混合脑机接口的研究现状及应用

随着多学科的发展，脑-机接口(brain-computer interface，BCI)技术取得了飞速发展，已成为脑科学、神经医学、人工智能等领域的研究热点。多项研究表明，多模态混合BCI(hybrid brain-computer interface,hBCI)比仅使用一种脑电信号(单模态)的BCI拥有更高的识别率和更好的稳定性。针对基于脑电图(electroencephalography， EEG)和肌电图(electromyography，EMG)的hBCI技术的研究现状与应用情况进行了分析与阐述，并总结了近年来EEG和EMG信号处理的主要方法，并针对目前国内外研究现状中所存在的问题，提出了在脑肌电混合BCI方向的潜在创新点，以期促进基于EEG和EMG的混合BCI在实际应用中进一步发展。

Research status and application based on hybrid brain computer interface

Brain-computer interface (BCI) technology has made rapid progress with the development of multidisciplinary research, And many studies have shown that hybrid brain-computer interface (BCI) has higher recognition rate and more stable than BCI using only one brain signal (single mode). In this paper, the research status and application of hybrid brain-computer interface technology based on electroencephalography (EEG) and electromyography (EMG) are analyzed and elaborated, And the main methods of signal processing of EEG and EMG are summarized. Finally, aiming at the existing problems in research status at home and abroad, a potential innovation point in the direction of BCI is proposed to promote further development of the hybrid BIC based on EEG and EMG in the practical application.