Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/3995
DC Field | Value | Language |
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dc.contributor.author | Maja Simić | en_US |
dc.contributor.author | Zorana Babić | en_US |
dc.contributor.author | Risojević V. | en_US |
dc.contributor.author | Goran Stojanović | en_US |
dc.date.accessioned | 2019-09-23T10:31:23Z | - |
dc.date.available | 2019-09-23T10:31:23Z | - |
dc.date.issued | 2016-01-01 | - |
dc.identifier.issn | 1844-7600 | en_US |
dc.identifier.uri | https://open.uns.ac.rs/handle/123456789/3995 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | AECE | en_US |
dc.relation | H2020 MEDLEM | en_US |
dc.relation.ispartof | Advances in Electrical and Computer Engineering | en_US |
dc.subject | bioimpedance | en_US |
dc.subject | biological system modeling | en_US |
dc.subject | estimation | en_US |
dc.subject | filters | en_US |
dc.subject | signal processing | en_US |
dc.title | Novel non-iterative method for real-time parameter estimation of the fricke-morse model | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.4316/AECE.2016.04009 | - |
dc.identifier.scopus | 2-s2.0-85007622286 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85007622286 | - |
dc.description.version | Published | en_US |
dc.relation.lastpage | 62 | en_US |
dc.relation.firstpage | 57 | en_US |
dc.relation.issue | 4 | en_US |
dc.relation.volume | 16 | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
crisitem.author.dept | Akademija umetnosti, Likovni departman | - |
crisitem.author.dept | Fakultet tehničkih nauka, Departman za energetiku, elektroniku i telekomunikacije | - |
crisitem.author.dept | Fakultet tehničkih nauka, Departman za energetiku, elektroniku i telekomunikacije | - |
crisitem.author.orcid | 0000-0003-2098-189X | - |
crisitem.author.parentorg | Akademija umetnosti | - |
crisitem.author.parentorg | Fakultet tehničkih nauka | - |
crisitem.author.parentorg | Fakultet tehničkih nauka | - |
Appears in Collections: | FTN Publikacije/Publications |
Files in This Item:
File | Size | Format | |
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10.1007@978-981-10-4166-275.pdf | 227.01 kB | Adobe PDF | View/Open |
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