Modeling the Error of the Medtronic Paradigm Veo Enlite Glucose Sensor
dc.contributor.author
dc.date.accessioned
2017-06-23T08:40:15Z
dc.date.available
2017-06-23T08:40:15Z
dc.date.issued
2017-06-12
dc.identifier.uri
dc.description.abstract
Continuous glucose monitors (CGMs) are prone to inaccuracy due to time lags, sensor drift, calibration errors, and measurement noise. The aim of this study is to derive the model of the error of the second generation Medtronic Paradigm Veo Enlite (ENL) sensor and compare it with the Dexcom SEVEN PLUS (7P), G4 PLATINUM (G4P), and advanced G4 for Artificial Pancreas studies (G4AP) systems. An enhanced methodology to a previously employed technique was utilized to dissect the sensor error into several components. The dataset used included 37 inpatient sessions in 10 subjects with type 1 diabetes (T1D), in which CGMs were worn in parallel and blood glucose (BG) samples were analyzed every 15 ± 5 min Calibration error and sensor drift of the ENL sensor was best described by a linear relationship related to the gain and offset. The mean time lag estimated by the model is 9.4 ± 6.5 min. The overall average mean absolute relative difference (MARD) of the ENL sensor was 11.68 ± 5.07% Calibration error had the highest contribution to total error in the ENL sensor. This was also reported in the 7P, G4P, and G4AP. The model of the ENL sensor error will be useful to test the in silico performance of CGM-based applications, i.e., the artificial pancreas, employing this kind of sensor
dc.description.sponsorship
This project has been partially supported by the Spanish Government through Grants DPI-2013-46982-C2-2-R and DPI-2016-78831-C2-2-R, the National Council of Technological and Scientific Development, CNPq Brazil through Grant 202050/2015-7, the University of Girona through Grant BR2014/51, and the Agency for Management of University and Research Grants of the Government of Catalonia, Spain (Beatriu de Pinós [BP-DGR 2013])
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
MDPI (Multidisciplinary Digital Publishing Institute)
dc.relation
DPI2013‐46982‐C2‐2‐R
DPI2016-78831-C2-2-R
dc.relation.isformatof
Reproducció digital del document publicat a: http://dx.doi.org/10.3390/s17061361
dc.relation.ispartof
Sensors, 2017, vol. 17, núm. 6, p. 1361
dc.relation.ispartofseries
Articles publicats (D-IMA)
dc.rights
Attribution 3.0 Spain
dc.rights.uri
dc.subject
dc.title
Modeling the Error of the Medtronic Paradigm Veo Enlite Glucose Sensor
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.embargo.terms
Cap
dc.relation.projectID
info:eu-repo/grantAgreement/MINECO//DPI2013-46982-C2-2-R/ES/NUEVOS METODOS PARA LA EFICIENCIA Y SEGURIDAD DEL PANCREAS ARTIFICIAL DOMICILIARIO EN DIABETES TIPO 1/
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2016-78831-C2-2-R/ES/Soluciones para la Mejora de la Eficiencia y Seguridad del Páncreas Artificial mediante Arquitecturas de Control Multivariable Tolerantes a Fallos/
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.identifier.idgrec
027175
dc.contributor.funder
dc.relation.FundingProgramme
dc.relation.ProjectAcronym
dc.identifier.eissn
1424-8220