| Title |
Prediction of Defibrillation Success of Ventricular Fibrillation ECG Signals using Time-Frequency Analysis |
| Authors |
성홍모(Sung, Hong-Mo) ; 신재우(Shin, Jae-Woo) ; 이현숙(Lee, Hyun-Sook) ; 황성오(Hwang, Sung-Ho) ; 윤영로(Yoon, Young-Ro) |
| Keywords |
Ventricular Fibrillation ; Time-Frequency Analysis ; Defibrillation Success ; Clustering Analysis |
| Abstract |
The purpose of this study is to predict the defibrillation success of a ventricular Fibrillation ECG signal using time-frequency analysis. During CPR, coronary perfusion pressure and electrocardiogram were measured. Parameters extracted from time-frequency domain were served as predictor of resuscitation success. Time frequency distribution(TFD) of ECG signals was estimated from the smoothed pseudo Wigner-Ville distribution(SPWVD). Median frequency, peak frequency, 1/f slope, frequency band ratios(2~4Hz, 4~6Hz, 6~8Hz, 8~10Hz, 10~12Hz, 12~15Hz) were extracted from each TFD as function of time. Paired t-test was used to determine the differences in ROSC and non-ROSC groups. In the statistical results, we selected four significant parameters - median frequency, 1/f slope, 2~4Hz band ratio, 8~10Hz band ratio. We made an attempt to predict defibrillation success by combining features extracted from time frequency distribution. Independent t-test was used to determine the differences ROSC and non-ROSC groups. Consequently, we selected four significant parameters-median frequency, 1/f slope, 2~4Hz band ratio, 8~10Hz band ratio. The relationship between coronary perfusion pressure and ECG parameters was analyzed with linear regression analysis. R-square value was 55%. 1/f slope and 8~10Hz band ratio had the significant relationship with coronary perfusion pressure. |