Basic Study on Active-Feedback Control of Non-Linear Heat and Fluid Flow

通过类比电路开发了血流分析模型。根据其具有分形结构的解剖特征来评估外周冠状血管的流动阻力，并将其纳入模型中。还考虑了血管壁的非线性弹性。本模型给出的流量和血压波形符合临床数据。利用微压力传感器和超声流量传感器测量体内局部血流量和压力。该momonet的数据量有些不足，但验证了测量的可靠性。利用X射线血管造影图像数据对冠状动脉进行三维重建，并进行初步测试，以开发基于临床血管造影的血流分析模型。根据乳房交感神经切除术的临床病例知识（Tedoriya博士及其合作者的实验结果），以描述由心脏脉搏控制的心血管自主神经系统的状态波动和激素平衡，通过随机模型，我们研究了应用协方差结构分析和独立成分分析的可能性，其目的是从观察到的数据中找到重要因素。特别是，我们研究了通过这些分析获得的因素独立性测试的理论方面。

A blood flow analysis model has been developed by using an analogy to an electric circuit. Flow resistance of peripheral coronary blood vessel is evaluated based on its anatomical feature having a fractal structure, and incorpolated into the model. Non-linear elasticity of blood vessel wall is also taken into account. The wave forms of flow rate and blood pressure given by the present model are in accordance with the clinical data. Local blood flow and pressure was measured in-vivo by using micro pressure sensor and ultra sound flow sensor. The amount of dataset is somewhat insufficient at this momonet, but the reliability of the measurement is verified.Three-dimensional reconstruction of coronary artery by using X-Ray angiography image data is examined, and preliminary test is made in order to develop blood flow analysis model based on clinical angiography.According to the knowledge from clinical cases of breast sympathectomy(experimental results by Dr.Tedoriya and collaborators), in order to describe the state of cardiovascular autonomic nervous system, that is controlled by heart pulse fluctuation and hormone balance, with stochastic models, we investigate the possibility of applying the covariance structure analysis and the independent component analysis, whose aim is to find important factors from observed data. Particularly, we studied theoretical aspect of testing for independence of factors which are obtained by those analysis.