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Fractional Calculus Model of Electrical Impedance Applied to Human Skin

机译:电阻抗在人体皮肤上的分数微积分模型

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摘要

Fractional calculus is a mathematical approach dealing with derivatives and integrals of arbitrary and complex orders. Therefore, it adds a new dimension to understand and describe basic nature and behavior of complex systems in an improved way. Here we use the fractional calculus for modeling electrical properties of biological systems. We derived a new class of generalized models for electrical impedance and applied them to human skin by experimental data fitting. The primary model introduces new generalizations of: 1) Weyl fractional derivative operator, 2) Cole equation, and 3) Constant Phase Element (CPE). These generalizations were described by the novel equation which presented parameter related to remnant memory and corrected four essential parameters We further generalized single generalized element by introducing specific partial sum of Maclaurin series determined by parameters We defined individual primary model elements and their serial combination models by the appropriate equations and electrical schemes. Cole equation is a special case of our generalized class of models for Previous bioimpedance data analyses of living systems using basic Cole and serial Cole models show significant imprecisions. Our new class of models considerably improves the quality of fitting, evaluated by mean square errors, for bioimpedance data obtained from human skin. Our models with new parameters presented in specific partial sum of Maclaurin series also extend representation, understanding and description of complex systems electrical properties in terms of remnant memory effects.
机译:分数演算是一种数学方法,用于处理任意阶和复杂阶的导数和积分。因此,它增加了一个新的维度,以一种改进的方式来理解和描述复杂系统的基本性质和行为。在这里,我们使用分数演算对生物系统的电特性进行建模。我们推导出了一类新的电阻抗通用模型,并通过实验数据拟合将其应用于人体皮肤。主要模型引入了以下新的概括:1)Weyl分数阶导数算子,2)Cole方程和3)恒定相元素(CPE)。这些概括由一个新方程式描述,该方程式提供了与剩余记忆有关的参数并纠正了四个基本参数。我们通过引入由参数确定的Maclaurin系列的特定部分和,进一步广义化了单个广义元素。适当的方程式和电气方案。 Cole方程是我们使用常规Cole和串行Cole模型对生命系统进行的先前生物阻抗数据分析的通用模型的特例,这表明存在很大的不确定性。我们的新型模型极大地提高了通过均方误差评估的人体皮肤生物阻抗数据的拟合质量。我们的模型具有Maclaurin系列特定部分总和中提供的新参数,还通过剩余记忆效应扩展了对复杂系统电特性的表示,理解和描述。

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