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.
Patent No.:
Date of Patent:
Apr. 03, 2018
Filed:
Jun. 30, 2016
Neurostimulator devices using a machine learning method implementing a gaussian process optimization
California Institute of Technology, Pasadena, CA (US);
University of Louisville Research Foundation, Inc., Louisville, KY (US);
The Regents of the University of California, Oakland, CA (US);
Joel W. Burdick, Pasadena, CA (US);
Yu-Chong Tai, Pasadena, CA (US);
John F. Naber, Goshen, KY (US);
Robert S. Keynton, Louisville, KY (US);
Victor Reggie Edgerton, Los Angeles, CA (US);
Roland R. Roy, Playa Vista, CA (US);
Yury Gerasimenko, Los Angeles, CA (US);
Susan J. Harkema, Louisville, KY (US);
Jonathan Hodes, Louisville, KY (US);
Claudia A Angeli, Louisville, KY (US);
Mandheerej S. Nandra, Pasadena, CA (US);
Thomas Anthony Desautels, Pasadena, CA (US);
Steven L. Upchurch, Louisville, KY (US);
Douglas J. Jackson, New Albany, IN (US);
Nicholas A. Terrafranca, Laguna Niguel, CA (US);
Yangsheng Chen, Louisville, KY (US);
CALIFORNIA INSTITUTE OF TECHNOLOGY, Pasadena, CA (US);
UNIVERSITY OF LOUISVILLE RESEARCH FOUNDATION, INC., Louisville, KY (US);
THE REGENTS OF THE UNIVERSITY OF CALIFORNIA, Oakland, CA (US);
NEURORECOVERY TECHNOLOGIES, INC., Laguna Niguel, CA (US);
Abstract
Neurostimulator devices are described comprising: a stimulation assembly connectable to a plurality of electrodes, wherein the plurality of electrodes are configured to stimulate a spinal cord; one or more sensors; and at least one processor configured to modify at least one complex stimulation pattern deliverable by the plurality of electrodes by integrating data from the one or more sensors and performing a machine learning method implementing a Gaussian Process Optimization on the at least one complex stimulation pattern. Methods of use are also described.