结合稳态视觉诱发电位的多模态脑机接口研究进展

doi:10.3969/j.issn.0258-8021.2022.02.009

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Abstract Brain-computer interface (BCI) is one of the most active research directions in the field of neural engineering, which can establish a communication and control pathway between the brain and the external environment independent of peripheral nerves or muscles and is helpful to restore the self-care ability of people with movement disorders. Steady-state visual evoked potential BCI attracts great attention for the high information transfer rate and less requirements of training. The existing non-invasive high speed BCI is mainly from or based on SSVEP. In recent years, multi-modal BCI integrateing SSVEP and other input signals has become a new trend in BCI research for further improvement of BCI performance. This paper reviewed advances of multi-modal BCI combined with SSVEP from several aspects, including the type of input signals, fusion of experimental paradigm and signal, aiming to help readers understand the research trends in this field and inspire the design and implementation of high communication rate BCI system. Meanwhile, existing problems and possible development trends in the future were discussed to promote the development of multi-modal BCI combined with SSVEP.

Key words： brain-computer interface steady-state visual evoked potential multi-modal brain-computer interface EEG

Received: 15 April 2021

PACS:

R318

Corresponding Authors: ^*E-mail: cuihy@bme.cams.cn; chenxg@bme.cams.cn

About author:: ^#Member, Chinese Society of Biomedical Engineering

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	Chi Xinyi
	Cui Hongyan
	Chen Xiaogang

Cite this article:

Chi Xinyi,Cui Hongyan,Chen Xiaogang. Advances in Multi-Modal Brain-Computer Interface Combined with Steady-State Visual Evoked Potential[J]. Chinese Journal of Biomedical Engineering, 2022, 41(2): 204-213.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2022.02.009 OR http://cjbme.csbme.org/EN/Y2022/V41/I2/204

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