Analyzing temperature dependence of Electrical Impedance Myography parameters using finite element model

Electrical Impedance Myography (EIM) is a non-invasive electrophysiological approach for the assessment of neuromuscular diseases. Finite element model of the EIM experiment has been proposed recently which can predict the actual model results. EIM parameters depend on various factors such as fat thickness, muscle thickness, inter electrode distances etc. In this study, we attempt to analyze the changes in EIM parameters due to ambient temperature with different subcutaneous fat thickness. We observe that resistance and reactance increases with increase in fat thickness and decreases with temperature increment. For example, with 10mm fat thickness, due to temperature variation, percentage changes in resistance is 0.32% and percentage changes in reactance is 1.50%. Further simulation shows that percentage changes in resistance increase with the fat thickness and percentage changes in reactance decrease with fat thickness due to increase in temperature.