Wireless, fully implantable cardiac stimulation and recording with on-device computation for closed-loop pacing and defibrillation
Author
Ausra, J.Madrid, M.
Yin, R.T.
Hanna, J.
Arnott, S.
Brennan, J.A.
Peralta, R.
Clausen, D.
Bakall, J.A.
Efimov, I.R.
Gutruf, P.
Affiliation
Department of Biomedical Engineering, University of ArizonaDepartment of Aerospace and Mechanical Engineering, University of Arizona
Department of Electrical and Computer Engineering, University of Arizona
Bio5 Institute, University of Arizona
Neuroscience Graduate Interdisciplinary Program (GIDP), University of Arizona
Issue Date
2022
Metadata
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ScienceCitation
Ausra, J., Madrid, M., Yin, R. T., Hanna, J., Arnott, S., Brennan, J. A., Peralta, R., Clausen, D., Bakall, J. A., Efimov, I. R., & Gutruf, P. (2022). Wireless, fully implantable cardiac stimulation and recording with on-device computation for closed-loop pacing and defibrillation. Science Advances, 8(43), eabq7469.Journal
Science advancesRights
Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S.Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).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
Monitoring and control of cardiac function are critical for investigation of cardiovascular pathophysiology and developing life-saving therapies. However, chronic stimulation of the heart in freely moving small animal subjects, which offer a variety of genotypes and phenotypes, is currently difficult. Specifically, real-time control of cardiac function with high spatial and temporal resolution is currently not possible. Here, we introduce a wireless battery-free device with on-board computation for real-time cardiac control with multisite stimulation enabling optogenetic modulation of the entire rodent heart. Seamless integration of the biointerface with the heart is enabled by machine learning-guided design of ultrathin arrays. Long-term pacing, recording, and on-board computation are demonstrated in freely moving animals. This device class enables new heart failure models and offers a platform to test real-time therapeutic paradigms over chronic time scales by providing means to control cardiac function continuously over the lifetime of the subject.Note
Open access journalISSN
2375-2548PubMed ID
36288311Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1126/sciadv.abq7469
Scopus Count
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Except where otherwise noted, this item's license is described as Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S.Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).
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