Using 3D Printing Technology to Develop Electromyography Signals Based Prosthetic Arm

Fahad Ahmed Korai, Noor-ul-Ain Mushtaq, Syed Amjad Ali Shah, Abdul Qadir Ansari
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Abstract

Electromyography (EMG) which is one of the most common biomedical signals recorded from the human body muscle. It is used to detect the movements in the muscles using an algorithm known as human-machine interfacing (HMI), EMG is widely used in prosthetic arms by amputee individuals. However, both the prosthetic arm and the EMG signal recorders available in the market are costly. As in developing countries, more than 22% of people are below the poverty line and starting price of the commercial prosthetic arm is 500,000/-PKR which is very expensive for the people living in Pakistan who need an affordable prosthetic arm, in this project, the prosthetic arm design was designed and modified on -Computer- aided design (CAD) software and 3D printed using PLA (Polylactic Acid). The prosthetic arm was interfaced with EMG sensor by Arduino microcontroller. It was tested on an individual who was able to generate the movements through muscle contraction, which was detected by an EMG sensor. Therefore, the basic objective of developing a low-cost arm is achieved with the total expense of approx. Rs. 20,000/- (PKR) and the people who lost their limbs can use this 3D Printed prosthetic arm to improve their quality of life.
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利用3D打印技术开发基于肌电信号的义肢
肌电图(Electromyography, EMG)是人体肌肉最常见的生物医学信号之一。肌电图通过人机界面(HMI)算法来检测肌肉的运动,被截肢者广泛应用于假肢。然而,市场上的假肢和肌电信号记录仪都很昂贵。与发展中国家一样,超过22%的人生活在贫困线以下,商业义肢的起价为500,000/- pkr,对于生活在巴基斯坦需要负担得起的义肢的人来说,这是非常昂贵的。在这个项目中,义肢设计是在计算机辅助设计(CAD)软件上进行设计和修改,并使用PLA(聚乳酸)进行3D打印。义肢通过Arduino微控制器与肌电传感器连接。在一个能够通过肌肉收缩产生运动的人身上进行了测试,这是由肌电图传感器检测到的。因此,开发低成本手臂的基本目标是实现的,总费用约为。2万卢比/- (PKR),失去四肢的人可以使用这种3D打印的假肢来提高他们的生活质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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