织物电极肌电图用于经桡骨截肢者假肢运动识别

Haoshi Zhang, Lan Tian, Liangqing Zhang, Guanglin Li
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引用次数: 16

摘要

在不干扰用户日常生活的情况下,持续监测重要生理信号的可穿戴系统是医疗保健领域迫切需要的。同样,每天需要长时间佩戴肌电义肢的截肢者,也希望有一个舒适可靠的义肢系统。在肌电假体的临床应用中,使用常用的凝胶电极全天记录肌电(EMG)是不方便的。织物电极具有通风、灵活、可折叠等特点,是临床生理信号监测的理想选择。本研究采用丝网印刷技术制作的纺织电极进行肌电记录,并对经桡骨截肢者和健全者在多功能假肢肌电控制中纺织电极肌电的实时表现进行比较。结果表明,织物电极在操作虚拟手的离线分类精度和实时运动完成率方面均可达到与传统金属电极相当的性能。织物电极在5 s时间内对3例经桡骨截肢者的脱机分类准确率达到73.4%,实时运动完成率达到81.9%。这些试验结果表明,纺织电极可能是可行的肌电假体控制肌电记录。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using textile electrode EMG for prosthetic movement identification in transradial amputees
Wearable systems based on continuously monitoring of vital physiological signals without interfering with user's daily life much are desired urgently in health care. Similarly, the limb amputees who need to wear their myoelectric prostheses for a long time daily expect a comfortable and reliable prosthetic system. It is inconvenient in clinical application of a myoelectric prosthesis to use the commonly used gel electrode for electromyography (EMG) recording over all day. Textile electrode with characteristics of ventilation, flexibility, and folding, may be an ideal selection of physiological signal monitoring in clinical applications. In this study, the textile electrodes made using screen printing technology were used for EMG recordings and the real-time performance of the textile-electrode EMG in myoelectric control of multifunctional prostheses was investigated in transradial amputees and able-bodied subjects for comparison purpose. The results over seven able-bodied subjects showed that the textile electrode could achieve similar performance as conventional metal electrodes for both the off-line classification accuracy and the real-time motion completion rate in operating a virtual hand. With the textile electrodes, the average off-line classification accuracy of 73.4% and the real-time motion completion rate of 81.9% within a 5 s time limit were achieved in three transradial amputees. These pilot results suggested that the textile electrodes might be feasible for EMG recordings in control of myoelectric prostheses.
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