基于脑电图的人工手臂控制的综合研究

Ihab A. Satam
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引用次数: 1

摘要

前言/目的:脑电图(EEG)信号对假肢臂控制技术的发展有很大的影响。脑电信号是研究人体运动功能的主要工具。利用大脑信号控制假肢的研究仍处于早期阶段。在过去的几年里,脑波控制的假肢引起了研究人员的注意。方法:进行了几项研究,系统地回顾了已发表的文章,为研究人员和专家提供了目前最先进的基于脑电图的假肢臂控制技术和其他技术的全面总结。结果:175篇文章被研究、比较和筛选,只包括与研究有很强联系的文章。结论:本研究有三个目的。第一个是收集、总结和评估2011年至2022年间发表的研究信息。第二个目标是广泛报道与当前研究相关的该领域的整体实验结果。它系统地进行,为所有专家和科学家提供丰富的图像和基于脑电图的假肢手臂控制研究现状的基础证据。第三个目标是认识到需要进一步调查的知识差距,并为该领域的未来研究推荐方向。
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A comprehensive study of EEG-based control of artificial arms
Introduction/purpose: The electroencephalography (EEG) signal has a great impact on the development of prosthetic arm control technology. EEG signals are used as the main tool in functional investigations of human motion. The study of controlling prosthetic arms using brain signals is still in its early stages. Brain wave-controlled prosthetic arms have attracted researchers' attention in the last few years. Methods: Several studies have been carried out to systematically review published articles as a means of offering researchers and experts a comprehensive summary of the present, state-of-the-art EEG-based control techniques used in the prosthetic arm and other technologies. Results: 175 articles were studied, compared, and filtered to only include the articles that have strong connections to the study. Conclusion: This study has three goals. The first one is to gather, summarize, and evaluate information from the studies published between 2011 and 2022. The second goal is to extensively report on the holistic, experimental outcomes of this domain in relation to current research. It is systematically performed to provide a wealthy image and grounded evidence of the current state of research covering EEG-based control of prosthetic arms to all experts and scientists. The third goal is to recognize the gap in knowledge that demands further investigation and to recommend directions for future research in this area.
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发文量
24
审稿时长
12 weeks
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