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:
Jan. 10, 2023

Filed:

Apr. 28, 2015
Applicant:

The General Hospital Corporation, Boston, MA (US);

Inventors:

Michael J. Prerau, Watertown, MA (US);

Patrick L. Purdon, Somerville, MA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 3/113 (2006.01); A61B 5/145 (2006.01); A61B 5/11 (2006.01); A61B 5/0205 (2006.01); A61B 5/374 (2021.01); A61B 5/389 (2021.01); A61B 5/0533 (2021.01); A61B 5/08 (2006.01);
U.S. Cl.
CPC ...
A61B 5/4812 (2013.01); A61B 3/113 (2013.01); A61B 5/0205 (2013.01); A61B 5/11 (2013.01); A61B 5/14542 (2013.01); A61B 5/374 (2021.01); A61B 5/389 (2021.01); A61B 5/4815 (2013.01); A61B 5/7278 (2013.01); A61B 5/0533 (2013.01); A61B 5/08 (2013.01);
Abstract

A system and method for identifying sleep states of a subject are provided. In some aspects, the method includes acquiring physiological data from a subject over a sleep period using sensors positioned about the subject, and assembling the physiological data into time-series datasets. The method also includes selecting a temporal window in which signals associated with the time-series datasets are substantially stationary, computing a time bandwidth product based on a selected spectral resolution and the selected temporal window, and determining a number of tapers using the computed time bandwidth product. The method further includes computing a spectrogram using the determined number of tapers and the time-series datasets, analyzing the spectrogram to identify signatures of sleep in the subject, and generating, using the identified signatures, a report indicative of sleep states of the subject.


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