EEG dataset for BCI classification

doi:doi:10.57702/hik2iqpx

EEG dataset for BCI classification

The dataset used in this paper is a collection of EEG signals recorded from 6 healthy males using dry electrodes. The dataset is used for training and testing a convolutional neural network for EEG-based brain-computer interface (BCI) classification.

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The json representation of the dataset with its distributions based on DCAT.
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Cite this as

Okba Bekheliﬁ, Nasr-Eddine Berrached (2024). Dataset: EEG dataset for BCI classification. https://doi.org/10.57702/hik2iqpx

DOI retrieved: December 2, 2024

Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Author	Okba Bekheliﬁ
More Authors	Nasr-Eddine Berrached