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심실세동 심전도 파형 추출 파라미터를 이용한 관상동맥 관류압 예측
장승진,이현숙,황성오,윤영로 대한전기학회 2005 전기학회논문지 D Vol.54 No.4(D)
Coronary Perfusion Pressure(CPP) is known for the most important parameter related to the Return of Spontaneous Circulation(ROSC), however, clinically measuring CPP is difficult either invasive or non-invaisive method. In this paper, we analyze the correlation between the extracted parameter from VF ECG wave and the CPP with the statistical method, and predict CPP value using the extracted parameters within significance level. the extracted parameters are median frequency(MF), peak frequency(PF), average segment amplitude(ASA), MSA(maximum segment amplitude). Two parameters, MF, and ASA are selected in order to predict CPP value with general regression neural network, and then we evaluated the agreement statistics between the simulated CPP and the measured CPP. In conclusion, the mean and variance of the difference between the simulated CPP and the measured CPP are 8.9716±1.3526 ㎜H, and standard deviation 6.4815 ㎜H with one hundred-times training and test results. the simulated CPP and the measured CPP are agreed with the overall accuracy 90.68% and kappa coefficient 81.14% as a discriminant parameter of ROSC.
서포트 벡터 머신을 이용한 심폐소생술 변이의 변화에 따른 제세동 성공률 분석
장승진,황성오,이현숙,윤영로,Jang, Seung-Jin,Hwang, Sung-Oh,Lee, Hyun-Sook,Yoon, Young-Ro 대한의용생체공학회 2007 의공학회지 Vol.28 No.4
Unsatisfied results of return of spontaneous circulation (ROSC) estimates were caused by the fact that the predictability of the predictors was insufficient. This unmet estimate of the predictors may be affected by transitional events due to behaviors which occur during cardiopulmonary resuscitation (CPR). We thus hypothesized that the discrepancy of ROSC estimates found in statistical characteristics due to transitional CPR events, may affect the performance of the predictors, and that the performance of the classifier dichotomizing between ROSC and No-ROSC might be different during CPR. In a canine model (n=18) of prolonged ventricular fibrillation (VF), standard CPR was provided with administration of two doses of epinephrine 0 min or 3 min later of the onset of CPR. For the analysis of the likelihood of a successful defibrillation during CPR, Support Vector Classification was adopted to evaluate statistical peculiarity combining time and frequency based predictors: median frequency, frequency band-limited power spectrum, mean segment amplitude, and zero crossing rates. The worst predictable period showed below about 1 min after the onset of CPR, and the best predictable period could be observed from about 1.5 min later of the administering epinephrine through 2.0-2.2 min. As hypothesized, the discrepancy of statistical characteristics of the predictors was reflected in the differences of the classification performance during CPR. These results represent a major improvement in defibrillation prediction can be achieved by a specific timing of the analysis, as a change in CPR transition.
행동활성화 및 행동억제 체계에 대한 뇌전도와 뇌자도 신호 비교분석
장승진,신명근,류권규,권혁찬,김원식 한국감성과학회 2009 춘계학술대회 Vol.2009 No.-
행동활성화체계(BAS)/ 행동억제체계(BIS)는 서로 독립적이고 구분되는 신경 기저와 작용 방식을 가졌기 때문에 사람들은 이 두 체계에서 각기 독립적인 민감성을 보이리라고 가정할 수 있으며, 개인의 기질이나 성격 특성 및 광범위한 전반적 정서 경험 경향성과도 밀접하게 관련된다고 가정된다. 본 연구에서는 뇌자도(MEG)에서 취득한 신호를 가지고 EEG에서 얻은 신호 및 자기 보고식 질문지를 통한 비교 분석 연구를 수행하였다. 총 9명 (male=6, female=3)을 대상으로 EEG/MEG를 수행한 후 BIS/BAS 질문지를 수행하여 비교 분석하였다. 자기 보고식 질문지와 EEG/MEG와의 상관관계 및 통계분석을 통하여 EEG와 MEG에서 일치성 및 상관성을 살펴보고 향후 성격 및 감성성향 판단 및 분류에 있어서 MEG의 효용성 측면을 살펴보고자 함이 본 연구의 목적이다.