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A Modified Differentiator Circuit for Extracting Cole-Impedance Model Parameters Using Meta-heuristic Optimization Algorithms

机译:一种改进的差分电路,用于使用元启发式优化算法提取COLE防御模型参数

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摘要

A differentiator-based set up is proposed as an alternative solution to measure bio-impedance. The method is modifyingthe differentiator circuit, replacing the capacitor with the Cole-impedance model representing the biological (fruit) sample.The proposed differentiator gain response (with the embedded fruit) is experimentally recorded. The experimental data’spost-processing is performed using meta-heuristic optimization techniques to extract the Cole-impedance model unknownparameters by solving a group of nonlinear equations. Three meta-heuristic optimization algorithms are used: the mothflame,the flower pollination and the cuckoo search optimizations. The impedance generated with the extracted parameters iscompared with the impedance measured by the Biologic spectroscopy SP150 for the samples of four types of fruits (Apple,Kiwi, Eggplants and Tomato). Experimental results are in the frequency range of 100 Hz–100 kHz for apples, kiwis andtomatoes, while the frequency range for eggplant tissues is 100 Hz–90 kHz.
机译:提出了一种基于模光的设置作为测量生物阻抗的替代解决方案。该方法正在修改使用代表生物(水果)样品的COLE阻抗模型更换电容器。实验记录了所提出的区分因子增益响应(用嵌入水果)。实验数据使用元启发式优化技术进行后处理,以提取未知的COLE阻抗模型通过求解一组非线性方程的参数。使用了三种元启发式优化算法:Mothflame,花授粉和杜鹃搜索优化。用提取的参数产生的阻抗是与生物光谱法测量的阻抗相比,SP150为四种类型的水果样品(苹果,猕猴桃,茄子和番茄)。实验结果是苹果,猕猴桃和苹果的100Hz-100kHz的频率范围内西红柿,而茄子组织的频率范围是100Hz-90 kHz。

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