Abstract
In current medical practice, the diagnosis and treatment of cardiac arrhythmias in people is carried out without mathematical analysis of the underlying mechanisms of the underlying rhythm. In this article I describe how nonlinear dynamics is being used to formulate mathematical models of cardiac arrhythmias, and to demonstrate the ways the mathematics can be used to predict the changes in rhythms that occur as physiological parameters vary. In spatially heterogeneous cardiac tissue culture, a number of different patterns of spatiotemporal activity can be found, including propagating plane waves, rotating spiral waves, and spiral waves that spontaneously initiate and terminate. These paroxysmal patterns are similar to the paroxysmal rhythms observed during cardiac arrhythmias in people. Mathematical analyses of cardiac arrhythmias can be used to determine automatically if certain arrhythmias, such as atrial fibrillation, are present in individuals. Attempts are also underway to develop new methods to analyze normal and abnormal cardiac activity in patients to better assess the risk of fatal arrhythmias before they occur.
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Glass, L. (2006). Cardiac Oscillations and Arrhythmia Analysis. In: Deisboeck, T.S., Kresh, J.Y. (eds) Complex Systems Science in Biomedicine. Topics in Biomedical Engineering International Book Series. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-33532-2_16
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DOI: https://doi.org/10.1007/978-0-387-33532-2_16
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