Title :
Local propagation in a simulated ventricular cell aggregates
Author :
Kim, Soowon ; Zhou, Jianhua ; Waldron, Manjula B.
Author_Institution :
Biomed. Eng. Center, Ohio State Univ., Columbus, OH, USA
Abstract :
A recurrent SpatioTEmporal neuron (rSTEN) is a mathematical model which simulates the properties of a ventricular cell aggregate. A 20 layer hexagonal network of rSTEN was constructed. It was found that the propagation patterns in the network were dependent on the properties of rSTEN such as the synaptic efficacy and the length of the refractory period rather than the interstimulus interval of the input itself
Keywords :
electrocardiography; 20 layer hexagonal network; interstimulus interval; local propagation; mathematical model; membrane potential; propagation patterns; rSTEN; recurrent spatiotemporal neuron; refractory period length; simulated ventricular cell aggregates; synaptic efficacy; Aggregates; Biomedical engineering; Delay effects; Electric potential; Heart; Mathematical model; Neurofeedback; Neurons; Research and development; Spatiotemporal phenomena;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.415337
