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Uterine myoelectrical activity as biomarker of successful induction with Dinoprostone: Influence of parity

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Uterine myoelectrical activity as biomarker of successful induction with Dinoprostone: Influence of parity

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dc.contributor.author Diaz-Martinez, Alba es_ES
dc.contributor.author Monfort-Ortiz, Rogelio es_ES
dc.contributor.author Ye Lin, Yiyao es_ES
dc.contributor.author Garcia-Casado, Javier es_ES
dc.contributor.author Nieto-Tous, Mar es_ES
dc.contributor.author Nieto del-Amor, Félix es_ES
dc.contributor.author Diago-Almela, Vicente Jose es_ES
dc.contributor.author Prats-Boluda, Gema es_ES
dc.date.accessioned 2023-01-19T19:01:02Z
dc.date.available 2023-01-19T19:01:02Z
dc.date.issued 2023-03 es_ES
dc.identifier.uri http://hdl.handle.net/10251/191404
dc.description.abstract [EN] The prolonged latent phase of Induction of Labour (IOL) is associated with increased risks of maternal mortality and morbidity. Electrohysterography (EHG) has outperformed traditional clinical measures monitoring labour progress. Although parity is agreed to be of particular relevance to the success of IOL, no previous EHG¿related studies have been found in the literature. We thus aimed to identify EHG¿biomarkers to predict IOL success (active phase of labour in¿¿¿24¿h) and determine the influence of the myoelectrical response on the parity of this group. Statistically significant and sustained differences between the successful and failed groups were found from 150¿min in amplitude and non¿linear parameters, especially in Spectral Entropy and in their progression rates. In the nulliparous¿parous comparison, parous women showed statistically significantly higher amplitude progression rate. These biomarkers would therefore be useful for early detection of the risk of induction failure and would help to develop more robust and generalizable IOL success¿prediction systems. es_ES
dc.description.sponsorship This work was supported by the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund (MCIU/AEI/FEDER, UE RTI2018-094449-A-I00-AR and PID2021-124038OB-I00). Funding for open access charge: CRUE-Universitat Politècnica de València es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Biocybernetics and Biomedical Engineering (Online) es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Electrohysterography es_ES
dc.subject Labour Induction es_ES
dc.subject Dinoprostone es_ES
dc.subject Parity es_ES
dc.subject Prolonged Labour es_ES
dc.subject EHG-Biomarker es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title Uterine myoelectrical activity as biomarker of successful induction with Dinoprostone: Influence of parity es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.bbe.2022.12.004 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-094449-A-I00/ES/ELECTROHISTEROGRAFIA PARA LA MEJORA EN LA TOMA DE DECISIONES EN SITUACIONES DE RIESGO EN OBSTETRICIA: PARTO PREMATURO E INDUCCION DEL PARTO/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//PID2021-124038OB-I00//INTELIGENCIA ARTIFICIAL PARA LA AYUDA AL DIAGNÓSTICO EN TIEMPO REAL DEL PARTO PREMATURO BASADO EN LA ACTIVIDAD MIOELÉCTRICA UTERINA. ÉNFASIS EN GESTACIONES MÚLTIPLES/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny es_ES
dc.description.bibliographicCitation Diaz-Martinez, A.; Monfort-Ortiz, R.; Ye Lin, Y.; Garcia-Casado, J.; Nieto-Tous, M.; Nieto Del-Amor, F.; Diago-Almela, VJ.... (2023). Uterine myoelectrical activity as biomarker of successful induction with Dinoprostone: Influence of parity. Biocybernetics and Biomedical Engineering (Online). 43(1):142-156. https://doi.org/10.1016/j.bbe.2022.12.004 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.bbe.2022.12.004 es_ES
dc.description.upvformatpinicio 142 es_ES
dc.description.upvformatpfin 156 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 43 es_ES
dc.description.issue 1 es_ES
dc.identifier.eissn 2391-467X es_ES
dc.relation.pasarela S\480685 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder Universitat Politècnica de València es_ES


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