guangyizhangbci/EEG_Riemannian
IEEE Transactions on Emerging Topics in Computational Intelligence
This project helps researchers and engineers analyze complex EEG (Electroencephalography) brainwave data for tasks like recognizing emotions or classifying motor imagery. It takes raw EEG recordings, processes them through advanced mathematical techniques, and outputs models capable of accurately identifying specific brain states. This is designed for neuroscientists, BCI (Brain-Computer Interface) developers, and cognitive science researchers working with EEG signals.
No commits in the last 6 months. Available on PyPI.
Use this if you need to build machine learning models to classify brain states from EEG data for applications like emotion recognition or motor imagery.
Not ideal if you are looking for a simple, out-of-the-box application for real-time EEG analysis without diving into model training and hyperparameter tuning.
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74
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12
Language
Python
License
MIT
Category
Last pushed
Apr 15, 2025
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0
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