chaklam-silpasuwanchai/Python-for-EEG
A basic demonstration how to use Python, MNE, and PyTorch to analyze EEG signal.
This project provides practical examples for analyzing brainwave (EEG) signals using established methods. It takes raw EEG recordings from various experiments, like P300, emotional response, or motor imagery tasks, and demonstrates how to process them into meaningful insights about brain activity. It's intended for neuroscientists, cognitive psychologists, or researchers working with EEG data.
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Use this if you are a researcher looking for concrete examples and code to analyze different types of EEG data for event-related potentials, spectral analysis, or motor imagery.
Not ideal if you are looking for a plug-and-play application for real-time EEG analysis or a comprehensive software suite for clinical EEG diagnostics.
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Last pushed
Dec 06, 2022
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