http://orcid.org/0000-0002-2361-4844
References
- Walker HK, Hall WD, Hurst JW. The oral cavity and associated structures–clinical methods: the history, physical, and laboratory examinations. Boston: Butterworths; 1990.
- Lakatta EG, Levy D. Arterial and cardiac aging: major shareholders in cardiovascular disease enterprises: part I: aging arteries: a “set up” for vascular disease. Circulation. 2003;107:139–146.
- McSharry PE, Clifford GD, Tarassenko L, et al. A dynamical model for generating synthetic electrocardiogram signals. IEEE Trans Biomed Eng. 2003;50:289–294.
- Boulakia M, Cazeau S, Fernández MA, et al. Mathematical modeling of electrocardiograms: a numerical study. Ann Biomed Eng. 2010;38:1071–1097.
- Gidea M, Gidea C, Byrd W. Deterministic models for simulating electrocardiographic signals. Commun Nonlinear Sci Numer Simul. 2011;16:3871–3880.
- Augustin CM, Neic A, Liebmann M, et al. Anatomically accurate high resolution modeling of human whole heart electromechanics: a strongly scalable algebraic multigrid solver method for nonlinear deformation. Comput Phys. 2016;305:622–646.
- Campos FO, Prassl AJ, Seemann G, et al. Influence of ischemic core muscle fibers on surface depolarization potentials in superfused cardiac tissue preparations: a simulation study. Med Biol Eng Comput. 2012;50:461–472.
- Rodriguez B, Trayanova N, Noble D. Modeling cardiac ischemia. Ann N Y Acad Sci. 2006;1080:395–414.
- Arevalo HJ, Vadakkumpadan F, Guallar E, et al. Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models. Nat Commun. 2016;7:11437.
- Hoshimiya N, Yoshida S, Shogen K, et al. Two-terminal electronic circuit neuron model with excitable membrane VIt characteristics. Biol Cybern. 1979;35:125–130.
- Maeda Y, Yagi E, Makino H. Synchronization with low power consumption of hardware models of cardiac cells. BioSystems. 2005;79:125–131.
- McSharry PE, Cifford GD. Open-source software for generating electrocardiogram signals. arXiv Preprint Physics/0406017. 2004.
- Koeppen BM, Stanton BA. Berne and levy physiology e-book. Philadelphia, (PA): Elsevier Health Sciences; 2017.
- Santana LF, Cheng EP, Lederer WJ. How does the shape of the cardiac action potential control calcium signaling and contraction in the heart? J Mol Cell Cardiol. 2010;49:901.
- Kubo Y, Adelman JP, Clapham DE, et al. International Union of Pharmacology. LIV. Nomenclature and molecular relationships of inwardly rectifying potassium channels. Pharmacol Rev. 2005;57:509–526.
- Chen L, Sampson KJ, Kass RS. Cardiac delayed rectifier potassium channels in health and disease. Card Electrophysiol Clin. 2016;8:307–322.
- Jost N. Transmembrane ionic currents underlying cardiac action potential in mammalian hearts. In: Péter P. Nánási, editor.Advances in cardiomyocyte research. Tivandrum, Kerala, India: Transworld research network; 2009. p. 1–45.
- Katz AM. Physiology of the heart. Philadelphia: Lippincott Williams & Wilkins; 2010.
- Uchida AH, Moffa P, Riera ARP. Exercise testing score for myocardial ischemia gradation. Indian Pacing Electrophysiol J. 2007;7:61–72.
- Wagner MB, Namiki T, Wilders R, et al. Electrical interactions among real cardiac cells and cell models in a linear strand. Am J Physiol. 1999;276:H391–H400.
- Birnbaum Y, Drew BJ. The electrocardiogram in ST elevation acute myocardial infarction: correlation with coronary anatomy and prognosis. Postgrad Med J. 2003;79:490–504.