Towards an Implantable Gastric Electrical-Wave Recording System Powered with Ultrasonic Beamforming

Zeinab Kashani, Mehdi Kiani

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

1 Scopus citations

Abstract

Wireless real-time monitoring of underlying gastric electrical activity, called slow wave (SW), has the potential of detecting gastric dysrhythmia in various gastric disorders. To realize minimally invasive small gastric implants (i.e., Gastric Seeds) for high-resolution SW recording, an ultrasonic (US) wireless power and data transfer platform as well as a CMOS ASIC with low-frequency analog frontend and power management are required. This paper presents our recent progress towards the design and development of such core technologies for the Gastric Seed, including different low-noise amplifier structures for recording SW signals at ultralow frequencies (tens of mHz), US beamforming for powering a millimeter-sized implant, and integrated power-management for rectification, regulation, and over-voltage protection at 1.1 MHz. To achieve tens of mHz operation, four different amplifiers were fabricated in a 0.35-μm standard CMOS process, and their performance was measured. Also, a 32-element US array was optimized and simulated. This paper presents the functionality of these three core technologies individually through simulations and measurements, which will be integrated in future to realize a Gastric Seed, powered with US beam focusing and steering through beamforming.

Original languageEnglish (US)
Title of host publicationBioCAS 2022 - IEEE Biomedical Circuits and Systems Conference
Subtitle of host publicationIntelligent Biomedical Systems for a Better Future, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages45-49
Number of pages5
ISBN (Electronic)9781665469173
DOIs
StatePublished - 2022
Event2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022 - Taipei, Taiwan, Province of China
Duration: Oct 13 2022Oct 15 2022

Publication series

NameBioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings

Conference

Conference2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022
Country/TerritoryTaiwan, Province of China
CityTaipei
Period10/13/2210/15/22

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Signal Processing
  • Biomedical Engineering
  • Electrical and Electronic Engineering
  • Neuroscience (miscellaneous)
  • Instrumentation

Fingerprint

Dive into the research topics of 'Towards an Implantable Gastric Electrical-Wave Recording System Powered with Ultrasonic Beamforming'. Together they form a unique fingerprint.

Cite this