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Statistics in medicine · Oct 2015
Modelling ventricular fibrillation coarseness during cardiopulmonary resuscitation by mixed effects stochastic differential equations.
- Kenneth Gundersen, Jan Terje Kvaløy, Trygve Eftestøl, and Jo Kramer-Johansen.
- Department of Electrical Engineering and Computer Science, Faculty of Science and Technology, University of Stavanger, Stavanger, Norway.
- Stat Med. 2015 Oct 15; 34 (23): 3159-69.
AbstractFor patients undergoing cardiopulmonary resuscitation (CPR) and being in a shockable rhythm, the coarseness of the electrocardiogram (ECG) signal is an indicator of the state of the patient. In the current work, we show how mixed effects stochastic differential equations (SDE) models, commonly used in pharmacokinetic and pharmacodynamic modelling, can be used to model the relationship between CPR quality measurements and ECG coarseness. This is a novel application of mixed effects SDE models to a setting quite different from previous applications of such models and where using such models nicely solves many of the challenges involved in analysing the available data.Copyright © 2015 John Wiley & Sons, Ltd.
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