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Detection of correct and incorrect measurements in real-time continuous glucose monitoring systems applying a postprocessing support vector machine

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Detection of correct and incorrect measurements in real-time continuous glucose monitoring systems applying a postprocessing support vector machine

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Leal, Y.; Gonzalez-Abril, L.; Lorencio, C.; Bondía Company, J.; Vehí, J. (2013). Detection of correct and incorrect measurements in real-time continuous glucose monitoring systems applying a postprocessing support vector machine. IEEE Transactions on Biomedical Engineering. 60(7):1891-1899. https://doi.org/10.1109/TBME.2013.2244092

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/154397

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Title: Detection of correct and incorrect measurements in real-time continuous glucose monitoring systems applying a postprocessing support vector machine
Author: Leal, Yenny GONZALEZ-ABRIL, LUIS Lorencio, Carol Bondía Company, Jorge Vehí, Josep
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Issued date:
Abstract:
[EN] Support vector machines (SVMs) are an attractive option for detecting correct and incorrect measurements in real-time continuous glucose monitoring systems (RTCGMSs), because their learning mechanism can introduce a ...[+]
Subjects: Balanced performance , Continuous glucose monitoring , Critically ill patients , Fault detection , Support vector machines (SVMs)
Copyrigths: Cerrado
Source:
IEEE Transactions on Biomedical Engineering. (issn: 0018-9294 )
DOI: 10.1109/TBME.2013.2244092
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: https://doi.org/10.1109/TBME.2013.2244092
Project ID:
MICINN/DPI2010-20764-C02
MINECO/TIN2009-14378-C02-01
Junta de Andalucía/TIC-8052
GC/2009-SGR-523
Thanks:
This work was supported by the Spanish Ministry of Science and Innovation under Grant DPI-2010-20764-C02, and by the Autonomous Government of Catalonia under Grant 2009 SGR 523. In addition, this work was partially supported ...[+]
Type: Artículo

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