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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
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ROMANIA

Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  4/2016 - 9

 HIGHLY CITED PAPER 

A Novel Non-Iterative Method for Real-Time Parameter Estimation of the Fricke-Morse Model

SIMIC, M. See more information about SIMIC, M. on SCOPUS See more information about SIMIC, M. on IEEExplore See more information about SIMIC, M. on Web of Science, BABIC, Z. See more information about  BABIC, Z. on SCOPUS See more information about  BABIC, Z. on SCOPUS See more information about BABIC, Z. on Web of Science, RISOJEVIC, V. See more information about  RISOJEVIC, V. on SCOPUS See more information about  RISOJEVIC, V. on SCOPUS See more information about RISOJEVIC, V. on Web of Science, STOJANOVIC G. M.,  See more information about STOJANOVIC G. M.,  on SCOPUS See more information about STOJANOVIC G. M.,  on SCOPUS See more information about STOJANOVIC G. M.,  on Web of Science
 
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Download PDF pdficon (1,272 KB) | Citation | Downloads: 799 | Views: 2,476

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
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Full text preview
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.


References | Cited By  «-- Click to see who has cited this paper

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[CrossRef] [SCOPUS Times Cited 146]


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[CrossRef]


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[CrossRef] [Web of Science Times Cited 56] [SCOPUS Times Cited 59]


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[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 10]


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References Weight

Web of Science® Citations for all references: 623 TCR
SCOPUS® Citations for all references: 882 TCR

Web of Science® Average Citations per reference: 30 ACR
SCOPUS® Average Citations per reference: 42 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2022-09-28 22:03 in 120 seconds.




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