Department of Applied Physics and Physico-Informatics, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama, Japan,
Med Biol Eng Comput. 2013 Dec;51(12):1349-55. doi: 10.1007/s11517-013-1107-9. Epub 2013 Aug 11.
The purpose of this study is to verify the applicability of a sixth-order model to the mechanomyogram (MMG) system of the parallel-fibered muscle, which was identified from the MMG of the pennation muscle. The median nerve was stimulated, and an MMG and torque of the abductor pollicis brevis muscle were measured. The MMGs were detected with either a capacitor microphone or an acceleration sensor. The transfer functions between stimulation and the MMG and between stimulation and torque were identified by the singular value decomposition method. The torque and the MMG, which were detected with a capacitor microphone, DMMG, were approximated with a second- and a third-order model, respectively. The natural frequency of the torque, reflecting longitudinal mechanical characteristics, did not show a significant difference from that of the DMMG. The MMG detected with an acceleration sensor was approximated with a fourth-order model. The natural frequencies of the AMMG reflecting the muscle and subcutaneous tissue in the transverse direction were obtained. Both DMMG and AMMG have to be measured to investigate the model of the MMG system for parallel-fibered muscle. The MMG system of parallel-fibered muscle was also modeled with a sixth-order model.
本研究旨在验证六阶模型在羽状肌肌音图（MMG）系统中的适用性，该系统是从羽状肌的 MMG 中识别出来的。刺激正中神经，测量拇短展肌的 MMG 和扭矩。使用电容式麦克风或加速度传感器检测 MMG。通过奇异值分解法确定刺激与 MMG 之间以及刺激与扭矩之间的传递函数。使用电容式麦克风检测到的扭矩和 MMG，即 DMMG，分别用二阶和三阶模型进行了近似。反映纵向力学特性的扭矩自然频率与 DMMG 没有显著差异。用加速度传感器检测到的 MMG 用四阶模型进行了近似。获得了反映横向肌肉和皮下组织的 AMMG 的固有频率。为了研究平行纤维肌 MMG 系统的模型，必须同时测量 DMMG 和 AMMG。还使用六阶模型对平行纤维肌的 MMG 系统进行了建模。
