Investigation of Electrical Muscle Stimulation in Human Muscle Compartments using Electrical Impedance Tomography
Bo Sun1, Kaname Ikeda1, Panji Nursetia Darma1, Tomoyuki Shirai2, Kosei Narita2, and Masahiro Takei1
1Department of Mechanical Engineering, Graduate School of Science and Engineering, Chiba University, Chiba-shi, Japan
2MTG CO.LTD, Nagoya-shi, Japan
The paper describes the relationship between fat thickness and current density by coupling of electromagnetic simulation and electrical impedance tomography (ES-EIT) under electrical muscle stimulation (EMS) in three responsive calf muscle compartments. The relationship is useful for decision of the optimum voltage intensity of EMS because the fat layer becomes an obstacle against stimulation current from the skin to the subcutaneous tissue. ES-EIT calculated the current density images from the conductivity distribution images reconstructed by EIT. The Pearson correlation coefficient (PCC) r between spatial-mean current density and the normalized conductivity difference ratio three responsive muscle compartments show high correlation under EMS. The fat thickness and current density are negatively correlated in muscle compartments of each subject. The highest sensitivity of current density images to fat thickness is gastrocnemius muscle, namely, M1 compartment. The optimum voltage intensity of M1 muscle compartment is defined as the highest point of second-order difference fitting curve of spatial-mean current density and spatial-mean conductivity under EMS, which are increased with the increase of fat thickness.
Keywords: Current density imaging, Electrical impedance tomography, Electromagnetic simulation, Fat thickness, Electrical muscle stimulation.
Industrial Application: Healthcare
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