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Linear Model Identification for Personalized Prediction and Control in Diabetes.

, , , , and . IEEE Trans. Biomed. Eng., 69 (2): 558-568 (2022)

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An Online Failure Detection Method of the Glucose Sensor-Insulin Pump System: Improved Overnight Safety of Type-1 Diabetic Subjects., , , and . IEEE Trans. Biomed. Eng., 60 (2): 406-416 (2013)A Glucose-Specific Metric to Assess Predictors and Identify Models., , and . IEEE Trans. Biomed. Eng., 59 (5): 1281-1290 (2012)A new neural network approach for short-term glucose prediction using continuous glucose monitoring time-series and meal information., , , , and . EMBC, page 5653-5656. IEEE, (2011)Modeling the Error of the Medtronic Paradigm Veo Enlite Glucose Sensor., , , , and . Sensors, 17 (6): 1361 (2017)Remote Blood Glucose Monitoring in mHealth Scenarios: A Review., , , , , , , and . Sensors, 16 (12): 1983 (2016)Continuous Glucose Monitoring Sensors: Past, Present and Future Algorithmic Challenges.. Sensors, 16 (12): 2093 (2016)Type-1 Diabetes Patient Decision Simulator for In Silico Testing Safety and Effectiveness of Insulin Treatments., , , and . IEEE Trans. Biomed. Eng., 65 (6): 1281-1290 (2018)Data Gap Modeling in Continuous Glucose Monitoring Sensor Data., , , , and . EMBC, page 4379-4382. IEEE, (2021)Detection of compression artifacts in time-series data from continuous glucose monitoring sensors using matched filters., , , , and . BSN, page 1-4. IEEE, (2023)Optimal Insulin Bolus Dosing in Type 1 Diabetes Management: Neural Network Approach Exploiting CGM Sensor Information., , , , and . EMBC, page 1-4. IEEE, (2018)