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. 2004 Dec;63(3):269-75.
doi: 10.1016/j.resuscitation.2004.06.012.

Improved prediction of defibrillation success for out-of-hospital VF cardiac arrest using wavelet transform methods

James N Watson  1 , Nopadol Uchaipichat, Paul S Addison, Gareth R Clegg, Colin E Robertson, Trygve Eftestol, Petter A Steen
Affiliations

Improved prediction of defibrillation success for out-of-hospital VF cardiac arrest using wavelet transform methods

James N Watson et al. Resuscitation. 2004 Dec.

Abstract

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.

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