Improved prediction of defibrillation success for out-of-hospital VF cardiac arrest using wavelet transform methods.
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.
Watson
James N
JN
CardioDigital Ltd., Elvingston Science Centre, Edinburgh, Scotland, UK. j.watson@cardiodigital.com
Uchaipichat
Nopadol
N
Addison
Paul S
PS
Clegg
Gareth R
GR
Robertson
Colin E
CE
Eftestol
Trygve
T
Steen
Petter A
PA
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*