文献类型：期刊文献

英文题名：FEATURES ANALYSIS AND SYSTEM IDENTIFICATION OF MECHANOMYOGRAPHY AND ELECTROMYOGRAPHY UNDER TRANSCRANIAL MAGNETIC STIMULATION

作者：Zhang, Hanyang[1];Zhong, Yanbiao[2];Zhang, Yue[1];Yang, Ke[1];Xia, Chunming[1];Shan, Chunlei[2]

机构：[1]East China Univ Sci & Technol, Dept Mech Engn, Shanghai 200237, Peoples R China;[2]Shanghai Univ Tradit Chinese Med, Sch Rehabil Sci, 1200 Cailun Rd, Shanghai 201203, Peoples R China

年份：2021

卷号：21

期号：08

外文期刊名：JOURNAL OF MECHANICS IN MEDICINE AND BIOLOGY

收录：;EI(收录号：20214611154100);WOS:【SCI-EXPANDED(收录号:WOS:000720985900003)】；

基金：This study was supported by National Key Research and Development Program of China [Grant No. 2018YFC2001600/04] and Program of Shanghai Academic Research Leader [Grant No. 19XD1403600]. Hanyang Zhang and Yanbiao Zhong authors contributed equally to this paper.

语种：英文

外文关键词：Transcranial magnetic stimulation; mechanomyography; electromyography; system identification

摘要：Transcranial magnetic stimulation (TMS) is an electrophysiological technique that uses alternating magnetic fields to deliver electric current and stimulate the cerebral cortex. When TMS is used for the evaluation of brain diseases, it is necessary to detect the contraction of the corresponding muscles in the cerebral cortex stimulated by TMS, and the muscle activity referred to as motor evoked potential (MEP). This study simultaneously recorded the mechanomyography (MMG) and electromyography (EMG) from the right abductor pollicis brevis muscle during TMS with different intensities in order to observe whether the MEP parameters from MMG signals showed similar trait of EMG recordings. Moreover, the subspace method (N4SID) and transfer function were used to identify the TMS-MMG system. In this system, the input was a pulse signal of TMS, and the output was the MMG signal detected from the target muscle. The TMS-MMG system was identified as a fourth-order model. This study also analyzed the internal features of the system and demonstrated that the poles of healthy subjects were distributed in a range, and the gain increased with the increase of the TMS intensity. It was found that MMG signals can be used as diagnostic indicators of TMS, and the TMS-MMG model can be used to further explore the details of how TMS generates responses measured with MMG.