Conventional brain-computer interface (BCI) systems have been facing two fundamental challenges: the lack of high detection performance and the control command problem. To this end, the researchers have proposed a hybrid brain-computer interface (hBCI) to address these challenges. This paper mainly discusses the research progress of hBCI and reviews three types of hBCI, namely, hBCI based on multiple brain models, multisensory hBCI, and hBCI based on multimodal signals. By analyzing the general principles, paradigm designs, experimental results, advantages, and applications of the latest hBCI system, we found that using hBCI technology can improve the detection performance of BCI and achieve multidegree/multifunctional control, which is significantly superior to single-mode BCIs.

中文翻译：

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混合脑机接口的进展：原理、设计和应用。


传统的脑机接口（BCI）系统一直面临着两个根本挑战：缺乏高检测性能和控制命令问题。为此，研究人员提出了一种混合脑机接口（hBCI）来应对这些挑战。本文主要讨论hBCI的研究进展，并对三种类型的hBCI进行综述，即基于多脑模型的hBCI、多感觉hBCI和基于多模态信号的hBCI。通过分析最新hBCI系统的一般原理、范式设计、实验结果、优点和应用，我们发现利用hBCI技术可以提高BCI的检测性能并实现多度/多功能控制，明显优于单模式脑机接口。