The main aim of our work was to assess the reliability of indirect abdominal electrocardiography as an alternative to the commonly used Doppler ultrasound monitoring technique. As a reference method, we used direct fetal electrocardiography. Direct and abdominal signals were acquired simultaneously, using dedicated instrumentation. The developed method of maternal signal suppression as well as fetal QRS complexes detection was presented. Recordings were collected during established labors, each consisted of four signals from the maternal abdomen and the reference signal acquired directly from the fetal head. After assessing the performance of the QRS detector, the accuracy of fetal heart rate measurement was evaluated. Additionally, to reduce the influence of inaccurately detected R-waves, some validation rules were proposed. The obtained results revealed that the indirect method is able to provide an accuracy sufficient for a reliable assessment of fetal heart rate variability. However, the method is very sensitive to recording conditions, influencing the quality of signals. Our investigations confirmed that abdominal electrocardiography, even in its current stage of development, offers an accuracy equal to or higher than an ultrasound method, at the same time providing some additional features.
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http://dx.doi.org/10.1515/bmt-2011-0130 | DOI Listing |
Comput Biol Med
January 2025
Institute of Biomedical Engineering, University of Oxford, Old Road Campus Research Building, Oxford, OX3 7DQ, UK.
Fetal echocardiography (ultrasound of the fetal heart) plays a vital role in identifying heart defects, allowing clinicians to establish prenatal and postnatal management plans. Machine learning-based methods are emerging to support the automation of fetal echocardiographic analysis; this review presents the findings from a literature review in this area. Searches were queried at leading indexing platforms ACM, IEEE Xplore, PubMed, Scopus, and Web of Science, including papers published until July 2023.
View Article and Find Full Text PDFJACC Adv
December 2024
Department of Obstetrics and Gynaecology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.
Background: Rheumatic heart disease (RHD) remains as 1 of the major contributors to indirect pregnancy-related mortality and morbidity worldwide and disproportionately affects marginalized populations.
Objectives: In this scoping review, the authors sought to explore the socioeconomic, cultural, and health care access-related causes of global disparities in outcomes of pregnancy among individuals with RHD.
Methods: We performed a literature search of all studies published between January 1, 1990, and January 1, 2022, that investigated causes for disparate outcomes in pregnant individuals with RHD.
J Transl Med
January 2025
Department of Anatomy & Embryology, Leiden University Medical Center, P.O. Box 9600, Postal Zone: S-1-P, 2300 RC, Leiden, The Netherlands.
Background: Prenatal development of autonomic innervation of sinus venosus-related structures might be related to atrial arrhythmias later in life. Most of the pioneering studies providing embryological background are conducted in animal models. To date, a detailed comparison with the human cardiac autonomic nervous system (cANS) is lacking.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Obstetrics and Gynecology, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA.
Prenatal sonographic diagnosis of congenital heart disease (CHD) can lead to improved morbidity and mortality. However, the diagnostic accuracy of ultrasound, the sole prenatal screening tool, remains limited. Failed prenatal or early newborn detection of cyanotic CHD (CCHD) can have disastrous consequences.
View Article and Find Full Text PDFPediatr Cardiol
January 2025
Department of Pediatric Cardiology, Seattle Children's Hospital, Seattle, WA, USA.
Fetal echocardiography (FE) is recommended for parents with congenital heart disease (pCHD) due to a 3-6% recurrence risk of congenital heart disease (CHD). This study aimed to evaluate the cost of FE for detecting neonatal CHD in pCHD. FE data were collected between 12/2015 and 12/2022.
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