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Forecasting of Glucose Levels and Hypoglycemic Events: Head-to-Head Comparison of Linear and Nonlinear Data-Driven Algorithms Based on Continuous Glucose Monitoring Data Only.

, , , , and . Sensors, 21 (5): 1647 (2021)

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"Smart" Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues., , and . Sensors, 10 (7): 6751-6772 (2010)Incorporating Sparse and Quantized Carbohydrates Suggestions in Model Predictive Control for Artificial Pancreas in Type 1 Diabetes., , , , and . IEEE Trans. Control. Syst. Technol., 31 (2): 570-586 (March 2023)A compressive sensing spectral model for fNIRS haemodynamic response de-noising., , , , and . MeMeA, page 244-249. IEEE, (2015)A methodology to improve estimation of stimulus-evoked hemodynamic response from fNIRS measurements., , , , , , and . EMBC, page 785-788. IEEE, (2011)Retrospective Continuous-Time Blood Glucose Estimation in Free Living Conditions with a Non-Invasive Multisensor Device., , , , and . Sensors, 19 (17): 3677 (2019)Individualized Models for Glucose Prediction in Type 1 Diabetes: Comparing Black-Box Approaches to a Physiological White-Box One., , , , and . IEEE Trans. Biomed. Eng., 70 (11): 3105-3115 (November 2023)Reduction of Blood Glucose Measurements to Calibrate Subcutaneous Glucose Sensors: A Bayesian Multiday Framework., , , , and . IEEE Trans. Biomed. Eng., 65 (3): 587-595 (2018)Fast spline smoothing via spectral factorization concepts., , and . Autom., 36 (11): 1733-1739 (2000)Automated analysis of local field potentials evoked by mechanical whisker stimulation in rat barrel cortex., , , and . EMBC, page 1520-1523. IEEE, (2015)Neural Network Incorporating Meal Information Improves Accuracy of Short-Time Prediction of Glucose Concentration., , , , and . IEEE Trans. Biomed. Eng., 59 (6): 1550-1560 (2012)