the joint use of the time and frequency domains, and we estimated the decision as to whether the measured EEG was a burst segment or suppression segment by the maximum likelihood estimation. We evaluated the performance of the proposed method in terms of its accordance with the visual scores and estimation of the burst suppression ratio. The accuracy was higher than the sole use of the time or frequency domains, as well as conventional methods conducted in the time domain. In addition, probabilistic modeling provided a more simplified optimization than conventional methods. Burst suppression quantification necessitated precise burst suppression segmentation with an easy optimization; therefore, the excellent discrimination and the easy optimization of burst suppression by the proposed method appear to be beneficial.
authors.affiliation: Department of Electrical Engineering, POSTECH, Pohang, Gyeongbuk, Republic of Korea.
authors.forename: Jaeyun
authors.initials: J
authors.lastname: Lee
authors.affiliation: Department of Electrical Engineering, POSTECH, Pohang, Gyeongbuk, Republic of Korea.
authors.forename: Woo-Jin
authors.initials: WJ
authors.lastname: Song
authors.affiliation: Department of Neurology, Ewha Womans University School of Medicine and Ewha Medical Research Institute, Seoul, Republic of Korea.
authors.forename: Hyang Woon
authors.initials: HW
authors.lastname: Lee
authors.affiliation: Department of Electronic Engineering, Soongsil University, Seoul, Republic of Korea.
authors.forename: Hyun-Chool
authors.identifier: 0000-0002-4839-0445
authors.initials: HC
authors.lastname: Shin
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D004569:Electroencephalography; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D016013:Likelihood Functions; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D016011:Normal Distribution; D011336:Probability; D015203:Reproducibility of Results; D013226:Status Epilepticus / Q000000981:diagnostic imaging* / Q000503:physiopathology