基于MATLAB的多频生物电阻抗的ColeY分析系统设计

目的多频生物电阻抗ColeY分析方法是研究生物组织的物理特性及其变化的一种重要方法,其研究结果对于临床应用具有重要意义,而实验中大量的实验数据需要优化的算法及标准直观的数据分析界面,以提高研究效率、保证实验精度,为此本文设计出一个直观、高效的多频电阻抗数据分析系统。方法首先基于MATLAB提供的非线性最小二乘参数估计函数Isqnonlin,设计出实部拟合和复数拟合两种算法;然后将这两种算法嵌入到GUI的回调函数中,初步完成多频生物电阻抗ColeY分析系统的设计;最后,在研究吻合器压榨作用下的猪小肠的物理特性变化实验中,通过分析拟合得到Cole参数G0和ΔG,对系统的绘图和拟合控制模块进行准确度和有效性验证。结果利用初步设计出的分析系统,对实验数据进行拟合,确定了拟合效果较好的复数拟合算法为最终的分析系统中的算法。之后在最终设计好的系统中,首先快速得到多组Cole参数,在系统中直接画出并观察细胞外液电导G0及细胞内液电导ΔG(G∞-G0)随时间的变化曲线;然后将这些Cole参数直接导出到Excel文件中,并对导出的多组Cole参数,进行均值分析和配对样本t检验,最终得到了与Dodde等一致的研究结果,从而验证了系统各个模块的准确性。结论本设计算法简单、精确度高,界面良好、交互性强,可对实验数据进行快速分析、拟合,为研究者提供极大便利,也为临床基础实验研究提供新的研究手段。

Design of multifrequency bioimpedance Coley analysis system based on MATLAB

Objective Multifrequency bioimpedance ColeY analysis is an important method to study the physical characteristic changes of biological tissues,and the research results have great significance for clinical applications.However,large amounts of experimental data need a relative ideal algorithm and a standard and intuitive interface to improve the study efficiency and ensure the accuracy of the experimental results.Thus,an intuitive and efficient multifrequency bioimpedance data analysis system is designed in this paper.Methods Firstly,MATLAB provided the function Isqnonlin which could fit the given data to a non-linear model using Non-linear Least Squares.Two algorithms were designed with this function.Then these two algorithms were embedded into the callback functions of GUI and the multifrequency bioimpedance ColeY analysis system was preliminarily completed.Finally,the accuracy and validity of the drawing and fitting control module of the system were verified by analyzing the Cole parameters G0 and ΔG in the experiment of studying the physical characteristic changes of the pig small intestine under compression with stapler.Results By using the preliminarily designed system,the data fitting was firstly conducted and the complex fitting algorithm proved with better fitting effects was chosen to be the fitting algorithm of the ultimate analysis system.After that the following fitting was done in the ultimately completed system and multiple sets of Cole parameters were extracted from the fitting data quickly.As a result,the changes of extracellular conductance G0 and intracellular conductance ΔG (G∞-G0) could be plotted and observed directly in the designed system.Finally,the Cole parameters were exported to Excel file for further analysis with the methods of mean value analysis and pairedsamples t test,and the results obtained were consistent with the results of Dodde which verified the accuracy of each module of the system.Conclusions The designed algorithm of the system is simple and high accuracy,and the interface has good performance and strong interactivity.Data analysis and fitting can be conducted effectively and quickly,which can provide not only great convenience for researchers but also a new means for the basic clinical experiments.