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IEEE Sensors JournalVolume 23, Issue 12, 15 June 2023, Pages 12978-12987

Parameter Estimation of the Single-Dispersion Fractional Cole-Impedance Model With the Embedded Hardware(Article)

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  • aUniversity of Novi Sad, Faculty of Technical Sciences, Novi Sad, 21000, Serbia
  • bThe University of Alabama, Department of Electrical and Computer Engineering, Tuscaloosa, AL 35487, United States
  • cNorwegian University of Science and Technology, Department of Electronic Systems, Trondheim, 7491, Norway
  • dOslo University Hospital, The Intervention Centre,Technology and Inno- 525 Vation Clinic, Oslo, 0372, Norway
  • eKarolinska University Hospital, Department of Clinical Physiology and the Department of Medical Technology, Stockholm, 17176, Sweden
  • fUniversity of Borås, Swedish School of Textiles, Borås, 50190, Sweden

Abstract

Bioimpedance modeling with equivalent electrical circuits has an important role in various biomedical applications, as it facilitates understanding of underlying physical and electrochemical processes in applications such as body composition measurements and assessment of clinical conditions. However, the estimation of model parameter values is not a straightforward task, especially when complex circuits with fractional-order components [e.g., constant phase elements (CPEs)] are used. In this article, we propose a low-complexity method for parameter estimation of the Cole-impedance model suitable for low-cost embedded hardware (e.g., 8-bit microcontrollers). Our approach uses only the measured real and imaginary impedance, without any specific software package/toolbox, or initial values provided by the user. The proposed method was validated with synthetic (noiseless and noisy) data and experimental right-side, hand-to-foot bioimpedance data from a healthy adult participant. Moreover, the proposed method was compared in terms of accuracy with the recently published relevant work and commercial Electrical Impedance Spectroscopy software (Bioimp 2.3.4). The performance evaluation in terms of complexity (suitable for deployment for the microcontroller-based platform with 256 kB of RAM and 16 MHz clock speed), execution time (18 s for the dataset with 256 points), and cost (< 25) confirms the proposed method in regards to reliable bioimpedance processing using embedded hardware. © 2001-2012 IEEE.

Author keywords

BioimpedanceCole equationequivalent circuitsestimationfractional-order circuits

Indexed keywords

Engineering controlled terms:BiochemistryMedical applicationsMicrocontrollersParameter estimationTiming circuits
Engineering uncontrolled termsBio-impedanceBiomedical applicationsCole equationElectrochemical processEmbedded hardwareEquivalent electrical circuitsFractional-order circuitImpedance modelingParameters estimationPhysical process
Engineering main heading:Equivalent circuits
  • ISSN: 1530437X
  • Source Type: Journal
  • Original language: English
  • DOI: 10.1109/JSEN.2023.3269952
  • Document Type: Article
  • Publisher: Institute of Electrical and Electronics Engineers Inc.

  Simic, M.; University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia;
© Copyright 2023 Elsevier B.V., All rights reserved.

Cited by 3 documents

Simić, M. , Jeoti, V. , Stojanović, G.M.
Parameter extraction of the Cole-impedance model for in-situ monitoring of electrochemical sources
(2024) Journal of Energy Storage
Simic, M. , Freeborn, T.J. , Seoane, F.
A Polynomial Curve Fitting of Bioimpedance Data for Parameter Estimation of the Cole-Impedance Model
(2024) Proceedings of International Workshop on Impedance Spectroscopy, IWIS 2024
Simic, M. , Freeborn, T.J. , Stojanovic, G.M.
Smartphone-Based Parameter Estimation of the Cole-Impedance Model for Assessment of Agricultural Goods
(2024) IEEE Access
View details of all 3 citations
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