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바이코히어런스 분석 기법을 이용한 마취 단계별 뇌파의 특성 분석
朴濬模(Jun-Mo Park),朴鍾德(Jong-Duk Park),田桂錄(Gye-Rok Jeon),許榮(Young Huh) 대한전기학회 2006 전기학회논문지 D Vol.55 No.1
Although reachers have studied for a long time, they don't make criteria for anesthesia depth. anesthetists can't make a prediction about patient's reaction. Therefor, patients have potential risk such as poisonous side effect, late-awake, early-awake and strain reaction. EEG are received from twenty-five patients who agreed to investigate themselves during operation with Enflurane-anesthesis in progress of anesthesia. EEG are divided pre-anesthesia, before incision of skin, operation 1, operation 2, awaking, post-anesthesia by anesthesia progress step. EEG is applied pre-processing, base line correct, linear detrend to get more reliable data. EEG data are handled by electronic processing and the EEG data are calculated by bicoherence. During pre-anesthesia and post anesthesia, appearance rate of bicoherence value is observed strong appearance rate in high frequency range(l5-30㎐). During the anesthesia of patient, a strong appearance rate is revealed the low frequency area(0-10㎐). After bicoherence is calculated by percentage of a appearance rate, that is, Bicpara#1, Bicpara#2, Bicpara#3 and Bicpara#4 parameter are extracted. In result of bicoherence analysis, Bicpara#2 and Bicpara#4 are considered that the best parameter showed progress of anesthesia effectively. And each separated bicoherence are calculated by average bicoherence's numerical value, divide by 2 area, appear by each Bic㎐#1, Bic㎐#2, and observed Bic㎐#1/Bic㎐#2's change. In result of bicoherence analysis, Bic㎐#1, Bic㎐#2 and Bic㎐#1/Bic㎐#2 are considered that the best parameter showed progress of anesthesia effectively. In conclusion, I confirmed the anesthesia progress phase, concluded to usefulness of parameter on bispectrum and bicoherence analysis and evaluated the depth of anesthesia. In the future, it is going to use for doctor's diagnosis and apply to protect an medical accident owing to anesthesia.
전신 마취 중 전력스펙트럼 분석을 이용한 마취심도 파라미터 개발
백승완,예수영,박준모,전계록,Baik, Seong-Wan,Ye, Soo-Young,Park, Jun-Mo,Jeon, Gye-Rok 한국전기전자재료학회 2009 전기전자재료학회논문지 Vol.22 No.6
In this paper, new parameters were developed to estimate the depth of anesthesia during a general anesthesia using EEG. Power spectral density(PSD) analysis was used for these parameters because EEG became slow wave during anesthesia. The new parameters were DTR, ATR, TDR, ADR, BTR and BDR applied to PSD. These parameters were compared with SEF which is conventionally used at clinic and confirmed clinical value. As the results, DTR, ATR, TDR, ADR among parameters were not useful compared with SEF but BTR and BDR is valuable for clinic. 15 patents, at pre-operation BDR the value is $265.36{\pm}25.29$, at induction the value is $129.23{\pm}34.92$, at operation the value is $154.99{\pm}38.34$, at awaked the value is $283.83{\pm}39.80$ and at post-operation the value is $234.80{\pm}23.46$. Also at pre-operation BTR value is $183.38{\pm}13.59$, at induction the value is $104.09{\pm}25.11$, at operation the value is $115.38{\pm}23.42$, at awaked the value is $190.33{\pm}23.31$ and at post-operation the value is $172.38{\pm}19.08$. Trend of BDR and BTR is similar to change of SEF, so two parameters are useful. to estimate the depth of anesthesia.
예수영,백승완,김재형,박준모,전계록,Ye, Soo-Young,Baik, Swang-Wan,Kim, Jae-Hyung,Park, Jun-Mo,Jeon, Gye-Rok 대한의용생체공학회 2009 의공학회지 Vol.30 No.4
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.