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Novel Burst Suppression Segmentation in the Joint Time-Frequency Domain for EEG in Treatment of Status Epilepticus
Joint Authors
Lee, Hyang Woon
Shin, Hyun-Chool
Lee, Jaeyun
Song, Woo-Jin
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-02
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Lee, Jaeyun& Song, Woo-Jin& Lee, Hyang Woon& Shin, Hyun-Chool. 2016. Novel Burst Suppression Segmentation in the Joint Time-Frequency Domain for EEG in Treatment of Status Epilepticus. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1100087
Modern Language Association (MLA)
Lee, Jaeyun…[et al.]. Novel Burst Suppression Segmentation in the Joint Time-Frequency Domain for EEG in Treatment of Status Epilepticus. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1100087
American Medical Association (AMA)
Lee, Jaeyun& Song, Woo-Jin& Lee, Hyang Woon& Shin, Hyun-Chool. Novel Burst Suppression Segmentation in the Joint Time-Frequency Domain for EEG in Treatment of Status Epilepticus. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1100087
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1100087