Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2006.06a
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- Pages.819-820
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- 2006
Detection of the Arousal Using EEG and Time-Frequency Analysis
뇌전도와 시-주파수 분석을 이용한 수면 중 각성 검출
- Cho, Sung-Pil (Dept. of Biomedical Engineering, Yonsei Univ.) ;
-
Choi, Ho-Seon
(Dept. of Medical Information System, Daewon Science College)
;
- Myoung, Hyoun-Seok (Dept. of Biomedical Engineering, Yonsei Univ.) ;
- Lee, Kyoung-Joung (Center for Emergency Medical Informatics)
- Published : 2006.06.21
Abstract
The purpose of this study is to develop an automatic algorithm to detect the arousal events. The proposed method is based on time-frequency analysis and the support vector machine classifier using single channel electroencephalogram. To extract features, first we computed 6 indices to find out the information of sleep states. Next powers of each of 4 frequency bands were computed using spectrogram of arousal region. And finally we computed variations of power of EEG frequency to detect arousals. The performance has been assessed using polysomnographic recordings of twenty patients with sleep apnea, snoring and excessive daytime sleepiness. We have shown that proposed method was effective for detecting the arousal events.
Keywords