Literature DB >> 2194980

Computer analysis of antepartum fetal heart rate: 2. Detection of accelerations and decelerations.

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

Abstract

Based upon a previously described procedure for automated baseline determination in antepartum fetal heart rate recordings, a programme has been developed for recognition of accelerations and decelerations. Detection of these deviations from the baseline depends on criteria for amplitude and duration, with special account for signal loss. The described automated analysis provides an objective tool for description of antepartum fetal heart rate patterns. A first evaluation with respect to its capacity to discriminate between different fetal heart rate patterns in relation to fetal rest-activity patterns shows promising results.

Mesh:

Year:  1990        PMID: 2194980     DOI: 10.1016/0020-7101(90)90031-o

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


  4 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.  Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithms.

Authors:  Paul Fergus; Abir Hussain; Dhiya Al-Jumeily; De-Shuang Huang; Nizar Bouguila
Journal:  Biomed Eng Online       Date:  2017-07-06       Impact factor: 2.819

  4 in total

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