SugarMate: Non-intrusive blood glucose monitoring with smartphones

• Main Authors: GU, Weixi, ZHOU, Yuxun, ZHOU, Zimu, LIU, Xi, ZOU, Han, ZHANG, Pei, SPANOS, Costas J., ZHANG, Lin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Human-centered computing; Smartphones; Computing methodologies; Machine learning; Computer and Systems Architecture; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/4507; https://ink.library.smu.edu.sg/context/sis_research/article/5510/viewcontent/ubicomp17_gu.pdf
• Institution: Singapore Management University

Inferring abnormal glucose events such as hyperglycemia and hypoglycemia is crucial for the health of both diabetic patients and non-diabetic people. However, regular blood glucose monitoring can be invasive and inconvenient in everyday life. We present SugarMate, a first smartphone-based blood gluc...