Highly comparative fetal heart rate analysis.

A database of fetal heart rate (FHR) time series measured from 7 221 patients during labor is analyzed with the aim of learning the types of features of these recordings that are informative of low cord pH. Our 'highly comparative' analysis involves extracting over 9 000 time-series analys...

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Main Authors: Fulcher, B, Georgieva, A, Redman, C, Jones, N
Format: Journal article
Language:English
Published: 2012
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author Fulcher, B
Georgieva, A
Redman, C
Jones, N
author_facet Fulcher, B
Georgieva, A
Redman, C
Jones, N
author_sort Fulcher, B
collection OXFORD
description A database of fetal heart rate (FHR) time series measured from 7 221 patients during labor is analyzed with the aim of learning the types of features of these recordings that are informative of low cord pH. Our 'highly comparative' analysis involves extracting over 9 000 time-series analysis features from each FHR time series, including measures of autocorrelation, entropy, distribution, and various model fits. This diverse collection of features was developed in previous work [1]. We describe five features that most accurately classify a balanced training set of 59 'low pH' and 59 'normal pH' FHR recordings. We then describe five of the features with the strongest linear correlation to cord pH across the full dataset of FHR time series. The features identified in this work may be used as part of a system for guiding intervention during labor in future. This work successfully demonstrates the utility of comparing across a large, interdisciplinary literature on time-series analysis to automatically contribute new scientific results for specific biomedical signal processing challenges.
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spelling oxford-uuid:8798f606-959f-4f77-8df7-f05f2b5408d32022-03-26T22:11:44ZHighly comparative fetal heart rate analysis.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:8798f606-959f-4f77-8df7-f05f2b5408d3EnglishSymplectic Elements at Oxford2012Fulcher, BGeorgieva, ARedman, CJones, NA database of fetal heart rate (FHR) time series measured from 7 221 patients during labor is analyzed with the aim of learning the types of features of these recordings that are informative of low cord pH. Our 'highly comparative' analysis involves extracting over 9 000 time-series analysis features from each FHR time series, including measures of autocorrelation, entropy, distribution, and various model fits. This diverse collection of features was developed in previous work [1]. We describe five features that most accurately classify a balanced training set of 59 'low pH' and 59 'normal pH' FHR recordings. We then describe five of the features with the strongest linear correlation to cord pH across the full dataset of FHR time series. The features identified in this work may be used as part of a system for guiding intervention during labor in future. This work successfully demonstrates the utility of comparing across a large, interdisciplinary literature on time-series analysis to automatically contribute new scientific results for specific biomedical signal processing challenges.
spellingShingle Fulcher, B
Georgieva, A
Redman, C
Jones, N
Highly comparative fetal heart rate analysis.
title Highly comparative fetal heart rate analysis.
title_full Highly comparative fetal heart rate analysis.
title_fullStr Highly comparative fetal heart rate analysis.
title_full_unstemmed Highly comparative fetal heart rate analysis.
title_short Highly comparative fetal heart rate analysis.
title_sort highly comparative fetal heart rate analysis
work_keys_str_mv AT fulcherb highlycomparativefetalheartrateanalysis
AT georgievaa highlycomparativefetalheartrateanalysis
AT redmanc highlycomparativefetalheartrateanalysis
AT jonesn highlycomparativefetalheartrateanalysis