Department of Applied Physics Physico-Informatics, Faculty of Science Technology, Keio University, Yokohama, Japan.
Med Biol Eng Comput. 2013 Feb;51(1-2):165-73. doi: 10.1007/s11517-012-0981-x. Epub 2012 Nov 3.
The purpose of this study was to clarify the performance of transducers for the mechanical characterization of muscle and subcutaneous tissue with the aid of a system identification technique. The common peroneal nerve was stimulated, and a mechanomyogram (MMG) of the anterior tibialis muscle was detected with a laser displacement meter or an acceleration sensor. The transfer function between stimulation and the MMG was identified by the singular value decomposition method. The MMG detected with a laser displacement meter, DMMG, was approximated with a second-order model, but that detected with an acceleration sensor, AMMG, was approximated with a sixth-order model. The natural frequency of the DMMG coincided with that in the literature and was close to the lowest natural frequency of the AMMG. The highest natural frequency of the AMMG was within the range of the resonance frequencies of human soft tissue. The laser displacement meter is suitable for the precise identification of the MMG, which has a natural frequency of around 3 Hz. The acceleration transducer is suitable for the identification of the MMG with natural frequencies of tens of hertz.
本研究旨在借助系统辨识技术阐明用于肌肉和皮下组织力学特性分析的换能器的性能。以激光位移计或加速度传感器检测腓总神经刺激时胫骨前肌的肌电图（MMG）。采用奇异值分解法对刺激与 MMG 之间的传递函数进行识别。激光位移计检测的 MMG，即 DMMG，可近似为二阶模型，而加速度传感器检测的 MMG，即 AMMG，可近似为六阶模型。DMMG 的固有频率与文献中的值一致，且接近于 AMMG 的最低固有频率。AMMG 的最高固有频率处于人体软组织的共振频率范围内。激光位移计适用于固有频率约为 3 Hz 的 MMG 的精确识别。加速度传感器适用于固有频率为数十赫兹的 MMG 的识别。
