Abstract
Bio-impedance circuit modeling is a popular and effective non-invasive technique used in medicine and biology to fit the measured spectral impedance data of living or non-living tissues. The variations in impedance magnitude and/or phase at different frequencies reflect implicit biophysical and biochemical changes. Bio-impedance is also used for sensing environmental changes and its use in the agriculture industry is rapidly increasing. In this paper, we review and compare among the fractional-order circuit models that best fit bio-impedance data and the different methods for identifying the parameters of these circuits. Four different vegetables species (Carrot, Tomato, Zucchini, Cucumber) in three different conditions (fresh, frozen, and heated) are used to demonstrate the differences among these models.
Highlights
The superiority of fractional-order modeling based on using fractional-order elements is well-stablished across many disciplines [1]
Of particular importance in this regards is the device known as the Constant Phase Element (CPE) with an impedance given by [6]: Z (s) = Ksα, (1)
The results showed that the electrical impedance regenerated the histological and functional changes enlisted the inhibition of myostatin pathway without consideration for any differences in muscle size or volume
Summary
The superiority of fractional-order modeling based on using fractional-order elements is well-stablished across many disciplines [1]. Of particular importance in this regards is the device known as the Constant Phase Element (CPE) with an impedance given by [6]: Z (s) = Ksα, (1). At α (0, −1, 1), the CPE represents the resistor, ideal capacitor, or ideal inductor, respectively and it represents a fractional-order capacitor when −1 < α < 0. The losses in this device are frequency dependent [6] and it has been used extensively in. We aim to recall the different fractionalorder bio-impedance circuit models that have been presented in the literature and compare among them. A comparison between some of these models is demonstrated using four different species of vegetable (Carrot, Tomato, Zucchini, and Cucumber)
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