NDLI: A study on prediction methods for a cardiovascular strong-coupling simulation

Content Provider	IEEE Xplore Digital Library
Author	Hasegawa, Yuki Shimayoshi, Takao Amano, Akira Matsuda, Tetsuya
Copyright Year	2011
Description	Author affiliation: Department of Bioinformatics, Ritsumeikan University, Kyoto, 611-0031, Japan (Amano, Akira) \|\| Graduate School of Informatics, Kyoto Univerisity, Kyoto, 606-8501, Japan (Hasegawa, Yuki; Matsuda, Tetsuya) \|\| ASTEM RI, Kyoto, 600-8813, Japan (Shimayoshi, Takao)
Abstract	We investigated numerical methods for predictors in a multiscale cardiovascular simulation model. The proposed method predicts initial approximations for the iterative convergence calculations of the strong coupling method using the smoothing spline to remove errors from values of past timesteps and using the linear and second-order extrapolation. The new coupling algorithm was used for coupling a left ventricular finite element model to a myocardial excitation-contraction model. We performed experiments with different values for the smoothing parameter λ and with linear and second-order extrapolations. λ=1 with the linear extrapolation gave the best results. It reduced computation time by 91% compared to the strong coupling method. With the use of the smoothing spline, distance between the initial approximation and converged solution reduced by 62%, while the average number of iterations reduced by 32%. The smoothing spline can be used to improve the accuracy of predictors and reduce the number of iterations needed for the computation of the convergence procedure.
Starting Page	137
Ending Page	140
File Size	428608
Page Count	4
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6089913
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 Couplings Smoothing methods Computational modeling Extrapolation Spline Equations
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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