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

Anglický název

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

Jazyk

en

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.

Anglický 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.

Plný text v Digitální knihovně

Dokumenty

BibTex


@inproceedings{BUT165843,
  author="Norbert {Herencsár}",
  title="An Empirical Study of Fatigue-Induced Electrical Impedance Models of Biceps Tissues",
  annote="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.",
  address="IEEE",
  booktitle="Proceedings of the 2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)",
  chapter="165843",
  doi="10.1109/ICUMT51630.2020.9222426",
  howpublished="online",
  institution="IEEE",
  year="2020",
  month="october",
  pages="58--61",
  publisher="IEEE",
  type="conference paper"
}