Detection of the Arousal Using EEG and Time-Frequency Analysis

뇌전도와 시-주파수 분석을 이용한 수면 중 각성 검출

  • 조성필 (연세대학교 의공학과) ;
  • 최호선 (대원과학대학 의료정보시스템과) ;
  • 명현석 (연세대학교 의공학과) ;
  • 이경중 (연세대학교 의공학과. 이동형 응급의료정보시스템 개발센터)
  • 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.

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