Modelling ventricular fibrillation coarseness during cardiopulmonary resuscitation by mixed effects stochastic differential equations |
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| Authors: | Kenneth Gundersen Jan Terje Kvaløy Trygve Eftestøl Jo Kramer‐Johansen |
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| 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 |
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| Abstract: | For 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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| Keywords: | correlated errors unobserved heterogeneity random effects longitudinal data electrocardiogram |
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