Theoretical analysis of sequential adaptive processing for fetal electrocardiograms

Yuqing Dong, W. K. Jenkins

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

4 Scopus citations

Abstract

Fetal electrocardiograms (ECGs) are useful for monitoring fetal health during pregnancy. Previously published results demonstrated that a sequential combination of adaptive linear prediction (LPC), adaptive noise cancellation (ANC), and IIR comb filtering (CF) is an effective strategy to remove maternal interference from fetal ECGs. This paper presents a theory of how LPC-ANC sequential processing is capable to extract fetal signals from noninvasive abdominal measurements. Results are presented to demonstrate that multi-channel adaptive processing is more effective than signal channel processing. Finally, results illustrate that sequential processing followed by single stage of comb filtering is more effective than direct comb filtering.

Original languageEnglish (US)
Title of host publication2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1002-1005
Number of pages4
ISBN (Electronic)9781479983919
DOIs
StatePublished - Jul 27 2015
EventIEEE International Symposium on Circuits and Systems, ISCAS 2015 - Lisbon, Portugal
Duration: May 24 2015May 27 2015

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2015-July
ISSN (Print)0271-4310

Other

OtherIEEE International Symposium on Circuits and Systems, ISCAS 2015
Country/TerritoryPortugal
CityLisbon
Period5/24/155/27/15

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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