BenchECG and xECG: a benchmark and baseline for ECG foundation models
Paper
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2509.10151
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Published
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1
ECG Foundation models
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An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains
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ECG-FM: An Open Electrocardiogram Foundation Model
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OpenECG: Benchmarking ECG Foundation Models with Public 1.2 Million Records
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Large-scale Training of Foundation Models for Wearable Biosignals
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Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals
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From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining
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Self-Supervised Pre-Training with Joint-Embedding Predictive Architecture Boosts ECG Classification Performance
Paper • 2410.13867 • Published -
C-MELT: Contrastive Enhanced Masked Auto-Encoders for ECG-Language Pre-Training
Paper • 2410.02131 • Published -
ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning
Paper • 2504.08713 • Published