AIBullisharXiv – CS AI · 6h ago6/10
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A Novel Data Augmentation Strategy for Robust Deep Learning Classification of Biomedical Time-Series Data: Application to ECG and EEG Analysis
Researchers propose a unified deep learning framework combining ResNet-based CNNs with attention mechanisms and novel data augmentation techniques for analyzing biomedical time-series signals like ECG and EEG. The approach achieves near-perfect accuracy (99.78-100%) on benchmark datasets while remaining lightweight enough for wearable deployment, addressing critical gaps in multi-signal analysis and class imbalance handling.