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Accurately detecting hypoglycemia without invasive glucose sensors remains a critical challenge in diabetes management, particularly in regions where continuous glucose monitoring (CGM) is prohibitively expensive or clinically inaccessible.…

Human-Computer Interaction · Computer Science 2026-02-12 Lawrence Obiuwevwi , Krzysztof J. Rechowicz , Vikas Ashok , Sampath Jayarathna

A task of vital clinical importance, within Diabetes management, is the prevention of hypo/hyperglycemic events. Increasingly adopted Continuous Glucose Monitoring (CGM) devices offer detailed, non-intrusive and real time insights into a…

Machine Learning · Computer Science 2023-03-09 Jakub J. Dylag

Diabetes is a prevalent chronic condition that compromises the health of millions of people worldwide. Minimally invasive methods are needed to prevent and control diabetes but most devices for measuring glucose levels are invasive and not…

Every year, humanity loses about 1.5 million persons due to diabetic disease. Therefore continuous monitoring of diabetes is highly needed, but the conventional approach, i.e., fingertip pricking, causes mental and physical pain to the…

Signal Processing · Electrical Eng. & Systems 2024-11-19 Abdelrhman Y. Soliman , Ahmed M. Nor , Octavian Fratu , Simona Halunga , Osama A. Omer , Ahmed S. Mubark

The classification of diabetes and prediabetes by static glucose thresholds obscures the pathophysiological dysglycemia heterogeneity, primarily driven by insulin resistance (IR), beta-cell dysfunction, and incretin deficiency. This review…

Machine Learning · Computer Science 2025-11-07 Ahmed A. Metwally , Heyjun Park , Yue Wu , Tracey McLaughlin , Michael P. Snyder

Type 1 Diabetes (T1D) is an autoimmune disease leading to insulin insufficiency. Thus, patients require lifelong insulin therapy, which has a side effect of hypoglycemia. Hypoglycemia is a critical state of decreased blood glucose levels…

Machine Learning · Computer Science 2026-01-21 Beyza Cinar , Louisa van den Boom , Maria Maleshkova

In the U.S., over a third of adults are pre-diabetic, with 80\% unaware of their status. This underlines the need for better glucose monitoring to prevent type 2 diabetes and related heart diseases. Existing wearable glucose monitors are…

Signal Processing · Electrical Eng. & Systems 2024-06-26 Yidong Zhu , Nadia B Aimandi , Mohammad Arif Ul Alam

In the UK, approximately 400,000 people with type 1 diabetes (T1D) rely on insulin delivery due to insufficient pancreatic insulin production. Managing blood glucose (BG) levels is crucial, with continuous glucose monitoring (CGM) playing a…

Machine Learning · Computer Science 2023-12-21 Chengzhe Piao , Ken Li

Type 1 diabetes (T1D) management can be significantly enhanced through the use of predictive machine learning (ML) algorithms, which can mitigate the risk of adverse events like hypoglycemia. Hypoglycemia, characterized by blood glucose…

Quantitative Methods · Quantitative Biology 2025-04-02 Beyza Cinar , Jennifer Daniel Onwuchekwa , Maria Maleshkova

Blood glucose (BG) management is crucial for type-1 diabetes patients resulting in the necessity of reliable artificial pancreas or insulin infusion systems. In recent years, deep learning techniques have been utilized for a more accurate…

Machine Learning · Computer Science 2021-01-19 Md Fazle Rabby , Yazhou Tu , Md Imran Hossen , Insup Le , Anthony S Maida , Xiali Hei

This paper presents a novel approach to noninvasive hyperglycemia monitoring utilizing electrocardiograms (ECG) from an extensive database comprising 1119 subjects. Previous research on hyperglycemia or glucose detection using ECG has been…

Signal Processing · Electrical Eng. & Systems 2024-03-13 MohammadReza Hosseinzadehketilateh , Banafsheh Adami , Nima Karimian

Effective diabetes management relies heavily on the continuous monitoring of blood glucose levels, traditionally achieved through invasive and uncomfortable methods. While various non-invasive techniques have been explored, such as optical,…

Machine Learning · Computer Science 2024-08-16 Nihat Ahmadli , Mehmet Ali Sarsil , Onur Ergen

Diabetes is a serious chronic metabolic disease. In the recent years, more and more consumer technology enterprises focusing on human health are committed to implementing accurate and non-invasive blood glucose algorithm in their products.…

Machine Learning · Computer Science 2025-03-05 Yiting Wei , Bingo Wing-Kuen Ling , Qing Liu , Jiaxin Liu

Diabetes mellitus affects over 537 million adults worldwide and remains a major challenge in preventive healthcare. Existing machine-learning studies primarily formulate diabetes prediction as a binary classification problem, while…

Machine Learning · Computer Science 2026-05-14 Vishal Pandey , Ruzina Haque Laskar , Rishav Tewari

Type 1 Diabetes (T1D) affects millions worldwide, requiring continuous monitoring to prevent severe hypo- and hyperglycemic events. While continuous glucose monitoring has improved blood glucose management, deploying predictive models on…

Machine Learning · Computer Science 2025-11-27 Mirko Paolo Barbato , Giorgia Rigamonti , Davide Marelli , Paolo Napoletano

Managing Type 1 Diabetes (T1D) demands constant vigilance as individuals strive to regulate their blood glucose levels and avoid dysglycemia, including hyperglycemia and hypoglycemia. Despite advances in automated insulin delivery (AID)…

Machine Learning · Computer Science 2026-02-26 Saman Khamesian , Asiful Arefeen , Maria Adela Grando , Bithika M. Thompson , Hassan Ghasemzadeh

Type 1 Diabetes is a chronic autoimmune condition in which the immune system attacks and destroys insulin-producing beta cells in the pancreas, resulting in little to no insulin production. Insulin helps glucose in your blood enter your…

Quantitative Methods · Quantitative Biology 2025-02-04 Soon Jynn Chu , Nalaka Amarasiri , Sandesh Giri , Priyata Kafle

Diabetes mellitus is a complex group of syndromes that have in common a disturbance in the body's use of glucose, resulting in an elevated blood sugar. Once detected, sugar diabetes can be controlled by an appropriate regimen that should…

Medical Physics · Physics 2008-11-03 Raju Poddar , Joseph Thomas Andrews , Pratyoosh Shukla , Pratima Sen

Continuous Blood Glucose (CGM) monitors have revolutionized the ability of diabetics to manage their blood glucose, and paved the way for artificial pancreas systems. In this paper we augment CGM data with sensor input collected by a smart…

Human-Computer Interaction · Computer Science 2023-02-06 Sam Royston

Research in diabetes, especially when it comes to building data-driven models to forecast future glucose values, is hindered by the sensitive nature of the data. Because researchers do not share the same data between studies, progress is…

Quantitative Methods · Quantitative Biology 2020-09-10 Maxime De Bois , Mounîm A. El Yacoubi , Mehdi Ammi
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