摘要
利用有限元模拟分析的方法获取脉搏的三维形态。基于双目视觉脉搏图像传感器工作原理,利用三维软件PRO/E建立脉搏图像传感器模型,把建好的模型导入Abaqus软件,应用Abaqus/Standard对模型进行静态分析。结合中医切脉思想和双目视觉测量的实验过程,把整个模拟分析过程分为4步:第1步是模拟脉搏跳动,第2和第3步模拟切脉过程,第4步模拟中医得到脉搏特征信息。提取模型传感器气囊探头薄膜上不同位置的130个特征点,获取其中一个特征点的一个脉搏周期的脉搏波形,对提取的130个离散特征点利用"三角形"法连接成三维曲面。相比于利用双目视觉测量原理获取气囊探头薄膜上的空间少量离散特征点直接插值构成的三维曲面的方法,本文方法重构的三维图具有提取的空间离散特征点多,同等条件下节约了0.120 379 s的时间,更能够切合指感施压下切脉皮肤表面的时空域变化的优点,为进一步在时空域中提取多种表征脉搏形态的特征奠定了基础。
In this paper, finite element analysis was proposed for the three-dimensional （3D） reconstruction of pulse shape. Based on the principles of binocular vision pulse image sensor, 3D software PRO/E was applied to establish the model of pulse image sensor. The established model was transferred into Abaqus software. And the Abaqus/Standard was applied to carry on the static analysis for the model. Combined the pulse-feeling in traditional Chinese medicine with binocular vision measuring, the whole simulation analysis was divided into four steps. Firstly, the pulsing was simulated. Secondly and thirdly, the pulsetaking was simulated. Fourthly, pulse features were simulated to be obtained. From different locations on the gasbag probe thin film of the sensor model, 130 feature points was extracted. And the cycle pulse wave of one of feature points was obtained. The ＂triangle＂ method was applied to get 3D surfaces for the 130 discrete feature points. Compared with the 3D surfaces constructed by the direct interpolation of few space discrete feature points from gasbag probe thin film based on the principles of binocular vision measurement, the 3D surfaces reconstructed by the proposed method had more space discrete feature points. The proposed method saved 0.120 379 seconds under the same conditions and it was more suitable for the temporalspatial changes of the skin surface under pulse taking. The proposed method lays a foundation for the further research on the extraction of temporal-spatial pulse information and characteristics.
出处
《中国医学物理学杂志》
CSCD
2015年第4期458-463,共6页
Chinese Journal of Medical Physics
基金
国家自然科学基金(81360229)
教育部博士点基金(20116201110002)
