Datasets Comparison
Version 3
Physionet EEGMMIDB in MATLAB structure and CSV files to leverage accessibility and exploitation
Description
This dataset is a cleansed, transformed, and structured version of Physionet EEG Motor Movement/Imagery Dataset (https://physionet.org/content/eegmmidb/1.0.0/)
The original dataset is licensed under Open Data Commons Attribution (https://physionet.org/content/eegmmidb/view-license/1.0.0/)
The dataset is offered in two format for versatility and convenience; A MATLAB structure and a collection of CSV files.
Steps to reproduce
Detaild data descriptor and reproduction guide can be found in Shuqfa, Z., Lakas, A. and Belkacem, A.N., 2024. Increasing Accessibility to a Large Brain-Computer Interface Dataset: Curation of Physionet EEG Motor Movement/Imagery Dataset for Decoding and Classification. Data in Brief, p.110181. https://doi-org.uaeu.idm.oclc.org/10.1016/j.dib.2024.110181
Institutions
UAE University College of Information Technology
Categories
Biomedical Engineering, Computational Neuroscience, Electroencephalography, Brain-Computer Interface
Licence
Creative Commons Attribution 4.0 International
Version 4
Physionet EEGMMIDB in MATLAB structure and CSV files to leverage accessibility and exploitation
Description
This dataset is a cleansed, transformed, and structured version of the Physionet EEG Motor Movement/Imagery Dataset (https://physionet.org/content/eegmmidb/1.0.0/)
The original dataset is licensed under Open Data Commons Attribution (https://physionet.org/content/eegmmidb/view-license/1.0.0/)
The dataset is offered in two formats for versatility and convenience; A MATLAB structure (version 7.3) and a collection of CSV files.
Kindly, cite the dataset and the data description paper found under "Related links", below.
Steps to reproduce
Detaild data descriptor and reproduction guide can be found in Shuqfa, Z., Lakas, A. and Belkacem, A.N., 2024. Increasing Accessibility to a Large Brain-Computer Interface Dataset: Curation of Physionet EEG Motor Movement/Imagery Dataset for Decoding and Classification. Data in Brief, p.110181. https://doi-org.uaeu.idm.oclc.org/10.1016/j.dib.2024.110181
Institutions
UAE University College of Information Technology
Categories
Biomedical Engineering, Computational Neuroscience, Electroencephalography, Brain-Computer Interface
Related Links
Licence
Creative Commons Attribution 4.0 International