metadata
license: cc-by-4.0
tags:
- BCI
- EEG
- SSVEP
The BETA dataset
Dataset Description
- Title: BETA: A large benchmark database toward SSVEP-BCI application
- Authors: Bingchuan Liu, Xiaoshan Huang, Yijun Wang, Xiaogang Chen, Xiaorong Gao
- Year: 2020
- Journal: Frontiers in Neuroscience
Paper
Summary
The Brain–Computer Interface (BCI) provides an alternative means of communication and has sparked growing interest in the past two decades. Specifically, for Steady-State Visual Evoked Potential (SSVEP)-based BCI (SSVEP-BCI), significant improvements have been made in frequency recognition methods and data sharing. However, the number of public databases in this field is still limited. To address this gap, we present BEnchmark database Towards BCI Application (BETA). The BETA database is composed of 64-channel Electroencephalogram (EEG) data from 70 subjects performing a 40-target cued-spelling task.
- The design and acquisition of BETA aim to meet the demands of real-world BCI applications.
- BETA can be used as a test-bed for algorithm development and benchmarking.
Other Download Websites
- Figshare Download
- Tsinghua BCI Lab (currently under maintenance)
Usage
from datasets import load_dataset
dataset = load_dataset("Bingchuan/beta")
print(dataset)
Citation
We appreciate it if you cite the following work:
@article{liu2020beta,
title={BETA: A large benchmark database toward SSVEP-BCI application},
author={Liu, Bingchuan and Huang, Xiaoshan and Wang, Yijun and Chen, Xiaogang and Gao, Xiaorong},
journal={Frontiers in neuroscience},
volume={14},
pages={627},
year={2020},
publisher={Frontiers Media SA}
}