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Design and Assessment of a Robust and Generalizable ANN-Based Classifier for the Prediction of Premature Birth by means of Multichannel Electrohysterographic Records

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Design and Assessment of a Robust and Generalizable ANN-Based Classifier for the Prediction of Premature Birth by means of Multichannel Electrohysterographic Records

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Mas-Cabo, J.; Prats-Boluda, G.; Garcia-Casado, J.; Alberola Rubio, J.; Perales Marín, AJ.; Ye Lin, Y. (2019). Design and Assessment of a Robust and Generalizable ANN-Based Classifier for the Prediction of Premature Birth by means of Multichannel Electrohysterographic Records. Journal of Sensors. 2019:1-13. https://doi.org/10.1155/2019/5373810

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/135405

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Title: Design and Assessment of a Robust and Generalizable ANN-Based Classifier for the Prediction of Premature Birth by means of Multichannel Electrohysterographic Records
Author: Mas-Cabo, Javier Prats-Boluda, Gema Garcia-Casado, Javier Alberola Rubio, José Perales Marín, Alfredo José Ye Lin, Yiyao
UPV Unit: 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
Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Universitat Politècnica de València. Servicio de Alumnado - Servei d'Alumnat
Issued date:
Abstract:
[EN] Preterm labor is one of the major causes of neonatal deaths and also the cause of significant health and development impairments in those who survive. However, there are still no reliable and accurate tools for preterm ...[+]
Copyrigths: Reconocimiento (by)
Source:
Journal of Sensors. (issn: 1687-725X )
DOI: 10.1155/2019/5373810
Publisher:
Hindawi Limited
Publisher version: https://doi.org/10.1155/2019/5373810
Project ID:
UNIVERSIDAD POLITECNICA DE VALENCIA/UPV-FE-2018-B03
GENERALITAT VALENCIANA/AICO/2019/220
MINISTERIO DE ECONOMIA Y EMPRESA/DPI2015-68397-R
AEI/RTI2018-094449-A-I00-AR
Thanks:
This work was supported by the Spanish Ministry of Economy and Competitiveness, the European Regional Development Fund (DPI2015-68397-R, MINECO/FEDER, and RTI2018-094449-A-I00-AR); Generalitat Valenciana (AICO/2019/220); ...[+]
Type: Artículo

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