Application of stochastic phenomenological modelling to cell-to-cell and beat-to-beat electrophysiological variability in cardiac tissue.

Walmsley, John; Mirams, Gary R; Pitt-Francis, Joe; Rodriguez, Blanca; Burrage, Kevin

Walmsley, John; Mirams, Gary R; Pitt-Francis, Joe; Rodriguez, Blanca; Burrage, Kevin.

Afiliación

Walmsley J; Department of Computer Science, University of Oxford, Oxford, United Kingdom. Electronic address: j.walmsley@maastrichtuniversity.nl.
Mirams GR; Department of Computer Science, University of Oxford, Oxford, United Kingdom.
Pitt-Francis J; Department of Computer Science, University of Oxford, Oxford, United Kingdom.
Rodriguez B; Department of Computer Science, University of Oxford, Oxford, United Kingdom.
Burrage K; Department of Computer Science, University of Oxford, Oxford, United Kingdom; School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.

J Theor Biol ; 365: 325-36, 2015 Jan 21.

Article en En | MEDLINE | ID: mdl-25451525

Asunto(s)

Fenómenos Electrofisiológicos; Frecuencia Cardíaca/fisiología; Corazón/fisiología; Modelos Cardiovasculares; Potenciales de Acción/fisiología; Animales; Simulación por Computador; Cobayas; Procesos Estocásticos; Factores de Tiempo

Palabras clave

Cardiac electrophysiology; Inter-cellular coupling; Stochastic simulation

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Fenómenos Electrofisiológicos / Corazón / Frecuencia Cardíaca / Modelos Cardiovasculares Tipo de estudio: Prognostic_studies / Qualitative_research Límite: Animals Idioma: En Revista: J Theor Biol Año: 2015 Tipo del documento: Article

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