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一种利用电阻抗肌描记信号传感器评估肌肉收缩过程中组织形态功能变化的方法。

An Approach to Using Electrical Impedance Myography Signal Sensors to Assess Morphofunctional Changes in Tissue during Muscle Contraction.

机构信息

Department of Medical and Technical Information Technology, Bauman Moscow State Technical University, 105005 Moscow, Russia.

出版信息

Biosensors (Basel). 2024 Jan 31;14(2):76. doi: 10.3390/bios14020076.

Abstract

This present work is aimed at conducting fundamental and exploratory studies of the mechanisms of electrical impedance signal formation. This paper also considers morphofunctional changes in forearm tissues during the performance of basic hand actions. For this purpose, the existing research benches were modernized to conduct experiments of mapping forearm muscle activity by electrode systems on the basis of complexing the electrical impedance signals and electromyography signals and recording electrode systems' pressing force using force transducers. Studies were carried out with the involvement of healthy volunteers in the implementation of vertical movement of the electrode system and ultrasound transducer when the subject's upper limb was positioned in the bed of the stand while performing basic hand actions in order to identify the relationship between the morphofunctional activity of the upper limb muscles and the recorded parameters of the electro-impedance myography signal. On the basis of the results of the studies, including complex measurements of neuromuscular activity on healthy volunteers such as the signals of electro-impedance myography and pressing force, analyses of the morphofunctional changes in tissues during action performance on the basis of ultrasound and MRI studies and the factors influencing the recorded signals of electro-impedance myography are described. The results are of fundamental importance and will enable reproducible electro-impedance myography signals, which, in turn, allow improved anthropomorphic control.

摘要

本工作旨在对电阻抗信号形成的机制进行基础性和探索性研究。本文还考虑了在进行基本手部动作时前臂组织的形态功能变化。为此,对现有的研究平台进行了现代化改造,以便通过基于电阻抗信号和肌电图信号复合的电极系统,以及使用力传感器记录电极系统的按压力,来进行前臂肌肉活动的映射实验。研究是在健康志愿者参与的情况下进行的,当受试者的上肢在支架的床中定位时,执行电极系统和超声换能器的垂直运动,以识别上肢肌肉的形态功能活动与记录的电阻抗肌电图信号参数之间的关系。基于研究结果,包括对健康志愿者的神经肌肉活动进行复杂测量,例如电阻抗肌电图和按压力信号,基于超声和 MRI 研究分析动作执行过程中组织的形态功能变化,以及影响电阻抗肌电图记录信号的因素。这些结果具有重要的基础性意义,将能够产生可重现的电阻抗肌电图信号,从而提高拟人控制的效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0dfd/10886557/00c1147d0e78/biosensors-14-00076-g001.jpg

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