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Development for the Index of an Anesthesia Depth using the Power Spectrum Density Analysis

뇌파 스펙트럼 분석에 의한 마취 심도 지표 개발

  • Ye, Soo-Young (BK21 Medical Science Education Center, College of Medicine, Pusan National University) ;
  • Baik, Swang-Wan (Dept. of Anesthesia and Pain Medicine, College of Medicine, Pusan National University) ;
  • Kim, Jae-Hyung (School of Computer Aided Science, Inje University) ;
  • Park, Jun-Mo (Dept. of Biomedical Engr., College of Medicine, Pusan National University) ;
  • Jeon, Gye-Rok (Dept. of Biomedical Engr., College of Medicine, Pusan National University)
  • 예수영 (부산대학교 의학전문대학원 BK21 고급의료인력양성사업단) ;
  • 백승완 (부산대학교 의학전문대학원 마취과학교실) ;
  • 김재형 (인제대학교 컴퓨터 응용과학부) ;
  • 박준모 (부산대학교 의학전문대학원 의공학협동과정) ;
  • 전계록 (부산대학교 의학전문대학원 의공학협동과정)
  • Published : 2009.08.30

Abstract

In this paper, new index was developed to estimate the depth of anesthesia during general anesthesia using EEG. Analysis of the power spectral density(PSD) of EEG was used to develop new parameters because EEG signal tends to have slow wave during anesthesia. Classifier for index creator was developed by using SEF, BDR and BTR parameters, which are calculated by power spectral density. EEG data were obtained from 7 patients (ASA I, II) during general anesthesia with Sevoflurane. The anesthetic depth evaluation indexes ranged from 0 to 100. The average were $86.05{\pm}10.1$, $36.98{\pm}20.2$, $15.33{\pm}13.6$, $50.87{\pm}16.5$ and $87.72{\pm}11.7$ for the states of pre-operation, induction of anesthesia, operation, awaked and post-operation, respectively. The results show that while the depth of anesthesia was evaluated, more accurate information can be provided for anesthetician.

Keywords

References

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