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极量强度运动NIRS组织氧检测最佳耦合参数的仿真研究

Simulation of optimal coupling parameter for NIRS tissue oxygenation measurement in extreme intensity sports

作者: 王培勇  王攀 
单位:清华大学生物医学工程系(北京 100084)
关键词: 极量强度运动;组织氧;近红外光谱;蒙特卡洛方法;MATLAB引擎 
分类号:
出版年·卷·期(页码):2012·31·1(59-64)
摘要:

目的 在介绍近红外光谱法(near-infrared spectroscopy,NIRS)检测组织氧相对量原理的基础上,建立极量强度运动中用以仿真光子迁移的人体股四头肌三层光学模型(皮肤、脂肪和肌肉)。方法 利用MATLAB强大的数据分析和图形显示功能,在C#中结合MATLAB引擎技术,开发Monte Carlo仿真应用程序。结果 利用该应用程序,研究了极量强度运动领域近红外组织氧检测法中光源探测器最优间距的确定问题,给出光源探测器最优间距选取的经验公式。结论 该仿真研究在极量强度运动领域具有一定应用价值。

Objective   Based on the introduction of the theory of relative tissue oxygenation  measurement using near-infrared spectroscopy(NIRS),we built a three-layered optical model composed of skin,fat and muscle,which was applicative to simulate the photon migration in extreme intensity sports. Methods Taking the advantage of MATLAB powerful functionality in data analysis and graphical display,we developed an application of Monte Carlo simulation using C# programming language and MATLAB engine technology. Results We investigated the optimal light source-detector separation of NIRS relative tissue oxygenation measurement in extreme intensity sports and provided an empirical formula with the developed application. Conclusions This simulation research was of certain application value in extreme intensity sports.

参考文献:

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