Giovanni Sparacino

Author Info

Name	Affiliation	Papers
GIOVANNI SPARACINO	Dipartimento di Elettronica e Informatica, Universití di Padova, Via Gradenigo 6/A, 35122 Padova, Italy	55
Collaborators	Citations	PageRank
94	276	52.52
Referers	Referees	References
590	456	185

Search Limit

100590

Publications (55 rows)

Collaborators (94 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy	1	0.37	2021
A Deep Learning Approach to Predict Diabetes’ Cardiovascular Complications From Administrative Claims	1	0.39	2021
Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors.	0	0.34	2020
A Personalized and Interpretable Deep Learning Based Approach to Predict Blood Glucose Concentration in Type 1 Diabetes.	0	0.34	2020
Personalized Machine Learning Algorithm based on Shallow Network and Error Imputation Module for an Improved Blood Glucose Prediction.	0	0.34	2020
Detection of Hypoglycemia Using Measures of EEG Complexity in Type 1 Diabetes Patients.	0	0.34	2020
A Time-Frequency Analysis For The Online Detection Of The N2pc Event-Related Potential (Erp) Component In Individual Eeg Datasets	0	0.34	2020
Nonlinear Machine Learning Models For Insulin Bolus Estimation In Type 1 Diabetes Therapy	0	0.34	2020
Retrospective Continuous-Time Blood Glucose Estimation in Free Living Conditions with a Non-Invasive Multisensor Device.	0	0.34	2019
In-Silico Assessment Of Preventive Hypotreatment Efficacy And Development Of A Continuous Glucose Monitoring Based Algorithm To Prevent/Mitigate Hypoglycemia In Type 1 Diabetes	0	0.34	2019
Classification of Postprandial Glycemic Status with Application to Insulin Dosing in Type 1 Diabetes-An In Silico Proof-of-Concept.	0	0.34	2019
A Bayesian Framework To Identify Type 1 Diabetes Physiological Models Using Easily Accessible Patient Data	0	0.34	2019
Modeling The Error Of Factory-Calibrated Continuous Glucose Monitoring Sensors: Application To Dexcom G6 Sensor Data	0	0.34	2019
Development of an Error Model for a Factory-Calibrated Continuous Glucose Monitoring Sensor with 10-Day Lifetime.	1	0.39	2019
Detecting Undiagnosed Diabetes: Proof-Of-Concept Based On The Health-Information Exchange System Of The Veneto Region (North-East Italy)	0	0.34	2019
Bayesian Model Selection Framework to Improve Calibration of Continuous Glucose Monitoring Sensors for Diabetes Management	0	0.34	2018
Optimal Insulin Bolus Dosing in Type 1 Diabetes Management: Neural Network Approach Exploiting CGM Sensor Information	0	0.34	2018
Non-Invasive Continuous-Time Blood Pressure Estimation from a Single Channel PPG Signal using Regularized ARX Models.	0	0.34	2018
Glycaemic variability-based classification of impaired glucose tolerance vs. type 2 diabetes using continuous glucose monitoring data.	0	0.34	2018
Type-1 Diabetes Patient Decision Simulator for In Silico Testing Safety and Effectiveness of Insulin Treatments.	1	0.37	2018
Reduction of Blood Glucose Measurements to Calibrate Subcutaneous Glucose Sensors: A Bayesian Multiday Framework.	2	0.46	2018
Hypoglycemia-induced EEG complexity changes in Type 1 diabetes assessed by fractal analysis algorithm.	1	0.36	2017
Algorithm and software to automatically identify latency and amplitude features of local field potentials recorded in electrophysiological investigation.	0	0.34	2017
On-line calibration of glucose sensors from the measured current by a time-varying calibration function and Bayesian priors.	3	0.52	2016
Measuring Cerebral Activation From fNIRS Signals: An Approach Based on Compressive Sensing and Taylor-Fourier Model.	1	0.37	2016
Model of glucose sensor error components: identification and assessment for new Dexcom G4 generation devices.	8	1.01	2015
A software-based platform for multichannel electrophysiological data acquisition	1	0.40	2015
Sparse Principal Component Analysis for the parsimonious description of glucose variability in diabetes.	1	0.38	2014
Preprocessing by a Bayesian single-trial event-related potential estimation technique allows feasibility of an assistive single-channel P300-based brain-computer interface.	1	0.44	2014
An EEGLAB plugin to analyze individual EEG alpha rhythms using the "channel reactivity-based method"	2	0.41	2014
Jump neural network for online short-time prediction of blood glucose from continuous monitoring sensors and meal information.	6	0.49	2014
Improving Accuracy and Precision of Glucose Sensor Profiles: Retrospective Fitting by Constrained Deconvolution.	7	1.20	2014
Modeling the Glucose Sensor Error	4	0.65	2014
Neural Network for Prediction of Glucose Concentration in Type 1 Diabetic Patients.	0	0.34	2013
A multi-task learning approach for the extraction of single-trial evoked potentials	3	0.47	2013
Voice disorders assessed by (cross-) Sample Entropy of electroglottogram and microphone signals.	7	1.12	2013
A reference-channel based methodology to improve estimation of event-related hemodynamic response from fNIRS measurements.	7	0.51	2013
An Online Failure Detection Method of the Glucose Sensor-Insulin Pump System: Improved Overnight Safety of Type-1 Diabetic Subjects	7	1.14	2013
Regularised Model Identification Improves Accuracy of Multisensor Systems for Noninvasive Continuous Glucose Monitoring in Diabetes Management.	3	0.49	2013
A novel method for the determination of the EEG individual alpha frequency.	4	0.46	2012
Enhancing the accuracy of subcutaneous glucose sensors: a real-time deconvolution-based approach.	12	1.85	2012
Neural Network Incorporating Meal Information Improves Accuracy of Short-Time Prediction of Glucose Concentration	12	0.89	2012
Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor system.	7	0.80	2012
Detecting failures of the glucose sensor-insulin pump system: improved overnight safety monitoring for Type-1 diabetes.	6	0.58	2011
Online Denoising Method to Handle Intraindividual Variability of Signal-to-Noise Ratio in Continuous Glucose Monitoring	12	1.72	2011
"Smart" continuous glucose monitoring sensors: on-line signal processing issues.	19	2.27	2010
Electroglottography and microphone signals assessed by approximate entropy in normal and dysphonic subjects.	0	0.34	2009
Glucose Concentration can be Predicted Ahead in Time From Continuous Glucose Monitoring Sensor Time-Series	57	8.78	2007
A new dynamic index of insulin sensitivity	4	1.04	2006
A Bayesian approach to estimate evoked potentials.	9	0.97	2002

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