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

Watson, James N; Uchaipichata, Nopadol; Addison, Paul; Clegg, Gareth R; Robertson, C E; Eftestol, T; Steen, P A

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.

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(3), 269-275. https://doi.org/10.1016/j.resuscitation.2004.06.012

• Journal Article Type: Article
• Publication Date: 2004-12
• Deposit Date: Feb 20, 2008
• Print ISSN: 0300-9572
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 63
• Issue: 3
• Pages: 269-275
• DOI: https://doi.org/10.1016/j.resuscitation.2004.06.012
• Keywords: Defibrillation; Ventricular fibrillation; Cardiac arrest; Wavelet Transform Methods; Resucitation success
• Public URL: http://researchrepository.napier.ac.uk/id/eprint/1945