Weixi Gu
ABSTRACT
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 long-term 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.
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- DCCT Research Group and others. 1991. Epidemiology of severe hypoglycemia in the Diabetes Control and Complications Trial. The American Journal of Medicine 90, 4 (1991), 450--459.Google ScholarCross Ref
- Weixi Gu, Ming Jin, Zimu Zhou, Costas J Spanos, and Lin Zhang. 2016. MetroEye: Smart Tracking Your Metro Trips Underground. In Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services. ACM, 84--93. Google ScholarDigital Library
- Weixi Gu, Longfei Shangguan, Zheng Yang, and Yunhao Liu. 2016. Sleep hunter: Towards fine grained sleep stage tracking with smartphones. IEEE Transactions on Mobile Computing 15, 6 (2016), 1514--1527.Google ScholarCross Ref
- Weixi Gu, Zheng Yang, Longfei Shangguan, Wei Sun, Kun Jin, and Yunhao Liu. 2014. Intelligent sleep stage mining service with smartphones. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 649--660. Google ScholarDigital Library
- Ronald Klein. 1995. Hyperglycemia and microvascular and macrovascular disease in diabetes. Diabetes Care 18, 2 (1995), 258--268.Google ScholarCross Ref
- Jennifer R Kwapisz, Gary M Weiss, and Samuel A Moore. 2011. Activity recognition using cell phone accelerometers. ACM SigKDD Explorations Newsletter 12, 2 (2011), 74--82. Google ScholarDigital Library
Index Terms
- Non-intrusive blood glucose monitor by multi-task deep learning: PhD forum abstract
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