脑-机接口
轮椅
运动表象
接口(物质)
计算机科学
异步通信
人机交互
模拟
脑电图
人工智能
心理学
神经科学
万维网
并行计算
气泡
最大气泡压力法
计算机网络
作者
Yang Yu,Zongtan Zhou,Yadong Liu,Jun Jiang,Erwei Yin,Nannan Zhang,Zhihua Wang,Yaru Liu,Xingjie Wu,Dewen Hu
出处
期刊:IEEE Transactions on Neural Systems and Rehabilitation Engineering
[Institute of Electrical and Electronics Engineers]
日期:2017-12-01
卷期号:25 (12): 2516-2526
被引量:83
标识
DOI:10.1109/tnsre.2017.2766365
摘要
This paper presents a hybrid brain-computer interface (BCI) that combines motor imagery (MI) and P300 potential for the asynchronous operation of a brain-controlled wheelchair whose design is based on a Mecanum wheel. This paradigm is completely user-centric. By sequentially performing MI tasks or paying attention to P300 flashing, the user can use eleven functions to control the wheelchair: move forward/backward, move left/right, move left45/right45, accelerate/decelerate, turn left/right, and stop. The practicality and effectiveness of the proposed approach were validated in eight subjects, all of whom achieved good performance. The preliminary results indicated that the proposed hybrid BCI system with different mental strategies operating sequentially is feasible and has potential applications for practical self-paced control.
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