Publications

2022

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.

2021

Grzesiak, Emilia, Brinnae Bent, Micah T. McClain, Christopher W. Woods, Ephraim L. Tsalik, Bradly P. Nicholson, Timothy Veldman, et al. “Assessment of the Feasibility of Using Noninvasive Wearable Biometric Monitoring Sensors to Detect Influenza and the Common Cold Before Symptom Onset.” JAMA Netw Open 4, no. 9 (September 1, 2021): e2128534. https://doi.org/10.1001/jamanetworkopen.2021.28534.

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.

Shandhi, Md Mobashir Hasan, Will Ke Wang, and Jessilyn Dunn. “Taking the time for our bodies: How wearables can be used to assess circadian physiology.” Cell Reports Methods 1, no. 4 (August 2021): 100067. https://doi.org/10.1016/j.crmeth.2021.100067.

Bent, Brinnae, Peter J. Cho, Maria Henriquez, April Wittmann, Connie Thacker, Mark Feinglos, Matthew J. Crowley, and Jessilyn P. Dunn. “Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches.” NPJ Digit Med 4, no. 1 (June 2, 2021): 89. https://doi.org/10.1038/s41746-021-00465-w.

Bent, Brinnae, Peter J. Cho, April Wittmann, Connie Thacker, Srikanth Muppidi, Michael Snyder, Matthew J. Crowley, Mark Feinglos, and Jessilyn P. Dunn. “Non-invasive wearables for remote monitoring of HbA1c and glucose variability: proof of concept.” BMJ Open Diabetes Res Care 9, no. 1 (June 2021). https://doi.org/10.1136/bmjdrc-2020-002027.

Dunn, Jessilyn, Lukasz Kidzinski, Ryan Runge, Daniel Witt, Jennifer L. Hicks, Sophia Miryam Schüssler-Fiorenza Rose, Xiao Li, et al. “Wearable sensors enable personalized predictions of clinical laboratory measurements.” Nature Medicine 27, no. 6 (June 2021): 1105–12. https://doi.org/10.1038/s41591-021-01339-0.

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 (Preprint).” JMIR Publications Inc., April 23, 2021. https://doi.org/10.2196/preprints.29510.

Bent, Brinnae, Oana M. Enache, Benjamin Goldstein, Warren Kibbe, and Jessilyn P. Dunn. “Reply: Matters Arising 'Investigating sources of inaccuracy in wearable optical heart rate sensors'.” NPJ Digit Med 4, no. 1 (February 26, 2021): 39. https://doi.org/10.1038/s41746-021-00409-4.

Bent, Brinnae, Ida Sim, and Jessilyn P. Dunn. “Digital Medicine Community Perspectives and Challenges: Survey Study.” JMIR MHealth and UHealth 9, no. 2 (February 2021): e24570. https://doi.org/10.2196/24570.

Bent, Brinnae, Baiying Lu, Juseong Kim, and Jessilyn P. Dunn. “Biosignal Compression Toolbox for Digital Biomarker Discovery.” Sensors (Basel, Switzerland) 21, no. 2 (January 2021): E516. https://doi.org/10.3390/s21020516.

Bent, Brinnae, Maria Henriquez, and Jessilyn Dunn. “Cgmquantify: Python and R Software Packages for Comprehensive Analysis of Interstitial Glucose and Glycemic Variability from Continuous Glucose Monitor Data.” IEEE Open Journal of Engineering in Medicine and Biology 2 (January 2021): 263–66. https://doi.org/10.1109/ojemb.2021.3105816.

2020

Bent, Brinnae, and Jessilyn P. Dunn. “Wearables in the SARS-CoV-2 Pandemic: What Are They Good for?” JMIR MHealth and UHealth 8, no. 12 (December 2020): e25137. https://doi.org/10.2196/25137.

Bent, Brinnae, and Jessilyn P. Dunn. “Wearables in the SARS-CoV-2 Pandemic: What Are They Good for? (Preprint),” October 19, 2020. https://doi.org/10.2196/preprints.25137.