Highly comparative fetal heart rate analysis

B. D. Fulcher, A. E. Georgieva, C. W.G. Redman

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

10 Citations (Scopus)


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.

Original languageEnglish
Title of host publication34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
Number of pages4
Publication statusPublished - 2012
Externally publishedYes
EventInternational Conference of the IEEE Engineering in Medicine and Biology Society 2012 - Hilton San Diego Bayfront, San Diego, United States of America
Duration: 28 Aug 20121 Sep 2012
Conference number: 34th
https://ieeexplore.ieee.org/xpl/conhome/6320834/proceeding (Proceedings)


ConferenceInternational Conference of the IEEE Engineering in Medicine and Biology Society 2012
Abbreviated titleEMBC 2012
CountryUnited States of America
CitySan Diego
Internet address

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