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Giovanni Sparacino
Giovanni Sparacino
Full Professor of Biomedical Engineering - University of Padova, Italy
Verified email at dei.unipd.it - Homepage
Title
Cited by
Cited by
Year
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
5232009
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
3562007
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
2892010
Nonparametric input estimation in physiological systems: problems, methods, and case studies
G De Nicolao, G Sparacino, C Cobelli
Automatica 33 (5), 851-870, 1997
2321997
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
1482017
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
1452012
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), 383-397, 2019
1422019
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
1152013
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
1012003
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
992012
“Smart” continuous glucose monitoring sensors: On-line signal processing issues
G Sparacino, A Facchinetti, C Cobelli
Sensors 10 (7), 6751-6772, 2010
992010
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
972013
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
932008
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
822020
Modeling the error of continuous glucose monitoring sensor data: critical aspects discussed through simulation studies
A Facchinetti, G Sparacino, C Cobelli
Journal of diabetes science and technology 4 (1), 4-14, 2010
792010
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
782014
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
772011
A stochastic deconvolution method to reconstruct insulin secretion rate after a glucose stimulus
G Sparacino, C Cobelli
IEEE Transactions on Biomedical Engineering 43 (5), 512-529, 1996
771996
An online self-tunable method to denoise CGM sensor data
A Facchinetti, G Sparacino, C Cobelli
IEEE Transactions on Biomedical Engineering 57 (3), 634-641, 2009
762009
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 (12), 1259-1269, 2015
742015
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