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As continuous glucose monitors (CGMs) are used increasingly by diabetic patients, new and intuitive tools are needed to help patients and their physicians use these streams of data to improve blood glucose management. In this paper, we…

Quantitative Methods · Quantitative Biology 2013-05-15 Edward Aboufadel

A device based on Polarization sensitive optical coherence tomography is developed to monitor blood glucose levels in human subjects. The device was initially tested with tissue phantom. The measurements with human subjects for various…

Biological Physics · Physics 2015-06-04 Jitendra Solanki , OM Prakash Choudhury , Pratima Sen , Joseph Thomas Andrews

Given the growing prevalence of diabetes, there has been significant interest in determining how diabetes affects instrumental daily functions, like driving. Complication of glucose control in diabetes includes hypoglycemic and…

The escalating prevalence of diabetes globally underscores the need for diabetes management. Recent research highlights the growing focus on digital biomarkers in diabetes management, with innovations in computational frameworks and…

Artificial Intelligence · Computer Science 2024-04-22 Ziyi Zhou , Ming Cheng , Xingjian Diao , Yanjun Cui , Xiangling Li

Diabetes mellitus is a global health crisis characterized by poor blood sugar regulation, impacting millions of people worldwide and leading to severe complications and mortality. Although Type 1 Diabetes Mellitus (T1DM) has a lower number…

Other Quantitative Biology · Quantitative Biology 2025-04-14 Rinrada Jadsadaphongphaibool , Dadi Bi , Christian D. Lorenz , Yansha Deng , Robert Schober

The paper describes the interaction design of a hand-held interface supporting the self-management of Type 1 diabetes. It addresses well-established clinical and human-computer interaction requirements. The design exploits three…

Computers and Society · Computer Science 2020-08-11 Robert Spence , Chukwuma Uduku , Kezhi Li , Nick Oliver , Pantelis Georgiou

Background and objective: Diabetes is one of the four leading causes of death worldwide, necessitating daily blood glucose monitoring. While sweat offers a promising non-invasive alternative for glucose monitoring, its application remains…

Quantitative Methods · Quantitative Biology 2024-12-05 Xiaoyu Yin , Elisabetta Peri , Eduard Pelssers , Jaap den Toonder , Lisa Klous , Hein Daanen , Massimo Mischi

Prediabetes is a common health condition that often goes undetected until it progresses to type 2 diabetes. Early identification of prediabetes is essential for timely intervention and prevention of complications. This research explores the…

Signal Processing · Electrical Eng. & Systems 2025-04-08 Dimitra Tatli , Vasileios Papapanagiotou , Aris Liakos , Apostolos Tsapas , Anastasios Delopoulos

The goal of this paper is to propose a new mathematical model for the combined effect of different treatments and lifestyles on the glucose-insulin dynamics of Type 2 diabetes (T2D) patients. The model gives the possibility to take into…

Systems and Control · Electrical Eng. & Systems 2023-01-11 Mohamad Al Ahdab , John Leth , Torben Knudsen , Peter Vestergaard , Henrik Clausen

People with type 1 diabetes (T1D) lack the ability to produce the insulin their bodies need. As a result, they must continually make decisions about how much insulin to self-administer to adequately control their blood glucose levels.…

Machine Learning · Computer Science 2020-09-22 Ian Fox , Joyce Lee , Rodica Pop-Busui , Jenna Wiens

While the Artificial Pancreas is effective in regulating the blood glucose in the safe range of 70-180 mg/dl in type 1 diabetic patients, the high intra-patient variability, as well as exogenous meal disturbances, poses a serious challenge.…

Systems and Control · Electrical Eng. & Systems 2022-06-30 Bhabani Shankar Dey , Anirudh Nath , Abhilash Patel , Indra Narayan Kar

A new approach for continuous and non-invasive monitoring of the glucose concentration in human epidermis has been suggested recently. This method is based on photoacoustic (PA) analysis of human interstitial fluid. The measurement can be…

Computational Physics · Physics 2015-07-21 Bernd Baumann , Marcus Wolff , Mark Teschner

Describing dynamic medical systems using machine learning is a challenging topic with a wide range of applications. In this work, the possibility of modeling the blood glucose level of diabetic patients purely on the basis of measured data…

Machine Learning · Computer Science 2023-03-10 David Jödicke , Daniel Parra , Gabriel Kronberger , Stephan Winkler

Noninvasive, non-contact and \textit{in vivo} monitoring of blood glucose is a long needed pathology tool for saving patients from recurring pain and hassle that can accompany conventional blood glucose testing methods. Optical coherence…

Biological Physics · Physics 2008-08-04 R Poddar , S R Sharma , P Sen , J T Andrews

The growing worldwide incidence of diabetes requires more effective approaches for managing blood glucose levels. Insulin delivery systems have advanced significantly, with artificial intelligence (AI) playing a key role in improving their…

Artificial Intelligence · Computer Science 2025-03-25 Maria Panagiotou , Knut Stroemmen , Lorenzo Brigato , Bastiaan E. de Galan , Stavroula Mougiakakou

In this paper, we study the problem of blood glucose forecasting and provide a deep personalized solution. Predicting blood glucose level in people with diabetes has significant value because health complications of abnormal glucose level…

Machine Learning · Computer Science 2021-09-08 Mohammadreza Armandpour , Brian Kidd , Yu Du , Jianhua Z. Huang

A composite, exponential relaxation function, modulated by a periodic component, was used to fit to an experimental time series of blood glucose levels. The 11 parameters function that allows for the detection of a possible rhythm…

Quantitative Methods · Quantitative Biology 2008-01-30 Baruch Vainas

Diabetes Mellitus is a metabolic disorder which may result in severe and potentially fatal complications if not well-treated and monitored. In this study, a quantitative analysis of the data collected using CGM (Continuous Glucose…

Quantitative Methods · Quantitative Biology 2023-08-15 Giulia Elena Aliffi , Giovanni Nastasi , Vittorio Romano , Dario Pitocco , Alessandro Rizzi , Elvin J. Moore , Andrea De Gaetano

Many people are affected by diabetes around the world. This disease may have type 1 and 2. Diabetes brings with it several complications including diabetic retinopathy, which is a disease that if not treated correctly can lead to…

Image and Video Processing · Electrical Eng. & Systems 2020-01-17 Gilberto Luis De Conto Junior

Diabetes mellitus is a common disease of human body caused by a group of metabolic disorders where the sugar levels over a prolonged period is very high. It affects different organs of the human body which thus harm a large number of the…

Machine Learning · Computer Science 2019-02-27 Md. Faisal Faruque , Asaduzzaman , Iqbal H. Sarker