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An Efficient Method for Fetal Electrocardiogram Extraction from the Abdominal Electrocardiogram Signal
2009
Journal of Computer Science
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A new methodology by combining the Artificial Neural Network (ANN) and Correlation (ANNC) approach had been proposed in this study. ...
Problem statement: FECG (Fetal Electrocardiogram) signal contains potentially precise information that could assist clinicians in making more appropriate and timely decisions during pregnancy and labor ...
ACKNOWLEDGEMENT The researcher would like to express sincere gratitude to the Ministry of Science, Technology and Innovation of Malaysia for providing fund for the research under eScienceFund grant (Project ...
doi:10.3844/jcssp.2009.619.623
fatcat:rp5cmnllffa6xji2bfbdmb6h6m
Applications of Advanced Ultrasound Technology in Obstetrics
2021
Diagnostics
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tracking of the fetal heart, and artificial intelligence. ...
In particular, whether these technologies can improve the diagnostic capability, functional analysis, workflow, and ergonomics of obstetric ultrasound examinations will be discussed. ...
Further improvement of algorithm and technology are required prior to using AI applications in clinical practice. ...
doi:10.3390/diagnostics11071217
fatcat:7qdoog64pja53h4cq3zfnodxwa
Methodological Survey on Fetal ECG Extraction
2014
IOSR Journal of Computer Engineering
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A methodological study has been carried out to show the effectiveness of various methods which helps in understanding of Fetal ECG signal and its analysis procedures by providing valuable information. ...
Clinically significant information in the Fetal Electrocardiogram signal is often masked by Maternal Electrocardiogram (MECG) considered as the most predominant interference, power line interference, and ...
Fetal heart rate was calculated by counting the detected R peaks. ...
doi:10.9790/0661-1657105115
fatcat:s3mvq2asvjcppohmezzhpz4u6u
Mutual information for intrapartum fetal heart rate analysis
2017
2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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The analysis of the temporal dynamics in intrapartum fetal heart rate (FHR), aiming at early detection of fetal acidosis, constitutes an intricate signal processing task, that continuously receives significant ...
The present contribution aims to show how mutual information enhances characterization of FHR temporal dynamics and improves fetal acidosis detection performance. ...
INTRODUCTION Intrapartum fetal heart rate monitoring. ...
doi:10.1109/embc.2017.8037247
pmid:29060291
dblp:conf/embc/Granero-Belinchon17
fatcat:wipmcc5fzbbvfn53fe22jm5pde
Methodological Survey on Fetal ECG Extraction
2014
Journal of Health & Medical Informatics
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A methodological study has been carried out to show the effectiveness of various methods which helps in understanding of Fetal ECG signal and its analysis procedures by providing valuable information. ...
Clinically significant information in the Fetal Electrocardiogram signal is often masked by Maternal Electrocardiogram (MECG) considered as the most predominant interference, power line interference, and ...
Fetal heart rate was calculated by counting the detected R peaks. ...
doi:10.4172/2157-7420.1000169
fatcat:yylfbjadgngxtljrmhb757hpi4
Artificial Intelligence in Prenatal Ultrasound Diagnosis
2021
Frontiers in Medicine
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Given the unique position of ultrasound (US) in prenatal screening, the research on AI in prenatal US has practical significance with its application to prenatal US diagnosis improving work efficiency, ...
This review provides an overview of recent studies that have applied AI technology to prenatal US diagnosis and explains the challenges encountered in these applications. ...
AI research is expected to improve the detection rate of fetal heart abnormalities with US. ...
doi:10.3389/fmed.2021.729978
pmid:34977053
pmcid:PMC8716504
fatcat:ar3fgdoehnce5gzdfspzp4buzq
Compensation of Measurement Uncertainty in a Remote Fetal Monitor
2020
Applied Sciences
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We are proposing an approach that improves the data's lack of reliability that accompanies the use of a remote fetal monitor. ...
In medical technological implementation, a safe, efficient, and reliable operation must be guaranteed, and the main problem is that remote fetal monitor gathers just a few samples, so the hypothesis of ...
Acknowledgments: Authors acknowledge Carlos Arturo Rebolledo Fernandez and Julio Cesar Ramirez Arguello for supporting the project logistic. ...
doi:10.3390/app10093274
fatcat:mooexyzf7rasvipf5gql4yrpnm
Detection and Classification of Adult and Fetal ECG Using Recurrent Neural Networks, Embedded Volterra and Higher-Order Statistics
[chapter]
2012
Recurrent Neural Networks and Soft Computing
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It extends that to non-invasive fetal heartbeat detection, during labour. The work is also extended to classify adult heart abnormalities based on the phases of the higher-order statistics. ...
