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GitHub / AryaKoureshi / EEG-Signal-Classification-using-CSP-Features

This repository contains a Python implementation for solving a two-class classification problem using CSP features extracted from EEG data. The classification task involves discriminating between mental tasks, specifically imagining foot movement and performing mental discrimination.

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Stars: 0
Forks: 0
Open Issues: 0

License: mit
Language: Jupyter Notebook
Repo Size: 8.14 MB
Dependencies: 0

Created: 4 months ago
Updated: 4 months ago
Last pushed: 4 months ago
Last synced: 4 months ago

Topics: csp, eeg, kfold-cross-validation, knn, lda, mne, python, svm

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