Title of article :
Novel Burst Suppression Segmentation in the Joint Time-Frequency Domain for EEG in Treatment of Status Epilepticus
Author/Authors :
Lee, Jaeyun Department of Electrical Engineering - Pohang - Gyeongbuk, Republic of Korea , Song, Woo-Jin Department of Electrical Engineering - Pohang - Gyeongbuk, Republic of Korea , Lee, Hyang Woon Department of Neurology - Ewha Womans University School of Medicine and Ewha Medical Research Institute - Seoul, Republic of Korea , Shin, Hyun-Chool Department of Electronic Engineering - Soongsil University - Seoul, Republic of Korea
Pages :
12
From page :
1
To page :
12
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.
Keywords :
EEG , Epilepticus , Joint , Time-Frequency
Journal title :
Computational and Mathematical Methods in Medicine
Serial Year :
2016
Full Text URL :
Record number :
2606430
Link To Document :
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