Baizhige/EEGResearchHub
A trusted repository for groundbreaking EEG research code. Some peer-reviewed algorithms (such as EEG data augmentation techniques, EEG classification models) to push the boundaries of neuroscience.
This collection of tools helps neuroscience researchers enhance and analyze EEG data. It takes raw EEG recordings and applies data augmentation techniques to expand dataset size or provides pre-built models to classify EEG patterns, particularly for tasks like motor imagery. Neuroscientists and researchers working with EEG data for brain-computer interfaces, cognitive studies, or clinical diagnostics would find this valuable.
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Use this if you need to artificially expand your EEG dataset for more robust analysis, or if you're looking for a framework to classify EEG signals for motor imagery tasks.
Not ideal if you are looking for a general-purpose EEG signal processing library for tasks outside of data augmentation or motor imagery classification.
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29
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4
Language
Python
License
MIT
Category
Last pushed
Jun 18, 2024
Commits (30d)
0
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