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dc.contributor.authorBelhamadia, Youssef
dc.contributor.authorRammal, Zeinab
dc.date.accessioned2023-09-22T10:15:10Z
dc.date.available2023-09-22T10:15:10Z
dc.date.issued2021-01
dc.identifier.citationBelhamadia, Y., & Rammal, Z. (2021). Efficiency of semi-implicit alternating direction implicit methods for solving cardiac monodomain model. In Computers in Biology and Medicine (Vol. 130, p. 104187). Elsevier BV. https://doi.org/10.1016/j.compbiomed.2020.104187en_US
dc.identifier.issn1879-0534
dc.identifier.urihttp://hdl.handle.net/11073/25362
dc.description.abstractIt is well known that numerical simulations of the cardiac monodomain model require fine mesh resolution, which increases the computational resources required. In this paper, we construct three operator-splitting alternating direction implicit (ADI) schemes to efficiently solve the nonlinear cardiac monodomain model. The main objective of the proposed methods is to reduce the computational time and memory consumed for solving electrocardiology models, compared to standard numerical methods. The proposed methods have second-order accuracy in both space and time while evaluating the ionic model only once per time-step. Several examples using regular wave, spiral wave reentry, and nonsymmetrical scroll wave are conducted, and the efficiency of the proposed ADI methods is compared to the standard semi-implicit Crank–Nicolson/Adams–Bashforth method. Large-scale two- and three-dimensional simulations are performed.en_US
dc.description.sponsorshipAmerican University of Sharjahen_US
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.relation.urihttps://doi.org/10.1016/j.compbiomed.2020.104187en_US
dc.subjectCardiac monodomain modelen_US
dc.subjectAlternating direction implicit (ADI) methoden_US
dc.subjectFinite differenceen_US
dc.subjectAliev–panfilov modelen_US
dc.subjectMitchell–schaeffer modelen_US
dc.subjectSpiral waveen_US
dc.subjectScroll waveen_US
dc.titleEfficiency of semi-implicit alternating direction implicit methods for solving cardiac monodomain modelen_US
dc.typeArticleen_US
dc.typePeer-Revieweden_US
dc.typePublished versionen_US
dc.identifier.doi10.1016/j.compbiomed.2020.104187


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