NeuroECG: ECGFounder-Based Deep ECG Representation for EEG-Free Neurological Prognostication After Cardiac Arrest
The proposed NeuroECG model adapts a pretrained ECG foundation model via task-specific fine-tuning and combines the learned deep ECG representation with static clinical covariates to improve prediction in an EEG-free setting.
Jia-Jun Gao, Yi Zhao, Chen-Yang Xu et al.
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