Analysis of relation between coronary perfusion pressure and the extracted parameters from a ventricular fibrillation ECG signal

This work presents an alternative return of spontaneous circulation (ROSC) estimate using indirectly induced presumption that coronary perfusion pressure (CPP) correlates with the extracted parameter from the ventricular fibrillation (VF) ECG signal. In past studies, it is revealed that successful cardiopulmonary resuscitation (CPR) needs at least 30∼40mmHg CPP during the aortic diastolic period. In 360 segments derived from 18 test dogs with experimental cardiac arrest of cardiac cause, we analyzed the ability of 4 spectral features of VF before countershock to discriminate or not between segments that correspond to CPP. The median frequency (MF), peak frequency (PF), average segment amplitude (ASA) and maximum segment amplitude (MSA) were studied. After preprocessing the raw data acquired from the specific experimental setup and protocol, we verified CPP is a serious estimate of ROSC, and then we analyzed the extracted parameters corresponding to CPP by multiple regression. In the specific conditional frequency domain (MF: 9.42∼12.42Hz, PF: 8.71∼13.08Hz, ASA: > 0.19mV), CPP is correlated to the extracted parameter with 0.71 ± 0.05 coefficient of multiple determination (R²). The combination of MF, PF, and ASA achieved a 79.47 ± 3% sensitivity and 41.67 ± 4% specificity in testing.