Key result
Theoretical approaches using mathematical modeling of the myocardium and pattern recognition of autowave vortices offer new possibilities for diagnosing and predicting cardiac dysfunctions.
Presents theoretical approaches using mathematical physics (cardiophysics) for diagnosing and predicting cardiac dysfunctions, including autowave vortices and heart rate variability.
Theoretical modeling may enable autowave-based diagnostics; hypothesis-generating and requires clinical validation before practice change.
Theoretical approaches to solving problems of diagnosing and predicting cardiac dysfunctions within the framework of modern mathematical physics of the heart (cardiophysics) are presented. The possibilities for diagnostic purposes of using recognition of patterns of behavior of autowave vortices that arise in the heart during dangerous disturbances in its functioning are considered. The prospects for the development of new methods for diagnosing patterns of the basic heart rhythm in the development of already recognized methods for analyzing heart rate variability are discussed.
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Makhortykh et al. (2023) conducted a review in Cardiac dysfunctions. Mathematical modeling of the myocardium was evaluated. Theoretical approaches using mathematical modeling of the myocardium and pattern recognition of autowave vortices offer new possibilities for diagnosing and predicting cardiac dysfunctions.
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