US 12,453,510 B2
Neuromodulation method and system for sleep disorders
Anantha K. Pradeep, Piedmont, CA (US)
Assigned to STIM SCIENCE INC., Berkeley, CA (US)
Filed by StimScience Inc., Berkeley, CA (US)
Filed on Jun. 4, 2021, as Appl. No. 17/339,881.
Application 17/339,881 is a continuation of application No. 16/195,634, filed on Nov. 19, 2018, abandoned.
Application 17/339,881 is a continuation of application No. 17/170,521, filed on Feb. 8, 2021, granted, now 11,633,595.
Application 16/195,634 is a continuation of application No. 15/290,391, filed on Oct. 11, 2016, granted, now 10,946,196, issued on Mar. 16, 2021.
Application 15/290,391 is a continuation in part of application No. 14/083,379, filed on Nov. 18, 2013, abandoned.
Claims priority of provisional application 61/796,634, filed on Nov. 16, 2012.
Claims priority of provisional application 61/962,689, filed on Nov. 14, 2013.
Prior Publication US 2021/0290155 A1, Sep. 23, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. A61B 5/00 (2006.01); A61N 1/00 (2006.01); A61N 1/04 (2006.01); A61N 1/20 (2006.01); A61N 1/36 (2006.01)
CPC A61B 5/4836 (2013.01) [A61B 5/4064 (2013.01); A61B 5/4806 (2013.01); A61N 1/0472 (2013.01); A61N 1/20 (2013.01); A61N 1/36025 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
an interface configured to obtain a plurality of measurements from a brain of a user with a traumatic brain injury;
one or more processors configured to:
generate a plurality of brain state parameters characterizing one or more features of at least one brain state of the brain of the user using one or more observers and estimators that form a basis for the generated plurality of brain state parameters, wherein the one or more observers and estimators are used to identify a resonance frequency of electrical neural activity associated with the one or more features of the at least one brain state of the brain of the user;
generate one or more models of the brain of the user using machine learning based on the plurality of brain state parameters and the plurality of measurements; and
determine, using the one or more models of the brain of the user and training data comprising one or more mediation data points comprising one or more machine learning models of at least one additional user's brains, a procedure for mediation configured to reduce one or more symptoms of the traumatic brain injury;
a controller configured to generate one or more control signals based on the procedure for mediation; and
electrodes configured to receive the one or more control signals and electrically stimulate the brain of the user based on the one or more control signals.