http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
석현석(Hyeon Seok Seok),신항식(Hangsik Shin) 대한전기학회 2019 전기학회논문지 Vol.68 No.10
The purpose of this study was to develop pain assessment indices based on derivative photoplethysmogram for objective postoperative pain assessment. We obtained photoplethysmogram and surgical pleth index from 78 surgical patients in preoperative and postoperative conditions. Then, we extracted a total of 48 time and amplitude related candidate features from derivative photoplethysmogram. As a statistical result, 35 of the 48 basic features were significantly different (p<0.05) preoperation and postoperation. After normalization, the coefficient of variation of all candidate features decreased by 5.7%, time related features increased by 3%, amplitude related features decreased by 12.7%. In postoperative pain classification using logistic regression model, top 20 classification accuracy of 48 features including had an average of 64.9 ± 1.6% accuracy of pain assessment and the accuracy showed 0.9% higher than surgical pleth index.
마취 중 통증판별을 위한 광용적맥파 박동간격 및 진폭 변화 관찰
석현석(Hyeon Seok Seok),신항식(Hangsik Shin) 한국지능시스템학회 2018 한국지능시스템학회논문지 Vol.28 No.4
이 연구에서는 수술 중 통증을 정량적으로 평가하기 위하여 광용적맥파 박동간격 및 진폭이 통증 자극으로 인해 유의미한 변화를 가지는지 확인 하는 것을 목적으로 한다. 이를 위해 기관내 삽관(intubation)을 수행한 수술 환자 25명에게서 삽관 전 후 각 6분, 총 12분간 광용적맥파 신호를 연속적으로 획득하고 파형의 변화를 분석하였다. 박동간격과 진폭관련 파라미터로는 일 회 박동시 광용적맥파의 인접한 박동으로부터 계산된 수축기 및 이완기 극점 간격, 이완기-수축기 진폭 차이, 기저선 으로부터 측정된 수축기 극점 진폭을 선정하였고, 삽관 전 후 기록된 광용적맥파로부터 각 파라미터 값을 도출하여 기도삽관에 의해 유발된 통증에 따라 유의한 차이가 발생되는지를 정성적으로 검증하였다. 평가결과 모든 후보파라미터에서 기도 삽관시 일시적인 통증 자극에 의한 값의 급격한 감소와 회복에 따른 완만한 상승이 관찰 되었다. 개인별 편차를 평가하기 위한 변동계수 분석에서, 평균 변동계수는 수축기 및 이완기 박동간격에서 각각 17.44과 17.43으로, 이완기-수축기 진폭 및 기저선-수축기 진폭에서 각각 56.88, 57.00으로 관찰되었다. 이 때 SPI(GE Healthcare, Chicago, USA)의 평균 변동계수는 44.45 이었다. 이상의 결과는 광용적맥파에서 도출된 박동간격이나 진폭변화가 통증 평가 지표로 활용될 수 있는 가능성과 더불어 개인별 편차를 줄이기 위한 정규화 기법이 요구됨을 시사한다. The purpose of this study was to investigate whether there is a significant change in the photoplethysmogram(PPG) amplitude and beating interval in order to quantify the pain during surgery. For this purpose, we analyzed the PPG for 12 minutes in 25 patients who underwent intubation, and investigate the waveform changes. The parameters related to the beating interval and amplitude were selected from the adjacent systolic or diastolic peak interval, or amplitude difference between systolic peak and diastolic peak or between systolic peak amplitude and baseline. The parameters derived from the PPG were verified whether there was a significant difference according to the pain stimulation by the airway intubation. As a result, all the candidate parameters showed a drastic decrease by temporal pain stimulation during intubation, and a gradual increase by recovery. IIn the coefficient of variation analysis for evaluating individual deviations, the mean coefficient of variation was 17.44 and 17.43 in systolic and diastolic beats intervals, and 56.88 and 57.00 in diastolic-systolic and basal-systolic amplitudes, respectively. The mean coefficient of variation of SPI (GE Healthcare, Chicago, USA) was 44.45. These results suggest that the change of pulse interval or amplitude derived from PPG can be used as a pain assessment index and that normalization technique is required to reduce individual deviation.
광용적맥파 미분 파형 기반 수술 후 통증 평가 가능성 고찰
석현석(Hyeon Seok Seok),신항식(Hangsik Shin) 대한전기학회 2018 전기학회논문지 Vol.67 No.7
In this study, we developed novel indicators to assess postoperative pain based on PPG derivative waveform. As the candidate indicator of postoperative pain assessment, the time from the start of beating to the n-th peak(Tn) and the n-th peak amplitude(An) of the PPG derivative were selected. In order to verify derived indicators, each candidate indicator was derived from the PPG of 78 subjects before and after surgery, and it was confirmed whether significant changes were observed after surgery. Logistic classification was performed with each proposed indicator to calculate the pain classification accuracy, then the classification performance was compared with SPI(Surgical Pleth Index, GE Healthcare, Chicago, US). The results showed that there were significant differences(p < 0.01) in all indicators except for T3 and A3. The coefficient of variation(CV) of every time-related indicators were lower than the CV of SPI(30.43%), however, the CV in amplitude-related parameters were higher than that of SPI. Among the candidate indicators, amplitude of the first peak, A1, showed that highest accuracy in post-operative pain classification, 68.72%, and it is 15.53% higher than SPI.