Scholars@Duke
Jessilyn Dunn

Jessilyn Dunn

Theodore Kennedy Associate Professor of Biomedical Engineering
Biomedical Engineering
534 Research Dr, Durham, NC 27705
ORCID iDhttps://orcid.org/0000-0002-3241-8183
534 Research Dr, Durham, NC 27708

Scholarly Works - Preprints

Should We Keep Changing the Clock? Characterizing Causal Effects of Daylight Saving Time on Behavior and Physiology.

Preprint · March 8, 2026 Daylight Saving Time (DST) remains contentious: some policymakers highlight behavioral benefits, while others emphasize health risks. Existing evidence relies largely on aggregated data and strict modeling assumptions, obscuring individual-level patterns a ... Full text Link to item Cite

Unmasking Hidden Dysglycemia: A Mobile OGTT Approach Using Continuous Glucose Monitors

Preprint · December 15, 2025 AbstractPrediabetes (PD), which includes impaired glucose tolerance (IGT) and impaired fasting glucose (IFG), is a dysfunctional metabolic state that often progresses to type 2 diabetes (T2D). Standard scre ... Full text Cite

Defining the Habitome: Phenotypes of Routine and Their Relationship to Health Outcomes

Preprint · 2025 AbstractHuman health is deeply interconnected with behaviors that are dictated by daily routines, including activities such as sleep, physical activity, and dietary habits. Wearable technologies like smartwatches provide continuous, rea ... Full text Cite

Performance of Wearable Pulse Oximetry During Controlled Hypoxia Induction

Preprint · 2024 Oxygen saturation is a crucial metric used for monitoring patients with lung disease or other conditions who are at risk of hypoxemia. Recently, consumer wearable devices began incorporating oxygen saturation measurement tools, widening their use among ind ... Full text Cite

Physical activity and sleep changes among children with obesity during a period of school closures related to the COVID-19 pandemic.

Preprint · September 13, 2023 UNLABELLED: Daily routines, including in-person school and extracurricular activities, are important for maintaining healthy physical activity and sleep habits in children. The COVID-19 pandemic significantly disrupted daily routines as in-person school an ... Full text Link to item Cite

Stepping Up for All of Us: Data from the All of Us Research Program Reinforces Existence of Activity Inequality in the United States

Preprint · 2023 AbstractData from digital health technologies can provide insights into a population’s daily activity levels and behaviors. Using Fitbit wearable data from 7,431 participants enrolled in the All of Us Research Program, ... Full text Cite

Considerations while using Fitbit Data in the All of Us Research Program: Tutorial (Preprint)

Preprint · December 16, 2022 UNSTRUCTUREDBackground: Wearable biometric monitoring technologies (BioMeTs) have become increasingly popular in recent years, especially as BioMeTs have been improving, offering more ca ... Full text Cite

An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study (Preprint)

Preprint · October 21, 2022 BACKGROUNDMeasuring the amount of physical activity and its patterns using wearable sensor technology in real-world settings can provide critical insights into health status. ... Full text Cite

A Systematic Review of Time Series Classification Techniques Used in Biomedical Applications

Preprint · 2022 Background: Digital clinical measures collected via various digital sensing technologies such as smartphones, smartwatches, wearables, ingestible, and implantable are increasingly used by individuals and clinicians to capture health outcomes or b ... Full text Cite

Demographic Imbalances Resulting From the Bring-Your-Own-Device Study Design (Preprint)

Preprint · April 23, 2021 UNSTRUCTUREDDigital health technologies, such as smartphones and wearable devices, promise to revolutionize disease prevention, detection, and treatment. Recently, there has been a surge ... Full text Cite

Recent Academic Research on Clinically Relevant Digital Measures: Systematic Review (Preprint)

Preprint · April 23, 2021 BACKGROUNDDigital clinical measures collected via various digital sensing technologies such as smartphones, smartwatches, wearables, ingestibles, and implantables are increasingly used by ... Full text Cite