Title :
Wavelet power spectrum-based prediction of successful defibrillation from ventricular fibrillation
Author :
Addison, P.S. ; Uchaipichat, N. ; Watson, J.N. ; Clegg, G.R. ; Robertson, C.E. ; Steen, P.A. ; Eftestol, T.
Author_Institution :
Cardiodigital Ltd., Edinburgh, UK
Abstract :
This paper reports on work in progress to develop a wavelet-based method of outcome prediction after DC countershock. The method correlates return of spontaneous circulation (ROSC) with features of the wavelet-based power spectra derived from the ECG during ventricular fibrillation.
Keywords :
defibrillators; electrocardiography; medical signal processing; spectral analysis; wavelet transforms; DC countershock; ECG; advanced life support; cardiac arrest; defibrillation; feature vectors; probability density functions; resuscitation; return of spontaneous circulation; shock outcome prediction; ventricular fibrillation; wavelet-based power spectra; Continuous wavelet transforms; Defibrillation; Discrete wavelet transforms; Electrocardiography; Fibrillation; Frequency; Signal analysis; Signal resolution; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1020573
