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.

Date of Patent:
Dec. 19, 2017

Filed:

Dec. 24, 2014
Applicant:

Cnoga Medical Ltd., Or Akiva, IL;

Inventor:

Yosef Segman, Or Akiva, IL;

Assignee:

CNOGA MEDICAL LTD., Or Akiva, IL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/1455 (2006.01); A61B 5/145 (2006.01); A61B 5/1495 (2006.01); A61B 5/00 (2006.01); A61B 5/01 (2006.01); A61B 5/053 (2006.01); A61B 5/1459 (2006.01); A61B 10/00 (2006.01);
U.S. Cl.
CPC ...
A61B 5/7246 (2013.01); A61B 5/0022 (2013.01); A61B 5/01 (2013.01); A61B 5/053 (2013.01); A61B 5/1455 (2013.01); A61B 5/1459 (2013.01); A61B 5/1495 (2013.01); A61B 5/14532 (2013.01); A61B 5/486 (2013.01); A61B 5/7225 (2013.01); A61B 5/7267 (2013.01); A61B 5/7278 (2013.01); A61B 5/742 (2013.01); A61B 10/00 (2013.01); A61B 2010/0083 (2013.01);
Abstract

In a combination invasive and non-invasive bioparameter monitoring device an invasive component measures the bioparameter and transmits the reading to the non-invasive component. The non-invasive component generates a bioparametric reading upon insertion by the patient of a body part. A digital processor processes a series over time of digital color images of the body part and represents the digital images as a signal over time that is converted to a learning vector using mathematical functions. A learning matrix is created. A coefficient of learning vector is deduced. From a new vector from non-invasive measurements, a new matrix of same size and structure is created. Using the coefficient of learning vector, a recognition matrix may be tested to measure the bioparameter non-invasively. The learning matrix may be expanded and kept regular. After a device is calibrated to the individual patient, universal calibration can be generated from sending data over the Internet.


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