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HERENCSÁR, N.
Original Title
An Empirical Study of Fatigue-Induced Electrical Impedance Models of Biceps Tissues
Type
conference paper
Language
English
Original Abstract
Electrical impedance myography (EIM) is a noninvasive approach to muscle assessment based on the measurement of the electrical impedance in frequency range of interest. In this paper, fatigue-induced electrical impedance models of biceps tissues are investigated. After the dataset used is briefly described, complete set of parameters of the modified Fricke model, utilizing Foster I RC network-based fractional-order capacitor (FOC), are computed. The goodness of fitting of proposed FOCs and bioimpedance models were evaluated visually and statistically. The fit accuracy of designed electrical impedance models is R2R,X≥0.9978. Proposed models provide more intuitive representation of the electrical behavior of biceps tissues. EIA standard compliant E96 series lumped parameter-based practical models give an appropriate explanation of fatigue effect on biceps tissues from resistance and capacitance point of view.
Keywords
biceps tissue, bioimpedance, Cole model, constant phase element, CPE, electrical impedance myography, EIM, Foster I network, fractional calculus, modified Fricke model
Authors
Released
5. 10. 2020
Publisher
IEEE
Location
Brno, Czech Republic
ISBN
978-1-7281-9281-9
Book
Proceedings of the 2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
Pages from
58
Pages to
61
Pages count
4
URL
https://ieeexplore.ieee.org/document/9222426
Full text in the Digital Library
http://hdl.handle.net/11012/195632
BibTex
@inproceedings{BUT165843, author="Norbert {Herencsár}", title="An Empirical Study of Fatigue-Induced Electrical Impedance Models of Biceps Tissues", booktitle="Proceedings of the 2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)", year="2020", pages="58--61", publisher="IEEE", address="Brno, Czech Republic", doi="10.1109/ICUMT51630.2020.9222426", isbn="978-1-7281-9281-9", url="https://ieeexplore.ieee.org/document/9222426" }