An ensemble machine learning approach for the detection of unannounced meals to enhance postprandial glucose control.
Comput. Biol. Medicine, 2024
Intermittent closed-loop blood glucose control for people with type 1 diabetes on multiple daily injections.
Comput. Methods Programs Biomed., June, 2023
A Machine Learning Approach to Minimize Nocturnal Hypoglycemic Events in Type 1 Diabetic Patients under Multiple Doses of Insulin.
Sensors, 2022
Generation of Individualized Synthetic Data for Augmentation of the Type 1 Diabetes Data Sets Using Deep Learning Models.
Sensors, 2022
A simulator with realistic and challenging scenarios for virtual T1D patients undergoing CSII and MDI therapy.
J. Biomed. Informatics, 2022
Bolus Insulin calculation without meal information. A reinforcement learning approach.
Artif. Intell. Medicine, 2022
A Hybrid Automata Approach for Monitoring the Patient in the Loop in Artificial Pancreas Systems.
Sensors, 2021
Detection and Control of Unannounced Exercise in the Artificial Pancreas Without Additional Physiological Signals.
IEEE J. Biomed. Health Informatics, 2020
A New Blood Glucose Control Scheme for Unannounced Exercise in Type 1 Diabetic Subjects.
IEEE Trans. Control. Syst. Technol., 2020
Postprandial fuzzy adaptive strategy for a hybrid proportional derivative controller for the artificial pancreas.
Medical Biol. Eng. Comput., 2018