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:
Oct. 19, 1999

Filed:

Jun. 03, 1998
Applicant:
Inventor:

Eric L Canfield, Chester Springs, PA (US);

Assignee:

TruTex, Inc., West Chester, PA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B / ;
U.S. Cl.
CPC ...
600474 ; 600549 ; 600559 ;
Abstract

In contrast to the non-linear systems used in certain past infrared thermometers, the present invention uses an empirical data set to determine patient temperature. The empirical data set provided by the present invention represents actually measured thermometer sensor outputs over a substantial number of target and ambient temperature points within the thermometer's operating range. The empirical data set is collected during a testing process, and is stored in a non-volatile memory within the thermometer. At temperature measuring time, the thermometer accesses the appropriate cell in the non-volatile memory to determine temperature. The substantial size of the empirical data set eliminates guesswork and estimation--since the most accurate indication of how a thermometer will perform under certain conditions is a record of how it previously performed under those same conditions. To reduce total testing time while achieving nearly comparable accuracy, the present invention systematically collects empirical data in sufficient quantities to cover a range of reference target and ambient temperatures. To provide additional resolution, a simple linear function such as averaging (i.e., adding two collected data points and dividing by two) can be used to supply intermediate data points between the empirical points that were collected.


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