About this Medicine article
Improved prediction of defibrillation success for out-of-hospital VF cardiac arrest using wavelet transform methods by James N. Watson; Nopadol Uchaipichat; Paul S. Addison; Gareth R. Clegg; Colin E. Robertson; Trygve Eftestol; Petter A. Steen is a Medicine article available to read on EtoBox.
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.
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- Author
- James N. Watson; Nopadol Uchaipichat; Paul S. Addison; Gareth R. Clegg; Colin E. Robertson; Trygve Eftestol; Petter A. Steen
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0300-9572)
- Published
- 2004
- Language
- EN
- Field
- Medicine (Health Sciences)