Literature DB >> 2194979

Computer analysis of antepartum fetal heart rate: 1. Baseline determination.

R Mantel1, H P van Geijn, F J Caron, J M Swartjes, E E van Woerden, H W Jongsma.   

Abstract

A consequent and reproducible determination of baseline is an essential prerequisite for objective interpretation of fetal heart rate. A fully automated off-line method of baseline determination has been developed and tested on 50 normal antepartum fetal heart rate recordings of two hours duration. The method is constructed around two functional units, a digital filter and a trim function, which interact in an iterative process. The results were evaluated in comparison with automated baseline determination according to Dawes and coworkers. A panel of 3 experts agreed that in 14 of the 50 recordings (28%), the new developed procedure resulted in a substantially better baseline fit. In the remaining 34 recordings (72%), baseline fit from both methods was judged as equivalent. The described procedure of baseline determination provides a solid base for automated detection of accelerations and decelerations in fetal heart rate recordings. It enables the study of the relation between the fetal heart rate pattern and fetal movements. Finally, it provides an objective tool for analysis of variables within the fetal heart rate with the highest predictive value with respect to fetal outcome.

Mesh:

Year:  1990        PMID: 2194979     DOI: 10.1016/0020-7101(90)90030-x

Source DB:  PubMed          Journal:  Int J Biomed Comput        ISSN: 0020-7101


  5 in total

1.  Foetal heart rate power spectrum response to uterine contraction.

Authors:  M Romano; P Bifulco; M Cesarelli; M Sansone; M Bracale
Journal:  Med Biol Eng Comput       Date:  2006-02-21       Impact factor: 2.602

2.  Antepartum fetal heart rate feature extraction and classification using empirical mode decomposition and support vector machine.

Authors:  Niranjana Krupa; Mohd Ali; Edmond Zahedi; Shuhaila Ahmed; Fauziah M Hassan
Journal:  Biomed Eng Online       Date:  2011-01-19       Impact factor: 2.819

3.  Monitoring fetal heart rate during pregnancy: contributions from advanced signal processing and wearable technology.

Authors:  Maria G Signorini; Andrea Fanelli; Giovanni Magenes
Journal:  Comput Math Methods Med       Date:  2014-01-30       Impact factor: 2.238

4.  A Proxy for Detecting IUGR Based on Gestational Age Estimation in a Guatemalan Rural Population.

Authors:  Camilo E Valderrama; Faezeh Marzbanrad; Rachel Hall-Clifford; Peter Rohloff; Gari D Clifford
Journal:  Front Artif Intell       Date:  2020-08-07

5.  A deep learning mixed-data type approach for the classification of FHR signals.

Authors:  Edoardo Spairani; Beniamino Daniele; Maria Gabriella Signorini; Giovanni Magenes
Journal:  Front Bioeng Biotechnol       Date:  2022-08-08
  5 in total

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