Multiscale computational analysis of the bioelectric consequences of myocardial ischaemia and infarction

Area of Science:

• Cardiovascular Physiology
• Computational Biology
• Biomedical Engineering

Background:

• Ischaemic heart disease is the leading global cause of mortality, responsible for over 7 million deaths annually.
• Sudden cardiac death, often due to tachyarrhythmias from myocardial ischaemia/infarction, presents significant research challenges.
• Experimental studies face limitations in fully understanding the complex dynamics of these unstable cardiac conditions.

Purpose of the Study:

• To review multiscale computational models of myocardial ischaemia and infarction.
• To highlight advancements in simulation techniques over the past two decades.
• To demonstrate the utility of computational approaches in understanding ischaemic electrophysiology.

Main Methods:

• Review of multiscale computational models (cellular to whole-heart).
• Analysis of simulation techniques applied to myocardial ischaemia and infarction.
• Integration of computational findings with experimental and clinical research.

Main Results:

• Computational models provide powerful tools to complement experimental research.
• These models help elucidate the intricate mechanisms of ischaemic electrophysiological processes.
• Simulations aid in optimizing therapeutic strategies for patients.

Conclusions:

• Multiscale computational modeling is crucial for advancing the understanding of ischaemic heart disease.
• Integrative simulation techniques enhance the study of complex cardiac dynamics.
• Computational approaches support clinical decision-making and treatment optimization for myocardial infarction.