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:
Apr. 30, 2024

Filed:

Feb. 16, 2021
Applicant:

Northeastern University, Boston, MA (US);

Inventors:

Daniel Uvaydov, Allston, MA (US);

Raffaele Guida, Boston, MA (US);

Francesco Restuccia, Boston, MA (US);

Tommaso Melodia, Newton, MA (US);

Assignee:

Northeastern University, Boston, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G16H 40/60 (2018.01);
U.S. Cl.
CPC ...
A61B 5/7267 (2013.01); A61B 5/6867 (2013.01); A61B 5/7225 (2013.01); A61B 5/74 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G16H 40/60 (2018.01);
Abstract

A deep learning medical device implantable in a body is provided. The device includes a processing and communication unit and a sensing and actuation unit. The processing and communication unit includes a deep learning module including a neural network trained to process the input samples, received from the sensing and actuation unit, through a plurality of layers to classify physiological parameters and provide classification results. A communication interface in communication with the deep learning module receives the classification results for ultrasonic transmission through biological tissue. Methods of sensing and classifying physiological parameters of a body and methods of embedding deep learning into an implantable medical device are also provided.


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