ECGFounder

Peking University (PKUDigitalHealth) / Harvard-Emory

12-lead ECG

Filter catalog by Modality:
ECG

General Purpose / Multi-task

Filter catalog by Disease / Trait:
General / Foundation

Multi-label classification

Filter catalog by Task Type:
Classification

CNN (1D)

Filter catalog by Architecture:
Convolutional (CNN)

PyTorch

Filter catalog by Framework:
PyTorch

MIT

Filter catalog by License:
Permissive

file_copy

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Large-scale ECG foundation model pretrained on more than 10 million recordings spanning 150 label categories from the Harvard-Emory ECG Database. Built as a general-purpose feature extractor that can be fine-tuned for arrhythmia detection, demographic inference, and event prediction, and externally validated on MIMIC-IV-ECG and PTB-XL. Also used as the pretrained backbone for downstream clinical models such as Pocket-K, a hyperkalemia detector. Developed by Peking University and Harvard-Emory researchers.

memory Specifications

gavel License

MIT

check_small Open source check_small Commercial use OK check_small Modifications allowed Attribution required No share-alike requirement

License for model weights only. Associated code may be licensed seperately, check code source for specific terms.

description Publication

An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains open_in_new

2025 · original paper

DOI: 10.1056/AIoa2401033

database Training & evaluation data

Harvard-Emory ECG Database

train

Over 10 million ECG recordings; unique patient count not stated in source paper

science Capabilities & performance