Stacked-Based Fusion Ensemble Framework for ECG Beat Classification
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This model integrates spatial and temporal feature extraction, and ensample classification. The model greatly decreases training time and hardware requirements by processing raw 1D ECG signals directly rather than depending on computationally costly signal-to-image conversions, making it appropriate for edge computing, wearable health monitoring, and real-time applications.
创建时间：
2026-02-20
