脑机接口控制手部假肢的构想

Q4 Engineering
Julia Żaba, Szczepan Paszkiel
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引用次数: 0

摘要

本研究的范围是指在受伤或截肢后患者实施智能假肢的可能性。脑机技术允许在大脑和外部设备之间获取和发送信号。然而,上肢假肢是一个相当复杂的工具,因为手本身有一个非常复杂的结构,由几个关节组成。最复杂的关节无疑是鞍关节,它位于拇指的位置。你需要展示足够的解剖学知识来构建一个易于使用的假体,并尽可能地像人的手。同样重要的是,用合适的软件创建合适的控制系统,使其能够轻松地与脑机接口协同工作。因此,本工作提出的解决方案很简单。它由三个部分组成,分别是Emotiv EPOC + Neuroheadsets,由伺服和Arduino UNO板组成的控制系统(带有专用软件),以及用三维图形程序Blender制作并使用3D打印打印机打印的假肢模型。这种由大脑信号控制的假肢可以帮助截肢后残疾的人和残肢部位神经受损的人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Concept of Using the Brain-Computer Interface to Control Hand Prosthesis
The scope of this study refers to the possibility of implementing intelligent artificial limbs for patients after injuries or amputations. Brain-computer technology allows signals to be acquired and sent between the brain and an external device. Upper limb prostheses, however, are quite a complicated tool, because the hand itself has a very complex structure and consists of several joints. The most complicated joint is undoubtedly the saddle joint, which is located at the site of the thumb. You need to demonstrate adequate anatomical knowledge to construct a prosthesis that will be easy to use and resemble a human hand as much as possible. It is also important to create the right control system with the right software that will easily work together with the brain-computer interface. Therefore, the proposed solution in this work is simple. It consists of three parts, which are: the Emotiv EPOC + Neuroheadsets, a control system made of a servo and an Arduino UNO board (with dedicated software), and a hand prosthesis model made in the three-dimensional graphic program Blender and printed using a 3D printing printer. Such a hand prosthesis controlled by a signal from the brain could help people with disabilities after amputations and people who have damaged innervation at the stump site.
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来源期刊
Journal of Automation, Mobile Robotics and Intelligent Systems
Journal of Automation, Mobile Robotics and Intelligent Systems Engineering-Control and Systems Engineering
CiteScore
1.10
自引率
0.00%
发文量
25
期刊介绍: Fundamentals of automation and robotics Applied automatics Mobile robots control Distributed systems Navigation Mechatronics systems in robotics Sensors and actuators Data transmission Biomechatronics Mobile computing
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