Article

ECG-SSL: A Systematic Benchmark for Self-SupervisedLearning Strategies on Multi-Center Electrocardiogram Data

2026-07-24

Abstract excerpt

Self-supervised learning (SSL) has emerged as a powerful paradigm for learning transferable electrocardiogram (ECG) representations without requiring labeled data. Despite growing interest, no standardized benchmark exists for comparing SSL strategies under controlled multi-center conditions, leaving practitioners without principled guidance. We present OpenECG, an open benchmark comprising 1,233,337 twelve-lead E...

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Literature Corpus work: 02144d62-6e54-5a39-8991-c0312355e060
DOI: 10.20944/preprints202607.1782.v1

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