Literature DB >> 34286613

Fault Tolerant Strategies for Automated Insulin Delivery Considering the Human Component: Current and Future Perspectives.

Aleix Beneyto1, B Wayne Bequette2, Josep Vehi1,3.   

Abstract

Automated Insulin Delivery (AID) are systems developed for daily use by people with type 1 diabetes (T1D). To ensure the safety of users, it is essential to consider how the human factor affects the performance and safety of these devices. While there are numerous publications on hardware-related failures of AID systems, there are few studies on the human component of the system. From a control point of view, people with T1D using AID systems are at the same time the plant to be controlled and the plant operator. Therefore, users may induce faults in the controller, sensors, actuators, and the plant itself. Strategies to cope with the human interaction in AID systems are needed for further development of the technology. In this paper, we present an analysis of potential faults introduced by AID users when the system is under normal operation. This is followed by a review of current fault tolerant control (FTC) approaches to identify missing areas of research. The paper concludes with a discussion on future directions for the new generation of FTC AID systems.

Entities:  

Keywords:  artificial pancreas; continuous glucose monitoring; fault tolerant control; human-in-the-loop; insulin pump; type 1 diabetes

Mesh:

Substances:

Year:  2021        PMID: 34286613      PMCID: PMC8655284          DOI: 10.1177/19322968211029297

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  65 in total

1.  Classification of Physical Activity: Information to Artificial Pancreas Control Systems in Real Time.

Authors:  Kamuran Turksoy; Thiago Marques Luz Paulino; Dessi P Zaharieva; Loren Yavelberg; Veronica Jamnik; Michael C Riddell; Ali Cinar
Journal:  J Diabetes Sci Technol       Date:  2015-10-06

Review 2.  Hypo- and Hyperglycemic Alarms: Devices and Algorithms.

Authors:  Daniel Howsmon; B Wayne Bequette
Journal:  J Diabetes Sci Technol       Date:  2015-04-30

3.  A closed-loop artificial pancreas based on risk management.

Authors:  Fraser Cameron; B Wayne Bequette; Darrell M Wilson; Bruce A Buckingham; Hyunjin Lee; Günter Niemeyer
Journal:  J Diabetes Sci Technol       Date:  2011-03-01

Review 4.  Automated blood glucose control in type 1 diabetes: A review of progress and challenges.

Authors:  Arthur Bertachi; Charrise M Ramkissoon; Jorge Bondia; Josep Vehí
Journal:  Endocrinol Diabetes Nutr (Engl Ed)       Date:  2017-12-24       Impact factor: 1.417

5.  Physiology-Invariant Meal Detection for Type 1 Diabetes.

Authors:  James Weimer; Sanjian Chen; Amy Peleckis; Michael R Rickels; Insup Lee
Journal:  Diabetes Technol Ther       Date:  2016-10-05       Impact factor: 6.118

6.  Safety constraints in an artificial pancreatic beta cell: an implementation of model predictive control with insulin on board.

Authors:  Christian Ellingsen; Eyal Dassau; Howard Zisser; Benyamin Grosman; Matthew W Percival; Lois Jovanovic; Francis J Doyle
Journal:  J Diabetes Sci Technol       Date:  2009-05-01

7.  Adding heart rate signal to a control-to-range artificial pancreas system improves the protection against hypoglycemia during exercise in type 1 diabetes.

Authors:  Marc D Breton; Sue A Brown; Colleen Hughes Karvetski; Laura Kollar; Katarina A Topchyan; Stacey M Anderson; Boris P Kovatchev
Journal:  Diabetes Technol Ther       Date:  2014-04-04       Impact factor: 6.118

8.  Continuous Glucose Monitoring Enables the Detection of Losses in Infusion Set Actuation (LISAs).

Authors:  Daniel P Howsmon; Faye Cameron; Nihat Baysal; Trang T Ly; Gregory P Forlenza; David M Maahs; Bruce A Buckingham; Juergen Hahn; B Wayne Bequette
Journal:  Sensors (Basel)       Date:  2017-01-15       Impact factor: 3.576

Review 9.  New closed-loop insulin systems.

Authors:  Charlotte K Boughton; Roman Hovorka
Journal:  Diabetologia       Date:  2021-02-06       Impact factor: 10.122

10.  Unannounced Meals in the Artificial Pancreas: Detection Using Continuous Glucose Monitoring.

Authors:  Charrise M Ramkissoon; Pau Herrero; Jorge Bondia; Josep Vehi
Journal:  Sensors (Basel)       Date:  2018-03-16       Impact factor: 3.576

View more
  1 in total

Review 1.  Application of Artificial Intelligence in Discovery and Development of Anticancer and Antidiabetic Therapeutic Agents.

Authors:  Amal Alqahtani
Journal:  Evid Based Complement Alternat Med       Date:  2022-04-25       Impact factor: 2.650

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.