Computational Module of the Cardiac Electrophysiology System for Analysing Risk Factors in Cardiovascular Disease

Cardiovascular diseases are one of the main causes of death in the world. The problem of identifying the causes of heart rhythm disorders and ways to treat them is becoming more and more urgent. Computational methods of modelling the electrophysiology of the heart allow to study more deeply the mechanisms of occurrence and development of diseases, as well as to develop new methods of diagnostics and treatment. The article describes the results of application of the Aliev-Panfilov model, one of the most frequently used models in the computation of cardiac electrophysiology. This makes the model a valuable tool for studying the electrical dysfunction of the heart and developing new methods of treatment and prevention of cardiovascular diseases.