[HTML][HTML] Non-invasive glucose sensing technologies and products: a comprehensive review for researchers and clinicians

D Di Filippo, FN Sunstrum, JU Khan, AW Welsh - Sensors, 2023 - mdpi.com
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 …

Sense and learn: recent advances in wearable sensing and machine learning for blood glucose monitoring and trend-detection

AY Alhaddad, H Aly, H Gad, A Al-Ali… - … in Bioengineering and …, 2022 - frontiersin.org
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 …

[HTML][HTML] Survey of transfer learning approaches in the machine learning of digital health sensing data

L Chato, E Regentova - Journal of personalized medicine, 2023 - mdpi.com
Machine learning and digital health sensing data have led to numerous research
achievements aimed at improving digital health technology. However, using machine …

An in-ear PPG-based blood glucose monitor: A proof-of-concept study

G Hammour, DP Mandic - Sensors, 2023 - mdpi.com
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 …

[HTML][HTML] Diabetes detection and management through photoplethysmographic and electrocardiographic signals analysis: A systematic review

S Zanelli, M Ammi, M Hallab, MA El Yacoubi - Sensors, 2022 - mdpi.com
(1) Background: Diabetes mellitus (DM) is a chronic, metabolic disease characterized by
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

O Iparraguirre-Villanueva, K Espinola-Linares… - Diagnostics, 2023 - mdpi.com
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 …

An explainable artificial intelligence software system for predicting diabetes

PN Srinivasu, S Ahmed, M Hassaballah, N Almusallam - Heliyon, 2024 - cell.com
Implementing diabetes surveillance systems is paramount to mitigate the risk of incurring
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

M Panahi, S Masihi, AJ Hanson… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
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 …

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 …

Nanoparticles with SGLT2 inhibitory activity: Possible benefits and future

H Yaribeygi, M Maleki, T Jamialahmadi… - Diabetes & Metabolic …, 2023 - Elsevier
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 …