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:
Mar. 17, 2020

Filed:

Mar. 25, 2019
Applicant:

Curaegis Technologies, Inc., Rochester, NY (US);

Inventors:

Matt Kenyon, West Henrietta, NY (US);

Colin Payne-Rogers, Rochester, NY (US);

Josh Jones, West Henrietta, NY (US);

Assignee:

Curaegis Technologies, Inc., Rochester, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/01 (2006.01); A61B 5/00 (2006.01); A61B 5/0205 (2006.01); A61B 5/11 (2006.01); A61B 5/16 (2006.01); G16H 50/50 (2018.01); G16H 50/30 (2018.01); G16H 50/20 (2018.01); A61B 5/18 (2006.01); G16H 20/00 (2018.01); A61B 5/024 (2006.01);
U.S. Cl.
CPC ...
A61B 5/4857 (2013.01); A61B 5/0022 (2013.01); A61B 5/01 (2013.01); A61B 5/0205 (2013.01); A61B 5/02055 (2013.01); A61B 5/11 (2013.01); A61B 5/165 (2013.01); A61B 5/18 (2013.01); A61B 5/4809 (2013.01); A61B 5/7267 (2013.01); A61B 5/7275 (2013.01); A61B 5/7278 (2013.01); A61B 5/7282 (2013.01); G16H 20/00 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/50 (2018.01); A61B 5/02438 (2013.01); A61B 5/1118 (2013.01); A61B 2560/0242 (2013.01);
Abstract

An alertness prediction bio-mathematical model for use in devices such as a wearable device that improves upon previous models of predicting fatigue and alertness by gathering data from the individual being monitored to create a more accurate estimation of alertness levels. The bio-mathematical model may be a two-process algorithm which incorporates a sleep-wake homeostasis aspect and a circadian rhythm aspect. The sleep-wake homeostasis aspect of the model is improved by using actigraphy measures in conjunction with distal skin, ambient light and heart rate measures to improve the accuracy of the sleep and wake estimations. The circadian rhythm model aspect improves fatigue prediction and estimation by using distal skin, heart rate and actigraphy data. The sleep-wake homeostasis and circadian rhythm aspects may also be combined with additional objective and subjective measures as well as information from a user to improve the accuracy of the alertness estimation even further.


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