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从机器人技术角度看脑机接口的发展

Developments in brain-machine interfaces from the perspective of robotics.

作者信息

Kim Hyun K, Park Shinsuk, Srinivasan Mandayam A

机构信息

Mechatronics and Manufacturing Technology Center, Samsung Electronics Co., Ltd., Suwon, Republic of Korea.

出版信息

Hum Mov Sci. 2009 Apr;28(2):191-203. doi: 10.1016/j.humov.2008.12.001. Epub 2009 Feb 23.

Abstract

Many patients suffer from the loss of motor skills, resulting from traumatic brain and spinal cord injuries, stroke, and many other disabling conditions. Thanks to technological advances in measuring and decoding the electrical activity of cortical neurons, brain-machine interfaces (BMI) have become a promising technology that can aid paralyzed individuals. In recent studies on BMI, robotic manipulators have demonstrated their potential as neuroprostheses. Restoring motor skills through robot manipulators controlled by brain signals may improve the quality of life of people with disability. This article reviews current robotic technologies that are relevant to BMI and suggests strategies that could improve the effectiveness of a brain-operated neuroprosthesis through robotics.

摘要

许多患者因创伤性脑损伤、脊髓损伤、中风以及许多其他致残性疾病而丧失运动技能。得益于测量和解码皮层神经元电活动的技术进步,脑机接口(BMI)已成为一种有前景的技术,可帮助瘫痪患者。在最近关于脑机接口的研究中,机器人操纵器已展现出其作为神经假体的潜力。通过由脑信号控制的机器人操纵器恢复运动技能,可能会改善残疾人士的生活质量。本文综述了与脑机接口相关的当前机器人技术,并提出了通过机器人技术提高脑控神经假体有效性的策略。

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