Study of the restitution of action potential duration using the artificial neural network.
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.
Han
Xinwei
X
Biomedical Engineering Institute, Huazhong University of Science and Technology, China.
Chen
Yao
Y
Gao
Weihua
W
Xue
Juel
J
Han
Xiaodong
X
Fang
Zuxiang
Z
Yang
Cuiwei
C
Wu
Xiaomei
X
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*