Publications

Sheikh, Abu Baker, Paul A. Sobotka, Ishan Garg, Jessilyn P. Dunn, Abdul Mannan Khan Minhas, Md Mobashir Hasan Shandhi, Jeroen Molinger, Barry J. McDonnell, and Marat Fudim. “Blood Pressure Variability in Clinical Practice: Past, Present and the Future.” J Am Heart Assoc 12, no. 9 (May 2, 2023): e029297. https://doi.org/10.1161/JAHA.122.029297.

Chikwetu, Lucy, Shaundra Daily, Bobak J. Mortazavi, and Jessilyn Dunn. “Automated Diet Capture Using Voice Alerts and Speech Recognition on Smartphones: Pilot Usability and Acceptability Study.” JMIR Formative Research 7 (May 2023): e46659. https://doi.org/10.2196/46659.

Chikwetu, Lucy, Yu Miao, Melat K. Woldetensae, Diarra Bell, Daniel M. Goldenholz, and Jessilyn Dunn. “Does deidentification of data from wearable devices give us a false sense of security? A systematic review.” The Lancet. Digital Health 5, no. 4 (April 2023): e239–47. https://doi.org/10.1016/s2589-7500(22)00234-5.

Ke Wang, Will, Lucia Cesnakova, Jennifer C. Goldsack, and Jessilyn Dunn. “Defining the Digital Measurement of Scratching During Sleep or Nocturnal Scratching: Review of the Literature.” Journal of Medical Internet Research 25 (April 2023): e43617. https://doi.org/10.2196/43617.

Popham, Sara, Maximilien Burq, Erin E. Rainaldi, Sooyoon Shin, Jessilyn Dunn, and Ritu Kapur. “An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study.” JMIR Biomedical Engineering 8 (March 2023): e43726. https://doi.org/10.2196/43726.

Hughes, Andrew, Md Mobashir Hasan Shandhi, Hiral Master, Jessilyn Dunn, and Evan Brittain. “Wearable Devices in Cardiovascular Medicine.” Circulation Research 132, no. 5 (March 2023): 652–70. https://doi.org/10.1161/circresaha.122.322389.

Holko, Michelle, Chris Lunt, and Jessilyn Dunn. “Session Introduction: Digital health technology data in biocomputing: Research efforts and considerations for expanding access.” In Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 28:1–6, 2023.

Eom, S., S. Kim, Y. Jiang, R. J. Chen, A. R. Roghanizad, M. Z. Rosenthal, J. Dunn, and M. Gorlatova. “Investigation of Thermal Perception and Emotional Response in Augmented Reality using Digital Biomarkers: A Pilot Study.” In Proceedings 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops Vrw 2023, 170–73, 2023. https://doi.org/10.1109/VRW58643.2023.00042.

Erickson, Melissa L., Rebecca North, Julie Counts, Will Wang, Kathryn N. Porter Starr, Laurie Wideman, Carl Pieper, Jessilyn Dunn, and William E. Kraus. “Nightshift imposes irregular lifestyle behaviors in police academy trainees.” Sleep Adv 4, no. 1 (2023): zpad038. https://doi.org/10.1093/sleepadvances/zpad038.

Chen, B., J. Yang, K. W. Wang, H. Jeong, P. Ashar, L. Hershkovich, M. M. H. Shandhi, and J. P. Dunn. “Neurological Outcome Prediction After Cardiac Arrest: A Multi-Level Deep Learning Approach with Feature and Decision Fusion.” In Computing in Cardiology, 2023. https://doi.org/10.22489/CinC.2023.434.

Lederer, Lauren, Amanda Breton, Hayoung Jeong, Hiral Master, Ali R. Roghanizad, and Jessilyn Dunn. “Considerations while using Fitbit Data in the All of Us Research Program: Tutorial (Preprint).” JMIR Publications Inc., December 16, 2022. https://doi.org/10.2196/preprints.45103.

Shandhi, Md Mobashir Hasan, and Jessilyn P. Dunn. “AI in medicine: Where are we now and where are we going?” Cell Reports. Medicine 3, no. 12 (December 2022): 100861. https://doi.org/10.1016/j.xcrm.2022.100861.

Popham, Sara, Maximilien Burq, Erin E. Rainaldi, Sooyoon Shin, Jessilyn Dunn, and Ritu Kapur. “An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study (Preprint).” JMIR Publications Inc., October 21, 2022. https://doi.org/10.2196/preprints.43726.

