Department of Mechanical & Biomedical Engineering, Kangwon National University, Republic of Korea.
IET Syst Biol. 2011 Sep;5(5):317-23. doi: 10.1049/iet-syb.2011.0019.
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.
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。
