前腕筋活動電位の表面伝導解析(機械力学,計測,自動制御)

抄録

Determining muscle forces of the finger during heavy work is important for an understanding and prevention of tenosynovitis. Electromyography is one index of muscle activity. Measurements by surface electromyography (sEMG) are noninvasive and simple to apply to obtain signals of muscle action potentials. The sEMG potentials of muscles near the electrode are superimposed. To identify the muscle activities from sEMG measurements, it is necessary first to analyze the characteristics of sEMG conduction in the forearm. This paper develops a conduction model of the forearm that incorporates the muscles and the radius and ulna bones. sEMG distributions were analyzed using the finite element method. The root mean square (RMS) values of sEMG values and the power exponent of attenuation in relation to the length between the electrode and the source of muscle action potential were estimated in this work. Further, the positions of the muscle action potential were reverse-estimated using the RMS values and the power exponent of attenuation. As a result, the peak potential position of the sEMG distributions was distorted at a circumferential angle around the longitudinal axis of the model up to a maximum of 48゜. The power exponent of attenuation was found to increase monotonically with increases in the inter-electrode distance (IED) of the surface electrode pair. The errors in the estimated positions of muscle action potential increased with decreases in the distance between the source of muscle action potential and the radius and ulna bones.