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:
May. 07, 2024

Filed:

Apr. 06, 2021
Applicant:

Careband Inc., Chicago, IL (US);

Inventors:

Adam G. Sobol, Dayton, OH (US);

Paul Sheldon, Arlington Heights, IL (US);

Jon G. Ledwith, Palatine, IL (US);

Todd Sobol, Dayton, OH (US);

John D. Reed, Dayton, OH (US);

Assignee:

CareBand Inc., Chicago, IL (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04W 4/80 (2018.01); G06N 3/08 (2023.01); G16H 40/20 (2018.01); G16H 40/67 (2018.01); H04W 4/029 (2018.01); H04W 4/38 (2018.01);
U.S. Cl.
CPC ...
G16H 40/67 (2018.01); G06N 3/08 (2013.01); G16H 40/20 (2018.01); H04W 4/029 (2018.02); H04W 4/38 (2018.02); H04W 4/80 (2018.02);
Abstract

A wearable electronic device, a system and methods of monitoring with a wearable electronic device. The device includes a hybrid wireless communication module with wireless communication sub-modules to selectively acquire location data from both indoor and outdoor sources, as well as a wireless communication sub-module to selectively transmit a cellular-based LPWAN signal to provide location information based on the acquired data. The device may also include sensors to collect one or more of environmental, activity and physiological data. The device may transmit some or all of its acquired data to the system to provide a predictive model to correlate changes in the acquired data to corresponding health, safety or related changes to a wearer of the device. In one form, the predictive health care protocol uses a machine learning model at least some of which may be performed on the device.


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