南方医科大学学报 ›› 2006, Vol. 26 ›› Issue (05): 549-552.

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基于解剖结构和动作电位的心室电活动仿真方法

喻德旷; 杨谊; 尹炳生; 李本富; 农德斌; 周翔;   

  1. 南方医科大学基础医学院心电研究中心; 南方医科大学生物医学工程学院; 南方医科大学基础医学院心电研究中心 广东广州5105153; 广东广州510515;
  • 出版日期:2006-05-20 发布日期:2006-05-20
  • 基金资助:
    国家自然科学基金(30471647)~~

An efficient method for simulating ventricular electrical activity based on anatomic structure by incorporating AP model

YU De-kuang1,YANG Yi2,YIN Bing-sheng1,LI Ben-fu1,NONG De-bin1,ZHOU Xiang1 Cardiac Electricity Research Center,College of Basic Medicine1,College of Biomedical Engineering2,Southern Medical University,Guangzhou 510515,China   

  1. 南方医科大学基础医学院心电研究中心; 南方医科大学生物医学工程学院; 南方医科大学基础医学院心电研究中心 广东广州5105153; 广东广州510515;
  • Online:2006-05-20 Published:2006-05-20

摘要: 组成心脏的心肌细胞具有自身的电活动特点,心脏通过传导系统协调全心脏心肌细胞的电活动,引起心脏的功能性机械运动。传统的医学实验方法难以复制心脏的电活动模型和直接观察心脏电活动的演变过程,而心电活动的仿真可以模拟心脏电兴奋的传播演变过程,对复杂生物系统进行直接观测。本文在分析心脏解剖结构的基础上,通过算法仿真兴奋在心肌细胞之间的传递过程,计算出各心肌细胞的电活动。本文设计了一个体现心肌纤维走向和心室细胞分层结构的几何结构模型,对不同层的心肌细胞赋予不同动作电位模型,实现了兴奋在心室肌细胞之间的传递和各心室肌细胞的电活动,并以剖切三维显示来观察兴奋过程。本文中的方法兼顾了计算量和效率,使得高分辨率的基于解剖结构和细胞电生理的心室电活动仿真在普通PC机上实现,取得了较好的仿真效果。

Abstract: Conventional medical experiments can hardly simulate cardiac excitation propagation and observe the evolvement of cardiac electrical activities firsthand as is possible with computer simulation.Based on the anatomic structure of the heart,simulation of cardiac electrical activity mainly consists of the emulation of the excitation process among the cardiac cells and calculation of the electrical activities of individual cardiac cells.In this study we establish a geometric ventricular structure model demonstrating the direction of the cardiac muscle fibers and the layers of the ventricular cells,and endow different action potential models to the ventricular cells of different layers,and observe the activation process of the ventricular parts in view of the three-dimensional anatomy.This method gives attention to both enough calculation amounts and efficiency,which achieves satisfactory simulation results of ventricular electrical activity based on the anatomic structure and cell electrophysiology through an improved algorithm on personal computer. 

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