Literature DB >> 34178173

Electrodes in external electrohysterography: a systematic literature review.

Thierry R Jossou1,2, Aziz Et-Tahir2, Zakaria Tahori3, Abdelmajid El Ouadi3, Daton Medenou1, Abdelmajid Bybi2, Latif Fagbemi1, Mohamed Sbihi2, Davide Piaggio4.   

Abstract

BACKGROUND: In low-income countries, pregnant women do not have easy access to health care, especially in rural and peri-urban areas. In this context, they can be surprised by the uterine contractions that precede childbirth and sometimes find themselves giving birth at home or on the way to the nearest health facility (located miles away from their home). In view of the development of an external uterine electrohysterogram acquisition system for labour prediction, a review of the literature on electrodes and their characteristics is necessary.
METHODS: A comprehensive literature review was conducted to collate information on the use of electrodes in external EHG recording and their characteristics.
RESULTS: Wet electrodes based on Ag/AgCl redox chemistry are the most common type of electrodes for EHG, employed in different configurations on the pregnant woman's abdomen. All positioning configurations are around the vertical median axis if they are not placed directly on it. Positioning below the navel seems to be the most efficient. The number of source, reference, and ground electrodes used varies from one author to another, as does the distance between the electrodes.
CONCLUSION: Two well-positioned source electrodes on the vertical median axis, with ground electrode on the right side of the hip and reference one on the left side, are able to generate a good external EHG recording signal. The minimum allowed inter-electrode distance is approximately 17.5 to 25mm. © International Union for Pure and Applied Biophysics (IUPAB) and Springer-Verlag GmbH Germany, part of Springer Nature 2021.

Entities:  

Keywords:  Delivery; Electrodes; Electrohysterography; Labour; Recording

Year:  2021        PMID: 34178173      PMCID: PMC8214640          DOI: 10.1007/s12551-021-00805-w

Source DB:  PubMed          Journal:  Biophys Rev        ISSN: 1867-2450


  34 in total

1.  Noninvasive estimation of the electrohysterographic action-potential conduction velocity.

Authors:  Chiara Rabotti; Massimo Mischi; S Guid Oei; Jan W M Bergmans
Journal:  IEEE Trans Biomed Eng       Date:  2010-05-10       Impact factor: 4.538

2.  Identification of human term and preterm labor using artificial neural networks on uterine electromyography data.

Authors:  William L Maner; Robert E Garfield
Journal:  Ann Biomed Eng       Date:  2007-01-17       Impact factor: 3.934

3.  Relationship between electrohysterogram and internal uterine pressure: a preliminary study.

Authors:  C Rabotti; M Mischi; J O E H van Laar; P Aelen; S G Oei; J W M Bergmans
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2006

4.  Comparison of non-invasive electrohysterographic recording techniques for monitoring uterine dynamics.

Authors:  J Alberola-Rubio; G Prats-Boluda; Y Ye-Lin; J Valero; A Perales; J Garcia-Casado
Journal:  Med Eng Phys       Date:  2013-08-16       Impact factor: 2.242

5.  A comparison of various linear and non-linear signal processing techniques to separate uterine EMG records of term and pre-term delivery groups.

Authors:  G Fele-Zorz; G Kavsek; Z Novak-Antolic; F Jager
Journal:  Med Biol Eng Comput       Date:  2008-04-24       Impact factor: 2.602

6.  Estimation of internal uterine pressure by joint amplitude and frequency analysis of electrohysterographic signals.

Authors:  Chiara Rabotti; Massimo Mischi; Judith O E H van Laar; Guid S Oei; Jan W M Bergmans
Journal:  Physiol Meas       Date:  2008-06-26       Impact factor: 2.833

7.  Myometrium electromechanical modeling for internal uterine pressure estimation by electrohysterography.

Authors:  C Rabotti; M Mischi; J O E H van Laar; S G Oei; J W M Bergmans
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

Review 8.  Uterine electromyography: a critical review.

Authors:  D Devedeux; C Marque; S Mansour; G Germain; J Duchêne
Journal:  Am J Obstet Gynecol       Date:  1993-12       Impact factor: 8.661

9.  Classification performance of the frequency-related parameters derived from uterine EMG signals.

Authors:  B Moslem; B Karlsson; M O Diab; M Khalil; C Marque
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

10.  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

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