Publication:
Electronics-Free Deep-Tissue Sensing via Passive Ultrasonic Backscatter

Placeholder

Departments

School / College / Institute

Program

KU-Authors

KU Authors

Co-Authors

Bardakci, Emine (58680383700)
Toymus, Alp Timucin (57283766300)
Beker, Levent (54975390000)

Publication Date

Language

Embargo Status

No

Journal Title

Journal ISSN

Volume Title

Alternative Title

Abstract

Monitoring physiological signals in deep tissue is often constrained by limitations in power availability, device miniaturization, and wireless signal penetration. Conventional implantable sensors rely on active electronics and electromagnetic transmission, both of which restrict scaling and suffer from severe attenuation in biological tissue. In this work, we present a fully passive ultrasonic sensing approach that encodes capacitive sensor states as antiresonance shifts in the backscattered signal of a piezoelectric transducer. We experimentally validate this encoding scheme by demonstrating that antiresonance shifts in the backscatter directly correspond to resonance changes measured at the implant site. This novel passive method overcomes the need for active circuitry, offering a scalable and long-term solution for implantable biosensing. © 2025 IEEE.

Source

Publisher

IEEE Computer Society

Subject

Citation

Has Part

Source

IEEE International Ultrasonics Symposium, IUS

Book Series Title

Edition

DOI

10.1109/IUS62464.2025.11201437

item.page.datauri

Link

Rights

CC BY-NC-ND (Attribution-NonCommercial-NoDerivs)

Copyrights Note

Creative Commons license

Except where otherwised noted, this item's license is described as CC BY-NC-ND (Attribution-NonCommercial-NoDerivs)

Endorsement

Review

Supplemented By

Referenced By

0

Views

0

Downloads

View PlumX Details