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Fully Passive Wireless Acquisition of Neuropotentials


Abstract The ability to monitor electrophysiological signals from the sentient brain is requisite to decipher its enormously complex workings and initiate remedial solutions for the vast amount of neurologically-based disorders. Despite immense advancements in creating a variety of instruments to record signals from the brain, the translation of such neurorecording instrumentation to real clinical domains places heavy demands on their safety and reliability, both of which are not entirely portrayed by presently existing implantable recording solutions. In an attempt to lower these barriers, alternative wireless radar backscattering techniques are proposed to render the technical burdens of the implant chip to entirely passive neurorecording processe... (more)
Created Date 2014
Contributor Schwerdt, Helen N. (Author) / Chae, Junseok (Advisor) / Miranda, Félix A (Committee member) / Phillips, Stephen (Committee member) / Towe, Bruce C (Committee member) / Balanis, Constantine A (Committee member) / Frakes, David (Committee member) / Arizona State University (Publisher)
Subject Electrical engineering / Electromagnetics / Biomedical engineering / backscattering / microelectromechanical systems (MEMS) / neural recording / radio frequency (RF) identification (RFID) / wireless brain interfaces / wireless telemetry of neuropotentials
Type Doctoral Dissertation
Extent 162 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Doctoral Dissertation Electrical Engineering 2014
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis