EEG driver drowsiness dataset

The dataset contains EEG signals from 11 subjects with labels of alert and drowsy. It can be opened with Matlab. We extracted the data for our own research purpose from another public dataset:<br>Cao, Z., et al., Multi-channel EEG recordings during a sustained-attention driving task. Scientific data, 2019. 6(1): p. 1-8.<br>If you find the dataset useful, please give credits to their works. <br>The details on how the data were extracted are described in our paper:<br>"Jian Cui, Zirui Lan, Yisi Liu, Ruilin Li, Fan Li, Olga Sourina, Wolfgang Müller-Wittig, A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEG, Methods, 2021, ISSN 1046-2023, https://doi.org/10.1016/j.ymeth.2021.04.017."<br><br>The codes of the paper above are accessible from:<br>https://github.com/cuijiancorbin/A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG<br><br>The data file contains 3 variables and they are EEGsample, substate and subindex.<br>"EEGsample" contains 2022 EEG samples of size 20x384 from 11 subjects. Each sample is a 3s EEG data with 128Hz from 30 EEG channels."subindex" is an array of 2022x1. It contains the subject indexes from 1-11 corresponding to each EEG sample."substate" is an array of 2022x1. It contains the labels of the samples. 0 corresponds to the alert state and 1 correspond to the drowsy state.

本数据集包含来自11名受试者的脑电（EEG, Electroencephalogram）信号，标注有清醒与困倦两类状态。该数据集可通过Matlab软件打开。
我们从另一项公开数据集提取了本研究所需的数据，原始文献为：Cao Z 等人，《持续注意力驾驶任务中的多通道脑电记录》，《Scientific Data》，2019年，第6卷第1期，第1-8页。
若您认为本数据集对研究有所助益，请引用该原始文献。
本数据集的提取细节记载于我们的研究论文：
"Jian Cui, Zirui Lan, Yisi Liu, Ruilin Li, Fan Li, Olga Sourina, Wolfgang Müller-Wittig, 《基于单通道脑电的跨受试者驾驶员困倦检测：紧凑型可解释卷积神经网络》，《Methods》，2021年，ISSN 1046-2023，https://doi.org/10.1016/j.ymeth.2021.04.017。"
该论文的配套代码可从以下链接获取：
https://github.com/cuijiancorbin/A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG
本数据集文件包含3个变量，分别为EEGsample、subindex与substate。
"EEGsample"包含来自11名受试者的2022条脑电样本，每条样本维度为20×384。每条样本为时长3秒、采样率128Hz的30通道脑电数据。
"subindex"为2022×1的数组，存储每条脑电样本对应的受试者编号，取值范围为1至11。
"substate"为2022×1的数组，存储样本的标注标签：0对应清醒状态，1对应困倦状态。