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시-주파수 분석을 이용한 심실세동시 심전도 분석을 통한 제세동 예측에 관한 연구

Prediction of Defibrillation Success of Ventricular Fibrillation ECG Signals using Time-Frequency 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$(2{\sim}4Hz,\;4{\sim}6Hz,\;6{\sim}8Hz,\;8{\sim}10Hz,\;10{\sim}12Hz,\;12{\sim}15Hz)$ 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, $2{\sim}4Hz$ band ratio, $8{\sim}10Hz$ 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, $2{\sim}4Hz$ band ratio, $8{\sim}10Hz$ 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 $8{\sim}10Hz$ band ratio had the significant relationship with coronary perfusion pressure.

참고문헌 (15)

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  11. Cohen, L., 'Time-Frequency Distributions - A Review', Proceeding of the IEEE, vol. 77, no. 7, pp. 941-981, 1989 
  12. Cohen, L., Time-Frequency Analysis, Prentice-Hall, 1995 
  13. Sattar, F., and Salomonsson, G., 'The Use of a Filter Bank and the Wigner-Ville Distributions for Time-Frequency Representation', IEEE Transaction On Signal Processing, vol. 48, no. 6, pp. 1776-1783, 1999 
  14. Hlawatch, F.,and Bounderzux-Bartes, G. F., 'Linear and Quadratic Time-Frequen cy Signal Representation', IEEE Signal Processing Magazine, pp. 21-67, Apr. 1992 
  15. Hlawatch, F., Manikam, T. G., Urbanke, R. L., and Jones, W., 'Smoothed pseudo -Wigner Distributions, Choi-Williams Distribution, and Cone-Kernel Franz Representation: Ambiguity-Domain Analysis and Experimental Comparison', Signal Processing, vol. 43, pp. 149-168, 1995 

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