Abstract: A system for estimating the glucose levels in blood is developed in the present invention. Said system establishes a physiological model of the pulse wave and its energy, which are also correlated with the glucose metabolic function, for generating a fixed length vector containing the values of the previous model combined with other variables related to the user such as, for example, age, sex, height, weight, etc. . . . This fixed length vector is used as an excitation of a function estimation system based on “random forests” for the calculation of the interest variable. The main advantage of this parameter estimation system lays in the fact that it does not apply any restriction a priori on the function to be estimated, and that it is robust in front of heterogeneous data, such as in the case of the present invention.

Abstract: The present invention relates to a system for the estimation of the systolic (SBP), diastolic (DBP) and average (MAP) blood pressure. Said system establishes a physiological model of the pulse wave combined with its energy for, afterwards, generating a fixed length vector containing the previous model's values with other variables related to the user like, for example, age, sex, height, weight, etc. . . . This fixed length vector is used as an input of a function estimator system based on “random forests” for the calculation of the three variables of interest. The main advantage of this function estimator lies in that it does not impose any restriction beforehand over the function to be estimated, and it is also very reliable with heterogeneous data, as in the present invention's case.