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Optimization of Imminent Labor Prediction Systems in Women with Threatened Preterm Labor Based on Electrohysterography

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Optimization of Imminent Labor Prediction Systems in Women with Threatened Preterm Labor Based on Electrohysterography

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Prats-Boluda, G.; Pastor-Tronch, J.; Garcia-Casado, J.; Monfort-Ortiz, R.; Perales Marín, A.; Diago, V.; Roca Prats, A.... (2021). Optimization of Imminent Labor Prediction Systems in Women with Threatened Preterm Labor Based on Electrohysterography. Sensors. 21(7):1-18. https://doi.org/10.3390/s21072496

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/176374

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Title: Optimization of Imminent Labor Prediction Systems in Women with Threatened Preterm Labor Based on Electrohysterography
Author: Prats-Boluda, Gema Pastor-Tronch, Julio Garcia-Casado, Javier Monfort-Ortiz, Rogelio Perales Marín, Alfredo Diago, Vicente Roca Prats, Alba Ye Lin, Yiyao
UPV Unit: Universitat Politècnica de València. Servicio de Alumnado - Servei d'Alumnat
Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Issued date:
Abstract:
[EN] Preterm birth is the leading cause of death in newborns and the survivors are prone to health complications. Threatened preterm labor (TPL) is the most common cause of hospitalization in the second half of pregnancy. ...[+]
Subjects: Electrohysterogram , Uterine myoelectrical activity , Tocolytic therapy , Random forest , Extreme learning machine , K-nearest neighbors , Imminent labor prediction
Copyrigths: Reconocimiento (by)
Source:
Sensors. (eissn: 1424-8220 )
DOI: 10.3390/s21072496
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/s21072496
Project ID:
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/
info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//AICO%2F2019%2F220//DESARROLLO DE HERRAMIENTAS DE USO CLINICO PARA LA PREDICCION DEL PARTO PREMATURO EN BASE A LA ELECTROHISTEROGRAFIA/
Thanks:
This work was supported by the Spanish Ministry of Economy and Competitiveness, the European Regional Development Fund (MCIU/AEI/FEDER, UE RTI2018-094449-A-I00-AR); by the Generalitat Valenciana (AICO/2019/220).
Type: Artículo

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