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Close to half of the world population have smartphones, while a typical flagship smartphone today has been integrated with more than 20 smart components and sensors, making a smartphone a highly integrated platform that can potentially…

Image and Video Processing · Electrical Eng. & Systems 2020-10-21 Jinlong Zhu , Ni Zhao , Renjie Zhou

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

With the increasing use of smartphones in our daily lives, these devices have become capable of performing many complex tasks. Concerning the need for continuous monitoring of vital signs, especially for the elderly or those with certain…

Signal Processing · Electrical Eng. & Systems 2024-03-29 Taha Samavati , Mahdi Farvardin , Aboozar Ghaffari

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

Telemedicine and mobile health applications, especially during the quarantine imposed by the covid-19 pandemic, led to an increase on the need of transferring health monitor readings from patients to specialists. Considering that most home…

Computer Vision and Pattern Recognition · Computer Science 2022-10-05 Lucas P. Moreira

In the world today, diabetic complications are a major factor in the disease's high mortality rate. Diabetes mellitus has been a major source of concern for decades due to its global prevalence and the resulting rising costs to individuals,…

Medical Physics · Physics 2023-10-18 Umme Hafsa Momy

Multiple sclerosis (MS) affects the central nervous system with a wide range of symptoms. MS can, for example, cause pain, changes in mood and fatigue, and may impair a person's movement, speech and visual functions. Diagnosis of MS…

Computers and Society · Computer Science 2020-12-03 Patrick Schwab , Walter Karlen

The global rise in type 2 diabetes underscores the need for scalable and cost-effective screening methods. Current diagnosis requires biochemical assays, which are invasive and costly. Advances in consumer wearables have enabled early…

Consumer-grade smartwatches offer a new personalized health monitoring option for general consumers globally as cardiovascular diseases continue to prevail as the leading cause of global mortality. The development and validation of reliable…

Human-Computer Interaction · Computer Science 2025-12-04 Jathushan Kaetheeswaran , Boyi Ma , Ali Abedi , Milad Lankarany , Shehroz Khan

Continuous, ubiquitous monitoring through wearable sensors has the potential to collect useful information about users' context. Heart rate is an important physiologic measure used in a wide variety of applications, such as fitness tracking…

Machine Learning · Computer Science 2019-12-20 Nutta Homdee , Mehdi Boukhechba , Yixue W. Feng , Natalie Kramer , John Lach , Laura E. Barnes

Managing blood lipid levels is important for the treatment and prevention of diabetes, cardiovascular disease, and obesity. An easy-to-use, portable lipid blood test will accelerate more frequent testing by patients and at-risk populations.…

Quantitative Methods · Quantitative Biology 2018-04-23 Kyongsik Yun , Juhee Lee , Jaekyu Choi , In-Uk Song , Yong-An Chung

Objective digital data is scarce yet needed in many domains to enable research that can transform the standard of healthcare. While data from consumer-grade wearables and smartphones is more accessible, there is critical need for similar…

Computers and Society · Computer Science 2023-09-20 Temiloluwa Prioleau , Abigail Bartolome , Richard Comi , Catherine Stanger

Mobile phones and other electronic gadgets or devices have aided in collecting data without the need for data entry. This paper will specifically focus on Mobile health data. Mobile health data use mobile devices to gather clinical health…

Machine Learning · Computer Science 2023-04-27 Jonayet Miah , Muntasir Mamun , Md Minhazur Rahman , Md Ishtyaq Mahmud , Sabbir Ahmed , Md Hasan Bin Nasir

Parkinson's disease is a neurodegenerative disease that can affect a person's movement, speech, dexterity, and cognition. Clinicians primarily diagnose Parkinson's disease by performing a clinical assessment of symptoms. However,…

Neurons and Cognition · Quantitative Biology 2018-11-16 Patrick Schwab , Walter Karlen

We train and validate a semi-supervised, multi-task LSTM on 57,675 person-weeks of data from off-the-shelf wearable heart rate sensors, showing high accuracy at detecting multiple medical conditions, including diabetes (0.8451), high…

Personal health devices can enable continuous monitoring of health parameters. However, the benefit of these devices is often directly related to the frequency of use. Therefore, adherence to personal health devices is critical. This paper…

Computers and Society · Computer Science 2020-06-11 Sudip Vhaduri , Temiloluwa Prioleau

This work proposes a smartphone video-based approach for the estimation of blood glucose in a non-invasive way. Videos using smartphone camera are collected from the tip of the subjects finger and the frames are subsequently converted into…

Signal Processing · Electrical Eng. & Systems 2019-12-02 Tauseef Tasin Chowdhury , Tahmin Mishma , Md. Saeem Osman , Tanzilur Rahman

Diabetes is an epidemic disease of the 21st century and is growing globally. Although, final diabetes treatments and cure are still on research phase, related complications of diabetes endanger life of diabetic patients. Diabetic coma which…

Human-Computer Interaction · Computer Science 2016-08-15 Vahid Hosseini

Gestational diabetes (GDM) poses a growing health risk to both pregnant women and their offspring. While telehealth interventions for GDM management have proven effective, they have traditionally relied on healthcare professionals for…

Human-Computer Interaction · Computer Science 2023-09-20 Mikko Kytö , Saila Koivusalo , Heli Tuomonen , Lisbeth Strömberg , Antti Ruonala , Pekka Marttinen , Seppo Heinonen , Giulio Jacucci

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
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