eeyhsong / EEG-Transformer

i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.

Date Created 2021-05-27 (3 years ago)

Commits 30 (last one about a year ago)

Stargazers 276 (2 this week)

Watchers 4 (0 this week)

Forks 29

License gpl-3.0

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RepositoryStats indexes 595,890 repositories, of these eeyhsong/EEG-Transformer is ranked #143,185 (76th percentile) for total stargazers, and #377,353 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #24,861/119,419.

eeyhsong/EEG-Transformer is also tagged with popular topics, for these it's ranked: deep-learning (#2,972/8511), transformer (#344/1018), eeg (#26/131)

Other Information

eeyhsong/EEG-Transformer has Github issues enabled, there are 2 open issues and 9 closed issues.

All Topics

eeg vit attention transformer deep-learning eeg-classification attention-mechanism physiological-signals common-spatial-pattern

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updated: 2024-12-20 @ 07:54am, id: 371388398 / R_kgDOFiLv7g