Abstract: Systems and methods for non-invasively determining parameters related to blood glucose are disclosed. Embodiments are disclosed wherein a wearable sensor device comprises non-invasive sensors generating various sensed data which is then utilized to determine a glucose-related parameter.

Abstract: Various methods and apparatuses for measuring a state parameter of an individual using signals based on one or more sensors are disclosed. In one embodiment, a first set of signals is used in a first function to determine how a second set of signals is used in one or more second functions to predict the state parameter. In another embodiment, first and second functions are used where the state parameter or an indicator of the state parameter may be obtained from a relationship between the first function and the second function. The state parameter may, for example, include blood glucose levels, calories consumed or calories burned by the individual. Various methods for making such apparatuses are also disclosed.

Abstract: Disclosed is a computer-assisted method for learning from a user's manipulations to text in a document. Changes are made to current text resulting in transformed text. Based on the changes, a rule is devised. The rule is saved for future use. An apparatus for performing this computer-assisted method is also disclosed.