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Potential pathogenesis discovery of arrhythmia based on cardiac electrophysiological models: Research progress

  • Jie Yun Bai
  • , Kuan Quan Wang*
  • , Heng Gui Zhang
  • *Corresponding author for this work
  • University of Manchester
  • School of Computer Science and Technology, Harbin Institute of Technology

Research output: Contribution to journalReview articlepeer-review

Abstract

Revealing the pathogenesis of arrhythmia is a key task involved in diagnosis, treatment, drug development and equipment design. Multi-scale and multi-mode models of cardiac electrophysiology from ion channel, cell, fiber, tissue, heart to torso-heart integrated various physiological and pathological data from molecular biology, biochemistry, physiology and anatomy of the heart, changed research methods based on gene mutation, protein expression, cell electrophysiology and clinical symptoms completely and created a systematic approach for studying development and transformation of arrhythmias from microscopic changes to macroscopic pathology. The most important is that the cardiac electrophysiological model, which is a powerful tool for studying the mechanisms of arrhythmia, becomes the unified method of micro and macro research. In this paper, we summarized the method of constructing cardiac electrophysiological models, discussed the role and status of the multi-scale cardiac electrophysiological model in the study of cardiac arrhythmia mechanism, and outlined important research prospects and challenges of the electrophysiological modeling and simulation of arrhythmia in the future.

Original languageEnglish
Pages (from-to)128-140
Number of pages13
JournalProgress in Biochemistry and Biophysics
Volume43
Issue number2
DOIs
StatePublished - Feb 2016
Externally publishedYes

Keywords

  • Cardiac arrhythmia
  • Cardiac electrophysiology model
  • Computational cardiology
  • Modeling and simulation
  • Physiology
  • Systems biology
  • Virtual heart

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