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Filtering and Prediction of the Blood Glucose Concentration using an Android Smart Phone and a Continuous Glucose Monitor., , , and . CoRR, (2019)Meal Detection for Type 1 Diabetes Using Moving Horizon Estimation., , and . CCTA, page 1674-1679. IEEE, (2018)Sensor-based detection and estimation of meal carbohydrates for people with diabetes., , , , , and . Biomed. Signal Process. Control., (2019)Classification of voice disorders in children with cochlear implantation and hearing aid using multiple classifier fusion., , , , and . ISSPA, page 304-307. IEEE, (2010)Parameter Estimation in Type 1 Diabetes Models for Model-Based Control Applications., , and . ACC, page 4112-4117. IEEE, (2019)Fault and meal detection by redundant continuous glucose monitors and the unscented Kalman filter., , , , and . Biomed. Signal Process. Control., (2017)Comparison of three nonlinear filters for fault detection in continuous glucose monitors., , , , , , , and . EMBC, page 3507-3510. IEEE, (2016)Toward an Optimal Definition of Hypoglycemia with Continuous Glucose Monitoring., , , , and . Comput. Methods Programs Biomed., (2021)Application of the continuous-discrete extended Kalman filter for fault detection in continuous glucose monitors for type 1 diabetes., , , , , , and . ECC, page 714-719. IEEE, (2016)An ensemble nonlinear model predictive control algorithm in an artificial pancreas for people with type 1 diabetes., , , , , and . ECC, page 2115-2120. IEEE, (2016)