Self-DANA combines dimension-adaptive pooling with random lead selection to fine-tune ECG foundation models on reduced-lead inputs, cutting memory and time while maintaining diagnostic accuracy.
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Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models
Self-DANA combines dimension-adaptive pooling with random lead selection to fine-tune ECG foundation models on reduced-lead inputs, cutting memory and time while maintaining diagnostic accuracy.