Literature DB >> 19278772

Monitoring the progress of pregnancy and labor using electromyography.

Dietmar Schlembach1, Wiliam L Maner, Robert E Garfield, Holger Maul.   

Abstract

At present, there is no effective treatment for preterm labor. The most obvious reason for this anomaly is that there is no objective manner in which to evaluate the progression of pregnancy through steps leading to labor, either at term or preterm. Understanding the physiology of the uterus during term and preterm parturition is important for developing methods to control uterine function and is essential to solving clinical problems related to labor. Several techniques have been adopted to monitor and/or to diagnose labor. Unfortunately they are either subjective or indirect and do not provide an accurate prediction especially for preterm labor. Uterine electromyography (EMG) may provide more objective, highly accurate, and clinically useful information. This may be especially important in clinical scenarios such as prediction of preterm labor, differentiation between true and false labor, and management of labor augmentation, labor induction or tocolysis. Thereby EMG would enable clinicians to apply much better treatment for pregnant patients.

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Year:  2009        PMID: 19278772     DOI: 10.1016/j.ejogrb.2009.02.016

Source DB:  PubMed          Journal:  Eur J Obstet Gynecol Reprod Biol        ISSN: 0301-2115            Impact factor:   2.435


  12 in total

Review 1.  A blueprint for the prevention of preterm birth: vaginal progesterone in women with a short cervix.

Authors:  Roberto Romero; Lami Yeo; Jezid Miranda; Sonia S Hassan; Agustin Conde-Agudelo; Tinnakorn Chaiworapongsa
Journal:  J Perinat Med       Date:  2013-01       Impact factor: 1.901

2.  The shape of uterine contractions and labor progress in the spontaneous active labor.

Authors:  Samira Ebrahimzadeh Zagami; Nahid Golmakani; Seyyed Ali-Reza Saadatjoo; Nayyereh Ghomian; Behjat Baghbani
Journal:  Iran J Med Sci       Date:  2015-03

3.  The Icelandic 16-electrode electrohysterogram database.

Authors:  Asgeir Alexandersson; Thora Steingrimsdottir; Jeremy Terrien; Catherine Marque; Brynjar Karlsson
Journal:  Sci Data       Date:  2015-04-28       Impact factor: 6.444

4.  Comparison of electrohysterogram signal measured by surface electrodes with different designs: A computational study with dipole band and abdomen models.

Authors:  Pei Gao; Dongmei Hao; Yang An; Ying Wang; Qian Qiu; Lin Yang; Yimin Yang; Song Zhang; Xuwen Li; Dingchang Zheng
Journal:  Sci Rep       Date:  2017-12-11       Impact factor: 4.379

5.  Phase Entropy Analysis of Electrohysterographic Data at the Third Trimester of Human Pregnancy and Active Parturition.

Authors:  José Javier Reyes-Lagos; Adriana Cristina Pliego-Carrillo; Claudia Ivette Ledesma-Ramírez; Miguel Ángel Peña-Castillo; María Teresa García-González; Gustavo Pacheco-López; Juan Carlos Echeverría
Journal:  Entropy (Basel)       Date:  2020-07-22       Impact factor: 2.524

6.  Robust Characterization of the Uterine Myoelectrical Activity in Different Obstetric Scenarios.

Authors:  Javier Mas-Cabo; Yiyao Ye-Lin; Javier Garcia-Casado; Alba Díaz-Martinez; Alfredo Perales-Marin; Rogelio Monfort-Ortiz; Alba Roca-Prats; Ángel López-Corral; Gema Prats-Boluda
Journal:  Entropy (Basel)       Date:  2020-07-05       Impact factor: 2.524

7.  Automatic identification of motion artifacts in EHG recording for robust analysis of uterine contractions.

Authors:  Yiyao Ye-Lin; Javier Garcia-Casado; Gema Prats-Boluda; José Alberola-Rubio; Alfredo Perales
Journal:  Comput Math Methods Med       Date:  2014-01-09       Impact factor: 2.238

8.  Velocity and directionality of the electrohysterographic signal propagation.

Authors:  Lasse Lange; Anders Vaeggemose; Preben Kidmose; Eva Mikkelsen; Niels Uldbjerg; Peter Johansen
Journal:  PLoS One       Date:  2014-01-21       Impact factor: 3.240

9.  A Comparative Study of Vaginal Labor and Caesarean Section Postpartum Uterine Myoelectrical Activity.

Authors:  Alba Diaz-Martinez; Javier Mas-Cabo; Gema Prats-Boluda; Javier Garcia-Casado; Karen Cardona-Urrego; Rogelio Monfort-Ortiz; Angel Lopez-Corral; Maria De Arriba-Garcia; Alfredo Perales; Yiyao Ye-Lin
Journal:  Sensors (Basel)       Date:  2020-05-26       Impact factor: 3.576

10.  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

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