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

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

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Electric Countershock*
  • Electrocardiography, Ambulatory
  • Fourier Analysis
  • Heart Arrest / etiology
  • Heart Arrest / therapy*
  • Humans
  • Predictive Value of Tests
  • Treatment Outcome
  • Ventricular Fibrillation / complications
  • Ventricular Fibrillation / diagnosis
  • Ventricular Fibrillation / therapy*