Structured Approach and Impedance Spectroscopy Microsystem for Fractional-Order Electrical Characterization of Vegetable Tissues

Cabrera-López, J. J.; Velasco-Medina, Jaime

doi:10.1109/tim.2019.2904131

Cited by 24 publications

(16 citation statements)

References 32 publications

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“…To highlight this, this work fits both the C-C model and a recurrent electrical impedance model for

bifurcations to reconstructed dental tissue impedance data. The recurrent model is shown in Figure 2 b [ 4 ]. Similar to the C-C model in Figure 2 a, this model consists of three resistors and two CPEs; therefore it is expected to be able to model the same dental tissue quantities, i.e., resistance and pseudo-capacitance of smear layer and dentin as well as the saline solution resistance.…”

Section: Methodsmentioning

confidence: 99%

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A Comparative Study of Two Fractional-Order Equivalent Electrical Circuits for Modeling the Electrical Impedance of Dental Tissues

Herencsár

Freeborn

Kartci

et al. 2020

Entropy

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Background:Electrical impedance spectroscopy (EIS) is a fast, non-invasive, and safe approach for electrical impedance measurement of biomedical tissues. Applied to dental research, EIS has been used to detect tooth cracks and caries with higher accuracy than visual or radiographic methods. Recent studies have reported age-related differences in human dental tissue impedance and utilized fractional-order equivalent circuit model parameters to represent these measurements. Objective: We aimed to highlight that fractional-order equivalent circuit models with different topologies (but same number of components) can equally well model the electrical impedance of dental tissues. Additionally, this work presents an equivalent circuit network that can be realized using Electronic Industries Alliance (EIA) standard compliant RC component values to emulate the electrical impedance characteristics of dental tissues. Results: To validate the results, the goodness of fits of electrical impedance models were evaluated visually and statistically in terms of relative error, mean absolute error (MAE), root mean squared error (RMSE), coefficient of determination (R2), Nash–Sutcliffe’s efficiency (NSE), Willmott’s index of agreement (WIA), or Legates’s coefficient of efficiency (LCE). The fit accuracy of proposed recurrent electrical impedance models for data representative of different age groups teeth dentin supports that both models can represent the same impedance data near perfectly. Significance: With the continued exploration of fractional-order equivalent circuit models to represent biological tissue data, it is important to investigate which models and model parameters are most closely associated with clinically relevant markers and physiological structures of the tissues/materials being measured and not just “fit” with experimental data. This exploration highlights that two different fractional-order models can fit experimental dental tissue data equally well, which should be considered during studies aimed at investigating different topologies to represent biological tissue impedance and their interpretation.

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“…To highlight this, this work fits both the C-C model and a recurrent electrical impedance model for

Section: Methodsmentioning

confidence: 99%

“…The Caputo definition is widely adopted because the initial conditions for this definition are described in the same form as integer-order differential equations [ 4 ]. For reference, Caputo’s derivative is described as:

where

and

is the Euler’s Gamma function [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of Two Fractional-Order Equivalent Electrical Circuits for Modeling the Electrical Impedance of Dental Tissues

Herencsár

Freeborn

Kartci

et al. 2020

Entropy

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“…According to the well-known concept of bioimpedance 12,13 , a tissue is considered as an electrolytic solution containing a certain number of cells. In a solution, the amount of solute is assessed by measuring impedance.…”

Section: Basic Ideasmentioning

confidence: 99%

A micro-bioimpedance meter for monitoring insulin bioavailability in personalized diabetes therapy

