Doppler Ultrasound Imaging Combined with Fetal Heart Detection in Predicting Fetal Distress in Pregnancy-Induced Hypertension under the Guidance of Artificial Intelligence Algorithm.

Su Liu,Na Luo,Yue Sun,Chinmay Chakraborty

doi:10.1155/2021/4405189

Abstract

This study was to improve the feasibility and economic benefits of intelligent medical system Doppler ultrasound (DUS) imaging technology combined with fetal heart detection to predict the fetal distress in pregnancy-induced hypertension (PIH), so as to reduce the risk of deterioration of the patient's condition. The characteristics of DUS images were analyzed, and a diffusion filter reducing the specificity was adopted to improve the smooth speckle noise of DUS images. 120 pregnant women in hospital were the subjects of the study, all of whom received ultrasound cord blood flow testing and fetal heart monitoring. 88 PIH patients with fetal distress were diagnosed and included in the observation group, and 32 healthy pregnant women tested during the same period were identified as the control group. Clinical data were reviewed and analyzed. The diagnostic rates of fetal distress by simple fetal heart monitoring and DUS detection combined with fetal heart monitoring were compared. The results showed that 26.7% of fetal distress were diagnosed by fetal heart monitoring alone, and 73.3% of fetal distress were diagnosed by combined testing, so the diagnostic accuracy of the combined detection method was greatly higher than the single fetal heart detection (P < 0.05). The Pulsatility index (PI), resistance index (RI), and S/D values detected by the umbilical artery in the observation group were 1.48, 0.85, and 4.31, respectively. The PI, RI, and S/D values detected by the umbilical artery in the control group were 0.96, 0.64, and 3.59, respectively. The results of arterial detection were significantly higher than those of the control group, and the difference was of significant scientific significance (P < 0.05). In summary, the PI and RI values of the middle cerebral artery (MCA) detected by DUS diagnosis can effectively reflect the current status of the fetus in the uterus and reduce the mortality of the fetus. The images guided by DUS imaging technology can clearly show the current status of the fetus in the uterus, effectively improve the medical diagnostic efficiency, and have important reference value for the development of intelligent medical equipment.

Highlights

Fetal distress is a relatively common complication in the perinatal period of pregnant women, and it is a syndrome of fetal life safety due to hypoxia and acidosis in the womb. e incidence rate is about 5.0%, and the incidence is high in late pregnancy, especially in high-pregnancy pregnant women, which can lead to low fetal intelligence, damage to the nervous system, cerebral palsy, and even perinatal death in severe cases [1]
It can make a good prediction of the health of the fetus in the womb of a pregnant woman, and it can effectively observe the fetal movement in the case of uterine contractions [15, 16]. e application of artificial intelligence (AI) medical system in Doppler ultrasound (DUS) images processing reduces the incidence of clinically unsafe accidents
In order to improve the efficiency of fetal distress detection for pregnancy-induced hypertension, this research applied intelligent algorithms to Doppler ultrasound images to detect patients with pregnancy-induced hypertension. en, a robust nonlinear diffusion filter was selected to preprocess the image to improve the efficiency of PIH fetal distress detection

Summary

Introduction

Fetal distress is a relatively common complication in the perinatal period of pregnant women, and it is a syndrome of fetal life safety due to hypoxia and acidosis in the womb. e incidence rate is about 5.0%, and the incidence is high in late pregnancy, especially in high-pregnancy pregnant women, which can lead to low fetal intelligence, damage to the nervous system, cerebral palsy, and even perinatal death in severe cases [1]. Many studies have found that color Doppler ultrasound (DUS) has a significant diagnostic effect, and color Doppler ultrasound combined with fetal heart detection of fetal distress has a high clinical value. With the development of DUS imaging technology, color DUS was born, and portable high-resolution DUS probes are widely used clinically [3, 4]. Fetal heart rate detection is more accurate. Fetal heart detection plays an important role in the diagnosis of the fetus, and it can reflect the fetal heart function of the fetus, which is regulated by the central nervous system [5, 6]. Whether or not the fetus is in good condition can be monitored by electronic fetal heart rate, which can effectively diagnose whether the fetus is hypoxic [7]

Methods

Results

Discussion

Conclusion