Unobtrusive ambulatory EEG using a smartphone and flexible printed electrodes around the ear.
Unobtrusive ambulatory EEG using a smartphone and flexible printed electrodes around the ear.
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DOI：
10.1038/srep16743
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发表时间：
2015-11-17
影响因子：
4.6
通讯作者：
Bleichner M
中科院分区：
文献类型：
--
作者：
Debener S;Emkes R;De Vos M;Bleichner M
这项研究提供了第一个证据，表明可以使用新的 cEEGrid 电极阵列记录可靠的脑电图数据，该电极阵列由印刷在柔性薄片上并排列成 C 形以贴合耳朵周围的 10 个电极组成。十名参与者佩戴两个 cEEGrid 系统至少七个小时。使用智能手机进行刺激传递和信号采集，在早上和下午收集静息脑电图和听觉奇怪数据，间隔六到七个小时。对静息脑电图数据的分析证实了众所周知的睁眼和闭眼条件下的光谱差异。 ERP 结果证实了预测的条件效应，与标准音调相比，目标的 P300 幅度明显更大，并且 P300 幅度的重测可靠性很高 (r > = .74)。此外，根据上午训练的数据训练的线性分类器显示，上午和下午训练的分类准确度相似（均>>70%）。这些发现证明了在数小时内隐蔽且舒适地获取大脑活动的可行性。
This study presents first evidence that reliable EEG data can be recorded with a new cEEGrid electrode array, which consists of ten electrodes printed on flexible sheet and arranged in a c-shape to fit around the ear. Ten participants wore two cEEGrid systems for at least seven hours. Using a smartphone for stimulus delivery and signal acquisition, resting EEG and auditory oddball data were collected in the morning and in the afternoon six to seven hours apart. Analysis of resting EEG data confirmed well-known spectral differences between eyes open and eyes closed conditions. The ERP results confirmed the predicted condition effects with significantly larger P300 amplitudes for target compared to standard tones, and a high test-retest reliability of the P300 amplitude (r > = .74). Moreover, a linear classifier trained on data from the morning session revealed similar performance in classification accuracy for the morning and the afternoon sessions (both > 70%). These findings demonstrate the feasibility of concealed and comfortable brain activity acquisition over many hours.