PhD Forum Abstract: Non-intrusive Blood Glucose Monitor by Multi-task Deep Learning

Blood glucose concentration plays an important role in personal health. Hyperglycemia results in diabetes, leading to health risks such as pancreatic function failure, immunity reduce and ocular fundus diseases [6]. Meanwhile, hypoglycemia also brings complications such as confusion, shakiness, anxiety, and if not treated in time, coma or death [2]. People with diabetes need tight control of their blood glucose concentration to avoid both short-term and longterm physiological complications. In this work, we design BGMonitor, the first personalized smartphone-based non-invasive blood glucose monitoring system that detects abnormal blood glucose events by jointly tracking meal, drugs and insulin intake, physical activity and sleep quality. When BGMonitor detects an abnormal blood glucose event, it reminds the user to double-check by finger pricking or using clinical CGM devices.