Full metadata
Title
Fully passive wireless acquisition of neuropotentials
Description
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 processes that transpire in the absence of formal integrated power sources or powering schemes along with any active circuitry. These radar-like wireless backscattering mechanisms are used to conceive of fully passive neurorecording operations of an implantable microsystem. The fully passive device potentially manifests inherent advantages over current wireless implantable and wired recording systems: negligible heat dissipation to reduce risks of brain tissue damage and minimal circuitry for long term reliability as a chronic implant. Fully passive neurorecording operations are realized via intrinsic nonlinear mixing properties of the varactor diode. These mixing and recording operations are directly activated by wirelessly interrogating the fully passive device with a microwave carrier signal. This fundamental carrier signal, acquired by the implant antenna, mixes through the varactor diode along with the internal targeted neuropotential brain signals to produce higher frequency harmonics containing the targeted neuropotential signals. These harmonics are backscattered wirelessly to the external interrogator that retrieves and recovers the original neuropotential brain signal. The passive approach removes the need for internal power sources and may alleviate heat trauma and reliability issues that limit practical implementation of existing implantable neurorecorders.
Date Created
2014
Contributors
- Schwerdt, Helen N (Author)
- Chae, Junseok (Thesis 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)
Topical Subject
- Electrical Engineering
- Electromagnetism
- Biomedical Engineering
- Backscattering
- microelectromechanical systems (MEMS)
- neural recording
- radio frequency (RF) identification (RFID)
- wireless brain interfaces
- wireless telemetry of neuropotentials
- Biotelemetry
- Backscattering
- Microelectromechanical Systems
- Brain--Electric properties.
- Brain
Resource Type
Extent
xi, 150 p. : ill. (some col.)
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.25945
Statement of Responsibility
by Helen N. Schwerdt
Description Source
Viewed on December 19. 2014
Level of coding
full
Note
thesis
Partial requirement for: Ph.D., Arizona State University, 2014
bibliography
Includes bibliographical references (p. 142-150)
Field of study: Electrical engineering
System Created
- 2014-10-01 08:03:44
System Modified
- 2021-08-30 01:32:39
- 3 years 2 months ago
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