PpgAge is developed using Apple Watch PPG data collected under informed consent from participants in the AHMS41. First, we train a general-purpose deep neural network from about 20 million 60-s PPG segments via self-supervised learning (SSL), with the objective of distinguishing participants from each other, summarizing each segment with a 256-dimensional feature vector, i.e., a PPG representation42. To build a …
Read More »A wearable-based aging clock associates with disease and behavior
