Background: With computerized analysis of fetal heart rate(FHR) data from long-range monitoring, we aimed to comprehensively clarify the characteristics of FHR with increasing gestational age in low-risk pregnant women during the third trimester of pregnancy.
Methods: This was an observational study. 85 fetuses of low-risk pregnant women were included. The data covered 28 ∼ 40 weeks of gestation, and 125 cases of FHR monitoring from 85 fetuses were totally collected. The FHR baseline rate, variability, and acceleration were computationally calculated, analyzed and compared.
Results: The average effective monitoring time for each case was 13.9 ± 4.3 h. FHR baseline gradually decreased as the gestational age progressed, and the maximum FHR baseline appeared at 28-29 weeks, which was 137.5 (133.0, 141.3) bpm, whereas the minimum FHR baseline appeared at 38-39 weeks, that was 132.8 (128.1, 138.4) bpm. FHR variability fluctuated in (4-12)bpm. It gradually increased from 28 to 33 weeks of gestation, reached the maximum of 7.6 (6.0-9.4) bpm, and then decreased until full-term pregnancy. The moderate variability proportion of FHR gradually increased from 28 weeks of gestation, peaked at 32-33 weeks as 65.8%, and then gradually decreased to 56.2% at 37 weeks, which was maintained at this level until 39 weeks. The variation tendency of minimal variability proportion was opposite to moderate variability proportion. When it reached 40 weeks, the minimal and moderate variability proportions were 50.0% and 49.0%, respectively. The FHR acceleration area showed no trend change during the third trimester, while fluctuated in (29.5-42.4) lattices/h.
Conclusion: This study revealed that the characteristics of FHR gradually changed with increasing gestational age, and the most obvious change was observed at 32-33 weeks, demonstrating that the specific gestational weeks may be an important period for the physiological bias of FHR tends to mature.
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http://dx.doi.org/10.1080/14767058.2021.1887120 | DOI Listing |
Schizophr Res
December 2024
Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O'Hara St, Pittsburgh, PA 15213, United States of America. Electronic address:
Cumulative research finds that exposure to childhood trauma, sleep dysfunction, and high stress levels are prevalent in youth diagnosed with and at-risk for psychotic disorders. However, few studies have investigated the association between nightly sleep and moment-to-moment stress in youth who are at familial high-risk (FHR) for psychotic disorders with varying levels of exposure to childhood trauma. The current study examined the day-to-day associations between trauma severity, nightly sleep duration, and next-day momentary stress in 19 FHR and 19 non-psychiatric youth (ages 13-19 years, 66 % girls).
View Article and Find Full Text PDFInterdiscip Sci
December 2024
National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, 169609, Singapore.
Cardiotocography (CTG) is used to assess the health of the fetus during birth or antenatally in the third trimester. It concurrently detects the maternal uterine contractions (UC) and fetal heart rate (FHR). Fetal distress, which may require therapeutic intervention, can be diagnosed using baseline FHR and its reaction to uterine contractions.
View Article and Find Full Text PDFAm J Perinatol
October 2024
Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China.
Objective: Umbilical cord vascular rupture is a rare and severe condition that can occur during labor, leading to adverse outcomes for the fetus before as well as after delivery. Prompt diagnosis and intervention are crucial for improving the chances of a successful outcome. We aimed to analyze cases of umbilical cord vascular rupture during labor to provide insights into this challenging condition.
View Article and Find Full Text PDFBiomed Eng Lett
September 2024
Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, 219 Life Sciences Building, 100 Pingleyuan, Beijing, 100124 China.
In clinical practice, obstetricians use visual interpretation of fetal heart rate (FHR) to diagnose fetal conditions, but inconsistencies among interpretations can hinder accuracy. This study introduces MTU-Net3+, a deep learning model designed for automated, multi-task FHR analysis, aiming to improve diagnostic accuracy and efficiency. The proposed MTU-Net3 + was built upon the UNet3 + architecture, incorporating an encoder, a decoder, full-scale skip connections, and a deep supervision module, and further integrates a self-attention mechanism and bidirectional Long Short-Term Memory layers to enhance its performance.
View Article and Find Full Text PDFBirth
December 2024
Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway.
Background: We aimed to examine the inter-reliability and agreement among midwives when assessing the fetal heart rate (FHR) using the handheld Doppler. The primary aim was to measure the reliability and agreement of FHR baseline (baseline) as beats per minute (bpm). The secondary aims were to measure fluctuations from the baseline, defined as increases and decreases, and classifications (normal or abnormal) of FHR soundtracks.
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