公开(公告)号：US09931508B2

公开(公告)日：2018-04-03

申请号：US15199580

申请日：2016-06-30

申请人： California Institute of Technology ,  University of Louisville Research Foundation, Inc. ,  The Regents of the University of California

发明人： Joel W. Burdick ,  Yu-Chong Tai ,  John F. Naber ,  Robert S. Keynton ,  Victor Reggie Edgerton ,  Roland R. Roy ,  Yury Gerasimenko ,  Susan J. Harkema ,  Jonathan Hodes ,  Claudia A Angeli ,  Mandheerej S. Nandra ,  Thomas Anthony Desautels ,  Steven L. Upchurch ,  Douglas J. Jackson ,  Nicholas A. Terrafranca ,  Yangsheng Chen

IPC分类号： A61N1/37 ,  A61N1/36 ,  A61N1/05 ,  A61B5/00 ,  A61B5/0492 ,  A61B5/11

CPC分类号： A61N1/36103 ,  A61B5/0492 ,  A61B5/1106 ,  A61B5/407 ,  A61B5/4076 ,  A61B5/4836 ,  A61B2505/09 ,  A61N1/0551 ,  A61N1/0553 ,  A61N1/36003 ,  A61N1/36007 ,  A61N1/36067 ,  A61N1/36082 ,  A61N1/36107 ,  A61N1/3611 ,  A61N1/36114 ,  A61N1/36125 ,  A61N1/36139

摘要： 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.