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. 05, 2026

Filed:

Jan. 23, 2023
Applicant:

Fortell Research Inc., New York, NY (US);

Inventors:

Nicholas Morris, Brooklyn, NY (US);

Igor Lovchinsky, New York, NY (US);

Andrew J. Casper, Inver Grove Heights, MN (US);

Matthew De Jonge, Brooklyn, NY (US);

Assignee:

Fortell Research Inc., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); G10L 25/30 (2013.01); G10L 25/66 (2013.01); H04R 25/00 (2006.01);
U.S. Cl.
CPC ...
A61B 5/4803 (2013.01); A61B 5/6815 (2013.01); A61B 5/7203 (2013.01); A61B 5/7225 (2013.01); A61B 5/7257 (2013.01); A61B 5/7282 (2013.01); G10L 25/30 (2013.01); G10L 25/66 (2013.01); H04R 25/00 (2013.01); A61B 5/0004 (2013.01); A61B 2562/0204 (2013.01);
Abstract

According to some embodiments, an ear-worn device, e.g., a hearing aid, is provided that operates to monitor the health of a wearer of the ear-worn device based on an audio signal detected by the ear-worn device. In some embodiments, a method of monitoring the health of the wearer of the ear-worn device includes: detecting the audio signal with a microphone of the ear-worn device; processing the detected audio signal using a processor of the ear-worn device; and outputting, from an output signal generator of the ear-worn device, a generated output audio signal. In some embodiments, processing the detected audio signal includes: extracting data indicative of a health event associated with the wearer by processing the detected audio signal with a machine learning model; generating the output audio signal based on the detected audio signal; and outputting the data indicative of the health event.


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