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Protocol for prognosticating PPD using EEG changes during labor pain by uterine contractions: a prospective cohort study in the first stage of labor.
BMC Pregnancy Childbirth
January 2025
Department of Anesthesiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Background: Lack of motivation and behavioral abnormalities are the hallmarks of postpartum depression (PPD). Severe uterine contractions during labor are pain triggers for psychiatric disorders, including PPD in women during the puerperium. Creating biomarkers to monitor PPD may help in its early detection and treatment.
View Article and Find Full Text PDFCharacteristics of phase synchronization in electrohysterography and tocodynamometry for preterm birth prediction.
Heliyon
November 2024
School of Information Convergence, Kwangwoon University, Seoul, South Korea.
Article Synopsis
- This study investigates the use of phase synchronization in electrohysterography (EHG) and tocodynamometry (TOCO) signals to predict preterm births, utilizing advanced machine-learning techniques to analyze the data.
- Researchers focused on the synchronization of specific frequency ranges in EHG signals, finding that lower-frequency signals and their patterns across different regions of the uterus were particularly important for prediction.
- Although TOCO signals didn’t significantly enhance prediction accuracy on their own, their combination with EHG signals improved overall prediction performance, highlighting the potential of EHG analysis for developing better preterm birth prediction models.
Synchronization study of electrohysterography for discrimination of imminent delivery in pregnant women with threatened preterm labor.
Comput Biol Med
January 2025
College of Chemistry and Life Science, Beijing University of Technology, Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing, 100124, China; BJUT-UPV Joint Research Laboratory in Biomedical Engineering, Beijing, and Valencia, Spain, China. Electronic address:
Preterm birth a common and severe pregnancy complications, causing significant health, development, and economic problems. Accurate diagnosis of imminent labor for women with threatened preterm labor (TPL) is crucial. Electrohysterography (EHG), which represents uterine myometrial electrical activity, is a potential tool for predicting preterm birth.
View Article and Find Full Text PDFA computationally efficient anisotropic electrophysiological multiscale uterus model: From cell to organ and myometrium to abdominal surface.
Comput Methods Programs Biomed
December 2024
Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València (Ci2B), Valencia 46022, Spain; BJUT-UPV Joint Research Laboratory in Biomedical Engineering, Beijing, China. Electronic address:
Background And Objective: Preterm labor is a global problem affecting the health of newborns. Despite numerous studies reporting electrophysiological changes throughout pregnancy, the underlying mechanism that triggers labor remains unclear. Electrophysiological modeling can provide additional information to better understand the physiological transition from pregnancy to labor.
View Article and Find Full Text PDFPeak amplitude of the normalized power spectrum of the electromyogram of the uterus in the low frequency band is an effective predictor of premature birth.
PLoS One
September 2024
Department of Obstetrics and Gynecology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
The current trends in the development of methods for non-invasive prediction of premature birth based on the electromyogram of the uterus, i.e., electrohysterogram (EHG), suggest an ever-increasing use of large number of features, complex models, and deep learning approaches.
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