3D打印仿生手臂

Mahesh R Chavan, Kirtan P Shirodkar, Harshraj H Pardhi, Yash S Nikam, J. Kolap
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引用次数: 0

摘要

肌电图传感器电极用于检测来自肌肉纤维的信号并产生所需的输出。肌电信号处理的基本操作是信号放大和滤波。这种低成本的仿生手臂是3D打印的,有它自己的优势。采集到的信号通过滤波器和放大器的各个阶段进行放大和降噪。模拟信号被转换成数字信号。这些数字信号通过单片机控制伺服电机。从获得的肌电信号中提取特定特征。肌电电极连接到伺服电机,伺服电机安装在3D设计的手臂内。大多数聚乳酸塑料被用作3D打印长丝。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3D Printed Bionic Arm
EMG sensor electrodes are used to detect signals from the muscle fibers and generate the required output. The basic operation of EMG signal processing are signal amplification and filtering. This low costed bionic arm is 3D printed which has its own advantage. The acquired signal is passed through various stages of filters and amplifiers for amplification and noise reduction. The analog signal is converted into digital signals. These digital signals are used to control the servo motors by using microcontroller. Specific features are extracted from the obtained EMG signals. The EMG electrodes are connected to the servo motors which are fitted inside the 3D designed arm. Mostly PLA plastic is used as a 3D printed filament.
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