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Jump neural network for online short-time prediction of blood glucose from continuous monitoring sensors and meal information

Computer methods and programs in biomedicine, 2014-01, Vol.113 (1), p.144-152

2014

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A strategy based on integer programming for optimal dosing and timing of preventive hypoglycemic treatments in type 1 diabetes management

Computer methods and programs in biomedicine, 2024-06, Vol.250, p.108179-108179, Article 108179

2024

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Corrigendum to “Generation of post-meal insulin correction boluses in type 1 diabetes simulation models for in-silico clinical trials: More realistic scenarios obtained using a decision tree approach”

Computer methods and programs in biomedicine, 2024-07, Vol.252, p.108232-108232, Article 108232

2024

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Glucose Concentration can be Predicted Ahead in Time From Continuous Glucose Monitoring Sensor Time-Series

IEEE transactions on biomedical engineering, 2007-05, Vol.54 (5), p.931-937

2007

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Generation of post-meal insulin correction boluses in type 1 diabetes simulation models for in-silico clinical trials: More realistic scenarios obtained using a decision tree approach

Computer methods and programs in biomedicine, 2022-06, Vol.221, p.106862-106862, Article 106862

2022

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Diabetes: Models, Signals, and Control

IEEE reviews in biomedical engineering, 2009, Vol.2, p.54-96

2009

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Super–twisting-based meal detector for type 1 diabetes management: Improvement and assessment in a real-life scenario

Computer methods and programs in biomedicine, 2022-06, Vol.219, p.106736-106736, Article 106736

2022

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Artificial neural network algorithm for online glucose prediction from continuous glucose monitoring

Diabetes technology & therapeutics, 2010-01, Vol.12 (1), p.81-88

2010

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A novel method for the determination of the EEG individual alpha frequency

NeuroImage (Orlando, Fla.), 2012-03, Vol.60 (1), p.774-786

2012

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An EEGLAB plugin to analyze individual EEG alpha rhythms using the “channel reactivity-based method”

Computer methods and programs in biomedicine, 2014-03, Vol.113 (3), p.853-861

2014

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Bayesian filtering of human brain hemodynamic activity elicited by visual short-term maintenance recorded through functional near-infrared spectroscopy (fNIRS)

Optics express, 2010-12, Vol.18 (25), p.26550-26568

2010

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Insight into the relationship between brain/behavioral speed and variability in patients with minimal hepatic encephalopathy

Clinical neurophysiology, 2014-02, Vol.125 (2), p.287-297

2014

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Compression Set in Closed-Cell Foam Bridge Expansion Joints

Journal of bridge engineering, 2018-01, Vol.23 (1)

2018

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A new dynamic index of insulin sensitivity

IEEE transactions on biomedical engineering, 2006-03, Vol.53 (3), p.369-379

2006

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Neural Network Incorporating Meal Information Improves Accuracy of Short-Time Prediction of Glucose Concentration

IEEE transactions on biomedical engineering, 2012-06, Vol.59 (6), p.1550-1560

2012

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"Population" approach improves parameter estimation of kinetic models from dynamic PET data

IEEE transactions on medical imaging, 2004-03, Vol.23 (3), p.297-306

2004

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Non-Invasive Continuous-Time Blood Pressure Estimation from a Single Channel PPG Signal using Regularized ARX Models

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, Vol.2018, p.3630-3633

2018

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Bayesian Model Selection Framework to Improve Calibration of Continuous Glucose Monitoring Sensors for Diabetes Management

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, Vol.2018, p.29-32

2018

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Online Denoising Method to Handle Intraindividual Variability of Signal-to-Noise Ratio in Continuous Glucose Monitoring

IEEE transactions on biomedical engineering, 2011-09, Vol.58 (9), p.2664-2671

2011

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A stochastic deconvolution method to reconstruct insulin secretion rate after a glucose stimulus

IEEE transactions on biomedical engineering, 1996-05, Vol.43 (5), p.512-529

1996

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Electroencephalographic analysis for the assessment of hepatic encephalopathy: Comparison of non-parametric and parametric spectral estimation techniques

Neurophysiologie clinique, 2009-04, Vol.39 (2), p.107-115

2009

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Enhancing the Accuracy of Subcutaneous Glucose Sensors: A Real-Time Deconvolution-Based Approach

IEEE transactions on biomedical engineering, 2012-06, Vol.59 (6), p.1658-1669

2012

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An Online Self-Tunable Method to Denoise CGM Sensor Data

IEEE transactions on biomedical engineering, 2010-03, Vol.57 (3), p.634-641

2010

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Maximum-likelihood versus maximum a posteriori parameter estimation of physiological system models: the c-peptide impulse response case study

IEEE transactions on biomedical engineering, 2000-06, Vol.47 (6), p.801-811

2000

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Reconstructing insulin secretion rate after a glucose stimulus by an improved stochastic deconvolution method

IEEE transactions on biomedical engineering, 2001-11, Vol.48 (11), p.1352-1354

2001

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Jump neural network for online short-time prediction of blood glucose from continuous monitoring sensors and meal information

A strategy based on integer programming for optimal dosing and timing of preventive hypoglycemic treatments in type 1 diabetes management

Corrigendum to “Generation of post-meal insulin correction boluses in type 1 diabetes simulation models for in-silico clinical trials: More realistic scenarios obtained using a decision tree approach”

Glucose Concentration can be Predicted Ahead in Time From Continuous Glucose Monitoring Sensor Time-Series

Generation of post-meal insulin correction boluses in type 1 diabetes simulation models for in-silico clinical trials: More realistic scenarios obtained using a decision tree approach

Diabetes: Models, Signals, and Control

Super–twisting-based meal detector for type 1 diabetes management: Improvement and assessment in a real-life scenario

Artificial neural network algorithm for online glucose prediction from continuous glucose monitoring

A novel method for the determination of the EEG individual alpha frequency

An EEGLAB plugin to analyze individual EEG alpha rhythms using the “channel reactivity-based method”

Bayesian filtering of human brain hemodynamic activity elicited by visual short-term maintenance recorded through functional near-infrared spectroscopy (fNIRS)

Insight into the relationship between brain/behavioral speed and variability in patients with minimal hepatic encephalopathy

Compression Set in Closed-Cell Foam Bridge Expansion Joints

A new dynamic index of insulin sensitivity

Neural Network Incorporating Meal Information Improves Accuracy of Short-Time Prediction of Glucose Concentration

"Population" approach improves parameter estimation of kinetic models from dynamic PET data

Non-Invasive Continuous-Time Blood Pressure Estimation from a Single Channel PPG Signal using Regularized ARX Models

Bayesian Model Selection Framework to Improve Calibration of Continuous Glucose Monitoring Sensors for Diabetes Management

Online Denoising Method to Handle Intraindividual Variability of Signal-to-Noise Ratio in Continuous Glucose Monitoring

A stochastic deconvolution method to reconstruct insulin secretion rate after a glucose stimulus

Electroencephalographic analysis for the assessment of hepatic encephalopathy: Comparison of non-parametric and parametric spectral estimation techniques

Enhancing the Accuracy of Subcutaneous Glucose Sensors: A Real-Time Deconvolution-Based Approach

An Online Self-Tunable Method to Denoise CGM Sensor Data

Maximum-likelihood versus maximum a posteriori parameter estimation of physiological system models: the c-peptide impulse response case study

Reconstructing insulin secretion rate after a glucose stimulus by an improved stochastic deconvolution method

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