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An Efficient Method for Fetal Electrocardiogram Extraction from the Abdominal Electrocardiogram Signal

Muhammad Asraful Ha, Muhammad Ibn Ibrahi, Mamun Bin Ibn Reaz
2009 Journal of Computer Science  
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

Kwok-Yin Leung
2021 Diagnostics  
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

Anisha M, Dr.S.S Kumar, Benisha M
2014 IOSR Journal of Computer Engineering  
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

Carlos Granero-Belinchon, Stephane G. Roux, Nicolas B. Garnier, Patrice Abry, Muriel Doret
2017 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)  
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

Kumar SS Anisha M
2014 Journal of Health & Medical Informatics  
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

Fujiao He, Yaqin Wang, Yun Xiu, Yixin Zhang, Lizhu Chen
2021 Frontiers in Medicine  
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

Sadot Arciniega-Montiel, Guillermo Ronquillo-Lomeli, Roberto Salas-Zúñiga, Tomás Salgado-Jiménez, Leonardo Barriga-Rodríguez
2020 Applied Sciences  
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]

Walid A.
2012 Recurrent Neural Networks and Soft Computing  
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

Rene Jaros, Radek Martinek, Radana Kahankova
2018 Sensors  
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

Radek Martinek, Martina Ladrova, Michaela Sidikova, Rene Jaros, Khosrow Behbehani, Radana Kahankova, Aleksandra Kawala-Sterniuk
2021 Sensors  
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

Lena Davidson, Mary Regina Boland
2021 Briefings in Bioinformatics  
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

JAESEONG JANG, CHI YOUNG AHN
2016 Journal of the Korea Society for Industrial and Applied Mathematics  
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

Maria Ribeiro, João Monteiro-Santos, Luísa Castro, Luís Antunes, Cristina Costa-Santos, Andreia Teixeira, Teresa S. Henriques
2021 Frontiers in Medicine  
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

Suguru Yasutomi, Tatsuya Arakaki, Ryu Matsuoka, Akira Sakai, Reina Komatsu, Kanto Shozu, Ai Dozen, Hidenori Machino, Ken Asada, Syuzo Kaneko, Akihiko Sekizawa, Ryuji Hamamoto (+1 others)
2021 Applied Sciences  
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

Victor Mor-Avi, Inger E. Gillesberg, Claudia Korcarz, Joanne Sandelski, Roberto M. Lang
1995 Journal of the American College of Cardiology  
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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