Arpaïa

Cesaro

Frosolone

et al. 2020

Sci Rep

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An on-chip transducer, for monitoring noninvasively the insulin bio-availability in real time after administration in clinical diabetology, is proposed. The bioavailability is assessed as insulin decrease in situ after administration by means of local impedance measurement. Inter-and-intra individual reproducibility is enhanced by a personalized model, specific for the subject, identified and validated during each insulin administration. Such a real-time noninvasive bioavailability measurement allows to increase the accuracy of insulin bolus administration, by attenuating drawbacks of glycemic swings significantly. In the first part of this paper, the concept, the architecture, and the operation of the transducer, as well as details about its prototype, are illustrated. Then, the metrological characterization and validation are reported in laboratory, in vitro on eggplants, ex vivo on pig abdominal non-perfused muscle, and in vivo on a human subject, using injection as a reference subcutaneous delivery of insulin. Results of significant intra-individual reproducibility in vitro and ex vivo point out noteworthy scenarios for assessing insulin bioavailability in clinical diabetology. For people living with diabetes (PWD), a full control of blood glucose level is a challenge of wide clinical, social, and economic importance 1. The Artificial Pancreas (AP) represents a promising response to this need 2. AP, known as closed-loop control of blood glucose in diabetes, combines a glucose sensor, a control system, and an insulin infusion device (Insulin Pump). Glucose control is aimed at measuring the patient's need to adjust insulin dosage, or even to shut down insulin delivery in case of hypoglycemia (e.g. caused by exercise, miscalculated insulin bolus). The loop is closed in case of basal insulin administration. In case of meals, even the most recent automated systems cannot react to the quick variations of glucose due to food ingestion. Both for commercially available and do-it-yourself artificial pancreas systems mealtime boluses need to be manually delivered by the user-this is why the systems are still called "hybrid-closed loop systems" 3,4. A generic bolus calculation algorithm needs personalized control inputs as: Total Daily Dose of insulin (TDD), carbintake, basal/bolus ratio, basal segments, carbohydrate-to-insulin ratio (CIR), target range, insulin sensitivity factor (ISF), and insulin duration of action. In particular, the levels of ISF and insulin duration are fixed during the initial calibration of the algorithm. However, they can be subject to relevant variations depending on the kinetics of the insulin absorption. Intra-and inter-individual variability in insulin absorption are well-known drawbacks for therapy in PWD. Several factors contribute to such a variability, including insulin type, bolus size, injection site, and the presence of skin alterations, such as lipo-hypertrophic nodules 5. A more accurate administration of insulin bolus can be guaranteed by a real-time monitoring of the amount of dru...

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“…The recurrent electrical impedance model for n = 2 bifurcations is shown in Fig. 1(b) [10]. This model again consists of three resistors and two CPEs, hence it ensures modeling of the resistance and pseudo-capacitance of smear layer and dentine as well as the saline solution resistance.…”

Section: A Proposed Empirical Fractional-order Electrical Model Of Tmentioning

confidence: 99%

“…The interest in applications of the fractional calculus (FC) in modeling complex biomedical phenomena has increased significantly in recent decades, because best fitting accuracy is achieved between experimental and optimization results when constant phase elements (CPEs) are used in models [9]. Nowadays, Caputo definition of fractional-order differential operator describing CPE behavior is the most used, because the derivative of a constant is zero and the initial conditions are described in the same form as in the integer-order differential equations [10]. Caputo's derivative is described…”

Section: Introductionmentioning

confidence: 99%

Accurate Empirical Fractional-Order Electrical Models of Young and Old Dentines

Herencsár

Kartci

Çiçekoğlu

2020

2020 42nd Annual International Conference of the IEEE Engineering in Medicine &Amp; Biology Society (EMBC)

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Electrical impedance spectroscopy (EIS) is a fast, non-invasive, and safe technique for bioimpedance measurement. In dental research, EIS has been used to detect tooth cracks and caries with higher accuracy than visual and radiographic methods. Recently, a study has been reported on effect of age on impedance measurements for two age groups by employing EIS. The aim of that study was to demonstrate the usefulness of fractional calculus in equivalent circuit modeling. In proposed double dispersion Cole impedance (C-C) models, both resistance and pseudo-capacitance values were found to be significantly different for both age groups. However, in our study, the first time it was found out that proposed models' total pseudo-capacitance values of both young and old dentines can be reduced by 34% and 7.5%, respectively, if recurrent electrical impedance model for n = 2 bifurcations to be used. Secondly, new empirical fractional-order electrical models of human tooth using the optimized Valsa network with EIA standard compliant RC values are reported that provide better understanding of the structure of dentine from resistance and capacitance point of view.

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Structured Approach and Impedance Spectroscopy Microsystem for Fractional-Order Electrical Characterization of Vegetable Tissues

Cited by 24 publications

References 32 publications

A Comparative Study of Two Fractional-Order Equivalent Electrical Circuits for Modeling the Electrical Impedance of Dental Tissues

A Comparative Study of Two Fractional-Order Equivalent Electrical Circuits for Modeling the Electrical Impedance of Dental Tissues

A micro-bioimpedance meter for monitoring insulin bioavailability in personalized diabetes therapy

Accurate Empirical Fractional-Order Electrical Models of Young and Old Dentines

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