Doctor of Philosophy, The Ohio State University, 2016, Electrical and Computer Engineering
This dissertation presents a fully-passive wireless neurorecording system for moni- toring very low level neuropotential. The subject new recording device has no battery, power harvester or regulator. As a result, it addresses concerns related to: (1) exter- nal wired connection (causing lack of mobility and risk of infection in patients), and (2) heat generation that may impact neural functioning. The developed sensor also exhibits large bandwidth and extremely high sensitivity down to 20 µVpp. Specifi- cally, this minimum detectable voltage is 25 times lower than previous fully-passive wireless neurorecorder. Further, for the first time, it allows detection of signals up to 5000 Hz. As a result, it can detect all neural signals of interest. A key aspect of the proposed sensor's increased sensitivity is the introduction of an anti-parallel diode pair (APDP) to greatly reduce the second harmonic mixing conversion loss in the implant. Also, a smaller size antenna allows for a less intrusive implant. The implant is excited by an external interrogator possibly integrated within a baseball cap, to power the implanted recorder and reading the neurosignal.
Committee: John Volakis (Advisor); Asimina Kiourti (Advisor); Waleed Khalil (Committee Member); Andrea Serrani (Committee Member)
Subjects: Electrical Engineering; Electromagnetics