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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xin Zhou Bueno-Orovio, A. Orini, M. Hanson, B. Hayward, M. Taggart, P. Lambiase, P.D. Burrage, K. Rodriguez, B. |
| Copyright Year | 2013 |
| Description | Author affiliation: Heart Hosp., UCL Cardiovascular Inst., London, UK (Hayward, M.) || Univ. Coll. of London, London, UK (Orini, M.; Hanson, B.; Taggart, P.; Lambiase, P.D.) || Dept. of Comput. Sci., Univ. of Oxford, Oxford, UK (Xin Zhou; Burrage, K.; Rodriguez, B.) || Oxford Centre for Collaborative Appl. Math., Univ. of Oxford, Oxford, UK (Bueno-Orovio, A.) |
| Abstract | Cardiac alternans is an important risk factor in cardiac physiology, and is related to the initiation of arrhythmia in a number of pathological conditions. However, the mechanisms underlying the generation of alternans remain unclear. In this study, we used a population of computational models of human ventricular electrophysiology based on the O'Hara-Rudy dynamic model to explore the effect of 11 key factors experimentally reported to be related to cardiac alternans. In vivo experimental datasets obtained from patients undergoing cardiac surgery were used in the calibration of an in silico population of models. The calibrated models in the population were divided into two groups (Normal and Alternans) depending on the occurrence of the alternans. Our results showed that there were significant differences in the following 6 ionic currents between the two groups: the fast sodium current, the L-type calcium current, the rapid delayed rectifier potassium current, the sodium calcium exchanger current, the sarcoplasmic reticulum (SR) calcium release flux, and the SR calcium reuptake flux. |
| Sponsorship | IEEE Eng. Med. Biol. Soc. |
| Starting Page | 855 |
| Ending Page | 858 |
| File Size | 804768 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479908844 |
| ISSN | 2325887X |
| e-ISBN | 9781479908868 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-09-22 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Creative Commons Attribution License 2.5 (CCAL) |
| Subject Keyword | Biological system modeling Computational modeling Abstracts Lead Analytical models Acceleration |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Cardiology and Cardiovascular Medicine |
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