Abstract
The efforts of many scientists are directed to study of heart electrical instability by experimental methods and mathematical modeling of cardiomyocytes’ functional properties. The development of arrhythmias can be caused by cardiac beat-to-beat alternations in action potential duration (APD), concentration of intracellular Ca2+ and contraction force. One of the methods for investigation of dangerous arrhythmias genesis is based on the restitution hypothesis.
Motivated by theoretical foundations and experimental research of the arrhythmias, the new approach to stimulation of action potential (AP) alternans in cardiomyocytes due to the heart rate variability was proposed. The main attention was paid to study of electrical restitution dynamics of cardiomyocytes using several pacing protocols. Computational simulation of the action potential and currents for potassium, sodium, calcium ions in cardiomyocytes was carried out using parallel conductance model. Numerical experiments, performed in Matlab environment, allowed us to study electrical properties of cardiomyocytes. The occurrence of APD alternans in areas of electrical restitution curve with a maximum slope is presented.
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References
Plonsey, R., Barr, R.: Bioelectricity: A Quantitative Approach, 3rd edn., 528 p. Springer, New York (2007)
Tusscher, K.H.W.J.: Alternans and spiral breakup in a human ventricular tissue model. Am. J. Physiol. Heart Circulatory Physiol. 3(291), H1088–H1100 (2006)
Coronel, R.: Electrophysiological changes in heart failure and their implications for arrhythmogenesis. Biochem. Biophys. Acta. 1832, 2432–2441 (2013)
O’Hara, T.: Simulation of the undiseased human cardiac ventricular action potential: model formulation and experimental validation. PLoS Comput. Biol. 7, e1002061 (2011)
Solid, Z.: Reentry via high-frequency pacing in a mathematical model for human-ventricular cardiac tissue with a localized fibrotic region. Sci. Rep. 5(7), 15350 (2017)
Olaniyi, E.O., Oyedotun, O.K., Adnan, K.: Heart diseases diagnosis using neural networks arbitration. Int. J. Intell. Syst. Appl. (IJISA) 7(12), 75–82 (2015). https://doi.org/10.5815/ijisa.2015.12.08
Goshvarpour, A., Shamsi, M., Goshvarpour, A.: Spectral and time based assessment of meditative heart rate signals. Int. J. Image Graph. Sig. Process. (IJIGSP) 5(4), 1–10 (2013). https://doi.org/10.5815/ijigsp.2013.04.01
Ellis, B.W.: Human iPSC-derived myocardium-on-chip with capillary-like flow for personalized medicine. Biomicrofluidics 2(11), 024105 (2017)
Liang, P.: Drug screening using a library of human induced pluripotent stem cell-derived cardiomyocytes reveals disease-specific patterns of cardiotoxicity. Circulation 127, 1677–1691 (2013)
Pavesi, A.: Controlled electromechanical cell stimulation on-a-chip. Sci. Rep. 5, 1–12 (2015). 11800
Marsano, A.: Beating heart on a chip: a novel microfluidic platform to generate functional 3D cardiac microtissues. Lab Chip 16, 599–610 (2016)
Rawan, A.K.: Electrical Restitution and Action Potential Repolarisation Studies in Acutely Isolated Cardiac Ventricular Myocytes. http://hdl.handle.net/2381/38815. Accessed 11 Dec 2017
Traxel, S.J.: A novel method to quantify contribution of electrical restitution to alternans of repolarization in cardiac myocytes: a simulation study. FASEB J. 1(23) (2009). Supplement 624.7
Shattock, M.J.: Restitution slope is principally determined by steady-state action potential duration. Cardiovasc. Res. 7(113), 817–828 (2017)
Ng, G.A.: Autonomic modulation of electrical restitution, alternans and ventricular fibrillation initiation in the isolated heart. Cardiovasc. Res. 4(73), 750–760 (2007)
Orini, M.: Interactions between activation and repolarization restitution properties in the intact human heart: in-vivo whole-heart data and mathematical description. PLoS ONE 9(11), e0161765 (2016)
Luo, C.: A dynamic model of the ventricular cardiac action potential: I. simulations of ionic currents and concentration changes. Circ. Res. 6(74), 1071–1096 (1994)
Hund, T.J.: Rate dependence and regulation of action potential and calcium transient in a canine cardiac ventricular cell model. Circulation 20(110), 3168–3174 (2004)
Ivanko, K.: Simulation of action potential in cardiomyocytes. In: Proceedings of 2017 IEEE 37th International Scientific Conference on Electronics and Nanotechnology (ELNANO), pp. 358–362 (2017)
Spiteri, R.J.: On the performance of an implicit– explicit Runge-Kutta method in models of cardiac electrical activity. IEEE Trans. Biomed. Eng. 5(55), 1488–1495 (2008)
Ahmad, A.A., Kuta, A.I., Loko, A.Z.: Analysis of abdominal ECG signal for fetal heart rate estimation using adaptive filtering technique. Int. J. Image Graph. Sig. Process. (IJIGSP) 9(2), 19–26 (2017). https://doi.org/10.5815/ijigsp.2017.02.03
Gowri, T., Rajesh Kumar, P.: Muscle and baseline Wander artifact reduction in ECG signal using efficient RLS based adaptive algorithm. Int. J. Intell. Syst. Appl. (IJISA) 8(5), 41–48 (2016). https://doi.org/10.5815/ijisa.2016.05.06
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The study was supported by EU-financed Horizon 2020 project AMMODIT (Approximation Methods for Molecular Modeling and Diagnosis Tools) - Grant Number MSCA-RISE 645672.
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Ivanushkina, N., Ivanko, K., Prokopenko, Y., Redaelli, A., Timofeyev, V., Visone, R. (2019). Simulation of Electrical Restitution in Cardiomyocytes. In: Hu, Z., Petoukhov, S., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education. ICCSEEA 2018. Advances in Intelligent Systems and Computing, vol 754. Springer, Cham. https://doi.org/10.1007/978-3-319-91008-6_62
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DOI: https://doi.org/10.1007/978-3-319-91008-6_62
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