Abstract:
:The frequency spectrum of the ECG in ventricular fibrillation (VF) correlates with myocardial perfusion and might predict defibrillation success defined as return of spontaneous circulation (ROSC). The predictive power increases when more spectral variables are combined, but the complex information can be difficult to handle during the intensity of CPR. We therefore developed a method for expressing this multidimensional information in a single reproducible variable reflecting the probability of defibrillation success. This is based on the highest performing predictor for ROSC after 883 shocks given to 156 patients with VF. This was a combination of two decorrelated spectral features based on a principal component analysis of an original feature set with information on centroid frequency, peak power frequency, spectral flatness and energy. The function "Probability of defibrillation success" (P(ROSC)(v)) was developed by a 2-dimensional histogram technique. P(ROSC)(v) discriminated between shocks followed by ROSC and No-ROSC (P<0.0001). The present methodology indicates a possible way to develop a CPR monitor.
journal_name
Resuscitationjournal_title
Resuscitationauthors
Eftestøl T,Sunde K,Aase SO,Husøy JH,Steen PAdoi
10.1016/s0300-9572(00)00266-5keywords:
subject
Has Abstractpub_date
2001-03-01 00:00:00pages
245-54issue
3eissn
0300-9572issn
1873-1570pii
S0300-9572(00)00266-5journal_volume
48pub_type
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