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

Sensors (Basel). 2021 Dec 24;22(1):97. doi: 10.3390/s22010097.

Abstract

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.

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

MeSH terms

  • Electric Impedance
  • Electrodes
  • Humans
  • Muscle, Skeletal*
  • Myography*
  • Reproducibility of Results