226 This chapter investigates the application of recurrent neural networks to the detection and classification of ECG signals. ...
The application of this auxiliary routine leads to a maternal heart rate with an accuracy of 99.85%. www.intechopen.com Table 2 .1 shows the fetal heart detection quality and classification rate using ...
doi:10.5772/35694
fatcat:2v4s5b5s55gtngnigj3fmyb66e
Non-Adaptive Methods for Fetal ECG Signal Processing: A Review and Appraisal
2018
Sensors
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methods of signal processing and have good accuracy and speed of algorithms. ...
This article aims to present an extensive literature survey of different non-adaptive signal processing methods applied for fetal electrocardiogram extraction and enhancement. ...
Bemmel [59] shows a method which includes auto correlation and cross correlation techniques for the detection of weak fECG signal from maternal aECG. ...
doi:10.3390/s18113648
fatcat:x3k6uromwzarpdsfobeogh5zk4
Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part I: Cardiac Signals
2021
Sensors
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This paper presents an extensive literature review of the methods for the digital signal processing of cardiac bioelectrical signals that are commonly applied in today's clinical practice. ...
It also covers to the extreme extent of classical and advanced approaches to the alleviation of noise contamination such as digital adaptive and non-adaptive filtering, signal decomposition methods based ...
Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s21155186
fatcat:pnqac23heffh3ipgb5jwgljzsq
Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes
2021
Briefings in Bioinformatics
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Development of novel informatics methods focused on improving pregnancy outcomes remains an active area of research. ...
and improve outcomes. ...
image correlation (STIC) Describe an algorithm to automatically locate QRS complexes in non-invasive fetal ECG signals Present an efficient unsupervised algorithm for fetal QRS complex detection from ...
doi:10.1093/bib/bbaa369
pmid:33406530
pmcid:PMC8424395
fatcat:rgsf4pdmbvdcdmcwz4zf3hwaca
INDUSTRIAL MATHEMATICS IN ULTRASOUND IMAGING
2016
Journal of the Korea Society for Industrial and Applied Mathematics
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In this article, we describe a brief history of ultrasound imaging, its basic principle, its applications in obstetrics/gynecology, cardiology and radiology, domestic-industrial products, contributions ...
In order to satisfy those demands, mathematics should be used properly and effectively in ultrasound imaging. ...
We would like to thank reviewers for their detailed comments and suggestions to improve the paper. Also, we thank Haeeun Han for her help with rendering the TOC art. ...
doi:10.12941/jksiam.2016.20.175
fatcat:dthqnsv4xnbubd7tnnangp5hty
Non-linear Methods Predominant in Fetal Heart Rate Analysis: A Systematic Review
2021
Frontiers in Medicine
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Many mathematical analyses were proposed to evaluate fetal heart rate variability. ...
The analysis of fetal heart rate variability has served as a scientific and diagnostic tool to quantify cardiac activity fluctuations, being good indicators of fetal well-being. ...
in the signal, identification of singularities, and auto-similarity detection. ...
doi:10.3389/fmed.2021.661226
pmid:34917624
pmcid:PMC8669823
fatcat:4pinewrmmja7xjowut5cgwt4gi
Shadow Estimation for Ultrasound Images Using Auto-Encoding Structures and Synthetic Shadows
2021
Applied Sciences
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In this paper, we propose an auto-encoding structure that estimates the shadowed areas and their intensities. ...
The model once splits an input image into an estimated shadow image and an estimated shadow-free image through its encoder and decoder. Then, it combines them to reconstruct the input. ...
It shows that the segmentation results can be improved by knowing the presence of shadows and it is important to detect shadow precisely. ...
doi:10.3390/app11031127
fatcat:vw42d7eapjgvtgq2cyivnwclh4
950-96 Quantification of Left Ventricular Function by Applying Signal Averaging to Echocardiographic Automated Border Detection
1995
Journal of the American College of Cardiology
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Results: 1) The correlation between M-mode and raw AQ was 0.86, vS. 0.95 between M-mode and FF (p < 0.0011. 2) The number of reversals per cycle was 13 ± 3.5 for AQ vS. 3.1 ± 3 for FF (p < 0.001). ...
The scan incorporates a detailed anatomical survey of the fetus and if includes at least a four chamber view, it is an excellent opportunity to detect congenital heart defects. ...
Congenital heart disease (CHD) is the most common congenital malformation with an incidence rate of 0.7%. ...
doi:10.1016/0735-1097(95)92209-n
fatcat:tffabl446rcmzn6ncjppv2eepy
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