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Foetal motion classification using optical flow displacement histograms

Published: 26 October 2011 Publication History

Abstract

Foetal movement has been linked with foetal well-being. In the absence of medical input, its estimation depends exclusively on the mother's subjective opinion. Automatic classification of foetal movement from segmented two dimensional ultrasound scans is a step towards automatic estimation of foetal well-being through foetal motion evaluation. In this paper, optical flow displacement histograms are used to train a backpropagation neural network for classifying foetal movement by means of manually segmented frames that were evaluated independently by two medical experts. Results are promising towards developing an automated foetal motion analysis system but there is still the need for further testing of the hypothesis on a larger number of input samples.

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Cited By

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  • (2016)Feasibility Study of a New Method for Low-Complexity Fetal Movement Detection From Abdominal ECG RecordingsIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2015.245226620:5(1361-1368)Online publication date: Sep-2016
  • (2014)Fetal movement detection based on QRS amplitude variations in abdominal ECG recordings2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society10.1109/EMBC.2014.6943874(1452-1455)Online publication date: Aug-2014

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cover image ACM Other conferences
ISABEL '11: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
October 2011
949 pages
ISBN:9781450309134
DOI:10.1145/2093698
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Universitat Pompeu Fabra
  • IEEE
  • Technical University of Catalonia Spain: Technical University of Catalonia (UPC), Spain
  • River Publishers: River Publishers
  • CTTC: Technological Center for Telecommunications of Catalonia
  • CTIF: Kyranova Ltd, Center for TeleInFrastruktur

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2011

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Author Tags

  1. foetal motion
  2. optical flow

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ISABEL '11
Sponsor:
  • Technical University of Catalonia Spain
  • River Publishers
  • CTTC
  • CTIF

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Cited By

View all
  • (2016)Feasibility Study of a New Method for Low-Complexity Fetal Movement Detection From Abdominal ECG RecordingsIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2015.245226620:5(1361-1368)Online publication date: Sep-2016
  • (2014)Fetal movement detection based on QRS amplitude variations in abdominal ECG recordings2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society10.1109/EMBC.2014.6943874(1452-1455)Online publication date: Aug-2014

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