Efficient approach for digitization of the cardiotocography signals

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dc.authoridSengur, Abdulkadir/0000-0003-1614-2639
dc.authoridAkbulut, Yaman/0000-0002-4760-4843
dc.authoridKocamaz, Adnan Fatih/0000-0002-7729-8322
dc.authoridBajaj, Varun/0000-0002-8721-1219
dc.authoridComert, Zafer/0000-0001-5256-7648
dc.authorwosidSengur, Abdulkadir/Q-8023-2019
dc.authorwosidAkbulut, Yaman/V-5571-2018
dc.authorwosidKocamaz, Adnan Fatih/C-2820-2014
dc.authorwosidBajaj, Varun/AAP-4660-2020
dc.authorwosidComert, Zafer/F-1940-2016
dc.contributor.authorComert, Zafer
dc.contributor.authorSengur, Abdulkadir
dc.contributor.authorAkbulut, Yaman
dc.contributor.authorBudak, Umit
dc.contributor.authorKocamaz, Adnan Fatih
dc.contributor.authorBajaj, Varun
dc.date.accessioned2024-08-04T20:46:47Z
dc.date.available2024-08-04T20:46:47Z
dc.date.issued2020
dc.departmentİnönü Üniversitesien_US
dc.description.abstractCardiotocography (CTG) is generally provided on printed traces, and digitization of CTG signal is important for forthcoming assessments. In this paper, a new algorithm relies on the box-counting method is offered for the digitization of the CTG signals from CTG printed traces. The introduced algorithm inputs the CTG printed traces and outputs the digital fetal heart rate (FHR) and uterine contraction (UC) signals. The proposed method initially extracts the CTG signal image and gridded background image. Retrieving of the FHR and UC signals on the gridded background disrupts the background grids. So, we employ an algorithm to fix the degraded lines in the gridded background. After the line fixing operation, the boxes in the horizontal and vertical axes are counted for determining the calibration parameters. A set of specific equations are used to determine the calibration parameters. The signal extraction is performed on by red channel thresholding of input CTG printing images. An open-access CTG intrapartum database comprises 552 samples is used in the experiment. As a result, the average correlation coefficients of FHR and UC signals are 0.9811 +/- 0.0251 and 0.9905 +/- 0.0126, respectively. (C) 2019 Elsevier B.V. All rights reserved.en_US
dc.identifier.doi10.1016/j.physa.2019.122725
dc.identifier.issn0378-4371
dc.identifier.issn1873-2119
dc.identifier.scopus2-s2.0-85072302170en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1016/j.physa.2019.122725
dc.identifier.urihttps://hdl.handle.net/11616/98959
dc.identifier.volume537en_US
dc.identifier.wosWOS:000501641200064en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofPhysica A-Statistical Mechanics and Its Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBiomedical signal processingen_US
dc.subjectCTG digitizationen_US
dc.subjectImage processingen_US
dc.subjectFetal heart rate (FHR)en_US
dc.subjectUterine contraction (UC)en_US
dc.subjectCorrelation coefficienten_US
dc.titleEfficient approach for digitization of the cardiotocography signalsen_US
dc.typeArticleen_US

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