Modeling the glucose sensor error

Facchinetti, Andrea, Del Favero, Simone, Sparacino, Giovanni, Castle, Jessica R., Ward, W. Kenneth, Cobelli, Claudio·2014·IEEE Transactions on Biomedical Engineering

Cited by (130)

Items 101–130 of 130

  1. Automatic identification of unreported meals from continuous glucose monitoring data in individuals after bariatric surgery using a template matching algorithm
    Elisa Pellizzari, Francesco Prendin, Giacomo Cappon, Elena Idi, Simone Del Favero, David Herzig, Lia Bally, Andrea Facchinetti · 2025 · Scientific Reports
  2. Glucose Predictions Improve Glycemic Control: A Digital Twin Evaluation
    Pau Herrero, Magí Andorrà, Marc D. Breton, Ajandek Peak, Matthias Koehler, Yannick Klopfenstein, Eemeli Leppäaho, Mattia Zanon, Christian Ringemann, Patrick Lustenberger et al. · 2026 · Diabetes Technology & Therapeutics
  3. CGM filtering and denoising techniques
    Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli · 2020 · Elsevier eBooks
  4. Estimating insulin sensitivity after exercise using an Unscented Kalman Filter
    Julia Deichmann, Hans‐Michael Kaltenbach · 2021 · IFAC-PapersOnLine
  5. Supervised and Unsupervised Approaches for the Real-Time Detection of Undesired Insulin Suspension Caused by Malfunctions
    Elena Idi, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero · 2024 · Journal of Diabetes Science and Technology
  6. Reducing exercise-related hypoglycemia in automated insulin delivery with reinforcement learning
    Dana Zimmermann, Hans‐Michael Kaltenbach · 2025 · IFAC Journal of Systems and Control
  7. Modelling Intestinal Glucose Absorption using Continuous Glucose Monitor Data
    J. Dickson, Matthew Signal, Deborah L. Harris, Gábor Marics, Philip J. Weston, Jane Elizabeth Harding, Péter Tóth‐Heyn, József Homlok, Balázs István Benyó, J. Geoffrey Chase · 2015 · IFAC-PapersOnLine
  8. A Dual Control Approach to Solve Exploration Versus Exploitation Trade-Offs in the Design of Personalized Physical Exercise Sessions
    Roxanne R. Jackson, Damiano Varagnolo, Steffi Knorn · 2023 · IEEE Control Systems Letters
  9. A one-size-fits-all artificial pancreas for people with type 1 diabetes based on physiological insight and feedback control
    Ritschel Tobias K. S., Asbjørn Thode Reenberg, Emilie Bundgaard Lindkvist, Christian Laugesen, Jannet Svensson, Ajenthen Gayathri Ranjan, Kirsten Nørgaard, Bernd Dammann, John Bagterp Jørgensen · 2023 · European Control Conference (ECC)
  10. Impact of Interfering Factors on a Glucose Sensor Model
    Anna Sabatini, Costanza Cenerini, Luca Vollero, Danilo Pietro Pau · 2024 · IEEE International Instrumentation and Measurement Technology Conference
  11. Reducing exercise-related hypoglycemia in automated insulin delivery with reinforcement learning
    Dana Zimmermann, Hans‐Michael Kaltenbach · 2024 · IFAC-PapersOnLine
  12. Modeling the SMBG measurement error
    Martina Vettoretti · 2020 · Elsevier eBooks
  13. Sensor Fusion for Glucose Monitoring Systems
    Mohamad Al Ahdab, Karim Davari Benam, Hasti Khoshamadi, Anders Lyngvi Fougner, Sebastien Gros · 2023 · IFAC-PapersOnLine
  14. Glucose variability assessment in diabetes mellitus monitoring and control
    Chiara Fabris · 2015 · Padua@research (University of Padova)
  15. Continuous glucose monitoring for optimising glycaemic performance in individuals without diabetes.
    Felicity Thomas · 2017 · UC Research Repository (University of Canterbury)
  16. An Auto-regressive Model for an Arterial Continuous Glucose Monitoring Sensor
    Tony Zhou, Jennifer L. Dickson, J. Geoffrey Chase · 2017 · IFAC-PapersOnLine
  17. Algorithm for offline recalibration of recorded CGM traces
    Florian Reiterer, Hans Philipp Zeindl, Luigi del Re · 2018 · Middle East Conference on Biomedical Engineering
  18. An in-silico Study of Using Continuous Glucose Monitoring Measures for Glycaemic Control in the ICU.
    Tony Zhou, Jennifer L. Knopp, Geoffrey M. Shaw, J. Geoffrey Chase · 2018 · IFAC-PapersOnLine
  19. Evaluating the safety and effectiveness of continuous glucose monitors for glycaemic control in intensive care.
    Tony Zhou · 2019 · UC Research Repository (University of Canterbury)
  20. Consequences of SMBG systems inaccuracy
    Enrique Campos-Náñez, Kurt Fortwaengler · 2020 · Elsevier eBooks
  21. Retrofitting CGM traces
    Simone Del Favero, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli · 2020 · Elsevier eBooks
  22. Identificación de modelos relevantes al control de glicemia en personas con diabetes mellitus tipo 1
    Hoyos Giraldo, Juan David · 2020
  23. Data-driven Design of Context-aware Monitors for Hazard Prediction in Artificial Pancreas Systems
    Xugui Zhou, Ahmed, Bulbul, J.H. Aylor, Philip Asare, Homa Alemzadeh · 2021 · arXiv (Cornell University)
  24. State of the Art
    Carlos G. Juan · 2021 · Springer theses
  25. A Markov Model of Gap Occurrence in Continuous Glucose Monitoring Data for Realistic in Silico Clinical Trials
    Martina Vettoretti, Martina Drecogna, Simone Del Favero, Andrea Facchinetti, Giovanni Sparacino · 2023 · Computer Methods and Programs in Biomedicine
  26. Modeling, Estimation, and Feedback Techniques in Type 2 Diabetes
    Mohamad Al Ahdab · 2023
  27. Accuracy of Continuous Glucose Monitoring in Adults With Postbariatric Hypoglycemia After Roux-en-Y Gastric Bypass Surgery Under Stable and Dynamic Glucose Conditions
    Aritz Lizoain, Martina Vettoretti, Antonio Ferreira, Katja A. Schönenberger, Olivia Streicher, Eva Rolfes, Vincent Braunack-Mayer, Andrea Facchinetti, David Herzig, Martina Rothenbühler et al. · 2026 · Diabetes Care
  28. Causality-Driven Test Case Minimisation for Cyber-Physical Systems
    Michael Foster, Christopher Michael POSKITT, Nicholas R. Latimer, Neil Walkinshaw, Richard J. Somers, Robert Mark Hierons · 2026 · ACM Transactions on Software Engineering and Methodology
  29. Calibration algorithms for continuous glucose monitoring from user calibration to intelligent adaptive no-user calibration
    Runhuang Yang, Zongwen Yang, Rong Fan, Xinchen Wang, Zhu Ya · 2026 · Intelligent Pharmacy
  30. Analysis and Improvement of Non-Invasive Blood Glucose Level Measurement Using Microwave Sensors Through Machine Learning
    Victoria Lopez-De-Lamo, Javier Garrigós, José Manuel Ferrández-Vicente, Carlos G. Juan · 2026 · IEEE International Instrumentation and Measurement Technology Conference