Allison Bateman

BioE Ph.D. Proposal Presentation

11 AM on Tuesday, April 29, 2025

Location: Pettit Microelectronics Building, 102A

https://gatech.zoom.us/j/91272878403

Advisor: W. Hong Yeo, Ph.D. (ME, Georgia Institute of Technology)

Committee:

Rudy Gleason, Ph.D. (ME, Georgia Institute of Technology)

Peter Hesketh, Ph.D. (ME, Georgia Institute of Technology)

Todd Sulchek, Ph.D. (ME, Georgia Institute of Technology)  

Alex Abramson, Ph.D.  (ChBE, Georgia Institute of Technology)

Development of wireless implantable bioelectronics integrated on a unified platform with existing medical devices for enhancing physiological monitoring

While technological advancements have heightened public awareness of health monitoring, significant barriers to obtaining quality health data persist for a large population, particularly high-risk patients. Many diagnoses require costly, time-consuming visits to well-resourced health facilities, adversely affecting patient health. As healthcare systems shift toward decentralization, there is a growing need for monitoring tools that can be used in outpatient clinics or procedural centers without sacrificing accuracy or reliability. This proposal seeks to address that need by developing wireless, implantable bioelectronic systems for accessible physiological monitoring of high-risk patients. This work aims to incorporate these systems into existing medical devices using an LC-circuit based design to wirelessly detect abnormal conditions outside of hospital settings. Achieving this technology requires a thorough understanding of biosensors, wireless monitoring, and pathophysiological signals. This work targets two diseases, atherosclerosis and end-stage-kidney disease (ESKD), both of which have costly invasive procedures to diagnose common complications. In Aim 1, a bioelectronic vascular stent, capable of wirelessly diagnosing in-stent restenosis, is optimized with a miniaturized sensor to integrate with current catheterization procedures. In Aim 2, a fully flexible wireless monitoring system is developed and studied to detect stenosis growth and location within arteriovenous grafts (AVG) used for dialysis. Lastly, Aim 3 looks to enhance the implanted system's wireless performance by modifying both the device and external reader to extend the wireless capabilities of the system. Together, these efforts aim to advance the fields of soft electronics and passive sensing while enabling more accessible, non-hospital-based diagnostics for high-risk patients.