Application of Information Theory and Entropy in Cardiology
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Entropy and Biology".
Deadline for manuscript submissions: closed (31 March 2020) | Viewed by 9638
Special Issue Editor
Special Issue Information
Dear Colleagues,
The human heart is a complex system composed of 5 billion autonomous cardiomyocytes that interact with each other with simple rules of operation and minimal central control. This interaction, through a reaction–diffusion process, leads to system behaviors at multiple scales. At the microscopic scale, the system behavior is characterized by transitions of cardiomyocyte states between excitation and relaxation. This relatively simple micro-scale behavior, by creating a series of traveling waves, can generate a multitude of arrhythmia at the macroscopic scale that controls the life and death of millions of human beings worldwide.
Like any other complex system, the heart is non-Markovian and non-ergodic, because it is out-of-equilibrium, path- and history-dependent, has a long memory, and has long-range interactions. As such, the heart violates Shannon–Khinchin’s composition axiom, a requirement for an entropy to be a measure for uncertainty. Nevertheless, information theory continues to be an important and useful tool to improve the understanding of heart disease and complex systems in general.
This Special Issue will focus on the application of information theory in Cardiology to understand 1) the relationship between micro- and macro-scale behaviors of the heart, 2) phase transitions in the cardiac system, and 3) the mechanism of heart disease.
Papers exploring topics from molecular to population scales will be considered. Papers describing information-theoretic approaches and findings that are applicable to other complex systems are particularly preferred. Theoretical and numerical investigations are also welcome.
Prof. Hiroshi Ashikaga
Guest Editor
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