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:
Jul. 14, 2026

Filed:

Jun. 07, 2019
Applicants:

Georgia Tech Research Corporation, Atlanta, GA (US);

Emory University, Atlanta, GA (US);

Children's Healthcare of Atlanta, Atlanta, GA (US);

Inventors:

Woon-Hong Yeo, Atlanta, GA (US);

Kevin O. Maher, Atlanta, GA (US);

Assignees:

Georgia Tech Research Corporation, Atlanta, GA (US);

Emory University, Atlanta, GA (US);

Children's Healthcare of Atlanta, Atlanta, GA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/28 (2021.01); H05K 1/02 (2006.01);
U.S. Cl.
CPC ...
A61B 5/28 (2021.01); A61B 5/0004 (2013.01); A61B 5/0015 (2013.01); A61B 5/7264 (2013.01); A61B 5/6833 (2013.01); A61B 2562/0209 (2013.01); A61B 2562/0219 (2013.01); A61B 2562/028 (2013.01); A61B 2562/125 (2013.01); A61B 2562/164 (2013.01); A61B 2562/166 (2013.01); H05K 1/0283 (2013.01); H05K 2201/0133 (2013.01);
Abstract

Stretchable condition-monitoring biopatch devices are disclosed. The stretchable condition-monitoring biopatches may include an elastomer layer. The elastomer layer may adhere to the skin without use of an adhesive. The devices described herein may include stretchable electrodes configured to sense physiological potentials from the patient or subject. The device may include a stretchable circuit board. The stretchable electrodes may be in electrical communication with the stretchable circuit board via stretchable circuits. Methods for providing machine-learning neural networks are disclosed. These methods may include convolution neural networks that incorporate inception-type convolution units that may classify and diagnose conditions based on signals detected by the condition-monitoring biopatches.


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