Ke Wang, Will, Lucia Cesnakova, Jennifer C. Goldsack, and Jessilyn Dunn. “Defining the Digital Measurement of Scratching During Sleep or Nocturnal Scratching: Review of the Literature (Preprint).” JMIR Publications Inc., October 18, 2022. https://doi.org/10.2196/preprints.43617.

Wang, Will Ke, Ina Chen, Leeor Hershkovich, Jiamu Yang, Ayush Shetty, Geetika Singh, Yihang Jiang, et al. “A Systematic Review of Time Series Classification Techniques Used in Biomedical Applications.” Sensors (Basel, Switzerland) 22, no. 20 (October 2022): 8016. https://doi.org/10.3390/s22208016.

Shandhi, Md Mobashir Hasan, Peter J. Cho, Ali R. Roghanizad, Karnika Singh, Will Wang, Oana M. Enache, Amanda Stern, et al. “A method for intelligent allocation of diagnostic testing by leveraging data from commercial wearable devices: a case study on COVID-19.” NPJ Digit Med 5, no. 1 (September 1, 2022): 130. https://doi.org/10.1038/s41746-022-00672-z.

Jiang, Y., W. Wang, T. Scargill, M. Rothman, J. Dunn, and M. Gorlatova. “Digital biomarkers reflect stress reduction after Augmented Reality guided meditation: A feasibility study.” In Digibiom 2022 Proceedings of the 2022 Emerging Devices for Digital Biomarkers, 29–34, 2022. https://doi.org/10.1145/3539494.3542754.

Goergen, Craig J., MacKenzie J. Tweardy, Steven R. Steinhubl, Stephan W. Wegerich, Karnika Singh, Rebecca J. Mieloszyk, and Jessilyn Dunn. Detection and Monitoring of Viral Infections via Wearable Devices and Biometric Data. Vol. 24, 2022. https://doi.org/10.1146/annurev-bioeng-103020-040136.

Erickson, Melissa L., Will Wang, Julie Counts, Leanne M. Redman, Daniel Parker, Janet L. Huebner, Jessilyn Dunn, and William E. Kraus. “Field-Based Assessments of Behavioral Patterns During Shiftwork in Police Academy Trainees Using Wearable Technology.” J Biol Rhythms 37, no. 3 (June 2022): 260–71. https://doi.org/10.1177/07487304221087068.

Cho, Peter Jaeho, Jaehan Yi, Ethan Ho, Md Mobashir Hasan Shandhi, Yen Dinh, Aneesh Patil, Leatrice Martin, et al. “Demographic Imbalances Resulting From the Bring-Your-Own-Device Study Design.” JMIR Mhealth Uhealth 10, no. 4 (April 8, 2022): e29510. https://doi.org/10.2196/29510.

Dunn, Jessilyn, Mobashir Hasan Shandhi, Peter Cho, Ali Roghanizad, Karnika Singh, Will Wang, Oana Enache, et al. “A Method for Intelligent Allocation of Diagnostic Testing by Leveraging Data from Commercial Wearable Devices: A Case Study on COVID-19.” Res Sq, April 1, 2022. https://doi.org/10.21203/rs.3.rs-1490524/v1.

Omidvar, S., A. R. Roghanizad, L. Chikwetu, G. Ash, J. Dunn, and B. J. Mortazavi. “Enhancing Continuous Glucose Monitoring-based Eating Detection with Wearable Biomarkers.” In 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, 2022. https://doi.org/10.1109/BHI56158.2022.9926964.

Scargill, T., Y. Chen, S. Eom, J. Dunn, and M. Gorlatova. “Environmental, User, and Social Context-Aware Augmented Reality for Supporting Personal Development and Change.” In Proceedings 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops Vrw 2022, 155–62, 2022. https://doi.org/10.1109/VRW55335.2022.00042.

Shen, Y., J. Dunn, and M. M. Zavlanos. “Risk-Averse Multi-Armed Bandits with Unobserved Confounders: A Case Study in Emotion Regulation in Mobile Health.” In Proceedings of the IEEE Conference on Decision and Control, 2022-December:144–49, 2022. https://doi.org/10.1109/CDC51059.2022.9992917.

Shandhi, Md Mobashir Hasan, Jennifer C. Goldsack, Kyle Ryan, Alexandra Bennion, Aditya V. Kotla, Alina Feng, Yihang Jiang, et al. “Recent Academic Research on Clinically Relevant Digital Measures: Systematic Review.” Journal of Medical Internet Research 23, no. 9 (September 2021): e29875. https://doi.org/10.2196/29875.