ArticleIEEE journal of biomedical and health informatics2018
Tracking Fetal Movement Through Source Localization From Multisensor Magnetocardiographic Recordings.
Article in IEEE journal of biomedical and health informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Assessing fetal movements in pregnancy: A qualitative evidence synthesis of women's views, perspectives and experiences.BMC pregnancy and childbirth · 2021Pooled it
- Wearable Sensors, Data Processing, and Artificial Intelligence in Pregnancy Monitoring: A Review.Sensors (Basel, Switzerland) · 2024Review
- Non-Contact Monitoring of Fetal Movement Using Abdominal Video Recording.Sensors (Basel, Switzerland) · 2023Article
- Characterizing Spatial Signatures of Gastric Electrical Activity Using Biomagnetic Source Localization.IEEE transactions on bio-medical engineering · 2022Article
- The effect of formal fetal movement counting on maternal psychological outcomes: A systematic review and meta-analysis.European journal of midwifery · 2022Review
- Novel non-invasive in-house fabricated wearable system with a hybrid algorithm for fetal movement recognition.PloS one · 2021Article
- Source localization for gastric electrical activity using simulated magnetogastrographic data.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Due to its high spatial and temporal resolution, fetal magnetocardiography (fMCG) measurements have been used for fetal movement (FM) detection in several studies, which considered the changes in the amplitude and/or morphology of measured fMCG signals. Using source localization for fMCG measurements, we propose a novel method to fit a magnetic dipole moment to fetal heart signals and investigate the positional changes of magnetic dipole in order to detect FMs. We first split each fMCG recording into 6-s time windows. Then, the magnetic dipole location and orientation for each time window are estimated using our inverse solution model. Finally, the distance between magnetic dipole positions in adjacent time windows is computed. Also, we calculate the dot products of the normalized magnetic dipoles to monitor the orientational changes. We analyzed 28 fMCG measurements from 23 subjects to investigate accuracy of the dipole fitting results. For each dipole fit, our model described the measured data with a goodness-of-fit value over 97% and with a fitting error of less than 2%. We observed that magnetic dipole positions significantly moved for some time windows. The time points at which the significant movement was observed were correlated with the heart rate acceleration as well. In addition to identifying the time points of the movement, our method is capable of observing rotational movement checking orientation of the dipoles.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.