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Research advance on the electrophysiological modeling and simulation of short QT syndrome

  • School of Computer Science and Technology, Harbin Institute of Technology
  • Ocean University of China
  • University of Manchester

Research output: Contribution to journalReview articlepeer-review

Abstract

Multi-physical scale modeling for simulating the electrophysiological dynamics of the heart is rapidly evolving and has made significant progress in the last d ecade. In this paper, we briefly review the current development of cardiac modelin g field with a particular focus on the modeling of short QT(SQT)syndrome arising from gene mutations in cardiac potassium channels. Firstly, we introduce Denis No ble's definition on multi-physical scale modeling of cardiac systems at sub-c ellular, cellular, tissue and whole organ levels. Secondly, we describe quantities that have been used to characterize the functional impacts of SQT gene mutation s on the electrical activity of cardiac systems at cellular, tissue and whole org an levels. Then we review up-to-date research results on quantifying the functi onal impacts of three SQT gene mutations associated with potassium channels on t he genesis of cardiac arrhythmia that underlie cardiac sudden death. Finally we o utline possible research and application prospects of the electrophysiological m odeling and simulation of SQT syndrome in the future.

Original languageEnglish
Pages (from-to)120-128
Number of pages9
JournalTien Tzu Hsueh Pao/Acta Electronica Sinica
Volume43
Issue number1
DOIs
StatePublished - 1 Jan 2015
Externally publishedYes

Keywords

  • Computational cardiology
  • Gene mutation
  • Modeling and simulation
  • Short QT syndrome
  • Virtual heart

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