Year: 2026
Type: article
Abstract: Whether wearable photoplethysmography (PPG) encodes dietary information remains unknown. We trained a language model on 1.1M meals to align PPG with meal descriptions. Near-meal PPG carries a meal-specific signal beyond individual traits; predictability decreases farther from meals. This transfers to dietary tasks: PPG increases AUC by 11% for a caloric-intake proxy and satiety across held-out and independent cohorts. Wearable PPG may augment text-based logging, compensating for brief descriptions.
Source: npj Digital Medicine
Authors: Kyle Verrier, Achille Nazaret, Joseph Futoma, Andrew C. Miller, Guillermo Sapiro
Institutions: Apple (United States), Princeton University
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $4,090
OpenAlex ID: W4417530800