Summary
International Technical Conference on Circuits/Systems, Computers and Communications
2016
Session Number:W2-2
Session:
Number:W2-2-2
Burst Suppression Pattern Recognition Using Time-Frequency Analysis
Jaeyun Lee, Woo-Jin Song, Hyun-Chool Shin ,
pp.799-802
Publication Date:2016/7/10
Online ISSN:2188-5079
Summary:
We developed a method to recognize EEG burst suppression in 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 a maximum likelihood estimation. We evaluated the performance of the proposed method in terms of its accordance to the visual score and estimation of the burst suppression ratio. The accuracy was higher than the sole use of the time domain, as well as conventional methods conducted in the time domain. In addition, probabilistic modeling provided a more simplified optimization than conventional methods. Quantification of burst suppression necessitated precise burst suppression segmentation with an easy optimization; therefore, the excellent discrimination of burst suppression by the proposed method appears beneficial.