Department of Health Science and Technology, Aalborg University, 9220 Aalborg, Denmark.
Department of Architecture, Design and Media Technology, Aalborg University, 9000 Aalborg, Denmark.
Sensors (Basel). 2020 May 14;20(10):2804. doi: 10.3390/s20102804.
Brain-computer interfaces (BCIs) can be used in neurorehabilitation; however, the literature about transferring the technology to rehabilitation clinics is limited. A key component of a BCI is the headset, for which several options are available. The aim of this study was to test four commercially available headsets' ability to record and classify movement intentions (movement-related cortical potentials-MRCPs). Twelve healthy participants performed 100 movements, while continuous EEG was recorded from the headsets on two different days to establish the reliability of the measures: classification accuracies of single-trials, number of rejected epochs, and signal-to-noise ratio. MRCPs could be recorded with the headsets covering the motor cortex, and they obtained the best classification accuracies (73%-77%). The reliability was moderate to good for the best headset (a gel-based headset covering the motor cortex). The results demonstrate that, among the evaluated headsets, reliable recordings of MRCPs require channels located close to the motor cortex and potentially a gel-based headset.
脑-机接口（BCI）可用于神经康复；然而，将该技术转移到康复诊所的文献有限。BCI 的一个关键组成部分是耳机，有几种选择。本研究旨在测试四个市售耳机记录和分类运动意图（运动相关皮质电位-MRCPs）的能力。12 名健康参与者进行了 100 次运动，同时在两天内从耳机上连续记录 EEG，以确定测量的可靠性：单试分类准确率、被拒绝的 epoch 数量和信噪比。可以用覆盖运动皮层的耳机记录 MRCPs，并且它们获得了最佳的分类准确率（73%-77%）。对于最好的耳机（一种覆盖运动皮层的基于凝胶的耳机），可靠性为中等至良好。结果表明，在所评估的耳机中，可靠的 MRCPs 记录需要靠近运动皮层的通道，并且可能需要基于凝胶的耳机。
