Add EEG task definitions and expand GCNN evaluation metrics#2
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jburhan merged 2 commits intoeeg-gcnn-contributionfrom Apr 8, 2026
Merged
Add EEG task definitions and expand GCNN evaluation metrics#2jburhan merged 2 commits intoeeg-gcnn-contributionfrom
jburhan merged 2 commits intoeeg-gcnn-contributionfrom
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Rename task schema keys (psd_features→node_features, adjacency→adj_matrix) to match the EEGGraphConvNet model interface. Add self-contained combined pipeline script that runs both GCN and GAT models with demo mode, requiring only torch + torch_geometric (no PyHealth install needed). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…ation - Restore accidentally dropped EEG_abnormal.py and EEG_events.py task files that were causing an ImportError on test collection. - Add TestFunctionalAdjacency (10 tests) covering _build_functional_adjacency and combined adjacency mode; mne_connectivity is mocked via sys.modules so tests run in milliseconds with no real EEG dependency. - Extend evaluate() in the ablation script to report Precision, Recall, F1, and Balanced Accuracy in addition to AUC, using Youden's J statistic for threshold selection — matching the evaluation protocol in Table 2 of Wagh & Varatharajah (2020). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Summary
This PR adds EEG task definitions and significantly expands the evaluation pipeline for the EEG GCNN model:
New Features
EEG Task Definitions
pyhealth/tasks/EEG_abnormal.py: Binary classification task for abnormal EEG detection on TUAB datasetpyhealth/tasks/EEG_events.py: Multiclass classification task for EEG event annotation on TUEV datasetExtended Evaluation Metrics
Comprehensive Test Coverage
Changes