A novel pattern with high-level commands for encoding motor imagery-based brain computer interface

摘要

Motor Imagery (MI)-based Brain Computer Interface (BCI) has received increasing attention from academicians for its practicability and convenience. With the development of classification algorithms, many traditional patterns based on low-level commands, such as the movement of hands, feet, tongue, or shoulders, can be decoded quite well. However, when encoded by low-level commands, each body part can perform only one imaginary command. This not only limits the number of tasks that a user's body can encode, but also makes the system less user-centered. In this paper, we proposed a novel pattern based on high-level commands for encoding MI BCI. This pattern combines clockwise and anticlockwise movements of both hands. Compared with a typical traditional pattern based on low-level commands, this pattern shows insignificant differences with regard to distinctiveness and stability for some of the tested subjects (p 0.05). Thus, the proposed pattern can potentially allow additional tasks by human body without reducing their distinctiveness and stability. The results of this study also provide insights into the creation of high-level commands and improvements toward more intelligent and user-centered systems. (C) 2019 Published by Elsevier B.V.