The skin is a complex biological tissue whose impedance varies with frequency. The properties and structure of skin changes with the location on the body, age, geographical location and other factors. Considering these factors, skin impedance analysis is a sophisticated data analysis. However, despite all these variations, various researchers have always worked to develop an equivalent electrical model of the skin. The two most important categories of electrical models are RC-based model and CPE-based model which focus on the physiological stratification and biological properties of skin, respectively. In this work, experimental skin impedance data is acquired from ten sites on the body to find the fitting model. It is observed that a hybrid of fractional-order CPE-based model and higher-order RC layered-based model can provide the best fitting electrical model of skin. A new model is developed with this hybrid orders. Genetic algorithm is used for the extraction of parameter components. Least error of fitting has been observed for the proposed model as compared with the other models. This model can be used in correlating many skin problems and in the development of diagnostic tools. It will offer an additional supportive tool in-vitro to the medical specialist.

中文翻译：

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利用实验数据估计皮肤阻抗模型以及提出的人体皮肤阻抗模型


皮肤是一种复杂的生物组织，其阻抗随频率而变化。皮肤的性质和结构随着身体的位置、年龄、地理位置等因素而变化。考虑到这些因素，皮肤阻抗分析是一项复杂的数据分析。然而，尽管存在这些差异，各种研究人员始终致力于开发等效的皮肤电模型。电模型中最重要的两类是基于 RC 的模型和基于 CPE 的模型，它们分别关注皮肤的生理分层和生物特性。在这项工作中，从身体的十个部位获取实验皮肤阻抗数据，以找到拟合模型。据观察，基于分数阶 CPE 的模型和基于高阶 RC 分层的模型的混合可以提供最佳拟合的皮肤电学模型。利用这种混合订单开发了一种新模型。遗传算法用于提取参数分量。与其他模型相比，所提出的模型的拟合误差最小。该模型可用于关联许多皮肤问题和开发诊断工具。它将为医学专家提供额外的体外支持工具。