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Neurostimulator devices using a machine learning method implementing a gaussian process optimization
专利权人:
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
申请号:
US15199580
公开号:
US09931508B2
申请日:
2016.06.30
申请国别(地区):
US
年份:
2018
代理人:
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.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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