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Hybrid Brain-Computer Interface (BCI) based on the EEG and EOG signals

机译：基于EEG和EOG信号的混合脑机接口（BCI）

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Recently, the integration of different electrophysiological signals into an electroencephalogram (EEG) has become an effective approach to improve the practicality of brain-computer interface (BCI) systems, referred to as hybrid BCIs. In this paper, a hybrid BCI was designed by combining an EEG with electrocardiograph (EOG) signals and tested using a target selection experiment. Gaze direction from the EOG and the event-related (de)synchronization (ERD/ERS) induced by motor imagery from the EEG were simultaneously detected as the output of the BCI system. The target selection mechanism was based on the synthesis of the gaze direction and ERD activity. When an ERD activity was detected, the target corresponding to the gaze direction was selected; without ERD activity, no target was selected, even when a subjects gaze was directed at the target. With this mechanism, the operation of the BCI system is more flexible and voluntary. The accuracy and completion time of the target selection tasks during the online testing were 89.3% and 2.4 seconds, respectively. These results show the feasibility and practicality of this hybrid BCI system, which can potentially be used in the rehabilitation of disabled individuals.
机译：近来，将不同的电生理信号集成到脑电图（EEG）中已成为一种有效的方法，可以改善称为混合BCI的脑机接口（BCI）系统的实用性。在本文中，通过将脑电图和心电图（EOG）信号结合来设计混合BCI，并使用目标选择实验对其进行了测试。同时检测到来自EOG的注视方向和来自EEG的运动图像所引起的事件相关（去同步）（ERD / ERS），作为BCI系统的输出。目标选择机制基于凝视方向和ERD活性的综合。当检测到ERD活动时，选择与凝视方向相对应的目标。没有ERD活动的情况下，即使对象注视目标，也不会选择目标。通过这种机制，BCI系统的操作更加灵活和自愿。在线测试中目标选择任务的准确性和完成时间分别为89.3％和2.4秒。这些结果表明了这种混合BCI系统的可行性和实用性，可以潜在地用于残疾人的康复。

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