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A Bayesian Framework to Identify Type 1 Diabetes Physiological Models Using Easily Accessible Patient Data.

, , , and . EMBC, page 6914-6917. IEEE, (2019)

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"Smart" Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues., , and . Sensors, 10 (7): 6751-6772 (2010)A methodology to improve estimation of stimulus-evoked hemodynamic response from fNIRS measurements., , , , , , and . EMBC, page 785-788. IEEE, (2011)Fast spline smoothing via spectral factorization concepts., , and . Autom., 36 (11): 1733-1739 (2000)A compressive sensing spectral model for fNIRS haemodynamic response de-noising., , , , and . MeMeA, page 244-249. 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)Modeling the Glucose Sensor Error., , , , , and . IEEE Trans. Biomed. Eng., 61 (3): 620-629 (2014)Automated analysis of local field potentials evoked by mechanical whisker stimulation in rat barrel cortex., , , and . EMBC, page 1520-1523. IEEE, (2015)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)Retrospective Continuous-Time Blood Glucose Estimation in Free Living Conditions with a Non-Invasive Multisensor Device., , , , and . Sensors, 19 (17): 3677 (2019)Reduction of Blood Glucose Measurements to Calibrate Subcutaneous Glucose Sensors: A Bayesian Multiday Framework., , , , and . IEEE Trans. Biomed. Eng., 65 (3): 587-595 (2018)