Evaluation of a Compact Hybrid Brain-Computer Interface System.
Evaluation of a Compact Hybrid Brain-Computer Interface System.
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DOI：
10.1155/2017/6820482
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发表时间：
2017
影响因子：
--
通讯作者：
Hwang HJ
中科院分区：
文献类型：
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作者：
Shin J;Müller KR;Schmitz CH;Kim DW;Hwang HJ
将便携式近红外光谱（NIRS）装置与经济型脑电图（EEG）系统相结合，实现了一种紧凑的脑机混合接口（BCI）系统。近红外光谱阵列位于受试者的前额，覆盖前额叶区域。脑电图电极分布在额叶区、运动/颞叶区和顶叶区。实验范式包括Stroop词-图匹配测试和心算（MA）和基线（BL）任务，被试分别在一致或不一致的条件下执行心算或基线任务。我们比较了每种模式（近红外光谱或脑电图）与混合系统的分类精度。结果表明，混合系统比单峰脑电图和近红外光谱系统分别高出6.2%和2.5%。由于提出的混合系统基于便携式平台，因此它不局限于实验室环境，而且具有在现实生活中使用的潜力，例如神经康复。
We realized a compact hybrid brain-computer interface (BCI) system by integrating a portable near-infrared spectroscopy (NIRS) device with an economical electroencephalography (EEG) system. The NIRS array was located on the subjects' forehead, covering the prefrontal area. The EEG electrodes were distributed over the frontal, motor/temporal, and parietal areas. The experimental paradigm involved a Stroop word-picture matching test in combination with mental arithmetic (MA) and baseline (BL) tasks, in which the subjects were asked to perform either MA or BL in response to congruent or incongruent conditions, respectively. We compared the classification accuracies of each of the modalities (NIRS or EEG) with that of the hybrid system. We showed that the hybrid system outperforms the unimodal EEG and NIRS systems by 6.2% and 2.5%, respectively. Since the proposed hybrid system is based on portable platforms, it is not confined to a laboratory environment and has the potential to be used in real-life situations, such as in neurorehabilitation.