A cellular automata model for dynamics and control of cardiac arrhythmias

Danny Gallenberger; Min Xiong; Tony Z. Zhuang; Kai Sun; Elena G. Tolkacheva; Xiaopeng Zhao

doi:10.1115/DSCC2020-3129

A cellular automata model for dynamics and control of cardiac arrhythmias

Danny Gallenberger, Min Xiong, Tony Z. Zhuang, Kai Sun, Elena G. Tolkacheva, Xiaopeng Zhao

Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

As a leading cause of death in 325,000 adults per year in the United States, a significant proportion of sudden cardiac arrest (SCA) result from arrhythmias. To better understand the onset of arrhythmias and its potential treatment with more rapid and effective control approaches, a two-dimensional 50×50 cellular automata (CA) model is used in this study to illustrate the propagation of electrical waves across its tissue, and a constant diastolic interval (DI) control mechanism is adopted to help stabilize and prevent cardiac arrhythmias. Simulations of various scenarios including normal conduction and spiral waves in the presence of scar, normal conduction and alternans under control conditions are shown. The results validate that the CA model and constant DI control method are very efficient and effective in the study of dynamics and control of cardiac arrhythmias.

Original language	English (US)
Title of host publication	Adaptive/Intelligent Sys. Control; Driver Assistance/Autonomous Tech.; Control Design Methods; Nonlinear Control; Robotics; Assistive/Rehabilitation Devices; Biomedical/Neural Systems; Building Energy Systems; Connected Vehicle Systems; Control/Estimation of Energy Systems; Control Apps.; Smart Buildings/Microgrids; Education; Human-Robot Systems; Soft Mechatronics/Robotic Components/Systems; Energy/Power Systems; Energy Storage; Estimation/Identification; Vehicle Efficiency/Emissions
Publisher	American Society of Mechanical Engineers
ISBN (Electronic)	9780791884270
DOIs	https://doi.org/10.1115/DSCC2020-3129
State	Published - 2020
Event	ASME 2020 Dynamic Systems and Control Conference, DSCC 2020 - Virtual, Online Duration: Oct 5 2020 → Oct 7 2020

Publication series

Name	ASME 2020 Dynamic Systems and Control Conference, DSCC 2020
Volume	1

Conference

Conference	ASME 2020 Dynamic Systems and Control Conference, DSCC 2020
City	Virtual, Online
Period	10/5/20 → 10/7/20

Bibliographical note

Publisher Copyright:
Copyright © 2020 ASME

Keywords

Alternans
Arrhythmias
CA model
Constant DI control
Spiral wave

Publisher link

10.1115/DSCC2020-3129

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Gallenberger, D., Xiong, M., Zhuang, T. Z., Sun, K., Tolkacheva, E. G., & Zhao, X. (2020). A cellular automata model for dynamics and control of cardiac arrhythmias. In Adaptive/Intelligent Sys. Control; Driver Assistance/Autonomous Tech.; Control Design Methods; Nonlinear Control; Robotics; Assistive/Rehabilitation Devices; Biomedical/Neural Systems; Building Energy Systems; Connected Vehicle Systems; Control/Estimation of Energy Systems; Control Apps.; Smart Buildings/Microgrids; Education; Human-Robot Systems; Soft Mechatronics/Robotic Components/Systems; Energy/Power Systems; Energy Storage; Estimation/Identification; Vehicle Efficiency/Emissions Article V001T08A003 (ASME 2020 Dynamic Systems and Control Conference, DSCC 2020; Vol. 1). American Society of Mechanical Engineers. https://doi.org/10.1115/DSCC2020-3129

A cellular automata model for dynamics and control of cardiac arrhythmias. / Gallenberger, Danny; Xiong, Min; Zhuang, Tony Z. et al.
Adaptive/Intelligent Sys. Control; Driver Assistance/Autonomous Tech.; Control Design Methods; Nonlinear Control; Robotics; Assistive/Rehabilitation Devices; Biomedical/Neural Systems; Building Energy Systems; Connected Vehicle Systems; Control/Estimation of Energy Systems; Control Apps.; Smart Buildings/Microgrids; Education; Human-Robot Systems; Soft Mechatronics/Robotic Components/Systems; Energy/Power Systems; Energy Storage; Estimation/Identification; Vehicle Efficiency/Emissions. American Society of Mechanical Engineers, 2020. V001T08A003 (ASME 2020 Dynamic Systems and Control Conference, DSCC 2020; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Gallenberger, D, Xiong, M, Zhuang, TZ, Sun, K, Tolkacheva, EG & Zhao, X 2020, A cellular automata model for dynamics and control of cardiac arrhythmias. in Adaptive/Intelligent Sys. Control; Driver Assistance/Autonomous Tech.; Control Design Methods; Nonlinear Control; Robotics; Assistive/Rehabilitation Devices; Biomedical/Neural Systems; Building Energy Systems; Connected Vehicle Systems; Control/Estimation of Energy Systems; Control Apps.; Smart Buildings/Microgrids; Education; Human-Robot Systems; Soft Mechatronics/Robotic Components/Systems; Energy/Power Systems; Energy Storage; Estimation/Identification; Vehicle Efficiency/Emissions., V001T08A003, ASME 2020 Dynamic Systems and Control Conference, DSCC 2020, vol. 1, American Society of Mechanical Engineers, ASME 2020 Dynamic Systems and Control Conference, DSCC 2020, Virtual, Online, 10/5/20. https://doi.org/10.1115/DSCC2020-3129

