The representations of different fingers in the sensorimotor cortex are largely overlapped, which necessitate a good signal-to-noise ratio (SNR) and high spatial resolution to classify individual finger movements from one hand. Electroencephalography (EEG) recorded with disc electrodes has low SNR and poor spatial resolution. The surface Laplacian has been applied to EEG to improve the spatial resolution and selectivity of the surface electrical activity recording. Tri-polar concentric ring electrodes (TCREs) were shown to estimate the Laplacian automatically with better spatial resolution than disc electrodes. For this work, movement-related potentials (MRPs) were recorded from four TCREs and disc electrodes while 13 subjects performed real and imaginary finger movements. The MRP signals recorded with the TCREs have significantly less mutual information and coherence between neighboring locations compared to disc electrodes. The results also show that signals from TCREs generated higher accuracy compared to disc electrodes. It further shows that TCREs using temporal EEG data as features yield an average accuracy of 70.0 ± 7.7% and 63.3 ± 5.8% for real and imaginary finger movements, respectively, which is significantly higher than utilizing EEG spectral power changes in α and β bands as features. Similarly, with the disc electrodes, it achieved highest accuracy of 46.13 ± 6.77% and 34.03 ± 5.03% for real and imaginary finger movements, respectively, with temporal EEG data feature.

中文翻译：

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传统和三极 EEG 电极用于从一只手解码真实和想象的手指运动的比较

感觉运动皮层中不同手指的表示在很大程度上重叠，这需要良好的信噪比 (SNR) 和高空间分辨率来对一只手的单个手指运动进行分类。使用圆盘电极记录的脑电图 (EEG) 具有低信噪比和较差的空间分辨率。表面拉普拉斯算子已应用于脑电图，以提高表面电活动记录的空间分辨率和选择性。三极同心环电极 (TCRE) 可以自动估计拉普拉斯算子，具有比圆盘电极更好的空间分辨率。在这项工作中，从四个 TCRE 和圆盘电极记录了运动相关电位 (MRP)，而 13 名受试者进行了真实和虚构的手指运动。与圆盘电极相比，使用 TCRE 记录的 MRP 信号在相邻位置之间的互信息和相干性明显减少。结果还表明，与圆盘电极相比，来自 TCRE 的信号产生更高的准确度。它进一步表明，使用时间 EEG 数据作为特征的 TCRE 产生的平均准确度为70.0 ± 7.7％ 和63.3 ± 5.8% 分别用于真实和虚构的手指运动，这显着高于利用脑电图谱功率变化α和β带作为特征。同样，使用圆盘电极，它达到了最高精度46.13 ± 6.77％ 和34.03 ± 5.03% 分别用于真实和虚构的手指运动，具有时间 EEG 数据特征。