Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Investigating pH based evaluation of fetal heart rate (FHR) recordings
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-9701-4203
Laboratory of Knowledge and Intelligent Computing, Department of Computer Engineering, Technological Educational Institute of Epirus, Arta.
CIIRC, Czech Technical, University in Prague.
CIIRC, Czech Technical, University in Prague.
Show others and affiliations
2017 (English)In: Health and Technology, ISSN 2190-7188, E-ISSN 2190-7196, Vol. 7, no 2/3, 241-254 p.Article in journal (Refereed) Published
Abstract [en]

Cardiotocography (CTG) is a standard tool for the assessment of fetal well-being during pregnancy and delivery. However, its interpretation is associated with high inter- and intra-observer variability. Since its introduction there have been numerous attempts to develop computerized systems assisting the evaluation of the CTG recording. Nevertheless these systems are still hardly used in a delivery ward. Two main approaches to computerized evaluation are encountered in the literature; the first one emulates existing guidelines, while the second one is more of a data-driven approach using signal processing and computational methods. The latter employs preprocessing, feature extraction/selection and a classifier that discriminates between two or more classes/conditions. These classes are often formed using the umbilical cord artery pH value measured after delivery. In this work an approach to Fetal Heart Rate (FHR) classification using pH is presented that could serve as a benchmark for reporting results on the unique open-access CTU-UHB CTG database, the largest and the only freely available database of this kind. The overall results using a very small number of features and a Least Squares Support Vector Machine (LS-SVM) classifier, are in accordance to the ones encountered in the literature and outperform the results of a baseline classification scheme proving the utility of using advanced data processing methods. Therefore the achieved results can be used as a benchmark for future research involving more informative features and/or better classification algorithms.

Place, publisher, year, edition, pages
Springer, 2017. Vol. 7, no 2/3, 241-254 p.
National Category
Medical and Health Sciences Signal Processing Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-64813DOI: 10.1007/s12553-017-0201-7Scopus ID: 2-s2.0-85034787986OAI: oai:DiVA.org:ltu-64813DiVA: diva2:1120515
Note

Validerad;2017;Nivå 2;2017-12-05 (rokbeg)

Available from: 2017-07-06 Created: 2017-07-06 Last updated: 2017-12-05Bibliographically approved

Open Access in DiVA

fulltext(1317 kB)5 downloads
File information
File name FULLTEXT01.pdfFile size 1317 kBChecksum SHA-512
182975bbe8e10ba8818a1c1353829785f7785eb99100a7ef5f0e18e1bc5fcb66f4dcfb74c3c42b2d468f6179acef38a05d9e4b5019b50efd27f3bf89475634b6
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopushttps://link.springer.com/content/pdf/10.1007%2Fs12553-017-0201-7.pdf

Authority records BETA

Georgoulas, Georgios

Search in DiVA

By author/editor
Georgoulas, Georgios
By organisation
Signals and Systems
In the same journal
Health and Technology
Medical and Health SciencesSignal ProcessingControl Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 5 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 48 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf