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README.md
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- SSVEP
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# BETA
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## Dataset Description
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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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### 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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- SSVEP
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# The BETA dataset
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## Dataset Description
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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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### 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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