 Late pregnancy analysis with Yunban’s remote fetal monitoring systemQiuping Wang, Weihua Yang, Lie Li, Guokai Yan, Huihui Wang and Jianqiang Li International Journal of Distributed Sensor Networks, 2019, vol. 15, issue 3, 1550147719832835 Abstract: With the adoption of the two-child policy, there has been a large increase in women of older maternal and high-risk pregnant women. So, it is necessary to analyze the health status of women in the late pregnancy on time. To analyze the effect on using remote fetal monitoring on women in the late pregnancy, we selected women in the late stage of pregnancy in our hospital as research subjects. They were randomly divided into two groups: the experimental group, which engaged in remote fetal monitoring, and the control group, which adopted traditional cardiac monitoring. In order to get more effective data, we used the Kalman filter and audio repair algorithms to preprocess the collected data. During follow-up observation, we compared the two groups using neonatal cardiac monitoring by employing the non-stress test and observed the occurrence of neonatal asphyxia. The incidence of neonatal abnormal non-stress test in the experimental group and the control group was 33.6% and 17.3%, respectively; the difference was statistically significant ( p   Keywords: Late pregnancy; remote fetal monitoring; Kalman filter; repair algorithm (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:15:y:2019:i:3:p:1550147719832835 Access Statistics for this article More articles in International Journal of Distributed Sensor Networks |
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