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DC Field | Value | Language |
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dc.contributor.author | Haritopoulos, M | - |
dc.contributor.author | Illanes, A | - |
dc.contributor.author | Nandi, AK | - |
dc.coverage.spatial | Paphos, CYPRUS | - |
dc.date.accessioned | 2016-07-29T15:27:38Z | - |
dc.date.available | 2016-04-04 | - |
dc.date.available | 2016-07-29T15:27:38Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | Haritopoulos, M., Illanes, A. and Nandi, A.K. (2016) 'Survey on cardiotocography feature extraction algorithms for foetal welfare assessment', in: Kyriacou E., Christofides S., Pattichis C. (eds) XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. IFMBE Proceedings, vol 57. Springer, Cham. https://doi.org/10.1007/978-3-319-32703-7_231. | en_US |
dc.identifier.isbn | 978-3-319-32701-3 | - |
dc.identifier.isbn | 978-3-319-32703-7 | - |
dc.identifier.issn | 1680-0737 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/13044 | - |
dc.description | The original version of this chapter was inadvertently published with an incorrect chapter pagination 1187–1192 and DOI 10.1007/978-3-319-32703-7_230. The page range and the DOI has been re-assigned. The correct page range is 1193–1198 and the DOI is 10.1007/978-3-319-32703-7_231. The erratum to this chapter is available at DOI: 10.1007/978-3-319-32703-7_260 An erratum to this chapter can be found at http://dx.doi.org/10.1007/978-3-319-32703-7_260 An erratum to this chapter can be found at https://doi.org/10.1007/978-3-319-32703-7_260 | - |
dc.description.abstract | Since its inception forty years ago as a way to control birth process, the cardiotocograph (CTG) has emerged over time and became the undisputed leader worldwide of non-invasive intrapartum foetal monitoring systems. The CTG signals conveying a lot of information, it is very difficult to interpret them and act accordingly even for specialists; hence, researchers have started looking for characteristics which could be correlated with a particular pathological state of the foetus. Thereby, many features appeared in the literature, ranging from the most common ones to artificially generated features, and computed using a wide variety of signal processing-based analysis tools: time scale, spectral or non-linear analysis, to name but a few. This survey paper, presents in a hierarchical order the most common processing steps of a CTG signal and focuses primarily on the feature extraction methods for foetal heart rate (FHR) analysis reported in the literature during the last decade. Also, some feature classification methods are reported before a brief discussion which concludes this work. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer International Publishing | en_US |
dc.relation.ispartofseries | IFMBE Proceedings;IFMBE, volume 57 | - |
dc.source | 14th Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON) | - |
dc.source | 14th Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON) | - |
dc.source | 14th Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON) | - |
dc.subject | cardiotocography | en_US |
dc.subject | feature extraction | en_US |
dc.subject | classification | en_US |
dc.subject | foetal heart rate | en_US |
dc.subject | foetal welfare assessment | en_US |
dc.title | Survey on cardiotocography feature extraction algorithms for foetal welfare assessment | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | https://doi.org/10.1007/978-3-319-32703-7_231 | - |
dc.relation.isPartOf | XIV MEDITERRANEAN CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING 2016 | - |
pubs.finish-date | 2016-04-02 | - |
pubs.finish-date | 2016-04-02 | - |
pubs.finish-date | 2016-04-02 | - |
pubs.publication-status | Published | - |
pubs.start-date | 2016-03-31 | - |
pubs.start-date | 2016-03-31 | - |
pubs.start-date | 2016-03-31 | - |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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