Wavelet Based Denoising and Cross Correlation for Identifying Features in CTG Traces

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

This work aims to demonstrate a method of pattern identification in CTG traces. Following de-noising using the discrete wavelet transformation, the zero normalized cross-correlation is applied between the trace and the pattern of interest. This study allows a custom pattern to be cross correlated with a CTG trace, and areas of maximal overlap are indicators of successful identification. The method has been tested with CTG records from Cork University Maternity Hospital to determine the prediction rate.

Original languageEnglish
Title of host publication2022 33rd Irish Signals and Systems Conference, ISSC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665452274
DOIs
Publication statusPublished - 2022
Event33rd Irish Signals and Systems Conference, ISSC 2022 - Cork, Ireland
Duration: 9 Jun 202210 Jun 2022

Publication series

Name2022 33rd Irish Signals and Systems Conference, ISSC 2022

Conference

Conference33rd Irish Signals and Systems Conference, ISSC 2022
Country/TerritoryIreland
CityCork
Period9/06/2210/06/22

Keywords

  • CTG
  • discrete wavelet transform
  • zero normalized cross-correlation

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