BETA dataset

Dataset Overview

Dataset Name

BETA dataset

Dataset Source

Tsinghua University

Dataset Description

BETA dataset is a large‑scale benchmark database intended to support SSVEP‑BCI applications. After downloading, users may rename subjects S1‑S9 to S01‑S09 according to personal preferences. The subject_id variable can be adjusted as needed.

Dataset Applications

Application Methods

• Apply the Source Aliasing Matrix Estimation (SAME) method for data augmentation to improve SSVEP‑BCI performance.
• Combine ensemble task‑related component analysis (eTRCA) and task‑discriminant component analysis (TDCA) algorithms for performance comparison.

Application Results

• Classification accuracy is computed to demonstrate the effect of SAME under different numbers of training repetitions (Nt).
• Results show that eTRCA and TDCA with SAME achieve higher accuracy for all Nt values.

Related Files

Main Files

• demo‑SAME‑BETA‑main.ipynb: File for computing classification accuracy; it has been executed and stores results for all subjects in a 0.5 s time window.

Result Files

• demo_beta_eTRCA_withoutSAME.mat, demo_beta_eTRCA_withSAME.mat, demo_beta_TDCA_withoutSAME.mat, demo_beta_TDCA_withSAME.mat: Files containing classification‑accuracy results under different conditions.