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.
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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.