A 5.7kfps Fast Neural Electrical Impedance Tomography IC Based on Incremental Zoom Structure with Baseline Cancellation for Peripheral Nerve Monitoring Systems

Ji Hoon Suh, Haidam Choi, Yoontae Jung, Sohmyung Ha, Minkyu Je

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

Abstract

Fast electrical impedance tomography (EIT) can localize and record neural activities of peripheral nerves in real time, but prior EIT systems do not support high enough frame rate (<500fps) to catch neural activities. Towards the real-time neural EIT, we propose a power- and hardware-efficient EIT system based on baseline-cancelling incremental zoom structure with 47μ W and 0.055mm2/ch, and a novel image update scheme, focused refresh, boosting the frame rate to 5.7kfps.

Original languageEnglish (US)
Title of host publication2024 IEEE Symposium on VLSI Technology and Circuits, VLSI Technology and Circuits 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350361469
DOIs
StatePublished - 2024
Event2024 IEEE Symposium on VLSI Technology and Circuits, VLSI Technology and Circuits 2024 - Honolulu, United States
Duration: Jun 16 2024Jun 20 2024

Publication series

NameDigest of Technical Papers - Symposium on VLSI Technology
ISSN (Print)0743-1562

Conference

Conference2024 IEEE Symposium on VLSI Technology and Circuits, VLSI Technology and Circuits 2024
Country/TerritoryUnited States
CityHonolulu
Period6/16/246/20/24

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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