About Dataset

This is a dataset of EEG brainwave data that has been processed with our method of statistical feature extraction

Code for extraction of features - https://github.com/jordan-bird/eeg-feature-generation
This dataset is the output of the above

The data was collected from four people (2 male, 2 female) for 60 seconds per state - relaxed, concentrating, neutral. We used a Muse EEG headband which recorded the TP9, AF7, AF8 and TP10 EEG placements via dry electrodes.

Our method of statistical extraction resampled the data since waves must be mathematically described in a temporal fashion.

If you would like to use the data in research projects, please cite the following:

J. J. Bird, L. J. Manso, E. P. Ribiero, A. Ekart, and D. R. Faria, “A study on mental state classification using eeg-based brain-machine interface,”in 9th International Conference on Intelligent Systems, IEEE, 2018.

If you would like more detail on the data itself and how this process was carried out, the research paper can be found here:

http://jordanjamesbird.com/mental-state-classification-using-eeg-based-brain-machine-interface/

For more applications, several of our research projects used this dataset for various reasons: https://scholar.google.co.uk/scholar?hl=en&as_sdt=0%2C5&q=Jordan+J.+Bird+EEG&btnG=