The Electrohysterographic Signals in Preterm Birth Prediction: A Narrative Review

Authors

  • María Fernanda Acosta Romo Universidad Mariana. San Juan de Pasto, Colombia https://orcid.org/0000-0003-0772-8021
  • Marco Antonio Chamorro Lucero Universidad Mariana. San Juan de Pasto, Colombia

DOI:

https://doi.org/10.17081/innosa.98

Keywords:

Preterm labor, electromyography, early diagnosis, signal processing computer-assisted

Abstract

 

Background: In clinical practice, various methods or techniques are used to monitor uterine activity, so it is essential to identify, through a narrative review, ¿what are the techniques for diagnosing preterm delivery? Two thematic areas were addressed: comparison of signals electrohysterographic with other diagnostic tests and analysis of electrohysterographic signals. Methods: A review of scientific articles, in English and Spanish, was carried out in scientific databases, using combinations of keywords: electrohysterography, uterine electrical activity, uterine biosignals, preterm delivery, diagnosis of preterm delivery. It was taken into account that they were published between the years 2012 to 2019. Conclusions: Electrohysterography is the most sensitive technique for uterine monitoring compared to other non-invasive diagnostic tests used for diagnosis of preterm labor.

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Author Biographies

María Fernanda Acosta Romo, Universidad Mariana. San Juan de Pasto, Colombia

MSc in Epidemiology; Postgraduate Health Research Coordinator, member of the GIESUM research group, Faculty of Health Sciences, Mariana University, San Juan de Pasto, Nariño. Email: macosta@umariana.edu.co

Marco Antonio Chamorro Lucero, Universidad Mariana. San Juan de Pasto, Colombia

Master in Engineering, Biomedical Area, GIESUM Research Group. Faculty of Engineering, Mariana University, San Juan de Pasto, Colombia. Email: marcochamorro@umariana.edu.co

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Published

2020-10-09

How to Cite

1.
Acosta Romo MF, Chamorro Lucero MA. The Electrohysterographic Signals in Preterm Birth Prediction: A Narrative Review. Ciencia e Innovación en Salud [Internet]. 2020 Oct. 9 [cited 2026 Apr. 18];. Available from: https://revistas.unisimon.edu.co/index.php/innovacionsalud/article/view/3760

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ORIGINALS