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Analysis of institutional authors

Ye-Lin, YAuthorGarcia-Casado, JAuthorPrats-Boluda, GCorresponding Author

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October 31, 2024
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Uterine contractile efficiency indexes for labor prediction: a bivariate approach from multichannel electrohysterographic records

Publicated to: Biomedical Signal Processing and Control. 46 238-248 - 2018-01-01 46(), DOI: 10.1016/j.bspc.2018.07.018

Authors:

Mas-Cabo, Javier; Ye Lin, Yiyao; Garcia-Casado, Javier; Alberola Rubio, José; Perales Marín, Alfredo Jose; Prats-Boluda, Gema
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Affiliations

HUP La Fe, Serv Obstet - Author
Univ Politecn Valencia, Ctr Invest & Innovac Bioingn, Camino Vera S-N Ed 7F - Author

Abstract

Labor prediction is one of the most challenging goals in obstetrics, mainly due to the poor understanding of the factors responsible for the onset of labor. The electrohysterogram (EHG) is the recording of the myoelectrical activity of myometrial cells and has been shown to provide relevant information on the electrophysiological state of the uterus. This information could be used to obtain more accurate labor predictions than those of the currently used techniques, such as the Bishop score, tocography or biochemical markers. Indeed, a number of efforts have already been made to predict labor by this method, separately characterizing the intensity, the coupling degree of the EHG signals and myometrial cell excitability, these being the cornerstones on which contraction efficiency is built. Although EHG characterization can distinguish between different obstetric situations, the reported results have not been shown to provide a practical tool for the clinical detection of true labor. The aim of this work was thus to define and calculate indexes from multichannel EHG recordings related to all the phenomena involved in the efficiency of uterine myoelectrical activity (intensity, excitability and synchronization) and to combine them to form global efficiency indexes (GEI) able to predict delivery in less than 7/14 days. Four EHG synchronization indexes were assessed: linear correlation, the imaginary part of the coherence, phase synchronization and permutation cross mutual information. The results show that even though the synchronization and excitability efficiency indexes can detect increasing trends as labor approaches, they cannot predict labor in less than 7/14 days. However, intensity seems to be the main factor that contributes to myometrial efficiency and is able to predict labor in less than 7/14 days. All the GEls present increasing monotonic trends as pregnancy advances and are able to identify (p < 0.05) patients who will deliver in less than 7/14 days better than single channel and single phenomenon parameters. The GEI based on the permutation cross mutual information shows especially promising results. A simplified EHG recording protocol is proposed here for clinical practice, capable of predicting deliveries in less than 7/14 days, consisting of 4 electrodes vertically aligned with the median line of the uterus. (C) 2018 Elsevier Ltd. All rights reserved.
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Keywords

ArticleBiochemical markersBiochemistryBirthCervical length measurementClinical articleClinical detectionClinical practicesEfficiencyEfficiency indexesElectrical parametersElectrical-activityElectrohysterogramElectromyographyElectrophysiologyFemaleFemale genital tract parametersForecastingGlobal efficiency indexHumanHysterographyImaginary part of coherenceLabor inductionLabor onsetLinear correlationMean efficiency indexMulti channel excitability efficiency indexMutual informationsMyoelectricityMyometriumNonlinear analysisNormalized permutation cross mutual informationObstetricsParametersPhase synchronizationPregnancyPreterm deliveryPriority journalSignal noise ratioSignal processingSingle channel efficiency indexSingle phenomenon efficiency indexSynchronizationSynchronization efficiency indexTermThird trimester pregnancyUterus contractilityUterus contractionVertically aligned

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Biomedical Signal Processing and Control due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2018, it was in position 27/80, thus managing to position itself as a Q2 (Segundo Cuartil), in the category Engineering, Biomedical. Notably, the journal is positioned en el Cuartil Q2 para la agencia Scopus (SJR) en la categoría Signal Processing.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-08:

  • WoS: 16
  • Scopus: 21
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-08:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 32.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 32 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 1.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: http://hdl.handle.net/10251/119033
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Mas-Cabo, J) and Last Author (Prats Boluda, Gema).

the author responsible for correspondence tasks has been Prats Boluda, Gema.

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