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:
Feb. 15, 2022

Filed:

Nov. 01, 2017
Applicant:

Emory University, Atlanta, GA (US);

Inventors:

Gari Clifford, Atlanta, GA (US);

Erik Reinertsen, Atlanta, GA (US);

Amit Shah, Atlanta, GA (US);

Shamim Nemati, Atlanta, GA (US);

Assignee:

EMORY UNIVERSITY, Atlanta, GA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/024 (2006.01); A61B 5/00 (2006.01); A61B 5/316 (2021.01); A61B 5/352 (2021.01); A61B 5/16 (2006.01);
U.S. Cl.
CPC ...
A61B 5/165 (2013.01); A61B 5/024 (2013.01); A61B 5/316 (2021.01); A61B 5/352 (2021.01); A61B 5/7267 (2013.01);
Abstract

Systems, methods, and computer-readable media for classifying a PTSD status. In an embodiment, an example method for using a classifier can comprise receiving information from electrocardiography performed on an individual; determining features from the information; comparing the features to the a logistic regression classifier trained using features determined from median quiescent segments of RR interval information from individuals with and without PTSD, wherein the median quiescent segments are non-overlapping time periods of lowest median HR for each individual, and the features include one or more of the following: deceleration capacity (DC), low frequency (LF) power, very low frequency (VLF) power, and standard deviation of all normal RR intervals (SDNN); and determining a posttraumatic stress disorder (PTSD) status of the individual based on the comparison of the features to the classifier, wherein the PTSD status is a severity of PTSD based on a probability of PTSD.


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