The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jan. 02, 2018
Filed:
Nov. 02, 2010
Claudio Cobelli, Padua, IT;
Giuseppe DE Nicolao, Milan, IT;
Andrea Facchinetti, Padua, IT;
Stefania Guerra, Carre, IT;
Giovanni Sparacino, Padua, IT;
Claudio Cobelli, Padua, IT;
Giuseppe De Nicolao, Milan, IT;
Andrea Facchinetti, Padua, IT;
Stefania Guerra, Carre, IT;
Giovanni Sparacino, Padua, IT;
Universita Degli Studi Di Padova, Padua, IT;
Abstract
In a method of recalibrating continuous glucose monitoring data from a user, operable on a digital processor, an indication from the user that the user has taken a meal is received (). A self-monitored of blood glucose levels from the user () at two separate times during a day corresponding to when the user has taken a meal. A glucose signal is received from a continuous glucose monitoring sensor () at times corresponding to the two separate times that the user has taken a meal. Two reconstructed blood glucose values based on the glucose signal from the continuous monitoring sensor at times when the at least two self-monitored of blood glucose levels are received from the user. A linear regression is performed () using y=ax+b, wherein x corresponds to the two reconstructed blood glucose values and y corresponds to the two self-monitored of blood glucose levels thereby generating an estimation of a and b. A recalibration signal, including the estimation of a and b, is transmitted to the continuous glucose monitoring sensor () based on the linear regression.