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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 and Steen, P A (2004) Improved prediction of defibrillation success for out-of-hospital VF cardiac arrest using Wavelet Transform Methods. Resuscitation, 63 (3). pp. 269-275. ISSN 0300 9572

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Abstract/Description

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.

Item Type: Article
Print ISSN: 0300 9572
Electronic ISSN: 1873-1570
Uncontrolled Keywords: Defibrillation; Ventricular fibrillation; Cardiac arrest; Wavelet Transform Methods; Resucitation success;
University Divisions/Research Centres: Faculty of Engineering, Computing and Creative Industries > School of Engineering and the Built Environment
Dewey Decimal Subjects: 500 Science > 510 Mathematics > 510 Mathematics
600 Technology > 610 Medicine & health > 616 Diseases
Library of Congress Subjects: R Medicine > R Medicine (General)
Q Science > QA Mathematics
Item ID: 1945
Depositing User: RAE Import
Date Deposited: 20 Feb 2008 10:46
Last Modified: 01 May 2013 16:19
URI: http://researchrepository.napier.ac.uk/id/eprint/1945

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