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RAE-PPG: Duration-Grounded Retain-and-Extend Pretraining for PPG Foundation Models

Lee, Suyeong et al.
arXiv (All) · Papers
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machine-learning
Signal features derived from photoplethysmography (PPG) require different signal durations to characterize. Existing PPG foundation models treat duration as a pretraining or evaluation condition rather than using the different durations required by PPG features to organize self-supervision. We hypot
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