BCIC-IV-2a

EEG classification aims to classify EEG recordings that consist of C sensor readings regularly sampled, e.g., at a set frequency in Hz, usually for a short time range of a few seconds. For each recording additional information, often called meta data, is available, e.g., the ID of a human subject, the sequence number of a session or the sequence number of a task within a session.

Data and Resources

Cite this as

Johannes Burchert, Thorben Werner, Vijaya Krishna Yalavarthi, Diego Coello de Portugal, Maximilian Stubbemann, Lars Schmidt-Thieme (2025). Dataset: BCIC-IV-2a. https://doi.org/10.57702/mkgn3bcv

DOI retrieved: January 3, 2025

Additional Info

Field Value
Created January 3, 2025
Last update January 3, 2025
Defined In https://doi.org/10.48550/arXiv.2404.06966
Citation
  • https://doi.org/10.48550/arXiv.2210.01986
Author Johannes Burchert
More Authors
Thorben Werner
Vijaya Krishna Yalavarthi
Diego Coello de Portugal
Maximilian Stubbemann
Lars Schmidt-Thieme
Homepage https://www.kaggle.com/c/bci-competition-iv-2a