Brain_Activity_Signal_Processing_EEG_MEG mahajialirezaei · COMPLETED
This Project Processes EEG/MEG data to extract α/β/γ power, design/visualize filters, and plot spectrograms. Implements a motor‑imagery BCI using C3/C4 features, LDA classification with ROC evaluation, and real‑time simulation. Built with MNE, SciPy, and scikit‑learn for a complete raw‑to‑classification workflow.
github.com/mahajialirezaei/Brain_Activity_Signal_Processing_EEG_MEG · ★ 0 · Forks 0 · Size 43 KB
SUMMARY
Technologies 3
Scored 3
Observed 3
Practices 6
Evidence 3
Skips 0
COVERAGE
Analyzed 7 files · 60 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
6 files · PRODUCTION
NumPy LIBRARY Depth 74
5 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-06-14
Last commit 2026-06-26
Active months 3
Commits 60