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Sensitivity distribution simulations of surface electrode configurations for electrical impedance myography
Author(s) -
Rutkove Seward B.,
Pacheck Adam,
Sanchez Benjamin
Publication year - 2017
Publication title -
muscle and nerve
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.025
H-Index - 145
eISSN - 1097-4598
pISSN - 0148-639X
DOI - 10.1002/mus.25561
Subject(s) - electrical impedance myography , electrode , sensitivity (control systems) , biomedical engineering , electrical impedance , materials science , finite element method , surface (topology) , electrode array , acoustics , chemistry , electronic engineering , mathematics , physics , medicine , electrical engineering , structural engineering , geometry , engineering , vasodilation , cardiology
Surface‐based electrical impedance myography (EIM) is sensitive to muscle condition in neuromuscular disorders. However, the specific contribution of muscle to the obtained EIM values is unknown. Methods We combined theory and the finite element method to calculate the electrical current distribution in a 3‐dimensional model using different electrode array designs and subcutaneous fat thicknesses (SFTs). Through a sensitivity analysis, we decoupled the contribution of muscle from other surrounding tissues in the measured surface impedance values. Results The contribution of muscle to surface EIM values varied greatly depending on the electrode array size and the SFT. For example, the contribution of muscle with 6‐mm SFT was 8% for a small array compared with 32% for a large array. Conclusions The approach presented can be employed to inform the design of robust EIM electrode configurations that maximize the contribution of muscle across the disease and injury spectrum. Muscle Nerve 56 : 887–895, 2017