An Empirical Study of Fatigue-Induced Electrical Impedance Models of Biceps Tissues

Abstract

Electrical impedance myography (EIM) is a noninvasive approach to muscle assessment based on the measurement of the electrical impedance in frequency range of interest. In this paper, fatigue-induced electrical impedance models of biceps tissues are investigated. After the dataset used is briefly described, complete set of parameters of the modified Fricke model, utilizing Foster I RC network-based fractional-order capacitor (FOC), are computed. The goodness of fitting of proposed FOCs and bioimpedance models were evaluated visually and statistically. The fit accuracy of designed electrical impedance models is R2R,X0.9978. Proposed models provide more intuitive representation of the electrical behavior of biceps tissues. EIA standard compliant E96 series lumped parameter-based practical models give an appropriate explanation of fatigue effect on biceps tissues from resistance and capacitance point of view.Electrical impedance myography (EIM) is a noninvasive approach to muscle assessment based on the measurement of the electrical impedance in frequency range of interest. In this paper, fatigue-induced electrical impedance models of biceps tissues are investigated. After the dataset used is briefly described, complete set of parameters of the modified Fricke model, utilizing Foster I RC network-based fractional-order capacitor (FOC), are computed. The goodness of fitting of proposed FOCs and bioimpedance models were evaluated visually and statistically. The fit accuracy of designed electrical impedance models is R2R,X0.9978. Proposed models provide more intuitive representation of the electrical behavior of biceps tissues. EIA standard compliant E96 series lumped parameter-based practical models give an appropriate explanation of fatigue effect on biceps tissues from resistance and capacitance point of view.