EEG driver drowsiness dataset (unbalanced)

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 full version of the pre-processed dataset from the original author is accessible from:<br>https://figshare.com/articles/dataset/Multi-channel_EEG_recordings_during_a_sustained-attention_driving_task_preprocessed_dataset_/7666055<br><br>This dataset is the unbalanced version of our previous version of dataset:<br>https://figshare.com/articles/dataset/EEG_driver_drowsiness_dataset/14273687<br><br>The difference from the previous version is that the samples have not been balanced for each subject. The details on how the data were extracted are described in our paper (except performing step 3 in page 3):<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>The data file contains 3 variables and they are EEGsample, substate and subindex.<br><br>"EEGsample" contains 2952 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 2952x1. It contains the subject indexes from 1-11 corresponding to each EEG sample."substate" is an array of 2952x1. It contains the labels of the samples. 0 corresponds to the alert state and 1 correspond to the drowsy state.<br>