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Extraction of Fetal ECG from Maternal Abdominal Record in the 3 rd Trimester of Gestation using R-R Interval Windowing Technique

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

4 Scopus citations

Abstract

Thousands of unborn children around the globe die everyday in their mother's womb due to stillbirth. The major cause for stillbirth is the inability to non-invasively monitor the Fetal Heart Rate (FHR) continuously during pregnancy. This triggered the search for alternative Fetal monitoring techniques, namely non-invasive Fetal Electrocardiogram (FECG) monitoring. Hence, we propose a time domain analysis and Fetal R-R interval windowing approach for the non-invasive extraction of FECG from Maternal Abdominal Electrocardiogram (MAECG), which achieved an accuracy of about 96.39% when compared against the reference direct Fetal Scalp ECG, and is higher than other relevant methods discussed in this paper. This simulation is based on records from the public database - Abdominal and Direct Fetal ECG Database (ADFECGDB) from Physionet.

Original languageEnglish
Title of host publicationProceedings of the IEEE Workshop on Signal Processing Systems, SiPS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages229-234
Number of pages6
ISBN (Electronic)9781538663189
DOIs
StatePublished - 31 Dec 2018
Externally publishedYes

Publication series

NameIEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
Volume2018-October
ISSN (Print)1520-6130

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • FECG
  • FHR
  • MAECG
  • R-R interval
  • non-invasive
  • stillbirth
  • time-frequency
  • windowing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Applied Mathematics
  • Hardware and Architecture

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