뇌파 스펙트럼 분석에 의한 마취 심도 지표 개발
Development for the Index of an Anesthesia Depth using the Power Spectrum Density Analysis
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초록
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 ± 10.1, 36.98 ± 20.2, 15.33 ± 13.6, 50.87 ± 16.5 and 87.72 ± 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.
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 ± 10.1, 36.98 ± 20.2, 15.33 ± 13.6, 50.87 ± 16.5 and 87.72 ± 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.
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