Context-aware electromagnetic design for continuously wearable biosymbiotic devices
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Gutruf_Manuscript.pdf
Embargo:
2025-03-14
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7.493Mb
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Description:
Final Accepted Manuscript
Author
Stuart, TuckerYin, Xiaoyang
Chen, Shengjian Jammy
Farley, Max
McGuire, Dylan Thomas
Reddy, Nikhil
Thien, Ryan
DiMatteo, Sam
Fumeaux, Christophe
Gutruf, Philipp
Affiliation
Department of Biomedical Engineering, University of ArizonaEller College of Management, University of Arizona
Department of Electrical and Computer Engineering, University of Arizona
Bio5 Institute, University of Arizona
Neuroscience GIDP, University of Arizona
Issue Date
2023-03-14
Metadata
Show full item recordPublisher
Elsevier LtdCitation
Stuart, T., Yin, X., Chen, S. J., Farley, M., McGuire, D. T., Reddy, N., ... & Gutruf, P. (2023). Context-aware electromagnetic design for continuously wearable biosymbiotic devices. Biosensors and Bioelectronics, 228, 115218.Journal
Biosensors & bioelectronicsRights
© 2023 Elsevier B.V. All rights reserved.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Imperceptible wireless wearable devices are critical to advance digital medicine with the goal to capture clinical-grade biosignals continuously. Design of these systems is complex because of unique interdependent electromagnetic, mechanic and system level considerations that directly influence performance. Typically, approaches consider body location, related mechanical loads, and desired sensing capabilities, however, design for real world application context is not formulated. Wireless power casting eliminates user interaction and the need to recharge batteries, however, implementation is challenging because the use case influences performance. To facilitate a data-driven approach to design, we demonstrate a method for personalized, context-aware antenna, rectifier and wireless electronics design that considers human behavioral patterns and physiology to optimize electromagnetic and mechanical features for best performance across an average day of the target user group. Implementation of these methods result in devices that enable continuous recording of high-fidelity biosignals over weeks without the need for human interaction.Note
24 month embargo; first published 14 March 2023EISSN
1873-4235PubMed ID
36940633Version
Final accepted manuscriptae974a485f413a2113503eed53cd6c53
10.1016/j.bios.2023.115218