基于表面肌电的腿部外骨骼力量增强剂的设计与开发

Mikecon Cenit, Vaibhav Gandhi
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引用次数: 0

摘要

本文综述了不同的外骨骼设计,并提出了一种表面肌电(EMG)控制的外骨骼的工作原型,以增强小腿的力量。设计外骨骼的计算机辅助设计(CAD)模型,根据人体测量的黄金比例进行3D打印,并进行结构测试。外骨骼控制系统是在LabVIEW国家仪器平台上设计的,并嵌入myRIO中。表面肌电传感器(sEMG)和柔性传感器被一致地用于为EMG、人体姿势和机械外骨骼致动的控制创建不同的状态滤波器。myRIO用于处理表面肌电信号并将控制信号发送到外骨骼。因此,完整的外骨骼系统由表面肌电作为主传感器和柔性传感器作为辅助传感器组成,而整个控制系统是在LabVIEW中设计的。有限元模拟和测试表明,外骨骼适用于62公斤的平均人体重量加上不同弹簧反作用力的多余力。然而,由于外骨骼致动器的机械特性,它将需要额外的升力来提供增加生物力学运动(如蹲起)所需的快速反冲力。最后,随着这种辅助设备在市场上的可用性越来越高,伦理、社会和法律问题的重要方面也在本文中出现和讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and development of the sEMG-based exoskeleton strength enhancer for the legs
This paper reviews the different exoskeleton designs and presents a working prototype of a surface electromyography (EMG) controlled exoskeleton to enhance the strength of the lower leg. The Computer Aided Design (CAD) model of the exoskeleton is designed, 3D printed with respect to the golden ratio of human anthropometry, and tested structurally. The exoskeleton control system is designed on the LabVIEW National Instrument platform and embedded in myRIO. Surface EMG sensors (sEMG) and flex sensors are used coherently to create different state filters for the EMG, human body posture and control for the mechanical exoskeleton actuation. The myRIO is used to process sEMG signals and send control signals to the exoskeleton. Thus, the complete exoskeleton system consists of sEMG as primary sensor and flex sensor as a secondary sensor while the whole control system is designed in LabVIEW. FEA simulation and tests show that the exoskeleton is suitable for an average human weight of 62 kg plus excess force with different reactive spring forces. However, due to the mechanical properties of the exoskeleton actuator, it will require an additional lift to provide the rapid reactive impulse force needed to increase biomechanical movement such as squatting up. Finally, with the increasing availability of such assistive devices on the market, the important aspect of ethical, social and legal issues have also emerged and discussed in this paper.
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CiteScore
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