Suppr超能文献

用于分类心脏折返波的新指数:计算机模拟评估。

New index for categorising cardiac reentrant wave: in silico evaluation.

机构信息

Department of Mechanical & Biomedical Engineering, Kangwon National University, Republic of Korea.

出版信息

IET Syst Biol. 2011 Sep;5(5):317-23. doi: 10.1049/iet-syb.2011.0019.

Abstract

Based on the similarity between a reentrant wave in cardiac tissue and a vortex in fluid dynamics, the authors hypothesised that a new non-dimensional index, like the Reynolds number in fluid dynamics, may play a critical role in categorising reentrant wave dynamics. Therefore the goal of the present study is to devise a new index to characterise electric wave conduction in cardiac tissue and examined whether this index can be used as a biomarker for categorising the reentrant wave pattern in cardiac tissue. Similar to the procedure used to derive the Reynolds number in fluid dynamics, the authors used a non-dimensionalisation technique to obtain the new index. Its usefulness was verified using a two-dimensional simulation model of electrical wave propagation in cardiac tissue. The simulation results showed that electrical waves in cardiac tissue move into an unstable region when the index exceeds a threshold value.

摘要

基于心脏组织中的折返波与流体动力学中的漩涡之间的相似性,作者假设一个新的无量纲指数,类似于流体动力学中的雷诺数,可能在分类折返波动力学方面发挥关键作用。因此,本研究的目的是设计一个新的指数来描述心脏组织中的电波传导,并研究该指数是否可用于作为分类心脏组织中折返波模式的生物标志物。类似于在流体动力学中推导雷诺数的过程,作者使用无量纲化技术获得了新的指数。通过使用心脏组织中电波传播的二维模拟模型验证了其有用性。模拟结果表明,当指数超过阈值时,心脏组织中的电波会进入不稳定区域。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验