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Remote Blood Glucose Monitoring in mHealth Scenarios: A Review., , , , , , , и . Sensors, 16 (12): 1983 (2016)Continuous Glucose Monitoring Sensors: Past, Present and Future Algorithmic Challenges.. Sensors, 16 (12): 2093 (2016)Modeling the Error of the Medtronic Paradigm Veo Enlite Glucose Sensor., , , , и . Sensors, 17 (6): 1361 (2017)A new neural network approach for short-term glucose prediction using continuous glucose monitoring time-series and meal information., , , , и . EMBC, стр. 5653-5656. IEEE, (2011)A Glucose-Specific Metric to Assess Predictors and Identify Models., , и . IEEE Trans. Biomed. Eng., 59 (5): 1281-1290 (2012)An Online Failure Detection Method of the Glucose Sensor-Insulin Pump System: Improved Overnight Safety of Type-1 Diabetic Subjects., , , и . IEEE Trans. Biomed. Eng., 60 (2): 406-416 (2013)Type-1 Diabetes Patient Decision Simulator for In Silico Testing Safety and Effectiveness of Insulin Treatments., , , и . IEEE Trans. Biomed. Eng., 65 (6): 1281-1290 (2018)Data Gap Modeling in Continuous Glucose Monitoring Sensor Data., , , , и . EMBC, стр. 4379-4382. IEEE, (2021)Detection of compression artifacts in time-series data from continuous glucose monitoring sensors using matched filters., , , , и . BSN, стр. 1-4. IEEE, (2023)A Personalized and Interpretable Deep Learning Based Approach to Predict Blood Glucose Concentration in Type 1 Diabetes., , , , , , и . KDH@ECAI, том 2675 из CEUR Workshop Proceedings, стр. 75-79. CEUR-WS.org, (2020)