Adaptive signal processing techniques for extracting fetal electrocardiograms from noninvasive measurements

W. K. Jenkins, H. Ding, M. Zenaldin, A. D. Salvia, R. M. Collins

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

4 Scopus citations

Abstract

In clinical medicine fetal electrocardiograms (ECGs) are useful for monitoring fetal health during pregnancy. This research investigates a variety of adaptive filtering techniques to remove maternal interference from fetal ECGs and to determine which techniques are most effective under varying circumstances. Experimental results suggest that a sequential combination of adaptive linear prediction coding (LPC), adaptive noise cancellation (ANC), and IIR comb filtering provides an effective strategy to remove maternal interference from fetal ECGs. It is shown how digital comb filters can be used effectively to separate maternal and fetal signal components based on distinct spectral content of the two signals.

Original languageEnglish (US)
Title of host publication2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages639-642
Number of pages4
ISBN (Electronic)9781479941346, 9781479941346
DOIs
StatePublished - Sep 23 2014
Event2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014 - College Station, United States
Duration: Aug 3 2014Aug 6 2014

Publication series

NameMidwest Symposium on Circuits and Systems
ISSN (Print)1548-3746

Other

Other2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014
Country/TerritoryUnited States
CityCollege Station
Period8/3/148/6/14

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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