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New electrohysterogram-based estimators of intrauterine pressure signal, tonus and contraction peak for non-invasive labor monitoring

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New electrohysterogram-based estimators of intrauterine pressure signal, tonus and contraction peak for non-invasive labor monitoring

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dc.contributor.author Benalcazar-Parra, Carlos es_ES
dc.contributor.author Garcia-Casado, Javier es_ES
dc.contributor.author Ye Lin, Yiyao es_ES
dc.contributor.author Alberola-Rubio, José es_ES
dc.contributor.author López-Corral, Angel es_ES
dc.contributor.author PERALES MARIN, ALFREDO JOSE es_ES
dc.contributor.author Prats-Boluda, Gema es_ES
dc.date.accessioned 2019-12-04T21:00:59Z
dc.date.available 2019-12-04T21:00:59Z
dc.date.issued 2019 es_ES
dc.identifier.issn 0967-3334 es_ES
dc.identifier.uri http://hdl.handle.net/10251/132417
dc.description.abstract [EN] Background: Uterine activity monitoring is an essential part of managing the progress of pregnancy and labor. Although intrauterine pressure (IUP) is the only reliable method of estimating uterine mechanical activity, it is highly invasive. Since there is a direct relationship between the electrical and mechanical activity of uterine cells, surface electrohysterography (EHG) has become a noninvasive monitoring alternative. The Teager energy (TE) operator of the EHG signal has been used for IUP continuous pressure estimation, although its accuracy could be improved. We aimed to develop new optimized IUP estimation models for clinical application. Approach: We first considered enhancing the optimal estimation of IUP clinical features (maximum pressure and tonus) rather than optimizing the signal only (continuous pressure). An adaptive algorithm was also developed to deal with inter-patient variability. For each optimizing signal feature (continuous pressure, maximum pressure and tonus), individual (single patient), global (full database) and adaptive models were built to estimate the recorded IUP signal. The results were evaluated by computing the root mean square errors (RMSe): continuous pressure error (CPe), maximum pressure error (MPe) and tonus error (TOe). Main results: The continuous pressure global model yielded IUP estimates with Cpe = 14.61mm Hg, MPe = 29.17mm Hg and Toe = 7.8mm Hg. The adaptive models significantly reduced errors to CPe = 11.88, MPe = 16.02 and Toe = 5.61mm Hg. The EHG-based IUP estimates outperformed those from traditional tocographic recordings, which had significantly higher errors (CPe = 21.93, MPe = 26.97, and TOe = 13.96). Significance: Our results show that adaptive models yield better IUP estimates than the traditional approaches and provide the best balance of the different errors computed for a better assessment of the labor progress and maternal and fetal wellbeing. es_ES
dc.description.sponsorship This research project was supported by the Spanish Ministry of Economy and Competitiveness, the European Regional Development Fund (DPI2015-68397-R), and by the projects UPV_ FE-2018-C03 and GV/2018/104. es_ES
dc.language Inglés es_ES
dc.publisher IOP Publishing es_ES
dc.relation.ispartof Physiological Measurement es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Intrauterine pressure es_ES
dc.subject Uterine activity es_ES
dc.subject Surface electromyography es_ES
dc.subject Electrohysterography es_ES
dc.subject Teager energy es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title New electrohysterogram-based estimators of intrauterine pressure signal, tonus and contraction peak for non-invasive labor monitoring es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1088/1361-6579/ab37db 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.relation.projectID info:eu-repo/grantAgreement/UPV//UPV-FE-2018-C03/ES/ÚTERO NO GESTANTE: ESTUDIO DE PERISTASIS CON ELECTROHISTEROGRAFÍA/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//GV%2F2018%2F104/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Servicio de Alumnado - Servei d'Alumnat 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.description.bibliographicCitation Benalcazar-Parra, C.; Garcia-Casado, J.; Ye Lin, Y.; Alberola-Rubio, J.; López-Corral, A.; Perales Marin, AJ.; Prats-Boluda, G. (2019). New electrohysterogram-based estimators of intrauterine pressure signal, tonus and contraction peak for non-invasive labor monitoring. Physiological Measurement. 40(8):1-12. https://doi.org/10.1088/1361-6579/ab37db es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1088/1361-6579/ab37db es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 12 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 40 es_ES
dc.description.issue 8 es_ES
dc.relation.pasarela S\396939 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.contributor.funder Instituto de Investigación Sanitaria La Fe es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES


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