Literature DB >> 32040634

Acquisition and Analysis of Electrohysterogram Signal.

Parameshwari R1, Shenbaga Devi S2.   

Abstract

Electrohysterogram (EHG) signal is the signal related to action potentials propagating through smooth muscle cells of the uterus (myometrium) to the abdomen of pregnant women which is also known as uterine contraction signal. Cardiotocography (CTG) is the most common method used for monitoring fetal heart rate (FHR) and uterine contractions during pregnancy and labor. This method detects mechanical activity of fetal heart and uterus, however, it provides low accuracy and sensibility and hence more accurate methods are required. The abdominal electrode method of FECG monitoring and Electrohysterography (EHG) are alternative noninvasive method to monitor the FHR and uterine contractions during pregnancy which provides better results compared to CTG. Each information such as the frequency of uterine contractions, length of the contraction and contraction power of uterus, indicates the condition of the uterus which will help the obstetricians to identify the progress of labor. All these above mentioned parameters can be identified from the EHG signal acquired non-invasively by placing the electrodes on the abdomen of the pregnant women. In this work the acquisition of EHG signal as well as analysis of EHG signal in both antepartum condition and labor condition have been carried out and parameters such as number of contractions, contraction duration, amplitude, power of contraction are computed and the quantitative analysis of EHG signals in both above mentioned conditions are performed and it is compared with the simultaneously recorded uterine contraction signal parameters from Cardiotocography (CTG).

Entities:  

Keywords:  CTG; EHG; FHR; Regression; Tocography; Uterine contraction

Mesh:

Year:  2020        PMID: 32040634     DOI: 10.1007/s10916-020-1523-y

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  7 in total

1.  Quantitative analysis of contraction patterns in electrical activity signal of pregnant uterus as an alternative to mechanical approach.

Authors:  Janusz Jezewski; Krzysztof Horoba; Adam Matonia; Janusz Wrobel
Journal:  Physiol Meas       Date:  2005-07-01       Impact factor: 2.833

2.  Improved propagation in myometrium associated with gap junctions during parturition.

Authors:  S M Miller; R E Garfield; E E Daniel
Journal:  Am J Physiol       Date:  1989-01

3.  Feature Extraction and Classification of EHG between Pregnancy and Labour Group Using Hilbert-Huang Transform and Extreme Learning Machine.

Authors:  Lili Chen; Yaru Hao
Journal:  Comput Math Methods Med       Date:  2017-02-19       Impact factor: 2.238

4.  Automated electrohysterographic detection of uterine contractions for monitoring of pregnancy: feasibility and prospects.

Authors:  C Muszynski; T Happillon; K Azudin; J-B Tylcz; D Istrate; C Marque
Journal:  BMC Pregnancy Childbirth       Date:  2018-05-08       Impact factor: 3.007

5.  Development of Electrohysterogram Recording System for Monitoring Uterine Contraction.

Authors:  Dongmei Hao; Yang An; Xiangyun Qiao; Qian Qiu; Xiya Zhou; Jin Peng
Journal:  J Healthc Eng       Date:  2019-07-01       Impact factor: 2.682

6.  Evaluation of convolutional neural network for recognizing uterine contractions with electrohysterogram.

Authors:  Dongmei Hao; Jin Peng; Ying Wang; Juntao Liu; Xiya Zhou; Dingchang Zheng
Journal:  Comput Biol Med       Date:  2019-08-19       Impact factor: 4.589

7.  Application of decision tree in determining the importance of surface electrohysterography signal characteristics for recognizing uterine contractions.

Authors:  Dongmei Hao; Qian Qiu; Xiya Zhou; Yang An; Jin Peng; Lin Yang; Dingchang Zheng
Journal:  Biocybern Biomed Eng       Date:  2019 Jul-Sep       Impact factor: 4.314

  7 in total

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