Glucose sensing by means of silicon photonics [PDF]
Diabetes is a fast growing metabolic disease, where the patients suffer from disordered glucose blood levels. Monitoring the blood glucose values in combination with extra insulin injection is currently the only therapy to keep the glucose concentration ...
Baets, Roel +9 more
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Machine Learning and Smart Devices for Diabetes Management: Systematic Review
(1) Background: The use of smart devices to better manage diabetes has increased significantly in recent years. These technologies have been introduced in order to make life easier for patients with diabetes by allowing better control of the stability of
Mohammed Amine Makroum +3 more
doaj +1 more source
Optical based noninvasive glucose monitoring sensor prototype [PDF]
Diabetes mellitus claims millions of lives every year. It affects the body in various ways by leading to many serious illnesses and premature mortality. Heart and kidney diseases, which are caused by diabetes, are increasing at an alarming rate.
Haxha, Shyqyri, Jhoja, Jaspreet
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IntroductionType 2 diabetes mellitus (T2DM) is a metabolic disorder due to defects in insulin secretion or insulin resistance leading to the dysfunction and damage of various organs.
Yu-Shan Hsieh +8 more
doaj +1 more source
Are glucose profiles well-controlled within the targets recommended by the International Diabetes Federation in type 2 diabetes? A meta-analysis of results from continuous glucose monitoring based studies [PDF]
AIMS: To assess continuous glucose monitoring (CGM) derived intra-day glucose profiles using global guideline for type 2 diabetes recommended by the International Diabetes Federation (IDF).
Chastin, Sebastien F.M. +4 more
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Can fMRI help optimise lifestyle behaviour change feedback from wearable technologies?
Background Non-communicable diseases (NCDs) place severe financial strain on global health resources. Diabetes mellitus, the second most prevalent NCD, has been attributed to 8.4% of deaths worldwide for adults aged 20-79 years (International Diabetes ...
Maxine Whelan, Emily Knox
doaj +1 more source
Glucometer Usability for 65+ Type 2 Diabetes Patients: Insights on Physical and Cognitive Issues
Background: Self-monitoring of blood glucose (SMBG) is of paramount relevance for type 2 diabetes mellitus (T2DM) patients. However, past evidence shows that there are physical and cognitive issues that might limit the usage of glucometers by T2DM ...
Maria Pinelli +6 more
doaj +1 more source
Artificial neural network algorithm for online glucose prediction from continuous glucose monitoring. [PDF]
Background and Aims: Continuous glucose monitoring (CGM) devices could be useful for real-time management of diabetes therapy. In particular, CGM information could be used in real time to predict future glucose levels in order to prevent hypo ...
A. de Leiva +11 more
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Real-time continuous glucose monitoring (RT-CGM) has the potential to revolutionise the care and treatment of individuals with type 1 diabetes (T1D). During the past three years, several devices to measure the interstitial fluid intermittently or continuously have been developed and approved as an adjunct to blood glucose monitoring for use in ...
B W, Bode, T, Battelino
openaire +2 more sources
A Diabetes Management Information System with Glucose Prediction
Diabetes has become a serious health concern. The use and popularization of blood glucose measurement devices have led to a tremendous increase on health for diabetics. Tracking and maintaining traceability between glucose measurements, insulin doses and
Cláudio Augusto Silveira Lélis +1 more
doaj +1 more source

