Predictive value of the sum of average magnitude difference function in determining optimal defibrillation timing by analyzing ECG signals
LIU Yuan-shan
LIN Fan-rong
CHEN Yu-jia
HUANG Zi-tong
JIANG Long-yuan
YANG Zheng-fei
Abstract：Objective To evaluate the efficacy of the sum of average magnitude difference function(SAMDF)in processing ventricular fibrillation(VF)ECG signals for predicting optimal defibrillation timing,and to compare it with the commonly used amplitude spectrum area(AMSA)method.Methods Fifty-six male pigs,each weighing 40±5 kg,were used for the study.VF was induced,followed by 10 minutes of untreated VF,6 minutes of cardiopulmonary resusci-tation(CPR),and subsequent defibrillation.SAMDF and AMSA values were recorded every minute during VF and CPR.Receiver operating characteristic(ROC)curves were calculated,and one-way analyses of variance(one-way ANOVA)and positive-negative sample scatter plots were used to compare the two methods for optimizing defibrillation timing pre-diction.The SAMDF and AMSA values of the successful defibrillation group(Group R)and the unsuccessful defibrillation group(Group N)were compared to evaluate their predictive abilities.Results Scatter plots demonstrated that both SAM-DF and AMSA could differentiate between positive and negative samples(P＜0.001).ROC analysis showed that SAMDF(AUC=0.801,P＜0.001)and AMSA(AUC=0.777,P＜0.001)had similar capabilities in predicting optimal defib-rillation timing.The SAMDF and AMSA values were significantly higher in Group R than in Group N(P＜0.001).Conclusion SAMDF shows strong potential for optimizing the prediction of defibrillation timing and could serve as a com-plement to existing effective predictors like AMSA.
Keywords：the sum of average magnitude difference functionamplitude spectrum areaECG signalpredicting defibrillation timing
Publication Date：2024-09-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 1106-1112 )