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A Novel Non-Iterative Method for Real-Time Parameter Estimation of the Fricke-Morse ModelSIMIC, M.   , BABIC, Z. , RISOJEVIC, V. , STOJANOVIC G. M., |
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Author keywords
bioimpedance, biological system modeling, estimation, filters, signal processing
References keywords
measurement(10), bioimpedance(9), physiological(7), impedance(5), time(4), measurements(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2016-11-30
Volume 16, Issue 4, Year 2016, On page(s): 57 - 62
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.04009
Web of Science Accession Number: 000390675900009
SCOPUS ID: 85007622286
Abstract
Parameter estimation of Fricke-Morse model of biological tissue is widely used in bioimpedance data processing and analysis. Complex nonlinear least squares (CNLS) data fitting is often used for parameter estimation of the model, but limitations such as high processing time, converging into local minimums, need for good initial guess of model parameters and non-convergence have been reported. Thus, there is strong motivation to develop methods which can solve these flaws. In this paper a novel real-time method for parameter estimation of Fricke-Morse model of biological cells is presented. The proposed method uses the value of characteristic frequency estimated from the measured imaginary part of bioimpedance, whereupon the Fricke-Morse model parameters are calculated using the provided analytical expressions. The proposed method is compared with CNLS in frequency ranges of 1 kHz to 10 MHz (beta-dispersion) and 10 kHz to 100 kHz, which is more suitable for low-cost microcontroller-based bioimpedance measurement systems. The obtained results are promising, and in both frequency ranges, CNLS and the proposed method have accuracies suitable for most electrical bioimpedance (EBI) applications. However, the proposed algorithm has significantly lower computation complexity, so it was 20-80 times faster than CNLS. |
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[1] Non-iterative parameter estimation of the 2R-1C model suitable for low-cost embedded hardware, Simić, Mitar, Babić, Zdenka, Risojević, Vladimir, Stojanović, Goran M., Frontiers of Information Technology & Electronic Engineering, ISSN 2095-9184, Issue 3, Volume 21, 2020.
Digital Object Identifier: 10.1631/FITEE.1900112 [CrossRef]
[2] Impedance Spectroscopic Analysis of the Interidigitated Flexible Sensor for Bacteria Detection, Simic, Mitar, Kojic, Tijana, Radovanovic, Milan, Stojanovic, Goran M., Al-Salami, Hani, IEEE Sensors Journal, ISSN 1530-437X, Issue 21, Volume 20, 2020.
Digital Object Identifier: 10.1109/JSEN.2020.3002839 [CrossRef]
[3] Detecting Freshness of Fruit and Vegetable Without and With Edible Protein-Based Foil, Kojic, Tijana, Simic, Mitar, Pojic, Milica, Stojanovic, Goran M., IEEE Sensors Journal, ISSN 1530-437X, Issue 16, Volume 22, 2022.
Digital Object Identifier: 10.1109/JSEN.2022.3188388 [CrossRef]
[4] A Low-Complexity Method for Parameter Estimation of the Simplified Randles Circuit With Experimental Verification, Simic, Mitar, Stavrakis, Adrian K., Stojanovic, Goran M., IEEE Sensors Journal, ISSN 1530-437X, Issue 21, Volume 21, 2021.
Digital Object Identifier: 10.1109/JSEN.2021.3110296 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
