Analysis of fetal heart rate signal based on neighborhood-based variance compression method

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dc.authorid0000-0001-5256-7648en_US
dc.authorid0000-0002-7729-8322en_US
dc.authorid0000-0003-1840-9958
dc.contributor.authorArıcan, Murat
dc.contributor.authorCömert, Zafer
dc.contributor.authorKocamaz, Adnan Fatih
dc.contributor.authorPolat, Kemal
dc.date.accessioned2021-06-23T19:50:03Z
dc.date.available2021-06-23T19:50:03Z
dc.date.issued2018
dc.departmentBAİBÜ, Fen Bilimleri Enstitüsüen_US
dc.descriptionInternational Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 28-30, 2018 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractCardiotocography (CTG) is a fetal monitoring technique and it constitutes two distinct simultaneously recorded biophysical signals which are fetal heart rate (FHR) and uterine contractions (UC). In clinical practice, CTG traces are interpreted visually by obstetricians and midwives, and such a visual examination leads to an increase in disagreement level among observers. Although existing of several guidelines to ensure more consistent interpretation, computerized CTG analysis is seen as the most promising way to tackle the disadvantages which CTG has. In this study, we deal with a neighborhood-based variance compression method on FHR signals. For this particular purpose, we employed the proposed compression algorithms on normal and hypoxic samples obtained from an open-access intrapartum CTG database. The diagnostic indices obtained from time, frequency and bi-spectral domains were taken into account in the experiment. Also, the differences in original and compressed signal were examined statistically. The experimental results point out that the proposed algorithm can be used successfully for FHR signal compression.en_US
dc.description.sponsorshipInonu Univ, Comp Sci Dept, IEEE Turkey Sect, Anatolian Scien_US
dc.identifier.isbn978-1-5386-6878-8
dc.identifier.scopus2-s2.0-85062561839en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12491/9690
dc.identifier.urihttps://ieeexplore.ieee.org/document/8620898
dc.identifier.wosWOS:000458717400175en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorArıcan, Murat
dc.institutionauthorPolat, Kemal
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2018 International Conference On Artificial Intelligence And Data Processing (Idap)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCardiotocographyen_US
dc.subjectFetal Heart Rateen_US
dc.subjectCompressionen_US
dc.subjectNeighborhood-based Variance Compressionen_US
dc.titleAnalysis of fetal heart rate signal based on neighborhood-based variance compression methoden_US
dc.typeConference Objecten_US

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