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IFMBE ProceedingsVolume 62, 2017, Pages 487-494International Conference on Medical and Biological Engineering, CMBEBIH 2017; Sarajevo; Bosnia and Herzegovina; 16 March 2017 through 18 March 2017; Code 189859

A novel approach for parameter estimation of Fricke-Morse model using differential impedance analysis(Conference Paper)

  • Simić, M.,
  • Babić, Z.,
  • Risojević, V.,
  • Stojanović, G.
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  • aUniversity of Banja Luka, Faculty of Elcctrical Engineering, Patre 5, Banja Luka, 78000, Bosnia and Herzegovina
  • bUniversity of Novi Sad, Faculty of Technical Sciences, Trg Dositcja Obradovica 6, Novi Sad, 21000, Serbia

Abstract

In this paper we presented a new approach for parameter estimation of Fricke-Morse model (2R-1C circuit) of biological cell. Proposed method is based on Differential Impedance Analysis and it was applied in parameter estimation of five electrical bioimpedances: Total Body Composition, Trunk-Trunk, Arm-Arm, Leg-Leg and Respiration Rate. The proposed method has been evaluated regarding the influence of the number of measurement frequencies on the overall numerical accuracy and processing time. Obtained results are compared with Complex Non Linear Least Squares data fitting and it was showed that presented approach is significantly faster (ratio of processing times depends on the number of measurement frequencies). Additional advantage of the proposed method is very low computation complexity (it is not iterative) so it can be easily implemented in portable and autonomous low-cost microcontroller-based systems for bioimpedance measurement and parameter estimation of the Fricke-Morse model in real-time. © Springer Nature Singapore Pte Ltd. 2017.

Author keywords

BioimpedanceEstimationSignal processing

Indexed keywords

Engineering controlled terms:Biochemical engineeringBiochemistryBioelectric phenomenaElectric impedanceEstimationIterative methodsNumerical methodsReal time systemsSignal processing
Engineering uncontrolled termsBio-impedanceBioimpedance measurementBiological cellsComputation complexityDifferential impedance analysisMeasurement frequencyNon-linear least squaresNumerical accuracy
Engineering main heading:Parameter estimation

Funding details

Funding sponsor Funding number Acronym
Horizon 2020 Framework Programme
See opportunities by H2020		690876H2020
  • ISSN: 16800737
  • ISBN: 978-981104165-5
  • Source Type: Conference Proceeding
  • Original language: English
  • DOI: 10.1007/978-981-10-4166-2_75
  • Document Type: Conference Paper
  • Volume Editors: Badnjevic A.
  • Sponsors: Erkona doo Sarajevo, Bosnia and Herzegovina,et al.,Oracle Bosnia and Herzegovina,Privredna banka dd Sarajevo, Bosnia and Herzegovina,Symphony Sarajevo, Bosnia and Herzegovina,Verlab doo Sarajevo, Bosnia and Herzegovina
  • Publisher: Springer Verlag


© Copyright 2017 Elsevier B.V., All rights reserved.

Cited by 3 documents

Zhang, F. , Wu, S. , Li, Y.
Parameter Identification of Randles Impedance Model Using Sweep-Phase Measurements and Noniterative Least Squares Estimation
(2024) IEEE Transactions on Instrumentation and Measurement
Simic, M. , Stavrakis, A.K. , Jeoti, V.
A Randles Circuit Parameter Estimation of Li-Ion Batteries With Embedded Hardware
(2022) IEEE Transactions on Instrumentation and Measurement
Simić, M. , Babić, Z. , Risojević, V.
Non-iterative parameter estimation of the 2R-1C model suitable for low-cost embedded hardware
(2020) Frontiers of Information Technology and Electronic Engineering
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