A Simple Multi-scale Model to Evaluate Left Ventricular Growth Laws
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 1611-3349, Vol: 11504 LNCS, Page: 249-257
2019
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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Conference Paper Description
Cardiac growth is the natural capability of the heart of adapting to changes in blood flow demands. Cardiac diseases can trigger the same process leading to an abnormal type of growth. Although several models have been published, details on this process remain still unclear. This study offers an analysis on the driving force of cardiac growth along with an evaluation on the final grown state. Through a zero dimensional model of the left ventricle we evaluate cardiac growth in response to three valve diseases, aortic and mitral regurgitation along with aortic stenosis. We investigate how different combinations of stress and strain based stimuli affect growth in terms of cavity volume and wall volume. All of our simulations are able to reach a converged state without any growth constraint. The simulated grown state corresponded to the experimentally observed state for all valve disease cases, except for aortic regurgitation simulated with a mix of stress and strain stimuli. Thus we demonstrate how a simple model of left ventricular mechanics can be used to have a first evaluation of a designed growth law.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85067204493&origin=inward; http://dx.doi.org/10.1007/978-3-030-21949-9_27; http://link.springer.com/10.1007/978-3-030-21949-9_27; http://link.springer.com/content/pdf/10.1007/978-3-030-21949-9_27; https://doi.org/10.1007%2F978-3-030-21949-9_27; https://dx.doi.org/10.1007/978-3-030-21949-9_27; https://link.springer.com/chapter/10.1007/978-3-030-21949-9_27
Springer Science and Business Media LLC
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