Akademik Veri Yönetim Sistemi
40th Annual IEEE Computer Software and Applications Conference Symposium (COMPSAC) / Symposium on Software Engineering Technology and Applications (SETA), Georgia, Amerika Birleşik Devletleri, 10 - 14 Haziran 2016, ss.65-70
This 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.