Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface.
Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface.
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DOI：
10.3389/fnhum.2014.00244
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发表时间：
2014
影响因子：
2.9
通讯作者：
Hong KS
中科院分区：
文献类型：
--
作者：
Khan MJ;Hong MJ;Hong KS
混合脑机接口（BCI）的多模态技术能够实现精确的大脑信号分类，可用于制定控制命令。在本研究中，实验混合近红外光谱-脑电图（NIRS-EEG）技术被用来提取和解码四种不同类型的大脑信号。NIRS装置位于前额叶脑区域上方，EEG位于左右运动皮层区域上方。参与实验的12名受试者被展示了四个方向符号，即“向前”，“向后”，“左”和“右”。通过执行与氧合血红蛋白（HbO）变化相关的算术心理任务来估计向前和向后运动的控制命令。左和右方向命令分别与右和左手轻敲相关联。实现的高分类精度表明，四个不同的控制信号可以准确地估计使用混合NIRS-EEG技术。
The hybrid brain-computer interface (BCI)'s multimodal technology enables precision brain-signal classification that can be used in the formulation of control commands. In the present study, an experimental hybrid near-infrared spectroscopy-electroencephalography (NIRS-EEG) technique was used to extract and decode four different types of brain signals. The NIRS setup was positioned over the prefrontal brain region, and the EEG over the left and right motor cortex regions. Twelve subjects participating in the experiment were shown four direction symbols, namely, “forward,” “backward,” “left,” and “right.” The control commands for forward and backward movement were estimated by performing arithmetic mental tasks related to oxy-hemoglobin (HbO) changes. The left and right directions commands were associated with right and left hand tapping, respectively. The high classification accuracies achieved showed that the four different control signals can be accurately estimated using the hybrid NIRS-EEG technology.
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影响因子：
4
作者：
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通讯作者：
Hong, Keum-Shik
影响因子：
3.9
作者：
Hu XS;Hong KS;Ge SS;Jeong MY
通讯作者：
Jeong MY
影响因子：
4
作者：
Jochumsen, Mads;Niazi, Imran Khan;Dremstrup, Kim
通讯作者：
Dremstrup, Kim
影响因子：
4
作者：
Coyle, Shirley M.;Ward, Tomas E.;Markham, Charles M.
通讯作者：
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DOI：
10.1016/0168-5597(94)00226-5
发表时间：
1995-03-01
期刊：
EVOKED POTENTIALS-ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY
影响因子：
--
作者：
BEISTEINER, R;HOLLINGER, P;BERTHOZ, A
通讯作者：
BERTHOZ, A