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eess.SP2024
ECGtizer: a fully automated digitizing and signal recovery pipeline for electrocardiograms
Alex Lence, Ahmad Fall, Samuel David Cohen +4
Electrocardiograms (ECGs) are essential for diagnosing cardiac pathologies, yet traditional paper-based ECG storage poses significant challenges for automated analysis. This study…
eess.SP2024
ECGrecover: a Deep Learning Approach for Electrocardiogram Signal Completion
Alex Lence, Federica Granese, Ahmad Fall +4
In this work, we address the challenge of reconstructing the complete 12-lead ECG signal from its incomplete parts. We focus on two main scenarios: (i) reconstructing missing signa…