Data from: Personalized Machine Learning Models for Noninvasive Hypoglycemia Detection in People with Type 1 Diabetes Using a Smartwatch

This dataset was collected from 11 adults with type 1 diabetes. Participants wore an Apple Watch and a CGM for 10 days and carried out their normal daily activities. Each dataset contains the data from one participant and consists of the physiological and motion data collected from the Apple Watch, the CGM readings, alongside information about mealtimes and insulin usage (when available). Additionally, they contain the engineered features used in modeling.