Gallenberger D, Xiong M, Zhuang TZ, Sun K, Tolkacheva EG, Zhao X. A cellular automata model for dynamics and control of cardiac arrhythmias. In Adaptive/Intelligent Sys. Control; Driver Assistance/Autonomous Tech.; Control Design Methods; Nonlinear Control; Robotics; Assistive/Rehabilitation Devices; Biomedical/Neural Systems; Building Energy Systems; Connected Vehicle Systems; Control/Estimation of Energy Systems; Control Apps.; Smart Buildings/Microgrids; Education; Human-Robot Systems; Soft Mechatronics/Robotic Components/Systems; Energy/Power Systems; Energy Storage; Estimation/Identification; Vehicle Efficiency/Emissions. American Society of Mechanical Engineers. 2020. V001T08A003. (ASME 2020 Dynamic Systems and Control Conference, DSCC 2020). doi: 10.1115/DSCC2020-3129

Gallenberger, Danny ; Xiong, Min ; Zhuang, Tony Z. et al. / A cellular automata model for dynamics and control of cardiac arrhythmias. Adaptive/Intelligent Sys. Control; Driver Assistance/Autonomous Tech.; Control Design Methods; Nonlinear Control; Robotics; Assistive/Rehabilitation Devices; Biomedical/Neural Systems; Building Energy Systems; Connected Vehicle Systems; Control/Estimation of Energy Systems; Control Apps.; Smart Buildings/Microgrids; Education; Human-Robot Systems; Soft Mechatronics/Robotic Components/Systems; Energy/Power Systems; Energy Storage; Estimation/Identification; Vehicle Efficiency/Emissions. American Society of Mechanical Engineers, 2020. (ASME 2020 Dynamic Systems and Control Conference, DSCC 2020).

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abstract = "As a leading cause of death in 325,000 adults per year in the United States, a significant proportion of sudden cardiac arrest (SCA) result from arrhythmias. To better understand the onset of arrhythmias and its potential treatment with more rapid and effective control approaches, a two-dimensional 50×50 cellular automata (CA) model is used in this study to illustrate the propagation of electrical waves across its tissue, and a constant diastolic interval (DI) control mechanism is adopted to help stabilize and prevent cardiac arrhythmias. Simulations of various scenarios including normal conduction and spiral waves in the presence of scar, normal conduction and alternans under control conditions are shown. The results validate that the CA model and constant DI control method are very efficient and effective in the study of dynamics and control of cardiac arrhythmias.",

keywords = "Alternans, Arrhythmias, CA model, Constant DI control, Spiral wave",

author = "Danny Gallenberger and Min Xiong and Zhuang, {Tony Z.} and Kai Sun and Tolkacheva, {Elena G.} and Xiaopeng Zhao",

note = "Publisher Copyright: Copyright {\textcopyright} 2020 ASME; ASME 2020 Dynamic Systems and Control Conference, DSCC 2020 ; Conference date: 05-10-2020 Through 07-10-2020",

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doi = "10.1115/DSCC2020-3129",

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AU - Xiong, Min

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AU - Zhao, Xiaopeng

PY - 2020

Y1 - 2020

N2 - As a leading cause of death in 325,000 adults per year in the United States, a significant proportion of sudden cardiac arrest (SCA) result from arrhythmias. To better understand the onset of arrhythmias and its potential treatment with more rapid and effective control approaches, a two-dimensional 50×50 cellular automata (CA) model is used in this study to illustrate the propagation of electrical waves across its tissue, and a constant diastolic interval (DI) control mechanism is adopted to help stabilize and prevent cardiac arrhythmias. Simulations of various scenarios including normal conduction and spiral waves in the presence of scar, normal conduction and alternans under control conditions are shown. The results validate that the CA model and constant DI control method are very efficient and effective in the study of dynamics and control of cardiac arrhythmias.

AB - As a leading cause of death in 325,000 adults per year in the United States, a significant proportion of sudden cardiac arrest (SCA) result from arrhythmias. To better understand the onset of arrhythmias and its potential treatment with more rapid and effective control approaches, a two-dimensional 50×50 cellular automata (CA) model is used in this study to illustrate the propagation of electrical waves across its tissue, and a constant diastolic interval (DI) control mechanism is adopted to help stabilize and prevent cardiac arrhythmias. Simulations of various scenarios including normal conduction and spiral waves in the presence of scar, normal conduction and alternans under control conditions are shown. The results validate that the CA model and constant DI control method are very efficient and effective in the study of dynamics and control of cardiac arrhythmias.

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KW - Spiral wave

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ER -

A cellular automata model for dynamics and control of cardiac arrhythmias

Abstract

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Conference

Bibliographical note

Keywords

Publisher link

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