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. 03, 2026

Filed:

Nov. 12, 2019
Applicant:

The Regents of the University of Colorado, a Body Corporate, Denver, CO (US);

Inventors:

Joel Zylberberg, Toronto, CA;

Elijah Christensen, Denver, CO (US);

John Thompson, Westminster, CO (US);

Aviva Abosch, Omaha, NE (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61N 1/36 (2006.01); A61N 1/05 (2006.01); A61N 1/378 (2006.01);
U.S. Cl.
CPC ...
A61N 1/36078 (2013.01); A61N 1/0534 (2013.01); A61N 1/36082 (2013.01); A61N 1/36139 (2013.01); A61N 1/378 (2013.01);
Abstract

Various embodiments of the present technology generally relate to closed loop deep brain stimulation based on inferred sleep stage from physiological data using machine learning classifiers. Some embodiments, for example, may use subthalamic nucleus (STN) deep brain stimulation (DBS) to treat advanced Parkinson's Disease motor symptoms and improve sleep by identifying sleep stages commensurate with clinician-scored polysomnography (PSG). The DBS may be adapted to include a novel artificial neural network (ANN) that triggers targeted stimulation in response to inferred sleep state from STN local field potentials (LFPs) recorded from implanted DBS electrodes. A feedforward neural network can be trained to prospectively identify sleep stage with PSG-level accuracy. In some embodiments, the machine learning model stored within the DBS may also adapt stimulation during specific sleep stages to treat targeted sleep deficits.


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