Multi-Session longitudinal MI training dataset
Creators
- 1. UT Austin
- 2. The University of Texas at Austin
- 3. Semmelweis Egyetem
Description
This dataset contains data from 18 subjects recorded over 6 sessions conducted on different days. The details of data acquisition protocol are mentioned in this paper "Transfer learning promotes acquisition of individual BCI skills" . Detailed dataset descriptions in terms of triggers and basic helper functions are provided in this repository . If you end up using this dataset for benchmarking BCI algorithms please cite,
@article{kumar2024transfer,
title={Transfer learning promotes acquisition of individual BCI skills},
author={Kumar, Satyam and Alawieh, Hussein and Racz, Frigyes Samuel and Fakhreddine, Rawan and Mill{\'a}n, Jos{\'e} del R},
journal={PNAS Nexus},
pages={pgae076},
year={2024},
publisher={Oxford University Press}
}
For more information on the dataset, please contact the authors.
Files
Online_Offline_Race.zip
Files
(4.5 GB)
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