Study on the Application of Internet of Things Based Fetal Heartbeat Monitoring System in Fetal Monitoring of Pregnant Women with Low Amniotic Fluid Volume in Late Pregnancy
Objective:To investigate the application of an Internet of Things-based fetal heartbeat monitoring system for fetal monitoring of pregnant women with low amniotic fluid volume in late pregnancy.Methods:68 cases of pregnant women with low amniotic fluid in late pregnancy admitted to the hospital from June 2019 to June 2020 were set as the control group,and 70 cases of pregnant women with low amniotic fluid in late pregnancy admitted from July 2020 to July 2021 were set as the observation group.The control group used traditional prenatal monitoring,and the observation group used the Internet of Things-based fetal heartbeat monitoring system to implement monitoring.The incidence of abnormal fetal movement,detection rate of neonatal NST ab-normality,adverse pregnancy outcome and maternal pregnancy outcome satisfaction were compared between the two groups.Re-sults:The detection rate of NST abnormalities in newborns in the observation group was higher than that in the control group,and the difference was statistically significant(U=9.992,P＜0.05).The difference in the incidence of abnormal fetal movement between the two groups was not statistically significant(χ2=0.032,P＞0.05).The incidence of neonatal asphyxia and preterm labor in the ob-servation group was lower than that in the control group,and the difference was statistically significant(χ2=6.356,2.630,P＜0.05).There was no statistically significant difference in the rates of intermediate cesarean section,incidence of neonatal aspiration of am-niotic fluid,incidence of postpartum hemorrhage,incidence of postoperative infections,and incidence of neonatal ischemic-hypoxic encephalopathy in the two groups in terms of adverse pregnancy outcomes(χ2=0.708,0.239,0.759,0.183,0.371,P＞0.05).The satisfaction of fetal cardiac monitoring in the observation group was higher than that in the control group,and the difference was statistically significant(χ2=8.742,P＜0.05).Conclusion:Internet of Things-based fetal heartbeat monitoring system can effectively improve the monitoring effect of the fetus in pregnant women with low amniotic fluid volume in late pregnancy,effectively reduce the incidence of adverse pregnancy outcomes in pregnant women,and improve the satisfaction of fetal heartbeat monitoring in preg-nant women.
Fetal heart rate monitoring systemOligohydramnios in the third trimesterFetal monitoringPregnancy outcomeSatisfaction
NETL
NSTL
万方数据
