BenchECG and xECG: a benchmark and baseline for ECG foundation models
Paper
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2509.10151
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Published
ECG Foundation models
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An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains
Paper • 2410.04133 • Published -
ECG-FM: An Open Electrocardiogram Foundation Model
Paper • 2408.05178 • Published -
OpenECG: Benchmarking ECG Foundation Models with Public 1.2 Million Records
Paper • 2503.00711 • Published -
Large-scale Training of Foundation Models for Wearable Biosignals
Paper • 2312.05409 • Published -
Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals
Paper • 2507.01045 • Published -
From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining
Paper • 2506.21803 • Published -
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