您的位置: 首页 > 农业专利 > 详情页

SYSTEMS AND METHODS FOR PREDICTING OPTIMAL DEEP BRAIN STIMULATION PARAMETERS
专利权人:
General Electric Company;Albany Medical College
发明人:
Radhika Madhavan,Jeffrey Ashe,Suresh Joel,Ileana Hancu,Julie Pilitsis,Marisa DiMarzio
申请号:
US16253430
公开号:
US20200230414A1
申请日:
2019.01.22
申请国别(地区):
US
年份:
2020
代理人:
摘要:
A system and method for optimizing parameters of a DBS pulse signal for treatment of a patient is provided. In predicting optimal DBS parameters, functional brain data is input into a predictor system, the functional brain data acquired responsive to a sweeping across a multi-dimensional parameter space of one or more DBS parameters. Statistical metrics of brain response are extracted from the functional brain data for one or more ROIs or voxels of the brain via the predictor system, and a DBS functional atlas is accessed, via the predictor system, that comprises disease-specific brain response maps derived from DBS treatment at optimal DBS parameter settings for a plurality of diseases or neurological conditions. One or more optimal DBS parameters are predicted for the patient based on the statistical metrics of brain response and the DBS functional atlas via the predictor system.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

意 见 箱

匿名:登录

个人用户登录

找回密码

第三方账号登录

忘记密码

个人用户注册

必须为有效邮箱
6~16位数字与字母组合
6~16位数字与字母组合
请输入正确的手机号码

信息补充