Mathematical birth of Early Afterdepolarizations in a cardiomyocyte model
Mathematical Biosciences, ISSN: 0025-5564, Vol: 366, Page: 109088
2023
- 6Captures
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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.
Metrics Details
- Captures6
- Readers6
Article Description
Early Afterdepolarizations (EADs) are abnormal behaviors that can lead to cardiac failure and even cardiac death. In this paper we investigate the occurrence and development of these phenomena in a reduced Luo–Rudy cardiac model. Through a comprehensive dynamical analysis, we map out the distinct patterns observed in the parametric plane, differentiating between normal beats without EADs and pathological beats with EADs. By examining the bifurcation structure of the model, we elucidate the dynamical elements associated with these patterns and their transitions. Using a fast–slow analysis, we explore the emergence and evolution of EADs in the model. Notably, our approach combines the two commonly used fast–slow approaches (1-slow–2-fast and 2-slow–1-fast), and we show how both approaches together provide a more complete understanding of this phenomenon.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0025556423001281; http://dx.doi.org/10.1016/j.mbs.2023.109088; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85174928617&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/37863283; https://linkinghub.elsevier.com/retrieve/pii/S0025556423001281; https://dx.doi.org/10.1016/j.mbs.2023.109088
Elsevier BV
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