NDLI: Tissue-based optimization of a sino-atrial node disc model

Content Provider	IEEE Xplore Digital Library
Author	Abed, A.A. Guo, T. Lovell, N.H. Dokos, S.
Copyright Year	2011
Description	Author affiliation: Graduate School of Biomedical Engineering, the University of New South Wales, Sydney, 2052, Australia (Abed, A.A.; Guo, T.; Lovell, N.H.; Dokos, S.)
Abstract	A cardiac sino-atrial tissue model based on a simplified 2D disc geometry and a generic ionic model is described and optimized to fit intact-tissue microelectrode experimental recordings. Concentric regions were defined representing the central and peripheral sino-atrial node and the atrium, each with a unique set of ionic model parameters. Intracellular action potentials were recorded from the respective myocytes in an intact rabbit in vitro sino-atrial tissue preparation. The 2D disc geometry was described numerically using a modified version of the cable equation of electrical propagation. The cell-specific model parameters at three nodes representing each region of the disc geometry were optimized, using a curvilinear gradient optimization algorithm, to generate action potentials waveforms that fitted the experimentally recorded waveforms. The optimized model was able to reproduce spontaneous sino-atrial node activation and atrial excitation and propagation. It offers an improved representation of the electrotonic interactions between heterogenous cell types and is able to reproduce the transition in action potential morphology between different regions. This tissue based optimization approach is a contribution to the development of realistic electro-anatomical cardiac models based on experimental data.
Starting Page	1375
Ending Page	1378
File Size	343762
Page Count	4
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6090323
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mathematical model Optimization Computational modeling Geometry Storage area networks Electric potential Morphology
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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