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Visualization of Simulated Arrhythmias due to Gap Junctions

Published: 13 September 2018 Publication History

Abstract

New computational models are able to simulate details of cardiac cell networks. Their results allow a better understanding of the functionality of the heart and suggest possible actions to reduce non-fatal premature beats that can give rise to serious diseases.
We developed a user-friendly interface to organize Neuron simulations and to present in real-time a three-dimensional representation of the electrical activity due to the gap junctions which interconnect the cells inside cardiac tissues. All physiological parameters were set according to real experimental observations and compared against different types of arrhythmias, retrieved from the Physionet Data Base.

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cover image ACM Other conferences
CompSysTech '18: Proceedings of the 19th International Conference on Computer Systems and Technologies
September 2018
206 pages
ISBN:9781450364256
DOI:10.1145/3274005
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

  • ERSVB: EURORISC SYSTEMS - Varna, Bulgaria
  • FOSEUB: FEDERATION OF THE SCIENTIFIC ENGINEERING UNIONS - Bulgaria
  • UORB: University of Ruse, Bulgaria
  • TECHUVB: Technical University of Varna, Bulgaria

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 September 2018

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Author Tags

  1. Blender rendering
  2. Gap junctions
  3. Neuron simulation
  4. erratic arrhythmias

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CompSysTech'18

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Overall Acceptance Rate 241 of 492 submissions, 49%

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