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

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

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

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.

Original languageEnglish
Pages (from-to)269-75
Number of pages7
JournalResuscitation
Volume63
Issue number3
DOIs
Publication statusPublished - 8 Dec 2004

Keywords / Materials (for Non-textual outputs)

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

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