Abstract: Methods and systems for enhancing glucose monitoring are disclosed that allow for more precise control of the glucose level by taking into account new control parameters. The disclosed methods include obtaining an initial CGM value (CGM) from a CGM sensor, obtaining a set of parameters from a wearable device, calculating an error (E) in the initial CGM value (CGM) using a regression algorithm based upon the initial CGM value and the obtained set of parameters, and calculating an enhanced CGM value (eCGM) according to the formula eCGM=CGM?E. The error (E) is calculated according to the formula: E=?*p, wherein E is the calculated error, ? represents the data obtained from the wearable device after removing a baseline value of each wearable, and p represents regression parameters based upon an error value obtained in a training population.

Abstract: A plasma glucose estimation system is provided comprising a sensor which generates a signal from a glucose concentration measured in a medium, filtering means and a glycemic estimator. Also a method comprising: i) generating a signal which represents the glucose concentration measured in the medium; ii) filtering the signal generated; iii) applying a set of local estimation models, to the previous signal, obtaining a set of local plasma glucose estimates; iv) applying a weighting to each one of the local estimates previously obtained; v) estimating a plasma glucose concentration by the sum of the weighted local estimates obtained in the previous step; vi) correcting the signal obtained from the previous step from reference glycemia measurements and obtaining the final plasma glucose estimate.