EEG-Based Brain-controlled Lower Extremity Exoskeleton Rehabilitation Robot

被引：0
|
作者：
Yu, Gaojie [1 ]
Wang, Jianhua [1 ]
Chen, Weihai [1 ]
Zhang, Jianbin [2 ]
机构：
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
[2] Beihang Univ, Sch Mech Engn & Automat, Beijing 100191, Peoples R China
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS (CIS) AND IEEE CONFERENCE ON ROBOTICS, AUTOMATION AND MECHATRONICS (RAM) | 2017年
基金：
中国国家自然科学基金; 国家重点研发计划;
关键词：
Brain-computer Interface (BCI); Electroencephalography (EEG); Motor Imagery (MI); Exoskeleton Rehabilitation Robot; MOTOR IMAGERY;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Brain-computer interfaces (BCIs), based on electroencephalography (EEG), have been proved to play an important role in motor rehabilitation, motor replacement, prosthesis control, and assistive technologies. BCIs can classify EEG signals and translate the brain activities into useful commands for external devices. This paper presents a brain-controlled lower extremity exoskeleton rehabilitation robot with a motor-imagery (MI)-based BCI to enhance active rehabilitation participation. Four healthy individuals performed MI tasks of left and right hand movements to control the speed of gait training. The proposed paradigm could be further implemented by adding motor tasks and promoting MI classification accuracy.
引用
收藏
页码：763 / 767
页数：5
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