This study aimed to determine the feasibility and effectiveness of wearable devices in detecting early physiological changes prior to the development of prediabetes [1-3]. The study generated digital
AIMS To assess the differences in key parameters of type 1 diabetes (T1D) control associated with treatment and monitoring modalities including newly introduced hybrid closed-loop (HCL) algorithm in c
This dataset consists of absorbance and PPG signals at 625 nm, 850 nm, and 940 nm detected from the index finger of the subjects’ left hands, and the corresponding reference blood glucose values. Ther