Determination of the Geometric Parameters of Electrode Systems for Electrical Impedance Myography: A Preliminary Study.

MRI reconstruction Pareto optimality bionic control electrical impedance electrode system mathematical model neuromuscular interface orthoses physical modeling prosthesis

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
24 Dec 2021
Historique:
received: 10 11 2021
revised: 12 12 2021
accepted: 18 12 2021
entrez: 11 1 2022
pubmed: 12 1 2022
medline: 13 1 2022
Statut: epublish

Résumé

The electrical impedance myography method is widely used in solving bionic control problems and consists of assessing the change in the electrical impedance magnitude during muscle contraction in real time. However, the choice of electrode systems sizes is not always properly considered when using the electrical impedance myography method in the existing approaches, which is important in terms of electrical impedance signal expressiveness and reproducibility. The article is devoted to the determination of acceptable sizes for the electrode systems for electrical impedance myography using the Pareto optimality assessment method and the electrical impedance signals formation model of the forearm area, taking into account the change in the electrophysical and geometric parameters of the skin and fat layer and muscle groups when performing actions with a hand. Numerical finite element simulation using anthropometric models of the forearm obtained by volunteers' MRI 3D reconstructions was performed to determine a sufficient degree of the forearm anatomical features detailing in terms of the measured electrical impedance. For the mathematical description of electrical impedance relationships, a forearm two-layer model, represented by the skin-fat layer and muscles, was reasonably chosen, which adequately describes the change in electrical impedance when performing hand actions. Using this model, for the first time, an approach that can be used to determine the acceptable sizes of electrode systems for different parts of the body individually was proposed.

Identifiants

pubmed: 35009640
pii: s22010097
doi: 10.3390/s22010097
pmc: PMC8747741
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Russian Foundation for Basic Research
ID : 20-58-12006
Organisme : Deutsche Forschungsgemeinschaft
ID : LE 817/41-1

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Auteurs

Andrey Briko (A)

Department of Medical and Technical Information Technology, Bauman Moscow State Technical University, 105005 Moscow, Russia.

Vladislava Kapravchuk (V)

Department of Medical and Technical Information Technology, Bauman Moscow State Technical University, 105005 Moscow, Russia.

Alexander Kobelev (A)

Department of Medical and Technical Information Technology, Bauman Moscow State Technical University, 105005 Moscow, Russia.

Alexey Tikhomirov (A)

Department of Medical and Technical Information Technology, Bauman Moscow State Technical University, 105005 Moscow, Russia.

Ahmad Hammoud (A)

Department of Medical and Technical Information Technology, Bauman Moscow State Technical University, 105005 Moscow, Russia.

Mugeb Al-Harosh (M)

Department of Medical and Technical Information Technology, Bauman Moscow State Technical University, 105005 Moscow, Russia.

Steffen Leonhardt (S)

Chair of Medical Information Technology, RWTH Aachen University, 52074 Aachen, Germany.

Chuong Ngo (C)

Chair of Medical Information Technology, RWTH Aachen University, 52074 Aachen, Germany.

Yury Gulyaev (Y)

Kotelnikov Institute of Radioengineering and Electronics (IRE) of Russian Academy of Sciences, 125009 Moscow, Russia.

Sergey Shchukin (S)

Department of Medical and Technical Information Technology, Bauman Moscow State Technical University, 105005 Moscow, Russia.

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Classifications MeSH