The Effect of Spinal Hyperbaric Bupivacaine-Fentanyl or Hyperbaric Bupivacaine on Uterine Tone and Fetal Heart Rate in Laboring Women: A Randomized Controlled Study

Fetal Heart Rate Extraction Based on Wavelet Transform to Prevent Fetal Distress In Utero

In order to improve the effective extraction of fetal heart rate and prevent fetal distress in utero, a study of fetal heart rate feature extraction based on wavelet transform to prevent fetal distress in utero was proposed. This paper adopts a fetal heart rate detection method based on the maximum value of the binary wavelet transform modulus. The method is simulated by the Doppler fetal heart signal obtained from the clinic. Compared with the original curve, the transformed curve can roughly see the change rule of the original signal and identify the peak point of the signal, but due to the large disturbance of the peak point, the influence on the computer processing is also great. The periodicity of the transformed signal is greatly enhanced, making it easier to deal with the computation. A total of 300 pregnant women with full-term fetal heart monitoring from January 2018 to January 2020 were selected as the research subjects and divided into the observation group and the control group. The observation group consisted of 100 patients with abnormal fetal heart monitoring, and the control group consisted of 200 patients with normal fetal heart monitoring. The uterine contractions and fetal heart rate were recorded, and the incidence of fetal distress, cesarean section, neonatal asphyxia, and amniotic fluid and fecal contamination were observed. The incidence of fetal distress, cesarean section, neonatal asphyxia, and amniotic fluid fecal stain in the observation group were significantly higher than those in the control group. Fetal heart monitoring can accurately judge the situation of the fetus in pregnant women and timely diagnose the abnormal fetal heart rate, which has a better effect on the prognosis of perinatal infants and can reduce their mortality. It can effectively solve the problems existing in the autocorrelation algorithm and extract the fetal heart rate more accurately. It is an effective improved scheme of fetal heart rate extraction. It is very helpful in preventing fetal distress in utero.

Application of Ultrasonic Doppler Technology Based on Wavelet Threshold Denoising Algorithm in Fetal Heart Rate and Central Nervous System Malformation Detection

This paper discusses the clinical value of standardized early pregnancy ultrasound structure screening in the diagnosis of fetal central nervous system (CNS) malformations. In this paper, 6902 cases (8336 fetuses) of 11～13 + 6 weeks of gestation (5468 cases of singleton pregnancy and 1434 cases of twin pregnancy) underwent standardized early pregnancy ultrasound structure screening. While tracking the pregnancy process and clinical outcome, we found that 13 cases of CNS malformations (10 cases of single pregnancy, 3 cases of twin pregnancy) were detected by prenatal ultrasound in 6902 cases (8336 fetuses) 11～13 + 6 weeks of gestation including 5 cases of exposed brain malformations. There were 4 cases of children with cerebral sickle disease, 2 cases of forebrain without splitting, 1 case of meningocele, and 1 case of open spina bifida. There were 4 cases with other structural abnormalities and 3 cases with abnormal karyotype. Follow-up results of 13 fetuses indicated that except for 3 cases of twin malformed fetuses who continued to be pregnant after selective reduction, ultrasound results of the remaining fetuses were consistent with autopsy results after the induction of labor. For this reason, it can be concluded that standardized ultrasound structural screening during early pregnancy can detect fetal CNS malformations early and has important clinical value in reducing the birth rate of malformed fetuses and guiding obstetric treatment.