Modelling ventricular fibrillation coarseness during cardiopulmonary resuscitation by mixed effects stochastic differential equations-Reference-Cited by-同舟云学术

Modelling ventricular fibrillation coarseness during cardiopulmonary resuscitation by mixed effects stochastic differential equations

Published:2015-05-26 Issue:23 Volume:34 Page:3159-3169
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Gundersen Kenneth¹,Kvaløy Jan Terje²,Eftestøl Trygve¹,Kramer-Johansen Jo³

Affiliation:

1. Department of Electrical Engineering and Computer Science, Faculty of Science and Technology; University of Stavanger; Stavanger Norway

2. Department of Mathematics and Natural Sciences, Faculty of Science and Technology; University of Stavanger; Stavanger Norway

3. Norwegian National Advisory Unit on Prehospital Emergency Medicine and Department of Anesthesiology; Oslo University Hospital and University of Oslo; Oslo Norway

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

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3. Prediction of countershock success using single features from multiple ventricular fibrillation frequency bands and feature combinations using neural networks;Neurauter;Resuscitation,2007

4. Development of the probability of return of spontaneous circulation in intervals without chest compressions during out-of-hospital cardiac arrest: an observational study;Gundersen;BMC Medicine,2009

5. Chest compression quality variables influencing the temporal development of ROSC-predictors calculated from the ECG during VF;Gundersen;Resuscitation,2009

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