Jessilyn Dunn

Conference Proceedings International Symposium on Biomedical Imaging · January 1, 2026 Retinal vasculature provides insight into systemic body health. In this work, we characterize and illustrate the potential for early detection of type 2 diabetes mellitus (T2DM) using optical coherence tomography angiography (OCTA) images. Using the AI-REA ... Full text Cite

WatchSleepNet: A Novel Model and Pretraining Approach for Advancing Sleep Staging with Smartwatches

Conference Proceedings of Machine Learning Research · January 1, 2025 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 ... Cite

VitalWave: An End-to-End Open-Source High-Frequency Wearable Device and Data Collection Platform

Conference 2025 IEEE 21st International Conference on Body Sensor Networks IEEE Bsn 2025 · January 1, 2025 We present an initial prototype for VitalWave, a novel open-source end-to-end platform consisting of a wearable device and corresponding mobile/web application capable of capturing and visualizing high-frequency sensor data. The platform includes cloud-bas ... Full text Cite

Addressing wearable sleep tracking inequity: a new dataset and novel methods for a population with sleep disorders

Conference Proceedings of Machine Learning Research · January 1, 2024 Sleep is crucial for health, and recent advances in wearable technology and machine learning offer promising methods for monitoring sleep outside the clinical setting. However, sleep tracking using wearables is challenging, particularly for those with irre ... Cite

Session Introduction: Digital health technology data in biocomputing: Research efforts and considerations for expanding access.

Conference Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · January 2023 Data from digital health technologies (DHT), including wearable sensors like Apple Watch, Whoop, Oura Ring, and Fitbit, are increasingly being used in biomedical research. Research and development of DHT-related devices, platforms, and applications is happ ... Full text Cite

Investigation of Thermal Perception and Emotional Response in Augmented Reality using Digital Biomarkers: A Pilot Study

Conference Proceedings 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops Vrw 2023 · January 1, 2023 Dialectical behavior therapy (DBT) is an evidence-based psychotherapy that helps patients learn skills to regulate emotions as a central strategy to improve life functioning. However, DBT skills require a long-term and consistent commitment, typically to g ... Full text Cite

Neurological Outcome Prediction After Cardiac Arrest: A Multi-Level Deep Learning Approach with Feature and Decision Fusion

Conference Computing in Cardiology · January 1, 2023 Cardiac arrest leads to complex neurological outcomes, demanding accurate predictions to guide post-arrest care. Using the International Cardiac Arrest Research Consortium (I-CARE) dataset, we developed models to discern between 'good' and 'poor' neurologi ... Full text Cite

Digital biomarkers reflect stress reduction after Augmented Reality guided meditation: A feasibility study

Conference Digibiom 2022 Proceedings of the 2022 Emerging Devices for Digital Biomarkers · June 27, 2022 Meditation, a mental and physical exercise which helps to focus attention and reduce stress has gained more popularity in recent years. However, meditation requires a concerted effort and regular practice. To explore the feasibility of using Augmented Real ... Full text Cite

Environmental, User, and Social Context-Aware Augmented Reality for Supporting Personal Development and Change

Conference Proceedings 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops Vrw 2022 · January 1, 2022 Robust pervasive context-aware augmented reality (AR) has the potential to enable a range of applications that support users in reaching their personal and professional goals. In such applications, AR can be used to deliver richer, more immersive, and more ... Full text Cite

Enhancing Continuous Glucose Monitoring-based Eating Detection with Wearable Biomarkers

Conference Bhi Bsn 2022 IEEE EMBS International Conference on Biomedical and Health Informatics and IEEE EMBS International Conference on Wearable and Implantable Body Sensor Networks Symposium Proceedings · January 1, 2022 Proper diet monitoring is a cornerstone of preventing and treating Type 2 Diabetes. However, this usually relies on burdensome manual meal logging. Continuous glucose monitors (CGMs), which have recently gained popularity as a tool to help Type 2 Diabetics ... Full text Cite

Risk-Averse Multi-Armed Bandits with Unobserved Confounders: A Case Study in Emotion Regulation in Mobile Health

Conference Proceedings of the IEEE Conference on Decision and Control · January 1, 2022 In this paper, we consider a risk-averse multi-armed bandit (MAB) problem where the goal is to learn a policy that minimizes the risk of low expected return, as opposed to maximizing the expected return itself, which is the objective in the usual approach ... Full text Cite

Estimating personal resting heart rate from wearable biosensor data

Conference 2019 IEEE EMBS International Conference on Biomedical and Health Informatics Bhi 2019 Proceedings · May 1, 2019 To date, there has not been a comprehensive evaluation of how to best characterize resting heart rate (RHR), which varies over time and between individuals with different activity/rest habits. Current methods for obtaining RHR require hands-on clinical mea ... Full text Cite