基于物联网的胎心监护系统在孕晚期羊水量过少孕妇胎儿监测中的应用研究  

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

作　　者：徐振林 Xu Zhenlin(Fetal heart Care Unit,Shangqiu Maternal and Child Health Care Hospital,Shangqiu,Henan,476000,China)

机构地区：[1]商丘市妇幼保健院胎心监护室,河南商丘476000

出　　处：《黑龙江医学》2024年第1期40-42,共3页Heilongjiang Medical Journal

摘　　要：目的:探讨基于物联网的胎心监护系统在孕晚期羊水量过少孕妇胎儿监测中的应用。方法:将2019年6月—2020年6月商丘市妇幼保健院产科收治的68例孕晚期羊水量过少孕妇设为对照组,将2020年7月—2021年7月收治的70例孕晚期羊水量过少孕妇设为观察组。对照组孕妇采用传统产前监护,观察组孕妇采用基于物联网的胎心监护系统实施监护。比较两组孕妇胎动异常发生率、新生儿无刺激性胎心监护(NST)异常检出率、孕妇不良妊娠结局及孕妇胎心监护满意度。结果:观察组新生儿NST异常检出率高于对照组,差异有统计学意义(U=9.992,P<0.05)。观察组胎动异常发生率比较,差异无统计学意义(χ^(2)=0.032,P>0.05)。观察组新生儿窒息发生率、早产发生率低于对照组,差异有统计学意义(χ^(2)=6.356、2.630,P<0.05);两组产妇不良妊娠结局中中转剖宫产率、新生儿吸入羊水发生率、产后出血发生率、术后感染发生率、新生儿缺血缺氧性脑病发生率比较,差异无统计学意义(χ^(2)=0.708、0.239、0.759、0.183、0.371,P>0.05)。观察组孕妇胎心监护满意度高于对照组,差异有统计学意义(χ^(2)=8.742,P<0.05)。结论:基于物联网的胎心监护系统可有效提高孕晚期羊水量过少孕妇胎儿的监测效果,有效降低孕妇不良妊娠结局发生率,提高孕妇胎心监护满意度。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 abnormality,adverse pregnancy outcome and maternal pregnancy outcome satisfaction were compared between the two groups.Results: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(χ^(2)=0.032,P>0.05).The incidence of neonatal asphyxia and preterm labor in the observation group was lower than that in the control group,and the difference was statistically significant(χ^(2)=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 amniotic 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(χ^(2)=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(χ^(2)=8.742,P<0.05).Conclusion:Internet of Things-based fetal heartbeat monitoring system can effectively improve the mo

关 键 词：胎心监护系统 孕晚期羊水量过少 胎儿监测 妊娠结局 满意度 

分 类 号：R47[医药卫生—护理学]