Experimental evaluations of sequential adaptive processing for fetal electrocardiograms (ECGs)

Z. Yao, Y. Dong, 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 IIR comb filtering (CF) can effectively remove maternal interference from noninvasive fetal ECGs. This paper presents experimental results to show how LPC-ANC sequential processing can extract fetal signals from noninvasive abdominal measurements. Experimental results demonstrate how various combinations of time-domain and transform-domain adaptive filters can effectively extract the fetal component from noninvasive abdominal fetal ECG's. Experimental results also illustrate that sequential processing followed by single stage comb filtering and newly proposed adaptive comb filtering is an effective form of sequential processing.

Original languageEnglish (US)
Title of host publicationConference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
PublisherIEEE Computer Society
Pages770-774
Number of pages5
Volume2016-February
ISBN (Electronic)9781467385763
DOIs
StatePublished - Feb 26 2016
Event49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States
Duration: Nov 8 2015Nov 11 2015

Other

Other49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
CountryUnited States
CityPacific Grove
Period11/8/1511/11/15

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing

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