Proceedings of the KOSOMBE Conference (대한의용생체공학회:학술대회논문집)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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A Study on the Automatic Sleep Scoring using Artificial Intelligence

인공지능을 이용한 수면 상태의 자동 분석에 관한 연구

  • Park, H.J. (Interdisciplinary Program of Medical and Biological Engineering Major, Seoul Nat'l Univ.) ;
  • Han, J.M. (Interdisciplinary Program of Medical and Biological Engineering Major, Seoul Nat'l Univ.) ;
  • Jeong, D.U. (Dept. of Psychiatric Science, College of Medicine, Seoul Nat'l. Univ.) ;
  • Park, K.S. (Dept. of Biomedical Engineering, College of Medicine, Seoul Nat'l. Univ.)
  • 박해정 (서울대학교 대학원 협동과정 의용생체공학) ;
  • 한주만 (서울대학교 대학원 협동과정 의용생체공학) ;
  • 정도언 (서울대학교 의과대학 정신과학교실) ;
  • 박광석 (서울대학교 의과대학 의공학교실)
  • Published : 1997.05.23
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Abstract

We present the preliminary algorithms for automatic sleep scoring. According to the Rechtschaffen & Kales[3]'s critera, we developed six events detectors and eight parameters which contain the background information of signals, such as EEG, EMG, EOG. With the calculated parameters, we scored each epoch by IF-THEN rules, ANFIS for REM preiods, and finally Neural Network for unobvious epochs. The typical point of this algorithm is that the epoch which had good data sets were calculated in the first stage, and unobvious epochs were postponed until the final stage. After staging the good epochs, we classified unobvious epochs by the dominant stage of previous and posterior epochs.

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