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首页> 外文期刊>Frontiers in Neurorobotics >Hybrid EEG–fNIRS-Based Eight-Command Decoding for BCI: Application to Quadcopter Control
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Hybrid EEG–fNIRS-Based Eight-Command Decoding for BCI: Application to Quadcopter Control

机译：基于混合EEG–fNIRS的BCI八命令解码：在四轴飞行器控制中的应用

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In this paper, a hybrid electroencephalography–functional near-infrared spectroscopy (EEG–fNIRS) scheme to decode eight active brain commands from the frontal brain region for brain–computer interface is presented. A total of eight commands are decoded by fNIRS, as positioned on the prefrontal cortex, and by EEG, around the frontal, parietal, and visual cortices. Mental arithmetic, mental counting, mental rotation, and word formation tasks are decoded with fNIRS, in which the selected features for classification and command generation are the peak, minimum, and mean ΔHbO values within a 2-s moving window. In the case of EEG, two eyeblinks, three eyeblinks, and eye movement in the up/down and left/right directions are used for four-command generation. The features in this case are the number of peaks and the mean of the EEG signal during 1 s window. We tested the generated commands on a quadcopter in an open space. An average accuracy of 75.6% was achieved with fNIRS for four-command decoding and 86% with EEG for another four-command decoding. The testing results show the possibility of controlling a quadcopter online and in real-time using eight commands from the prefrontal and frontal cortices via the proposed hybrid EEG–fNIRS interface.
机译：在本文中，提出了一种混合脑电图功能近红外光谱（EEG–fNIRS）方案，该方案可解码来自额脑区域的八个活动脑命令，以实现脑机接口。位于前额叶皮层的fNIRS和位于额叶皮层，顶叶和视觉皮层周围的EEG总共解码了八个命令。使用fNIRS解码思维算术，思维计数，思维轮换和构词任务，其中用于分类和命令生成的选定功能是2-s移动窗口内的峰值，最小值和平均值ΔHbO值。在EEG的情况下，四指令生成使用两个眨眼，三个眨眼以及上下左右方向上的眼睛移动。这种情况下的特征是在1 s窗口内的峰值数量和EEG信号的平均值。我们在一个开放空间的四轴飞行器上测试了生成的命令。使用fNIRS进行四指令解码时，平均准确度达到75.6％，使用EEG进行另一四指令解码时，平均准确度达到86％。测试结果表明，通过拟议的EEG-fNIRS混合接口，可以使用来自额叶皮层和额叶皮层的八条命令在线和实时控制四轴飞行器。

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