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Modeling specific action potentials in the human atria based on a minimal single-cell model
- Source :
- PLoS ONE, Vol 13, Iss 1, p e0190448 (2018), PLoS ONE
- Publication Year :
- 2018
- Publisher :
- Public Library of Science (PLoS), 2018.
-
Abstract
- We present an effective method to model empirical action potentials of specific patients in the human atria based on the minimal model of Bueno-Orovio, Cherry and Fenton adapted to atrial electrophysiology. In this model, three ionic are currents introduced, where each of it is governed by a characteristic time scale. By applying a nonlinear optimization procedure, a best combination of the respective time scales is determined, which allows one to reproduce specific action potentials with a given amplitude, width and shape. Possible applications for supporting clinical diagnosis are pointed out.
- Subjects :
- 0301 basic medicine
RNA viruses
Physiology
Action Potentials
lcsh:Medicine
Plant Science
030204 cardiovascular system & hematology
Pathology and Laboratory Medicine
Biochemistry
Polynomials
Nonlinear programming
0302 clinical medicine
Atrial Fibrillation
Medicine and Health Sciences
lcsh:Science
Mathematics
Multidisciplinary
Pharmaceutics
Models, Cardiovascular
Electrophysiology
Tobacco Mosaic Virus
Chemistry
Amplitude
Tobamoviruses
Medical Microbiology
Viral Pathogens
Viruses
Physical Sciences
Pathogens
Biological system
Arrhythmia
Research Article
Chemical Elements
Scale (ratio)
Plant Pathogens
Cardiology
Neurophysiology
Bioenergetics
Membrane Potential
Microbiology
Plant Viral Pathogens
Minimal model
03 medical and health sciences
Drug Therapy
Ionic Current
Effective method
Humans
Heart Atria
Microbial Pathogens
Simulation
Cell model
Sodium
lcsh:R
Organisms
Biology and Life Sciences
Plant Pathology
Action (physics)
030104 developmental biology
Algebra
lcsh:Q
Neuroscience
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 13
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....c95a6a21300013aed8d1ebc3c9190183