A systematic review of 141 articles evaluated non-invasive fECG techniques, proposing a strategy for analyzing fECG and calculating heart rate variability to identify fetal heart abnormalities.
Systematic Review (n=141)
This systematic review synthesizes current methodologies for non-invasive fetal ECG analysis and proposes a strategy for calculating heart rate variability to identify fetal heart abnormalities.
An electrocardiogram (ECG) is a vital diagnostic tool that provides crucial insights into the heart rate, cardiac positioning, origin of electrical potentials, propagation of depolarization waves, and the identification of rhythm and conduction irregularities. Analysis of ECG is essential, especially during pregnancy, where monitoring fetal health is critical. Fetal electrocardiography (fECG) has emerged as a significant modality for evaluating the developmental status and well-being of the fetal heart throughout gestation, facilitating early detection of congenital heart diseases (CHDs) and other cardiac abnormalities. Typically, fECG signals are acquired non-invasively through electrodes placed on the maternal abdomen, which reduces risk and enhances user convenience. However, these signals are often contaminated via various sources, including maternal electrocardiogram (mECG), electromagnetic interference from power lines, baseline drift, motion artifacts, uterine contractions, and high-frequency noise. Such disturbances impair signal fidelity and threaten diagnostic accuracy. This scoping review adhering to PRISMA-ScR guidelines aims to highlight the methods for signal acquisition, existing databases for validation, and a range of algorithms proposed by researchers for improving the quality of fECG. A comprehensive examination of 157,000 uniquely identified publications from Google Scholar, PubMed, and Web of Science have resulted in the selection of 6210 records through a systematic screening of titles, abstracts, and keywords. Subsequently, 141 full-text articles were considered eligible for inclusion in this study (from 1950 to 2026). By critically evaluating established techniques in the current literature, a strategy is proposed for analyzing fECG and calculating heart rate variability (HRV) for identifying fetal heart-related abnormalities. Advances in these methodologies could significantly aid in the diagnosis of fetal heart diseases, assisting timely clinical interventions and prevention.
Dash et al. (2025) conducted a systematic review in Fetal heart monitoring (n=141). Non-invasive fetal electrocardiography (fECG) analysis techniques was evaluated on Methods for signal acquisition, validation databases, and algorithms for improving fECG quality. A systematic review of 141 articles evaluated non-invasive fECG techniques, proposing a strategy for analyzing fECG and calculating heart rate variability to identify fetal heart abnormalities.