B
Brinnae Bent
Researcher at Duke University
Publications - 31
Citations - 1007
Brinnae Bent is an academic researcher from Duke University. The author has contributed to research in topics: Computer science & Wearable computer. The author has an hindex of 8, co-authored 28 publications receiving 451 citations. Previous affiliations of Brinnae Bent include North Carolina State University & Durham University.
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Journal ArticleDOI
Investigating sources of inaccuracy in wearable optical heart rate sensors
TL;DR: Different wearables are all reasonably accurate at resting and prolonged elevated heart rate, but that differences exist between devices in responding to changes in activity, and this has implications for researchers, clinicians, and consumers.
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Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs).
Jennifer C. Goldsack,Andrea Coravos,Jessie P. Bakker,Brinnae Bent,Ariel V. Dowling,Cheryl Fitzer-Attas,Alan Godfrey,Job G. Godino,Ninad Gujar,Elena S. Izmailova,Christine Manta,Barry Peterson,Benjamin Vandendriessche,William A. Wood,Ke Will Wang,Jessilyn Dunn +15 more
TL;DR: The intent is to clarify core terminology and best practices for the evaluation of Biometric Monitoring Technologies (BioMeTs), without unnecessarily introducing new terms, and aim for this common vocabulary to enable more effective communication and collaboration, generate a common and meaningful evidence base for BioMeTs, and improve the accessibility of the digital medicine field.
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Low-Power Wearable Systems for Continuous Monitoring of Environment and Health for Chronic Respiratory Disease
James Dieffenderfer,Henry Goodell,Steven Mills,Michael McKnight,Shanshan Yao,Feiyan Lin,Eric Beppler,Brinnae Bent,Bongmook Lee,Veena Misra,Yong Zhu,Omer Oralkan,Jason Strohmaier,John F. Muth,David B. Peden,Alper Bozkurt +15 more
TL;DR: The preliminary efforts to achieve a submilliwatt system ultimately powered by the energy harvested from thermal radiation and motion of the body are described with the primary contributions being an ultralow-power ozone sensor, an volatile organic compounds sensor, spirometer, and the integration of these and other sensors in a multimodal sensing platform.
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Development of a neural interface for high-definition, long-term recording in rodents and nonhuman primates.
Chia Han Chiang,Sang Min Won,Amy L. Orsborn,Amy L. Orsborn,Ki Jun Yu,Michael Trumpis,Brinnae Bent,Charles Wang,Yeguang Xue,Seunghwan Min,Virginia Woods,Chunxiu Yu,Chunxiu Yu,Bong Hoon Kim,Sung Bong Kim,Rizwan Huq,Jinghua Li,Jinghua Li,Jinghua Li,Kyung Jin Seo,Flavia Vitale,Flavia Vitale,Andrew G. Richardson,Hui Fang,Yonggang Huang,Kenneth L. Shepard,Bijan Pesaran,John A. Rogers,John A. Rogers,Jonathan Viventi +29 more
TL;DR: A scalable neural interface technology projected to last at least 6 years in the body samples over a thousand brain sites using flexible electronics and provides stable in vivo neural recordings in rodents and nonhuman primates.
Journal ArticleDOI
Long-term recording reliability of liquid crystal polymer µECoG arrays
Virginia Woods,Michael Trumpis,Brinnae Bent,Kay Palopoli-Trojani,Chia Han Chiang,Charles Wang,Chunxiu Yu,Michele N. Insanally,Michele N. Insanally,Robert C. Froemke,Robert C. Froemke,Robert C. Froemke,Jonathan Viventi +12 more
TL;DR: It is shown that µECoG arrays can reliably perform in chronic applications in vivo for over one year, which facilitates the development of a high-density, clinically viable interface.