Daylight saving time (DST) remains contentious: some policymakers highlight behavioural benefits, while others emphasize health risks. Here we estimated the behavioural and physiological impacts of DST using longitudinal Fitbit measures from the National Institutes of Health All of Us Research Program. Avoiding strict modelling assumptions, we used a natural difference-in-differences design with Arizona (no DST) as a…
As smart glasses become increasingly lightweight and suitable for all-day wearables, they show strong potential to serve as the next-generation mobile platforms that provide an AR interface bridging human experience and AI perception. However, a serious concern about its misuse has recently been reported [2] and has attracted public attention: smart glasses can be used…
This Viewpoint critically evaluates the impact of commodifying health data in the era of electronic health records and the ethical challenges this practice raises. Additionally, the Viewpoint explores the complex interplay between the advancement of health-care artificial intelligence (AI) and the imperative for transparency in data practices, scrutinising the insufficiency of existing regulations in addressing…
Dr. Shekh Md Mahmudul Islam, Ph.D., from BIG IDEAs Lab has been selected to receive the 2026 Postdoctoral Professional Development Award in support of his proposal to the IEEE International MTT Symposia (IMS) 2026, which will be held in Boston this June.
From offices to classrooms and clinics, Duke’s community is learning to work smarter with AI, while keeping humanity at the heart of innovation. This article features the Center’s Associate Director for Wearable Technology Jessilyn Dunn.
Low preoperative heart rate variability (HRV) is associated with adverse cardiovascular outcomes and delirium after geriatric surgery, but in-person testing is burdensome and impractical. To evaluate wrist-based wearables for remotely capturing preoperative outpatient and postoperative inpatient data for HRV analysis. RR-intervals were extracted, and data missingness was assessed for systematic differences. Delirium incidence was evaluated….
In a conversation with Physics World’s Margaret Harris, Center Director Amanda Randles explains how she uses physics-based, computationally intensive simulations to develop new ways to diagnose and treat human disease. She has also investigated how data from wearable devices such as smartwatches can be used identify signs of heart disease. Listen to the podcast
Advancements in medical wearable technology have improved the lives of millions of patients. To understand the research behind these life-saving devices, Vertices, a Duke student-run publication, spoke with Dr. Jessilyn Dunn, Associate Professor of Biomedical Engineering and principal investigator of the BIG IDEAs Lab at Duke University. Read the article
The Luck Lab developed an integrated data framework that links youth athletes’ reported activity and exposure with wearable head-impact kinematics to improve the ability to find, track, and treat mild traumatic brain injury.
Sleep monitoring is essential for assessing overall health and managing sleep disorders, yet clinical adoption of consumer wearables remains limited due to inconsistent performance and scarce open source datasets and transparent codebase. In this study, we introduce WatchSleepNet, a novel, open-source three-stage sleep staging algorithm. The model uses sequence-to-sequence architecture integrating Residual Networks (ResNet), Temporal…