rishic3/GenerateEEG
Two Conditional GAN frameworks to perform synthetic EEG generation for dataset augmentation.
This project helps neuroscientists and researchers create additional Electroencephalography (EEG) data. You provide existing EEG recordings, and it generates new, synthetic EEG signals or spectrograms. This is particularly useful for expanding limited datasets for research and analysis.
No commits in the last 6 months.
Use this if you need to augment your existing EEG datasets to improve the robustness of your research or models.
Not ideal if you require only real-world, experimentally collected EEG data for your analysis.
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Last pushed
May 05, 2024
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