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[HTML][HTML] Non-invasive glucose sensing technologies and products: a comprehensive review for researchers and clinicians
Diabetes Mellitus incidence and its negative outcomes have dramatically increased
worldwide and are expected to further increase in the future due to a combination of …
worldwide and are expected to further increase in the future due to a combination of …
Sense and learn: recent advances in wearable sensing and machine learning for blood glucose monitoring and trend-detection
Diabetes mellitus is characterized by elevated blood glucose levels, however patients with
diabetes may also develop hypoglycemia due to treatment. There is an increasing demand …
diabetes may also develop hypoglycemia due to treatment. There is an increasing demand …
[HTML][HTML] Survey of transfer learning approaches in the machine learning of digital health sensing data
Machine learning and digital health sensing data have led to numerous research
achievements aimed at improving digital health technology. However, using machine …
achievements aimed at improving digital health technology. However, using machine …
An in-ear PPG-based blood glucose monitor: A proof-of-concept study
Monitoring diabetes saves lives. To this end, we introduce a novel, unobtrusive, and readily
deployable in-ear device for the continuous and non-invasive measurement of blood …
deployable in-ear device for the continuous and non-invasive measurement of blood …
[HTML][HTML] Diabetes detection and management through photoplethysmographic and electrocardiographic signals analysis: A systematic review
(1) Background: Diabetes mellitus (DM) is a chronic, metabolic disease characterized by
elevated levels of blood glucose. Recently, some studies approached the diabetes care …
elevated levels of blood glucose. Recently, some studies approached the diabetes care …
[HTML][HTML] Application of machine learning models for early detection and accurate classification of type 2 diabetes
Early detection of diabetes is essential to prevent serious complications in patients. The
purpose of this work is to detect and classify type 2 diabetes in patients using machine …
purpose of this work is to detect and classify type 2 diabetes in patients using machine …
An explainable artificial intelligence software system for predicting diabetes
Implementing diabetes surveillance systems is paramount to mitigate the risk of incurring
substantial medical expenses. Currently, blood glucose is measured by minimally invasive …
substantial medical expenses. Currently, blood glucose is measured by minimally invasive …
Development of a Flexible Smart Wearable Oximeter Insole for Monitoring SpO2 Levels of Diabetics' Foot Ulcer
This work presents the development of a fully functional prototype of a wearable smart shoe
insole that can monitor arterial oxygen saturation (SpO 2) levels at the foot of a diabetic …
insole that can monitor arterial oxygen saturation (SpO 2) levels at the foot of a diabetic …
A review of minimally and non-invasive glucose monitoring techniques, devices and sensors
M Nooshnab, SM Naghib… - Current Analytical …, 2024 - benthamdirect.com
Glucose determination, without pain and aches, is essential for biomedical applications.
Minimally invasive (MI) and non-invasive (NI) are the approaches that could address these …
Minimally invasive (MI) and non-invasive (NI) are the approaches that could address these …
Nanoparticles with SGLT2 inhibitory activity: Possible benefits and future
Aim Nano-drug delivery is a rapidly growing approach in medicine that helps design and
develop newer forms of drugs with more efficacy and lower adverse effects. Sodium-glucose …
develop newer forms of drugs with more efficacy and lower adverse effects. Sodium-glucose …