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FEM-based Parametric Optimization of a Measurement Setup for Sensitivity Improvement in Insulin Absorption Assessment

2024 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, I2MTC 2024(2024)

Univ Naples Federico II | Univ Tuscia | Univ Salento

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Abstract
A finite element model of human abdominal tissue for improving the percentage relative sensitivity of a bioimpedance spectroscopy-based method for insulin absorption measurements was proposed. The model was realised by considering only four layers of the abdomen (dry and wet skin, fat, and muscle) electrically characterized with models already validated in the scientific literature. A parametric optimization was carried out to maximize the relative sensitivity of the proposed measurement method. In particular, a fractional fac-torial plan approach (Taguchi L18) was implemented to analyze different setups of the measurement apparatus in terms of signal frequency and dimensions and electrodes mutual distance. ANOM and ANOVA were conducted to assess the impact of each parameter on the measurement percentage relative sensitivity. The analysis revealed that the distance between the amperometric and voltammetric electrode as the most influencing factor on the percentage relative sensitivity. Considering the constraints related to the direction of the total current density field and the electrodes positioning, the value of the distance maximizing the sensitivity results the optimum one. A range of percentage relative sensitivity variation of 29.25 % was obtained in the experimental plan investigated. The highest percentage relative sensitivity of 29.78 % was obtained with the optimum measurement setup, in the case of 100 ml insulin injected. An improvement in percentage relative sensitivity by a factor of 30 was achieved with the optimum measurement setup with respect to the measurement setup proposed in literature.
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insulin absorption measurement,FEM,parametric optimization,Taguchi experimental plan
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要点】:本研究提出了一种基于有限元模型(FEM)的参数优化方法,用于提高基于生物阻抗光谱法的胰岛素吸收评估的相对灵敏度。

方法】:通过构建包含四层腹部组织的有限元模型,并应用Taguchi L18分数因子设计进行参数优化,以最大化测量方法的相对灵敏度。

实验】:使用有限元模型进行实验,并采用已验证的模型对干燥和湿润皮肤、脂肪和肌肉四层腹部组织进行电学特性分析。通过分析信号频率、电极尺寸及电极间距离等参数,利用ANOVA和ANOM方法评估各参数对测量相对灵敏度的影响。实验结果显示,在最优测量设置下,相对灵敏度提高了29.25%,最高相对灵敏度达到29.78%,相较于文献中的测量设置,相对灵敏度提高了30倍。