Research Output

Improved prediction of defibrillation success for out-of-hospital VF cardiac arrest using Wavelet Transform Methods.

  We report an improved method for the estimation of shock outcome prediction based on novel wavelet transform-based time-frequency methods. Wavelet-based peak frequency, energy, mean frequency, spectral flatness and a new entropy measure were studied to predict shock outcome. Of these, the entropy measure provided optimal results with 60 ± 6% specificity at 91 ± 2% sensitivity achieved for the prediction of return of spontaneous circulation (ROSC). These results represent a major improvement in shock prediction in human ventricular fibrillation.

Citation

Watson, J. N., Uchaipichata, N., Addison, P., Clegg, G. R., Robertson, C. E., Eftestol, T. & Steen, P. A. (2004). Improved prediction of defibrillation success for out-of-hospital VF cardiac arrest using Wavelet Transform Methods. Resuscitation. 63, 269-275. doi:10.1016/j.resuscitation.2004.06.012. ISSN 0300-9572

Keywords

Defibrillation; Ventricular fibrillation; Cardiac arrest; Wavelet Transform Methods; Resucitation success;

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