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:
Apr. 04, 2023

Filed:

Jul. 02, 2019
Applicant:

Brandon Moore, Gainesville, VA (US);

Inventor:

Brandon Moore, Gainesville, VA (US);

Assignee:

Other;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G08B 23/00 (2006.01); G01D 7/08 (2006.01); A61C 17/02 (2006.01); A61C 17/022 (2006.01); G01D 7/00 (2006.01); A61G 15/00 (2006.01); A61B 1/24 (2006.01); G01D 21/02 (2006.01); A61C 17/06 (2006.01); G16H 40/63 (2018.01); A61M 16/00 (2006.01);
U.S. Cl.
CPC ...
G01D 7/08 (2013.01); A61B 1/24 (2013.01); A61C 17/02 (2013.01); A61C 17/022 (2013.01); A61C 17/06 (2019.05); A61G 15/00 (2013.01); G01D 7/005 (2013.01); G01D 21/02 (2013.01); G16H 40/63 (2018.01); A61G 2203/30 (2013.01); A61M 16/0051 (2013.01);
Abstract

A non-invasive dental or surgical monitoring system is disclosed. The monitoring system is comprised generally of dental or surgical equipment to be monitored, a main sensor unit, a set of sensors. The main sensor unit is in communication with various sensors removably attached to the equipment. The sensors monitor environment conditions related to the equipment rather than directly monitoring the equipment. The collected data is sent to the main sensor unit and can be accessed, or wirelessly transmitted by signal to a device or devices at another location. As collected data aggregates, a data profile can be created, machine learning can be used to discover patterns, and predictive analysis can be incorporated to help software make predictions of, or spot in real time, equipment problems based on deviations from the profile.


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