A coupling method for a cardiovascular simulation model which includes the Kalman Filter

Yuki Hasegawa, Takao Shimayoshi, Akira Amano, Tetsuya Matsuda

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

1 被引用数 (Scopus)

抄録

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.

本文言語英語
ホスト出版物のタイトル2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
ページ1222-1225
ページ数4
DOI
出版ステータス出版済み - 12月 14 2012
外部発表はい
イベント34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA, 米国
継続期間: 8月 28 20129月 1 2012

出版物シリーズ

名前Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN(印刷版)1557-170X

その他

その他34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
国/地域米国
CitySan Diego, CA
Period8/28/129/1/12

!!!All Science Journal Classification (ASJC) codes

  • 信号処理
  • 生体医工学
  • コンピュータ ビジョンおよびパターン認識
  • 健康情報学

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