A study on the relationship between electrical transmural heterogeneity and ventricular energetics

Yuki Hasegawa, Mitsuharu Mishima, Takao Shimayoshi, Akira Amano, Tetsuya Matsuda

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

In this study, we use cardiovascular simulation to gain new insights on the correlation between electrical heterogeneity and ventricular energetics. Although there are numerous in vivo and in vitro studies on the electrical heterogeneity within the ventricular myocardium, not much attention has been directed to its correlation to cardiovascular mechanics, because of difficulties in simultaneously observing and analyzing multiple spatial scales(the cell, the organ, and the system). We performed simulations with two cardiovascular simulation models, one which uses different myocardial cell models for the epicardial, endocardial, and mid-myocardial cells, and another which uses a homogeneous model throughout the entire myocardium. The epicardial, endocardial, and midmyocardial cell models were created by parametrically tuning a homogenous cell model. From the cardiovascular simulation we obtained pressure-volume loops which were used to calculate cardiovascular energetic efficiency and myocardial contractility. We found that energetic efficiency is higher in the electrically heterogeneous model.

本文言語英語
ホスト出版物のタイトル2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
ページ6854-6857
ページ数4
DOI
出版ステータス出版済み - 10 31 2013
外部発表はい
イベント2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 - Osaka, 日本
継続期間: 7 3 20137 7 2013

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2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
国/地域日本
CityOsaka
Period7/3/137/7/13

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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