Name
Title | ||
|---|---|---|
A coupling method for a cardiovascular simulation model which includes the Kalman filter. |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/EMBC.2012.6346157 | EMBC |
Keywords | Field | DocType |
ventricular structural dynamics,kalman filter,kalman filters,myocardial excitation-contraction,medical signal processing,circulatory hemodynamics,cardiovascular system,physiological models,cardiovascular simulation model,in vitro experiments,in vivo experiments,conventional strong coupling method,spatial scales,smoothing spline predictor,multiscale models,nonlinear equations,haemodynamics | Coupling,Nonlinear system,Control theory,Computer science,Smoothing spline,Kalman filter | Conference |
Volume | ISSN | ISBN |
2012 | 1557-170X | 978-1-4577-1787-1 |
Citations | PageRank | References |
1 | 0.42 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuki Hasegawa | 1 | 1 | 0.76 |
| Takao Shimayoshi | 2 | 10 | 6.87 |
| Akira Amano | 3 | 33 | 7.69 |
| Tetsuya Matsuda | 4 | 26 | 8.88 |