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A low power ECG signal processor for ambulatory arrhythmia monitoring system

  • Hyejung Kim
  • , Refet Firat Yazicioglu
  • , Tom Torfs
  • , Patrick Merken
  • , Hoi Jun Yoo
  • , Chris Van Hoof
  • IMEC
  • KAIST

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

32 Citations (Scopus)

Abstract

An ECG signal processor (ESP) is proposed for ambulatory arrhythmia monitoring systems. The ESP consists of three heterogeneous processors and performs filtering, data compression, ECG classification, and encryption. A data reduction scheme, consisting of skeleton and Huffman coding, are employed to reduce the on-chip memory capacity and memory access power. Clock gating and voltage scaling are also applied to reduce the power consumption. The ESP consumes 1.26-μW at 0.7V, while providing real time signal processing.

Original languageEnglish
Title of host publication2010 Symposium on VLSI Circuits, VLSIC 2010
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages19-20
Number of pages2
ISBN (Print)9781424476367
DOIs
Publication statusPublished - 2010

Publication series

NameIEEE Symposium on VLSI Circuits, Digest of Technical Papers
ISSN (Print)2158-5601
ISSN (Electronic)2158-5636

Keywords

  • Biomedical signal processing
  • ECG
  • Processor

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