Human EEG Dataset for Brain-Computer Interface and Meditation

This database includes the de-identified EEG data from 62 healthy individuals who participated in a brain-computer interface (BCI) study. All subjects underwent 7-11 sessions of BCI training which involves controlling a computer cursor to move in one-dimensional and two-dimensional spaces using subject’s “intent”. EEG data were recorded with 62 electrodes. In addition to the EEG data, behavioral data including the online success rate of BCI cursor control are also included.<br>This dataset was collected under support from the National Institutes of Health via grants AT009263, EB021027, NS096761, MH114233, RF1MH to Dr. Bin He. Correspondence about the dataset: Dr. Bin He, Carnegie Mellon University, Department of Biomedical Engineering, Pittsburgh, PA 15213. E-mail: [e-mail] <br>This dataset has been used and analyzed to study the learning of BCI control and the effects of mind-body awareness training on this process. The results are reported in: Stieger et al, “Mindfulness Improves Brain Computer Interface Performance by Increasing Control over Neural Activity in the Alpha Band,” Cerebral Cortex, 2020 (https://doi.org/10.1093/cercor/bhaa234). Please cite this paper if you use any data included in this dataset.<br>

本数据库包含62名健康受试者的去标识化脑电图（EEG）数据，这些受试者参与了一项脑机接口（BCI）研究。所有受试者均完成了7至11次脑机接口训练，训练内容为通过受试者的“意念”控制计算机光标在一维及二维空间内移动。脑电图数据通过62通道电极采集记录。除脑电图数据外，数据集还包含行为学数据，其中包括脑机接口光标控制的在线成功率。
本数据集由美国国立卫生研究院（National Institutes of Health）通过编号为AT009263、EB021027、NS096761、MH114233、RF1MH的科研拨款支持收集，资助对象为Bin He博士。有关本数据集的咨询事宜，请联系：宾夕法尼亚州匹兹堡市卡内基梅隆大学生物医学工程系Bin He博士，邮政编码15213，电子邮箱：[e-mail]。
本数据集已被用于脑机接口控制学习以及身心觉知训练对该过程的影响相关研究，相关研究成果发表于：Stieger等人2020年发表于《大脑皮层》（Cerebral Cortex）的论文《正念通过增强对α频段神经活动的控制提升脑机接口表现》（Mindfulness Improves Brain Computer Interface Performance by Increasing Control over Neural Activity in the Alpha Band），链接：https://doi.org/10.1093/cercor/bhaa234。若使用本数据集内的任何数据，请引用该论文。