explainable-gnn-eeg-neurological
CommunityExplainable EEG-stroke assessment with GNN
Authorhiyenwong
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Predicts stroke severity from EEG data using an explainable Graph Neural Network with attention, enabling clinical interpretation of brain connectivity patterns.
Core Features & Use Cases
- Predict NIHSS from EEG connectivity with interpretable attention coefficients
- Provide brain-network insights to support diagnosis, prognosis, and neurorehabilitation planning
- Frequency-specific brain network analysis across delta, theta, alpha1, alpha2, and beta bands for clinical interpretation
Quick Start
Load EEG data aligned to Brodmann areas, compute LLC across five bands, construct brain graphs, train a GAT model, and inspect attention to derive clinical insights.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: explainable-gnn-eeg-neurological Download link: https://github.com/hiyenwong/ai_collection/archive/main.zip#explainable-gnn-eeg-neurological Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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