title: Improved prediction of defibrillation success for out-of-hospital VF cardiac arrest using wavelet transform methods.
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.
authors.affiliation: CardioDigital Ltd., Elvingston Science Centre, Edinburgh, Scotland, UK. j.watson@cardiodigital.com
authors.forename: James N
authors.initials: JN
authors.lastname: Watson
authors.forename: Nopadol
authors.initials: N
authors.lastname: Uchaipichat
authors.forename: Paul S
authors.initials: PS
authors.lastname: Addison
authors.forename: Gareth R
authors.initials: GR
authors.lastname: Clegg
authors.forename: Colin E
authors.initials: CE
authors.lastname: Robertson
authors.forename: Trygve
authors.initials: T
authors.lastname: Eftestol
authors.forename: Petter A
authors.initials: PA
authors.lastname: Steen
mesh_terms: D004554:Electric Countershock; D015716:Electrocardiography, Ambulatory; D005583:Fourier Analysis; D006323:Heart Arrest / Q000209:etiology / Q000628:therapy*; D006801:Humans; D011237:Predictive Value of Tests; D016896:Treatment Outcome; D014693:Ventricular Fibrillation / Q000150:complications / Q000175:diagnosis / Q000628:therapy*