Consumer Wearable Devices for Health Surveillance and Disease Monitoring. - Jessilyn Dunn; Xiao Li; Denis Salins; Michael Snyder 001 (CRI, 2017)

Estimating Personal Resting Heart Rate from Wearable Biosensor Data. - Chentian Jiang; Lida Faroqi; Latha Palaniappan; Jessilyn Dunn (BHI, 2019)

Investigating sources of inaccuracy in wearable optical heart rate sensors. - Brinnae Bent; Benjamin Goldstein; Warren A. Kibbe; Jessilyn Dunn (npj Digit. Medicine, 2020)

Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs). - Jennifer C. Goldsack; Andrea R. Coravos; Jessie P. Bakker; Brinnae Bent; Ariel V. Dowling; Cheryl J. Fitzer-Attas; Alan Godfrey; Job G. Godino; Ninad Gujar; Elena S. Izmailova; Christine Manta; Barry Peterson; et al. (npj Digit. Medicine, 2020)

EventDTW: An Improved Dynamic Time Warping Algorithm for Aligning Biomedical Signals of Nonuniform Sampling Frequencies. - Yihang Jiang; Yuankai Qi; Will Ke Wang; Brinnae Bent; Robert Avram; Jeffrey E. Olgin; Jessilyn Dunn (Sensors, 2020)

Multi-Modal Data Science for Healthcare: State of the Art, Challenges, and Opportunities. - Yuan Luo 001; Fei Wang 001; Benjamin S. Glicksberg; Jessilyn Dunn; Nigam Shah (AMIA, 2021)

Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches. - Brinnae Bent; Peter J. Cho; Maria Henriquez; April Wittmann; Connie Thacker; Mark Feinglos; Matthew J. Crowley; Jessilyn Dunn (npj Digit. Medicine, 2021)

Reply: Matters Arising 'Investigating sources of inaccuracy in wearable optical heart rate sensors'. - Brinnae Bent; Oana M. Enache; Benjamin Goldstein; Warren A. Kibbe; Jessilyn Dunn (npj Digit. Medicine, 2021)

Biosignal Compression Toolbox for Digital Biomarker Discovery. - Brinnae Bent; Baiying Lu; Juseong Kim; Jessilyn Dunn (Sensors, 2021)

Assessment of Ownership of Smart Devices and the Acceptability of Digital Health Data Sharing among Duke Patients. - Md Mobashir Hasan Shandhi; Natasha Janson; Geetika Singh; Baiying Lu; Jennifer Maddocks; Jessilyn Dunn (AMIA, 2022)

Enhancing Continuous Glucose Monitoring-based Eating Detection with Wearable Biomarkers. - Sorush Omidvar; Ali R. Roghanizad; Lucy Chikwetu; Garrett Ash; Jessilyn Dunn; Bobak J. Mortazavi (BHI, 2022)

Risk-Averse Multi-Armed Bandits with Unobserved Confounders: A Case Study in Emotion Regulation in Mobile Health. - Yi Shen 011; Jessilyn Dunn; Michael M. Zavlanos (CDC, 2022)

Environmental, User, and Social Context-Aware Augmented Reality for Supporting Personal Development and Change. - Timothy James Scargill; Ying Chen; Sangjun Eom; Jessilyn Dunn; Maria Gorlatova (VR Workshops, 2022)

A method for intelligent allocation of diagnostic testing by leveraging data from commercial wearable devices: a case study on COVID-19. - Md Mobashir Hasan Shandhi; Peter J. Cho; Ali R. Roghanizad; Karnika Singh; Will Ke Wang; Oana M. Enache; Amanda Stern; Rami Sbahi; Bilge Tatar; Sean Fiscus; Qi Xuan Khoo; Yvonne Kuo; et al. (npj Digit. Medicine, 2022)

A Systematic Review of Time Series Classification Techniques Used in Biomedical Applications. - Will Ke Wang; Ina Chen; Leeor Hershkovich; Jiamu Yang; Ayush Shetty; Geetika Singh; Yihang Jiang; Aditya Kotla; Jason Zisheng Shang; Rushil Yerrabelli; Ali R. Roghanizad; Md Mobashir Hasan Shandhi; et al. (Sensors, 2022)

Neurological Outcome Prediction After Cardiac Arrest: A Multi-Level Deep Learning Approach with Feature and Decision Fusion. - Bill Chen; Jiamu Yang; Ke W. Wang; Hayoung Jeong; Perisa Ashar; Leeor Hershkovich; Md Mobashir Hasan Shandhi; Jessilyn P. Dunn (CinC, 2023)

Investigation of Thermal Perception and Emotional Response in Augmented Reality using Digital Biomarkers: A Pilot Study. - Sangjun Eom; Seijung Kim; Yihang Jiang; Ryan Jay Chen; Ali R. Roghanizad; M. Zachary Rosenthal; Jessilyn Dunn; Maria Gorlatova (VR Workshops, 2023)

Addressing Wearable Sleep Tracking Inequity: A New Dataset and Novel Methods for a Population with Sleep Disorders. - Will Ke Wang; Jiamu Yang; Leeor Hershkovich; Hayoung Jeong; Bill Chen; Karnika Singh; Ali R. Roghanizad; Md Mobashir Hasan Shandhi; Andrew R. Spector; Jessilyn Dunn (CHIL, 2024)

Building an open-source community to enhance autonomic nervous system signal analysis: DBDP-autonomic. - Jessilyn Dunn; Varun Mishra 001; Md Mobashir Hasan Shandhi; Hayoung Jeong; Natasha Yamane; Yuna Watanabe; Bill Chen; Matthew S. Goodwin (Frontiers Digit. Health, 2024)

Advancing digital sensing in mental health research. - Samir Akre; Darsol Seok; Christopher Douglas; Adrián Aguilera; Simona Carini; Jessilyn Dunn; Matthew Hotopf; David C. Mohr; Alex A. T. Bui; Nelson B. Freimer (npj Digit. Medicine, 2024)

Assessment of ownership of smart devices and the acceptability of digital health data sharing. - Md Mobashir Hasan Shandhi; Karnika Singh; Natasha Janson; Perisa Ashar; Geetika Singh; Baiying Lu; D. Sunshine Hillygus; Jennifer Maddocks; Jessilyn P. Dunn (npj Digit. Medicine, 2024)

Physical activity and sleep changes among children during the COVID-19 pandemic. - Karnika Singh; Sarah C. Armstrong; Brooke E. Wagner; Julie Counts; Asheley Skinner; Melissa Kay; Jennifer S. Li; Svati Shah; Nancy Zucker; Cody Neshteruk; Mary Story; Lilianna Suarez; et al. (npj Digit. Medicine, 2024)

WatchSleepNet: A Novel Model and Pretraining Approach for Advancing Sleep Staging with Smartwatches. - Will Ke Wang; Bill Chen; Jiamu Yang; Hayoung Jeong; Leeor Hershkovich; Shekh Md Mahmudul Islam; Mengde Liu; Ali R. Roghanizad; Md Mobashir Hasan Shandhi; Andrew R. Spector; Jessilyn Dunn (CHIL, 2025)

Data from the All of Us research program reinforces existence of activity inequality. - Hayoung Jeong; Ali R. Roghanizad; Hiral Master; Juseong Kim; Aymone Kouame; Paul A. Harris; Melissa A. Basford; Kayla Marginean; Jessilyn Dunn (npj Digit. Medicine, 2025)