The Artificial Pancreas: Current Situation and Future Directions presents research on the top issues relating to the artificial pancreas (AP) and its application to diabetes. AP is a newer form of treatment to accurately and efficiently inject insulin, thereby significantly improving the patient’s quality of life. By connecting a continuous glucose monitor (CGM) to a continuous subcutaneous insulin infusion using a control algorithm, AP delivers and regulates the most accurate amount of insulin to maintain normal glycemic values. Featured chapters in this book are written by world leaders in AP research, thus providing readers with the latest studies and results.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. Dedication - p. v 6. Contributors - p. xiii 7. About the contributors - p. xvii 8. Foreword - p. xxix 9. Preface - p. xxxvii 10. Chapter 1: Feedback control algorithms for automated glucose management in T1DM: the state of the art - p. xxxvii 11. Chapter 2: Getting IoT-ready - p. 27 12. Chapter 3: Multivariable AP with adaptive control - p. 57 13. Chapter 4: The ARG algorithm: clinical trials in Argentina - p. 77 14. Chapter 5: Use of intraperitoneal insulin delivery for artificial pancreas - p. 104 15. Chapter 6: Physiological models for artificial pancreas development - p. 121 16. Chapter 7: Deployment of modular MPC for type 1 diabetes control: the Italian experience 2008–2016 - p. 152 17. Chapter 8: Integrating the clinical and engineering aspects of closed-loop control: the Virginia experience - p. 182 18. Chapter 9: Strategies to mitigate hypoglycaemia in the artificial pancreas - p. 194 19. Chapter 10: Multiple-signal artificial pancreas systems - p. 217 20. Chapter 11: Artificial pancreas in pediatrics - p. 235 21. Index - p. 261
The Artificial Pancreas: Current Situation and Future Directions presents research on the top issues relating to the artificial pancreas (AP) and its application to diabetes. AP is a newer form of treatment to accurately and efficiently inject insulin, thereby significantly improving the patient’s quality of life. By connecting a continuous glucose monitor (CGM) to a continuous subcutaneous insulin infusion using a control algorithm, AP delivers and regulates the most accurate amount of insulin to maintain normal glycemic values. Featured chapters in this book are written by world leaders in AP research, thus providing readers with the latest studies and results.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. Dedication - p. v 6. Contributors - p. xiii 7. About the contributors - p. xvii 8. Foreword - p. xxix 9. Preface - p. xxxvii 10. Chapter 1: Feedback control algorithms for automated glucose management in T1DM: the state of the art - p. xxxvii 11. Chapter 2: Getting IoT-ready - p. 27 12. Chapter 3: Multivariable AP with adaptive control - p. 57 13. Chapter 4: The ARG algorithm: clinical trials in Argentina - p. 77 14. Chapter 5: Use of intraperitoneal insulin delivery for artificial pancreas - p. 104 15. Chapter 6: Physiological models for artificial pancreas development - p. 121 16. Chapter 7: Deployment of modular MPC for type 1 diabetes control: the Italian experience 2008–2016 - p. 152 17. Chapter 8: Integrating the clinical and engineering aspects of closed-loop control: the Virginia experience - p. 182 18. Chapter 9: Strategies to mitigate hypoglycaemia in the artificial pancreas - p. 194 19. Chapter 10: Multiple-signal artificial pancreas systems - p. 217 20. Chapter 11: Artificial pancreas in pediatrics - p. 235 21. Index - p. 261
