Trends from Minimally Invasive to Non-invasive Glucose Measurements

被引:0
|
作者
Gusev, M. [1 ]
Poposka, L. [2 ]
Guseva, E. [3 ]
Kostoska, M. [1 ]
Koteska, B. [1 ]
Simjanoska, M. [1 ]
Ackovska, N. [1 ]
Stojmenski, A. [1 ]
机构
[1] Ss Cyril & Methodius Univ, Fac Comp Sci & Engn, Skopje, North Macedonia
[2] Ss Cyril & Methodius Univ, Univ Clin Cardiol, Skopje, North Macedonia
[3] Innovat Dooel, Skopje, North Macedonia
关键词
continuous glucose measurement; wearable devices; electrocardiogram; heart rate variability; machine learning; neural networks; IN-VIVO; BLOOD; SPECTROSCOPY; SENSORS;
D O I
10.23919/mipro48935.2020.9245402
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Approximately 7% of the elderly over 45 are diagnosed in several diabetes forms and it is believed that 3% of the population is undiagnosed. As the number of diabetes diagnoses has been increasing, so too has the technology for managing the disease. The traditional way of measuring glucose levels is to apply a blood drop to a chemically treated, disposable "test-strip" and insert it into an electronic device. In this study, we overview the latest technology for continuous glucose measurement, as they trend from minimally invasive to non-invasive glucose measurement methods.
引用
收藏
页码:315 / 320
页数:6
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