A high-sensitivity fully-passive wireless neurosensing system for unobtrusive brain signal monitoring

Cedric W L Lee, Asimina Kiourti, Junseok Chae, John L. Volakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

A high-sensitivity, fully-passive and wireless neurosensing system is presented for unobtrusive brain signal monitoring. The system is able to wirelessly detect neuropotentials down to 28 μVpp in the frequency band of 100 Hz to 5 kHz. This is a 90-fold sensitivity improvement as compared to previous fully-passive implementations. Importantly, it implies detection of most neural signals generated by the human brain. The system consists of an implanted neurosensor and an exterior interrogator, and utilizes a highly-efficient microwave backscattering method for signal detection. High sensitivity is achieved via: (a) a sub-harmonic implanted mixer with high conversion efficiency, (b) a pair of highly-coupled implanted/interrogator antennas, and (c) a carefully matched interface between the implant antenna and mixer circuit. The proposed neurosensing system brings forward a new possibility of wireless neural signal detection using fully-passive technology.

Original languageEnglish (US)
Title of host publication2015 IEEE MTT-S International Microwave Symposium, IMS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479982752
DOIs
StatePublished - Jul 24 2015
EventIEEE MTT-S International Microwave Symposium, IMS 2015 - Phoenix, United States
Duration: May 17 2015May 22 2015

Publication series

Name2015 IEEE MTT-S International Microwave Symposium, IMS 2015

Other

OtherIEEE MTT-S International Microwave Symposium, IMS 2015
Country/TerritoryUnited States
CityPhoenix
Period5/17/155/22/15

Keywords

  • Anti-parallel diode pair (APDP)
  • biomedical telemetry
  • brain implants
  • neurosensing
  • passive circuits
  • sub-harmonic mixers

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Electrical and Electronic Engineering

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