Folgen
Giovanni Sparacino
Giovanni Sparacino
Full Professor of Biomedical Engineering - University of Padova, Italy
Bestätigte E-Mail-Adresse bei dei.unipd.it - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Diabetes: models, signals, and control
C Cobelli, C Dalla Man, G Sparacino, L Magni, G De Nicolao, ...
IEEE reviews in biomedical engineering 2, 54-96, 2009
5892009
Glucose concentration can be predicted ahead in time from continuous glucose monitoring sensor time-series
G Sparacino, F Zanderigo, S Corazza, A Maran, A Facchinetti, C Cobelli
IEEE Transactions on biomedical engineering 54 (5), 931-937, 2007
4122007
Artificial neural network algorithm for online glucose prediction from continuous glucose monitoring
C Pérez-Gandía, A Facchinetti, G Sparacino, C Cobelli, EJ Gómez, ...
Diabetes technology & therapeutics 12 (1), 81-88, 2010
3522010
Continuous glucose monitoring sensors for diabetes management: a review of technologies and applications
G Cappon, M Vettoretti, G Sparacino, A Facchinetti
Diabetes & metabolism journal 43 (4), 383, 2019
3162019
Nonparametric input estimation in physiological systems: problems, methods, and case studies
G De Nicolao, G Sparacino, C Cobelli
Automatica 33 (5), 851-870, 1997
2511997
Wearable continuous glucose monitoring sensors: a revolution in diabetes treatment
G Cappon, G Acciaroli, M Vettoretti, A Facchinetti, G Sparacino
Electronics 6 (3), 65, 2017
2362017
2019 Clinical practice guidelines for type 2 diabetes mellitus in Korea
G Cappon, M Vettoretti, G Sparacino, A Facchinetti, MK Kim, SH Ko, ...
Diabetes & metabolism journal 43 (4), 398-406, 2019
2182019
Neural network incorporating meal information improves accuracy of short-time prediction of glucose concentration
C Zecchin, A Facchinetti, G Sparacino, G De Nicolao, C Cobelli
IEEE transactions on biomedical engineering 59 (6), 1550-1560, 2012
1812012
Modeling the glucose sensor error
A Facchinetti, S Del Favero, G Sparacino, JR Castle, WK Ward, C Cobelli
IEEE Transactions on Biomedical Engineering 61 (3), 620-629, 2013
1502013
Enhancing the accuracy of subcutaneous glucose sensors: a real-time deconvolution-based approach
S Guerra, A Facchinetti, G Sparacino, G De Nicolao, C Cobelli
IEEE Transactions on Biomedical Engineering 59 (6), 1658-1669, 2012
1132012
Numerical non-identifiability regions of the minimal model of glucose kinetics: superiority of Bayesian estimation
G Pillonetto, G Sparacino, C Cobelli
Mathematical biosciences 184 (1), 53-67, 2003
1122003
“Smart” continuous glucose monitoring sensors: on-line signal processing issues
G Sparacino, A Facchinetti, C Cobelli
Sensors 10 (7), 6751-6772, 2010
1102010
Exposure to dipeptidyl‐peptidase‐4 inhibitors and COVID‐19 among people with type 2 diabetes: a case‐control study
GP Fadini, ML Morieri, E Longato, BM Bonora, S Pinelli, E Selmin, ...
Diabetes, Obesity and Metabolism 22 (10), 1946-1950, 2020
1082020
Real-time improvement of continuous glucose monitoring accuracy: the smart sensor concept
A Facchinetti, G Sparacino, S Guerra, YM Luijf, JH DeVries, JK Mader, ...
Diabetes care 36 (4), 793-800, 2013
1082013
Continuous glucose monitoring time series and hypo/hyperglycemia prevention: requirements, methods, open problems
G Sparacino, A Facchinetti, A Maran, C Cobelli
Current diabetes reviews 4 (3), 181-192, 2008
1062008
Calibration of minimally invasive continuous glucose monitoring sensors: state-of-the-art and current perspectives
G Acciaroli, M Vettoretti, A Facchinetti, G Sparacino
Biosensors 8 (1), 24, 2018
1052018
Jump neural network for online short-time prediction of blood glucose from continuous monitoring sensors and meal information
C Zecchin, A Facchinetti, G Sparacino, C Cobelli
Computer methods and programs in biomedicine 113 (1), 144-152, 2014
1032014
Type-1 diabetes patient decision simulator for in silico testing safety and effectiveness of insulin treatments
M Vettoretti, A Facchinetti, G Sparacino, C Cobelli
IEEE Transactions on Biomedical Engineering 65 (6), 1281-1290, 2017
942017
Model of glucose sensor error components: identification and assessment for new Dexcom G4 generation devices
A Facchinetti, S Del Favero, G Sparacino, C Cobelli
Medical & biological engineering & computing 53, 1259-1269, 2015
922015
A new neural network approach for short-term glucose prediction using continuous glucose monitoring time-series and meal information
C Zecchin, A Facchinetti, G Sparacino, G De Nicolao, C Cobelli
2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011
912011
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20