@inproceedings{a944339816824b3da37235b10b537bb4,
title = "Estimation of Activation Sequences of Heart Using Cardiac Cell Models",
abstract = "One of the most common causes of death globally in the past few years is cardiac arrhythmia (irregular heartbeat), which occurs when the electric signals that coordinate the heartbeat don't work appropriately. As a result, there is a need to focus on understanding the basic mechanisms of heart rhythm variations. This paper focuses on cardiac excitation and uses a model replicating the electrical behavior of heart cells to generate an action potential. The activation times of the selected sources on the heart's surface from ECGSIM were compared with those generated using an electronic circuit model. The findings indicated a good match between the simulation results with a minimal error rate of milliseconds. The computational modeling of the electrical model of the cardiac cell was performed to explore the effect of the space or length constant (λ), which measures how well a potential spreads along the heart cell as a function of distance.",
author = "H. Reshma and Bhat, {Vikas R.} and H. Anitha",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Modelling, Simulation and Intelligent Computing, MoSICom 2023 ; Conference date: 07-12-2023 Through 09-12-2023",
year = "2023",
doi = "10.1109/MoSICom59118.2023.10458749",
language = "English",
series = "Proceedings of IEEE International Conference on Modelling, Simulation and Intelligent Computing, MoSICom 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "150--155",
editor = "Jagadish Nayak and Gaidhane, {Vilas H} and Nilesh Goel",
booktitle = "Proceedings of IEEE International Conference on Modelling, Simulation and Intelligent Computing, MoSICom 2023",
address = "United States",
}