See most up to date publication list at
Manuscripts currently under peer-review/revisions
*B. Bent, W.E. Hammond. “Data-centric Recommendations for EHR Re-design in a Post-pandemic World”.
*E. Grzesiak, B. Bent, M. McClain, C. Woods, E. Tsalik, B. Nicholson, T. Veldman, T. Burke, C. Nix, S. Evans, Z. Gardener, E. Bergstrom, R. Turner, C. Chiu, P.M. Doraiswamy, A. Hero, R. Henao, G.S. Ginsburg, J.P. Dunn. “Detecting Influenza and the Common Cold Before Symptom Onset with Noninvasive Wearable Sensors”.
*B. Bent, P. Cho, A. Wittman, M. Snyder, M. Crowley, M. Feinglos, J.P. Dunn. “Non-invasive Wearables to Monitor Glycemic Health”.
*B. Bent, J.P. Dunn. “cgmquantify: A Python package for comprehensive analysis of interstitial glucose and glycemic variability from continuous glucose monitor data”.
Peer-Reviewed Publications (*indicates journal pub, †indicates conference pub)
*B. Bent, O.M. Enache, B.A. Goldstein, W.A. Kibbe, J.P. Dunn. “Reply: Matters Arising Investigating Sources of Inaccuracy in Wearable Optical Heart Rate Sensors.” Nature Digital Medicine. (2021)
*B. Bent, B. Lu, J. Kim, J.P. Dunn. “Biosignal Compression Toolbox for Digital Biomarker Discovery”. Sensors. (2021).
*B. Bent, I. Sim, J.P. Dunn. “Digital Medicine Community Perspectives and Challenges: Survey Study”. JMIR MHealth and Uhealth. (2021).
*B. Bent, J.P. Dunn. “Wearables in a Pandemic: What are They Good For?” JMIR Mhealth Uhealth. (2020).
†B. Bent, J.P. Dunn. “Personalized Machine Learning Models for Noninvasive Glucose Prediction Using Wearables”. NeurIPS Machine Learning for Mobile Health Workshop. (2020).
*M. Trumpis, C.H. Chiang, A. Osborn, B. Bent, J. Li, J.A. Rogers, B. Pesaran, G. Cogan, J. Viventi. “Sufficient Sampling for Kriging Prediction of Cortical Potential in Rat, Monkey, and Human, uECoG”. Journal of Neural Engineering. (2020).
*M. Henriquez, J. Sumner, M. Faherty, T. Sell, **B. Bent. “Machine Learning to Predict Lower Extremity Musculoskeletal Injury Risk in Student Athletes”. frontiers: Sports Science, Technology, and Engineering. (2020). (**corresponding, senior author with funding responsibilities)
*B. Bent, J.P. Dunn. “Optimizing Sampling Rate of Wrist-worn Optical Sensors for Physiologic Monitoring”. Journal of Clinical and Translational Science. (2020).
*B. Bent, K. Wang, E. Gerzesiak, C. Jiang, Y. Qi, Y. Jiang, P. Cho, K. Zingler, F. Ogbeide, A. Zhao, I. Sim, J. Dunn. “Digital Biomarker Discovery Pipeline: An open source software platform for the development of digital biomarkers using mHealth and wearables.” Journal of Clinical and Translational Science. (2020).
*Y. Jiang, Y. Qi*, K. Wang, B. Bent, R. Avram, J. Olgin, J. Dunn. “EventDTW: An Improved Dynamic Time Warping Algorithm for Aligning Biomedical Signals of Uneven Sampling Frequencies.” Sensors. (2020)
*J.C. Goldsack, A. Coravos, J. Bakker, B. Bent, A. Dowling, C. Fitzer-Attas, A. Godfrey, J.G. Godino, N. Gujar, E. Ismailova, C. Manta, B, Peterson, B. Vandendressche, W. Wood, W. Wang, J. Dunn. “Verification, Analytical Validation, and Clinical Validation (V3): The Foundation of Determining Fit-for-Purpose for Biometric Monitoring Technologies (BioMeTs)”. Nature Digital Medicine. (2020).
*B. Bent, B.A. Goldstein, W.A. Kibbe, J.P. Dunn. “Investigating Sources of Inaccuracy in Wearable Optical Heart Rate Sensors.” Nature Digital Medicine. (2020)
*CH. Chiang, S. Won, A. Orsborn, KJ. Yu, M. Trumpis, B. Bent, C. Wang, Y. Xue, S. Min, V. Woods, C. Yu, BH. Kim, SB Kim, R. Huq, J. Li, KJ. Seo, F. Vitale, H. Fang, Y. Huang, K. Shepard, B. Pesaran, JA Rogers, J. Viventi. “Development of a neural interface for high-defintion, long-term recording in rodents and nonhuman primates”. Science Translational Medicine. (2020).
†B. Bent, CH. Chiang, C. Wang, N. Lad, A. Kent, J. Viventi. “Simultaneous Recording and Stimulation Instrumentation for Closed Loop Spinal Cord Stimulation.” IEEE Neural Engineering Conference Proceedings. (2019).
†B. Bent, A.J. Williams, R. Bolick, K. Chiang, M. Trumpis, J. Viventi. “3D Printed Cranial Window System for Chronic μECoGRecording.” IEEE Engineering Medicine and Biology Conference Proceedings. (2018).
†A.J. Williams, M. Trumpis, B. Bent, K. Chiang, J. Viventi. “A Novel μECoG Electrode Interface for Comparison of Local and Common Averaged Referenced Signals.” IEEE Engineering Medicine and Biology Conference Proceedings. (2018).
*V. Woods, M. Trumpis, B. Bent, C.H. Chiang, K. Palopoli-Trojani, C. Wang, M. Insanally, R.C. Froemke, and J. Viventi, “Chronicreliability of μECoG arrays implanted for greater than one year in rodents,” Journal of Neural Engineering (2018).
†M. Sahraee Ardakan, M. Emami, AK Fletcher, M. Trumpis, B. Bent, J. Viventi. “Learning Nonlinear Dynamical Networks in Neural Systems”. Conference on Cognitive Computational Neuroscience Proceedings. (2017).
*J. Dieffenderfer, H. Goodell, S. Mills, M. McKnight, S. Yao, F. Lin, E. Beppler, B. Bent, V. Misra, Y. Zhu, O. Oralkan, J. Strohmaier, J. Muth, D. Peden, and A. Bozkurt. “Low Power Wearable Systems for Continuous Monitoring of Environment and Health for Chronic Respiratory Disease.” Journal of Biomedical and Health Informatics (2016).
†Laura Gonzales, Katherine Walker, Sindhuja Challa, B. Bent. “Monitoring a Skipped Heartbeat: A Real-time Premature Ventricular Contraction (PVC) Monitor”. IEEE Virtual Conference on Applications of Commercial Sensors (2016).
*B. Bent, Dr. Alper Bozkurt. “Miniaturizing Plethysmography for use in a Multifunctional Health Monitoring Device withApplications for Asthma Analysis.” State of North Carolina Undergraduate Research Journal: Explorations Vol. X (2015).
†Dieffenderfer, James P., Henry Goodell, B. Bent, Eric Beppler, Rochana Jayakumar, Murat Yokus, Dr. Jesse S. Jur, and Dr.Alper Bozkurt. "Wearable Wireless Sensors for Chronic Respiratory Disease Monitoring." IEEE Body Sensor Networks (2015).