Results 71 to 80 of about 697 (169)

Fetal ECG Extraction from Abdominal Signals: A Review on Suppression of Fundamental Power Line Interference Component and Its Harmonics

open access: yesComputational and Mathematical Methods in Medicine, Volume 2014, Issue 1, 2014., 2014
Interference of power line (PLI) (fundamental frequency and its harmonics) is usually present in biopotential measurements. Despite all countermeasures, the PLI still corrupts physiological signals, for example, electromyograms (EMG), electroencephalograms (EEG), and electrocardiograms (ECG). When analyzing the fetal ECG (fECG) recorded on the maternal
Dragoş-Daniel Ţarălungă   +5 more
wiley   +1 more source

Automatic Identification of Motion Artifacts in EHG Recording for Robust Analysis of Uterine Contractions

open access: yesComputational and Mathematical Methods in Medicine, Volume 2014, Issue 1, 2014., 2014
Electrohysterography (EHG) is a noninvasive technique for monitoring uterine electrical activity. However, the presence of artifacts in the EHG signal may give rise to erroneous interpretations and make it difficult to extract useful information from these recordings.
Yiyao Ye-Lin   +5 more
wiley   +1 more source

Robust Characterization of the Uterine Myoelectrical Activity in Different Obstetric Scenarios

open access: yesEntropy, 2020
Electrohysterography (EHG) has been shown to provide relevant information on uterine activity and could be used for predicting preterm labor and identifying other maternal fetal risks.
Javier Mas-Cabo   +8 more
doaj   +1 more source

Electrohysterogram signal component cataloging with spectral and time-frequency methods [PDF]

open access: yes, 2015
The Electrohysterogram (EHG) is a new instrument for pregnancy monitoring. It measures the uterine muscle electrical signal, which is closely related with uterine contractions.
Sousa, Catarina Maria Martins Ferreira Couto de
core  

Effect of electrode configuration on recognizing uterine contraction with electrohysterogram: Analysis using a convolutional neural network

open access: yesInternational journal of imaging systems and technology (Print), 2020
This paper aimed to evaluate the effect of various electrode configurations on applying a convolutional neural network (CNN) to recognize uterine contraction (UC) with Electrohysterogram (EHG) signals.
Dongmei Hao   +7 more
semanticscholar   +1 more source

Assessment of coupling between trans-abdominally acquired fetal ECG and uterine activity by bivariate phase-rectified signal averaging analysis. [PDF]

open access: yesPLoS ONE, 2014
Couplings between uterine contractions (UC) and fetal heart rate (fHR) provide important information on fetal condition during labor. At present, couplings between UC and fHR are assessed by visual analysis and interpretation of cardiotocography.
Daniela Casati   +7 more
doaj   +1 more source

Characterization and automatic classification of preterm and term uterine records. [PDF]

open access: yesPLoS ONE, 2018
Predicting preterm birth is uncertain, and numerous scientists are searching for non-invasive methods to improve its predictability. Current researches are based on the analysis of ElectroHysteroGram (EHG) records, which contain information about the ...
Franc Jager   +2 more
doaj   +1 more source

Uterine electromyogram database and processing function interface: An open standard analysis platform for electrohysterogram signals

open access: yes, 2010
To access publisher full text version of this article. Please click on the hyperlink in Additional Links fieldThe uterine electromyogram or electrohysterogram (EHG) is one of the most promising biophysical markers of preterm labor.
Terrien, Jérémy   +4 more
core   +1 more source

A REVIEW ON DIFFERENT ARTIFACTS REMOVAL TECHNIQUES IN ELECTROHYSTEROGRAM

open access: yesInternational Journal of Recent Trends in Engineering and Research, 2017
openaire   +2 more sources

Pregnancy Monitoring

open access: yes, 2014
Computational and Mathematical Methods in Medicine, Volume 2014, Issue 1, 2014.
M. Mischi   +4 more
wiley   +1 more source

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