comojin1994/DFformer
Towards Domain Free Transformer for Generalized EEG Pre-training
This project helps researchers and scientists working with Electroencephalography (EEG) signals to analyze human physiological states more effectively. It takes raw EEG data from diverse sources and uses a specialized pre-trained model to generate more accurate classifications for tasks like motor imagery or sleep stage detection. The primary users are neuroscientists, sleep researchers, or medical professionals who analyze brainwave data but may have limited data for training robust deep learning models.
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Use this if you need to classify EEG signals for tasks like motor imagery or sleep staging, especially when you have limited EEG data for training your models or data from different acquisition setups.
Not ideal if your primary goal is to analyze non-EEG biological signals or if you are not working with deep learning models for signal classification.
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Python
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Apr 22, 2025
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