title: Study of the restitution of action potential duration using the artificial neural network.
abstract: It is widely accepted that the APD (action potential duration) restitution plays a key role in the initializing and maintaining of the reentry arrhythmias. The Luo-Rudy II models paced with different protocols showed that the current APD had a complex relation with the previous APDs and diastole intervals (DIs). This relation could not be accurately described by a single exponential function. We used an artificial neural network to formularize this relation. The results suggested that back-propagation (BP) network could predict the current APD from the information of the first three previous beats. This would help provide a target for potential anti-arrhythmic therapies.
authors.affiliation: Biomedical Engineering Institute, Huazhong University of Science and Technology, China.
authors.forename: Xinwei
authors.initials: X
authors.lastname: Han
authors.forename: Yao
authors.initials: Y
authors.lastname: Chen
authors.forename: Weihua
authors.initials: W
authors.lastname: Gao
authors.forename: Juel
authors.initials: J
authors.lastname: Xue
authors.forename: Xiaodong
authors.initials: X
authors.lastname: Han
authors.forename: Zuxiang
authors.initials: Z
authors.lastname: Fang
authors.forename: Cuiwei
authors.initials: C
authors.lastname: Yang
authors.forename: Xiaomei
authors.initials: X
authors.lastname: Wu
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D003971:Diastole / Q000502:physiology; D005246:Feedback / Q000502:physiology; D006801:Humans; D008955:Models, Cardiovascular; D016571:Neural Networks, Computer; D014693:Ventricular Fibrillation / Q000503:physiopathology*