Detail publikace

An Empirical Study of Fatigue-Induced Electrical Impedance Models of Biceps Tissues

HERENCSÁR, N.

Originální název

An Empirical Study of Fatigue-Induced Electrical Impedance Models of Biceps Tissues

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

biceps tissue, bioimpedance, Cole model, constant phase element, CPE, electrical impedance myography, EIM, Foster I network, fractional calculus, modified Fricke model

Autoři

HERENCSÁR, N.

Vydáno

5. 10. 2020

Nakladatel

IEEE

Místo

Brno, Czech Republic

ISBN

978-1-7281-9281-9

Kniha

Proceedings of the 2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

Strany od

58

Strany do

61

Strany počet

4

URL

Plný text v Digitální knihovně

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"
}