v0.1.3 Normalization
Description:
- Added local peak normalization to scale each ECG segment to [-1, +1].
- Introduced global z-score normalization for a standardized amplitude distribution across segments.
- Strengthened input consistency and numerical stability, reducing amplitude drift.
- Notable improvement in model performance, especially for atrial fibrillation (AF) detection.
Highlights:
- AUC for AF detection increased from 0.731 to 0.7698, demonstrating enhanced classification performance for AF.
- Other AUC scores:
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Normal: 0.7008
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Other: 0.5133
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Noisy: 0.8610
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Overall macro AUC: 0.7112
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- Suitable for projects requiring consistent training data and cross-subject comparability.
