Fetal Heart Rate Monitoring System (FHRMS)

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dc.authoridErtugrul, Duygu Celik -- 0000-0003-1380-705X
dc.contributor.authorErtuğrul Çelik, Duygu
dc.contributor.authorKanmaz, Hakan
dc.contributor.authorYuksel, Mehmet Uğur
dc.contributor.authorElçi, Attila
dc.contributor.authorErtuğrul, Mehmet
dc.contributor.editorReisman, S
dc.contributor.editorAhamed, SI
dc.contributor.editorLiu, L
dc.contributor.editorMilojicic, D
dc.contributor.editorClaycomb, W
dc.contributor.editorMatskin, M
dc.contributor.editorSato, H
dc.contributor.editorNakamura, M
dc.contributor.editorCimato, S
dc.contributor.editorLung, CH
dc.contributor.editorZhang, Z
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-16T09:18:40Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-16T09:18:40Z
dc.date.issued2016
dc.department[Ertugrul, Duygu Celik -- Kanmaz, Hakan -- Yuksel, Mehmet Ugur -- Ertugrul, Mehmet] Istanbul Aydin Univ, Istanbul, Turkey -- [Elci, Attila] Aksaray Univ, Aksaray, Turkey
dc.description40th Annual IEEE Computer Software and Applications Conference Symposium (COMPSAC) -- JUN 10-14, 2016 -- Atlanta, GA
dc.descriptionWOS:000389532200011
dc.description.abstractThis article discusses a new approach to Fetal Heart Rate Monitoring System (FHRMS) via a mobile integrated Doppler device (mDoppler) for monitoring Fetal Heart Rate (FHR) remotely (i.e. home). The aim of the system is to provide ease of FHR monitoring and computing current fetus risk conditions especially for high-risk pregnancy cases via a mobile integrated Doppler device. FHRMS has its own inferring mechanism that provides to analyze current fetus conditions by considering FHR values through connecting a hand held mDoppler device to labour's abdomen during observing period at home. The instantly-gathered FHR values as output signal of the mDoppler during observation period are displayed on the labour's mobile device monitor and also input data set to the FHRMS. The inferred current fetus conditions are coded as Green, Yellow, and Red status by the FHRMS signifying the Normal, Atypical/Warning, and Abnormal/Alarm conditions of the fetus respectively. Thus FHRMS informs the responsible parents, physician and the ambulance service if alarm status is observed. In this research, FHRMS considers 10 sets of FHR instance values for the last 10 gestation weeks (started at 30th up to 40th weeks) from a subjects labour's that are traced as a case study to track the inferencing algorithms of the FHRMS. The FHRMS tracing mechanism is developed from visual analysis algorithms of (Electro Fetal Monitoring) EFM task in literature.
dc.description.sponsorshipIEEE, IEEE Comp Soc, IEEE BigData, IEEE Future Directions, IPS, Korean Inst Informat Scientists & Engineers, CCF, Hewlett Packard Enterprise
dc.identifier.doi10.1109/COMPSAC.2016.116
dc.identifier.endpage70en_US
dc.identifier.isbn978-1-4673-8845-0
dc.identifier.issn0730-3157
dc.identifier.scopusqualityQ4
dc.identifier.startpage65en_US
dc.identifier.urihttps://doi.org/10.1109/COMPSAC.2016.116
dc.identifier.urihttps://hdl.handle.net/20.500.12451/4906
dc.identifier.wosWOS:000389532200011
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartofPROCEEDINGS 2016 IEEE 40TH ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE WORKSHOPS (COMPSAC), VOL 2
dc.relation.ispartofseriesProceedings International Computer Software and Applications Conference
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectSmart Mobile Systems
dc.subjectFetal Heart Rate Monitoring System
dc.subjectMobile Integrated Doppler Devices
dc.subjectE-health Systems
dc.subjectInferencing
dc.titleFetal Heart Rate Monitoring System (FHRMS)
dc.typeConference Object

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