Receiver echo cancellation with real-time self calibration for passive implanted neuron recorders

Maryam Shafiee, Sule Ozev

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

Abstract

This paper presents an architecture for receiver echo cancellation using in-field self-calibration to enable reception of weak signal generated by implanted passive neuron recorders. The echo cancellation enables the use of passive implant transmitter, resulting in low power consumption, and avoids the need for batteries and charge-storage devices at the implant site. A passive, double balanced diode-based mixer architecture is used for the implant transmitter that directly modulates the received carrier with the neuron sensor signal. The transmitted signal is weak compared to the echo that stems from the reflection from the human skull. An echo cancellation scheme is added to the receiver path to suppress the reflected power at transmitted frequency. A built-in-self calibration module defines the characteristic of the cancelling path for each communication cycle. The air gap between transceiver and the brain is assumed to be around 5mm, but variable from measurement to measurement. A receiver with a sensitivity of -123.55 dBm is designed. According to simulations, a neuron potential as low as 27 μVp-p is detectable with an ideal canceller. The echo signal is canceled up to 200 dB for an ideal canceller. The tolerable error for non-ideal canceller is investigated and compared with the ideal case.

Original languageEnglish (US)
Title of host publicationIEEE International Symposium on Circuits and Systems
Subtitle of host publicationFrom Dreams to Innovation, ISCAS 2017 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467368520
DOIs
StatePublished - Sep 25 2017
Event50th IEEE International Symposium on Circuits and Systems, ISCAS 2017 - Baltimore, United States
Duration: May 28 2017May 31 2017

Other

Other50th IEEE International Symposium on Circuits and Systems, ISCAS 2017
CountryUnited States
CityBaltimore
Period5/28/175/31/17

Keywords

  • Echo cancellation
  • In-field Biult-In Calibration
  • Nueron potential
  • Nueron recording
  • Passive neuron recorder
  • Transciever design

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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    Shafiee, M., & Ozev, S. (2017). Receiver echo cancellation with real-time self calibration for passive implanted neuron recorders. In IEEE International Symposium on Circuits and Systems: From Dreams to Innovation, ISCAS 2017 - Conference Proceedings [8050426] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAS.2017.8050426