Publications

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.

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.

Bent, Brinnae, Ida Sim, and Jessilyn P. Dunn. “Digital Medicine Community Perspectives and Challenges: Survey Study (Preprint),” September 24, 2020. https://doi.org/10.2196/preprints.24570.

Bent, Brinnae, and Jessilyn P. Dunn. “Optimizing sampling rate of wrist-worn optical sensors for physiologic monitoring.” Journal of Clinical and Translational Science 5, no. 1 (August 2020): e34. https://doi.org/10.1017/cts.2020.526.

Bent, Brinnae, Ke Wang, Emilia Grzesiak, Chentian Jiang, Yuankai Qi, Yihang Jiang, Peter Cho, et al. “The digital biomarker discovery pipeline: An open-source software platform for the development of digital biomarkers using mHealth and wearables data.” Journal of Clinical and Translational Science 5, no. 1 (July 2020): e19. https://doi.org/10.1017/cts.2020.511.

Jiang, Yihang, Yuankai Qi, Will Ke Wang, Brinnae Bent, Robert Avram, Jeffrey Olgin, and Jessilyn Dunn. “EventDTW: An Improved Dynamic Time Warping Algorithm for Aligning Biomedical Signals of Nonuniform Sampling Frequencies.” Sensors (Basel, Switzerland) 20, no. 9 (May 2020): E2700. https://doi.org/10.3390/s20092700.

Bent, Brinnae, Benjamin A. Goldstein, Warren A. Kibbe, and Jessilyn P. Dunn. “Investigating sources of inaccuracy in wearable optical heart rate sensors.” NPJ Digit Med 3, no. 1 (February 10, 2020): 18. https://doi.org/10.1038/s41746-020-0226-6.

Bent, Brinnae, Benjamin A. Goldstein, Warren A. Kibbe, and Jessilyn P. Dunn. “Investigating sources of inaccuracy in wearable optical heart rate sensors.” NPJ Digit Med 3 (2020): 18. https://doi.org/10.1038/s41746-020-0226-6.

Cho, P. J., K. Singh, and J. Dunn. “Roles of artificial intelligence in wellness, healthy living, and healthy status sensing.” In Artificial Intelligence in Medicine Technical Basis and Clinical Applications, 151–72, 2020. https://doi.org/10.1016/B978-0-12-821259-2.00009-0.

Goldsack, Jennifer C., Andrea Coravos, Jessie P. Bakker, Brinnae Bent, Ariel V. Dowling, Cheryl Fitzer-Attas, Alan Godfrey, et al. “Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs).” NPJ Digital Medicine 3 (January 2020): 55. https://doi.org/10.1038/s41746-020-0260-4.

Pantell, Matthew S., Rebecca J. Baer, Jacqueline M. Torres, Jennifer N. Felder, Anu Manchikanti Gomez, Brittany D. Chambers, Jessilyn Dunn, et al. “Associations between unstable housing, obstetric outcomes, and perinatal health care utilization.” American Journal of Obstetrics & Gynecology MFM 1, no. 4 (November 2019): 100053. https://doi.org/10.1016/j.ajogmf.2019.100053.

Jiang, C., L. Faroqi, L. Palaniappan, and J. Dunn. “Estimating personal resting heart rate from wearable biosensor data.” In 2019 IEEE EMBS International Conference on Biomedical and Health Informatics Bhi 2019 Proceedings, 2019. https://doi.org/10.1109/BHI.2019.8834554.

Schüssler-Fiorenza Rose, Sophia Miryam, Kévin Contrepois, Kegan J. Moneghetti, Wenyu Zhou, Tejaswini Mishra, Samson Mataraso, Orit Dagan-Rosenfeld, et al. “A longitudinal big data approach for precision health.” Nature Medicine 25, no. 5 (May 2019): 792–804. https://doi.org/10.1038/s41591-019-0414-6.

Zhou, Wenyu, M Reza Sailani, Kévin Contrepois, Yanjiao Zhou, Sara Ahadi, Shana R. Leopold, Martin J. Zhang, et al. “Longitudinal multi-omics of host-microbe dynamics in prediabetes.” Nature 569, no. 7758 (May 2019): 663–71. https://doi.org/10.1038/s41586-019-1236-x.

Witt, Daniel, Ryan Kellogg, Michael Snyder, and Jessilyn Dunn. “Windows Into Human Health Through Wearables Data Analytics.” Current Opinion in Biomedical Engineering 9 (March 2019): 28–46. https://doi.org/10.1016/j.cobme.2019.01.001.