The addition of adaptive comb filtering to sequential adaptive processing for fetal electrocardiograms (ECGs)

Y. Dong, J. Kovarskiy, W. K. Jenkins

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

2 Scopus citations

Abstract

Previously published results demonstrated that a sequential combination of adaptive linear prediction (LPC), adaptive noise cancellation (ANC), and non-adaptive (fixed) IIR comb filtering (CF) can effectively remove maternal interference from noninvasive fetal ECGs. This paper presents results obtained by replacing the third stage fixed IIR comb filtering (CF) with adaptive comb filtering (ACF). In this work the fixed IIR comb filtering is replaced by an FIR adaptive comb filtering based on two distinct forms of the ACF adaptive algorithms. Experimental results illustrate that sequential LPC-ANC processing followed by the newly proposed adaptive comb filtering is an effective form of sequential processing.

Original languageEnglish (US)
Title of host publicationConference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages1626-1630
Number of pages5
ISBN (Electronic)9781538639542
DOIs
StatePublished - Mar 1 2017
Event50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016 - Pacific Grove, United States
Duration: Nov 6 2016Nov 9 2016

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
Country/TerritoryUnited States
CityPacific Grove
Period11/6/1611/9/16

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'The addition of adaptive comb filtering to sequential adaptive processing for fetal electrocardiograms (ECGs)'. Together they form a unique fingerprint.

Cite this