2012年
A Coupling Method for a Cardiovascular Simulation Model which includes the Kalman Filter
2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
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- 巻
- 2012
- 号
- 開始ページ
- 1222
- 終了ページ
- 1225
- 記述言語
- 英語
- 掲載種別
- DOI
- 10.1109/EMBC.2012.6346157
- 出版者・発行元
- IEEE
Multi-scale models of the cardiovascular system provide new insight that was unavailable with in vivo and in vitro experiments. For the cardiovascular system, multi-scale simulations provide a valuable perspective in analyzing the interaction of three phenomenons occurring at different spatial scales: circulatory hemodynamics, ventricular structural dynamics, and myocardial excitation-contraction. In order to simulate these interactions, multiscale cardiovascular simulation systems couple models that simulate different phenomena. However, coupling methods require a significant amount of calculation, since a system of non-linear equations must be solved for each timestep. Therefore, we proposed a coupling method which decreases the amount of calculation by using the Kalman filter. In our method, the Kalman filter calculates approximations for the solution to the system of non-linear equations at each timestep. The approximations are then used as initial values for solving the system of non-linear equations. The proposed method decreases the number of iterations required by 94.0% compared to the conventional strong coupling method. When compared with a smoothing spline predictor, the proposed method required 49.4% fewer iterations.
- リンク情報
- ID情報
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- DOI : 10.1109/EMBC.2012.6346157
- ISSN : 1557-170X
- J-Global ID : 201502882926817231
- Web of Science ID : WOS:000313296501121