[A lightweight classification network for single-lead atrial fibrillation based on depthwise separable convolution and attention mechanism]
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Objectives: To design a deep learning model that balances model complexity and performance to enable its integration into wearable ECG monitoring devices for automated diagnosis of atrial fibrillation. ... ...
