A multimodal foundation model for ECG and PPG, pretrained on 1.7 million individuals, is reported to transfer across lead configurations and sensing modalities on diagnosis, demographics, blood pressure, outcome prediction, and ECG QA tasks.
M.et al.Deep neural network-estimated electrocardiographic age as a mortality predictor.Nat
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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
A multimodal foundation model for ECG and PPG, pretrained on 1.7 million individuals, is reported to transfer across lead configurations and sensing modalities on diagnosis, demographics, blood pressure, outcome prediction, and ECG QA tasks.