To quantify and perturb cardiac fibrillation that emerges as a macro-scale behavior of the heart from micro-scale behaviors of inter-dependent components.
Cardiac Electrophysiology; Spiral Wave; Information Theory; Complex Networks
Electrical communication between cardiomyocytes can be perturbed during arrhythmia, which could lead to loss of information about the input. Conventional electrocardiographic metrics cannot quantify how arrhythmia impacts the communication between individual cardiomyocytes. Dr. Ashikaga’s contribution was to propose a novel paradigm that the heart is a communication system where information is shared by electrical wave propagation between cardiomyocytes (ref 1). Under this paradigm, cardiac arrhythmia can be viewed as a state of abnormal production and transmission of information that can be quantified by measures of information theory, which is a mathematical theory of communication.
Peer-Reviewed Original Research Articles: