摘要
脑电活动源可以用一个或几个偶极子等效。脑电偶极子源定位就是通过改变等效偶极子的参数使正向计算所得头皮电位与测量电位拟合,在数学上表现为最小均方误差的非线性代价函数,这是一个非常复杂的优化问题,求解通常依赖于非线性优化算法。提出了基于MATLAB与VC++混合编程的仿真计算。利用了MATLAB强大的遗传算法工具箱和VC++界面编程容易和代码执行效率高的优点。实验结果表明,采用混合编程的仿真计算极大地提高了编程效率,减少了系统资源的消耗。
Active neurons within small regions of the brain are often modeled as one or several current dipoles. The problem of dipole source localization is solved by changing the dipoles＂ parameters so that the potential of scalp calculated by the forward problem is equal to measured potential. It is represented by the least-square-error non-linear expensive function in mathematics. It is a very complex problem and its solution depends on the algorithm of non-linear optimization. This paper proposes the simulation based on mixed programming of MATLAB and VC＋ ＋. It takes advantage of genetic algorithm of MATLAB＇s tool-box and makes use of the easy interface programming and the high code execution. The result of the experiment manifests that the simulation based on mixed programming greatly raises programming efficiency and decreases the consumption of system＇s resource.
出处
《河北工业科技》
CAS
2008年第5期287-290,共4页
Hebei Journal of Industrial Science and Technology
