ryanr08/EEG_Networks
Evaluation of Neural Networks for Classifying Electroencephalography (EEG) Data
This project helps researchers and scientists in brain-computer interfaces or neuroscience automatically interpret electroencephalography (EEG) data. By inputting raw EEG recordings, it classifies specific human activities like hand movements or tongue movement from brain signals. This tool is designed for neuroscientists, clinical researchers, or anyone working with EEG for activity prediction.
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Use this if you need to classify human activities or states directly from raw EEG data, especially when traditional preprocessing is cumbersome.
Not ideal if your primary goal is to analyze the raw EEG signal itself or if you require a simple, interpretable model rather than a deep learning approach.
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Mar 15, 2022
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