Scholars@Duke

• Research
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  Selected Grants

  • CAREER: Resolving action potentials and high-density neural signals from the surface of the brain awarded by  National Science Foundation 2018 - 2023
  • Expanding the Open mHealth Platform to include a Digital Biomarker Discovery Pipeline (DBDP) awarded by Chan Zuckerberg Initiative 2020 - 2021
  • High resolution awake cortical recordings to analyze the role of spreading depolarizations during dynamic stroke evolution awarded by National Institutes of Health 2019 - 2021
  • Neural Sensing from the DRG and Spinal Cord awarded by St. Jude Medical Inc. 2018 - 2020
• 

  Fellowships, Supported Research, & Other Grants

  • Forge Predoctoral Fellowship for Health Data Science awarded by Duke Forge 2019
• Publications & Artistic Works
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  Selected Publications

  • Academic Articles

    • Bent, Brinnae, Ida Sim, and Jessilyn P. Dunn. “Digital Medicine Community Perspectives and Challenges: Survey Study.” Jmir Mhealth and Uhealth 9, no. 2 (February 3, 2021): e24570. https://doi.org/10.2196/24570.
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    • 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 22, 2020): e25137. https://doi.org/10.2196/25137.
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    • 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 9, 2020). https://doi.org/10.3390/s20092700.
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    • Chiang, Chia-Han, Sang Min Won, Amy L. Orsborn, Ki Jun Yu, Michael Trumpis, Brinnae Bent, Charles Wang, et al. “Development of a neural interface for high-definition, long-term recording in rodents and nonhuman primates.” Science Translational Medicine 12, no. 538 (April 2020). https://doi.org/10.1126/scitranslmed.aay4682.
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    • 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.
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    • 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.
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    • Woods, Virginia, Michael Trumpis, Brinnae Bent, Kay Palopoli-Trojani, Chia-Han Chiang, Charles Wang, Chunxiu Yu, Michele N. Insanally, Robert C. Froemke, and Jonathan Viventi. “Long-term recording reliability of liquid crystal polymer µECoG arrays.” Journal of Neural Engineering 15, no. 6 (December 2018): 066024. https://doi.org/10.1088/1741-2552/aae39d.
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    • Bent, Brinnae, Ashley J. Williams, Ryan Bolick, Chia-Han Chiang, Michael Trumpis, and Jonathan Viventi. “3D Printed Cranial Window System for Chronic μECoG Recording.” Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference 2018 (July 2018): 4591–94. https://doi.org/10.1109/embc.2018.8513117.
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    • Williams, Ashley J., Michael Trumpis, Brinnae Bent, Chia-Han Chiang, and Jonathan Viventi. “A Novel µECoG Electrode Interface for Comparison of Local and Common Averaged Referenced Signals.” Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference 2018 (July 2018): 5057–60. https://doi.org/10.1109/embc.2018.8513432.
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    • Bent, Brinnae, Ida Sim, and Jessilyn P. Dunn. “Digital Medicine Community Perspectives and Challenges: Survey Study (Preprint),” n.d. https://doi.org/10.2196/preprints.24570.
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    • 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, n.d., 1–8. https://doi.org/10.1017/cts.2020.511.
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    • Bent, Brinnae, and Jessilyn P. Dunn. “Optimizing sampling rate of wrist-worn optical sensors for physiologic monitoring.” Journal of Clinical and Translational Science, n.d., 1–8. https://doi.org/10.1017/cts.2020.526.
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    • Bent, Brinnae, and Jessilyn P. Dunn. “Wearables in the SARS-CoV-2 Pandemic: What Are They Good for? (Preprint),” n.d. https://doi.org/10.2196/preprints.25137.
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  • Conference Papers

    • Bent, B., C. H. Chiang, C. Wang, N. Lad, A. Kent, and J. Viventi. “Simultaneous Recording and Stimulation Instrumentation for Closed Loop Spinal Cord Stimulation.” In International Ieee/Embs Conference on Neural Engineering, Ner, 2019-March:694–97, 2019. https://doi.org/10.1109/NER.2019.8717053.
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