title: Geometrical measurement of cardiac wavelength in reaction-diffusion models.
abstract: The dynamics of reentrant arrhythmias often consists in multiple wavelets propagating throughout an excitable medium. An arrhythmia can be sustained only if these reentrant waves have a sufficiently short wavelength defined as the distance traveled by the excitation wave during its refractory period. In a uniform medium, wavelength may be estimated as the product of propagation velocity and refractory period (electrophysiological wavelength). In order to accurately measure wavelength in more general substrates relevant to atrial arrhythmias (heterogeneous and anisotropic), we developed a mathematical framework to define geometrical wavelength at each time instant based on the length of streamlines following the propagation velocity field within refractory regions. Two computational methods were implemented: a Lagrangian approach in which a set of streamlines were integrated, and an Eulerian approach in which wavelength was the solution of a partial differential equation. These methods were compared in 1D/2D tissues and in a model of the left atrium. An advantage of geometrical definition of wavelength is that the wavelength of a wavelet can be tracked over time with high temporal resolution and smaller temporal variability in an anisotropic and heterogeneous medium. The results showed that the average electrophysiological wavelength was consistent with geometrical measurements of wavelength. Wavelets were however often shorter than the electrophysiological wavelength due to interactions with boundaries and other wavelets. These tools may help to assess more accurately the relation between substrate properties and wavelet dynamics in computer models.
authors.affiliation: Institut de Génie Biomédical, Department of Physiology, Faculty of Medicine, Université de Montréal, Montréal (Québec) H3T 1J4, Canada and Centre de Recherche, Hôpital du Sacré-Coeur de Montréal, Montréal (Québec) H4J 1C5, Canada.
authors.forename: Marie
authors.initials: M
authors.lastname: Dupraz
authors.affiliation: Institut de Génie Biomédical, Department of Physiology, Faculty of Medicine, Université de Montréal, Montréal (Québec) H3T 1J4, Canada and Centre de Recherche, Hôpital du Sacré-Coeur de Montréal, Montréal (Québec) H4J 1C5, Canada.
authors.forename: Vincent
authors.initials: V
authors.lastname: Jacquemet
mesh_terms: D000818:Animals; D001145:Arrhythmias, Cardiac / Q000503:physiopathology*; D003198:Computer Simulation; D055724:Electrophysiological Phenomena; D006321:Heart / Q000503:physiopathology*; D006801:Humans; D008955:Models, Cardiovascular