首页> 外文会议>Dependable, Autonomic and Secure Computing, 2009. DASC '09 >Correlation Between Forehead EEG and Sensorimotor Area EEG in Motor Imagery Task
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Correlation Between Forehead EEG and Sensorimotor Area EEG in Motor Imagery Task

机译:运动图像任务中前额脑电图与感觉运动区脑电图的相关性

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Electrodes connection on the scalp needs to apply gel or paste on the scalp and fit EEG-cap on the head and this procedure also needs to deal with the hair on it. By comparison, to fit EEG electrodes on the forehead area is much easier because there is no hair on it. If correlations of the EEGs generated from the forehead area are high with respect to EEGs from the sensorimotor area, it is then possible to achieve relatively high classification accuracy in motor imagery tasks just using EEG from forehead channels. In this way, it will help to make the procedure of motor imagery tasks much easier and convenient. Because correlation coefficients is often used to measure the similarity of two signals, it is necessary to study whether there is a high correlation between forehead channelsȁ9; EEG and EEG from sensorimotor area during MI(Motor Imagery) tasks. In this paper, EEG data from three subjects were used in the tests. Firstly, a test was conducted on the correlation between EEGs from forehead 8(Fp1-Af8) channels and EEGs from the sensorimotor area channel C3, C4 during the MI tasks. The correlation is calculated with respect to ERP (Event-Related-Potential), Spectral Power between 6-25Hz, and ERSP (Event-Related-Spectral-Perturbation) at Alpha rhythms 8-12Hz. The results of the correlation tests are mostly above 70%. In particular, for subject Sl1, the correlation coefficient of ERSP between forehead channels and C3, C4 are as high as 0.9 during the left hand movement imagery trials. Secondly, we did a test on the classification of imagined left/right hand movement tasks using EEGs from 8 electrodes in the forehead. Classification results show that the accuracy of the forehead 8 channelsȁ9; EEGs are as high as 81% for subject Sk6 comparing to 90% using 29 channelsȁ9; EEG signal neighboring to C3, C4. For subject Sk3 and subject Sl1, the accuracies are 65% and 79% comparing to 80% and 83% using EE-nG signals from 29 channels neighboring to C3, C4. So there are high correlation between EEGs from the forehead area and EEGs from the sensorimotor area. That is to say, we can use EEGs from forehead in some situations, such as classification of left/right imagery, because they are much easier to measure than EEG form the sensorimotor area. This will make BCI system more portable and more convenient to use.
机译:头皮上的电极连接需要在头皮上涂抹凝胶或糊剂,并在头上戴上EEG帽,并且此过程还需要处理其上的头发。相比之下,将EEG电极安装在额头区域要容易得多,因为上面没有毛发。如果从额头区域产生的脑电图相对于从感觉运动区域来的脑电图相关性高,则仅使用来自额头通道的脑电图就可以在运动成像任务中实现相对较高的分类精度。这样,将有助于使汽车成像任务的程序变得更加轻松和便捷。由于相关系数经常用于测量两个信号的相似性,因此有必要研究前额通道之间是否存在高相关性ȁ9; MI(Motor Imagery)任务期间,来自感觉运动区域的EEG和EEG。在本文中,来自三个受试者的脑电数据用于测试。首先,在MI任务期间,对前额8(Fp1-Af8)通道的脑电图与感觉运动区通道C3,C4的脑电图之间的相关性进行了测试。相对于ERP(事件相关电位),6-25Hz之间的谱功率和ERSP(事件相关光谱扰动)以Alpha节律8-12Hz计算相关性。相关性测试的结果大多在70%以上。特别地,对于受试者S1,在左手运动图像试验期间,前额通道与C3,C4之间的ERSP的相关系数高达0.9。其次,我们使用前额8个电极的脑电图对想象的左右手运动任务进行了分类测试。分类结果表明,前额8个通道的准确度为9。受试者Sk6的脑电图高达81%,而使用29个通道×9的脑电图则高达90%;与C3,C4相邻的EEG信号。对于受试者Sk3和受试者Sl1,使用来自与C3,C4相邻的29个通道的EE-nG信号的准确度为65%和79%,而准确度为80%和83%。因此,前额区域的脑电图与感觉运动区域的脑电图之间存在高度相关性。也就是说,在某些情况下,例如左/右图像分类,我们可以使用前额脑电图,因为它们比感觉运动区域的脑电图更容易测量。这将使BCI系统更便携,使用更方便。

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