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license: cc-by-4.0 |
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tags: |
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- BCI |
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- EEG |
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- SSVEP |
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--- |
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# The BETA dataset |
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## Dataset Description |
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- **Title:** BETA: A large benchmark database toward SSVEP-BCI application |
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- **Authors:** Bingchuan Liu, Xiaoshan Huang, Yijun Wang, Xiaogang Chen, Xiaorong Gao |
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- **Year:** 2020 |
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- **Journal:** Frontiers in Neuroscience |
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### Paper |
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- [BETA: A Benchmark Database Towards BCI Application (Full Text)](https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2020.00627/full) |
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### Summary |
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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**. |
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- The design and acquisition of BETA aim to meet the demands of **real-world BCI applications**. |
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- BETA can be used as a **test-bed** for algorithm development and benchmarking. |
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--- |
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### Other Download Websites |
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- [Figshare Download](https://figshare.com/articles/dataset/The_BETA_database/12264401) |
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- [Tsinghua BCI Lab](http://bci.med.tsinghua.edu.cn/download.html) *(currently under maintenance)* |
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## Usage |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("Bingchuan/beta") |
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print(dataset) |
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``` |
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--- |
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### Citation |
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We appreciate it if you cite the following work: |
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```bibtex |
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@article{liu2020beta, |
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title={BETA: A large benchmark database toward SSVEP-BCI application}, |
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author={Liu, Bingchuan and Huang, Xiaoshan and Wang, Yijun and Chen, Xiaogang and Gao, Xiaorong}, |
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journal={Frontiers in neuroscience}, |
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volume={14}, |
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pages={627}, |
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year={2020}, |
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publisher={Frontiers Media SA} |
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} |
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``` |
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