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Uterine electromyography for discrimination of labor imminence in women with threatened preterm labor under tocolytic treatment

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Uterine electromyography for discrimination of labor imminence in women with threatened preterm labor under tocolytic treatment

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dc.contributor.author Mas-Cabo, Javier es_ES
dc.contributor.author Prats-Boluda, Gema es_ES
dc.contributor.author Perales Marín, Alfredo Jose es_ES
dc.contributor.author Garcia-Casado, Javier es_ES
dc.contributor.author Alberola Rubio, José es_ES
dc.contributor.author Ye Lin, Yiyao es_ES
dc.date.accessioned 2019-03-15T21:01:51Z
dc.date.available 2019-03-15T21:01:51Z
dc.date.issued 2019 es_ES
dc.identifier.issn 0140-0118 es_ES
dc.identifier.uri http://hdl.handle.net/10251/118178
dc.description.abstract [EN] As one of the main aims of obstetrics is to be able to detect imminent delivery in patients with threatened preterm labor, the techniques currently used in clinical practice have serious limitations in this respect. The electrohysterogram (EHG) has now emerged as an alternative technique, providing relevant information about labor onset when recorded in controlled checkups without administration of tocolytic drugs. The studies published to date mainly focus on EHG-burst analysis and, to a lesser extent, on whole EHG window analysis. The study described here assessed the ability of EHG signals to discriminate imminent labor (<7days) in women with threatened preterm labor undergoing tocolytic therapy, using both EHG-burst and whole EHG window analyses, by calculating temporal, spectral, and non-linear parameters. Only two non-linear EHG-burst parameters and four whole EHG window analysis parameters were able to distinguish the women who delivered <7days from the others, showing that EHG can provide relevant information on the approach of labor, even in women with threatened preterm labor under the effects of tocolytic therapy. The whole EHG window outperformed the EHG-burst analysis and is seen as a step forward in the development of real-time EHG systems able to predict imminent labor in clinical praxis>The ability of EHG recordings to predict imminent labor (<7days) was analyzed in preterm threatened patients undergoing tocolytic therapies by means of EHG-burst and whole EHG window analysis. The non-linear features were found to have better performance than the temporal and spectral parameters in separating women who delivered in less than 7days from those who did not. es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Medical & Biological Engineering & Computing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Electrohysterogram es_ES
dc.subject Premature labor es_ES
dc.subject Tocolytic therapy es_ES
dc.subject Non-linear analysis es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title Uterine electromyography for discrimination of labor imminence in women with threatened preterm labor under tocolytic treatment es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11517-018-1888-y es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//DPI2015-68397-R/ES/ELECTROHISTEROGRAFIA, CONSTRUYENDO PUENTES PARA SU USO CLINICO EN OBSTETRICIA/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano - Institut Interuniversitari d'Investigació en Bioenginyeria i Tecnologia Orientada a l'Ésser Humà es_ES
dc.contributor.affiliation Universitat Politècnica de València. Servicio de Alumnado - Servei d'Alumnat es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica es_ES
dc.description.bibliographicCitation Mas-Cabo, J.; Prats-Boluda, G.; Perales Marín, AJ.; Garcia-Casado, J.; Alberola Rubio, J.; Ye Lin, Y. (2019). Uterine electromyography for discrimination of labor imminence in women with threatened preterm labor under tocolytic treatment. Medical & Biological Engineering & Computing. 57:401-411. https://doi.org/10.1007/s11517-018-1888-y es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1007/s11517-018-1888-y es_ES
dc.description.upvformatpinicio 401 es_ES
dc.description.upvformatpfin 411 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 57 es_ES
dc.identifier.pmid 30159659
dc.relation.pasarela S\367927 es_ES
dc.contributor.funder Ministerio de Economía, Industria y Competitividad es_ES
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