首页> 外国专利> AUTOMATIC DETERMINATION OF INPUTS FOR CLOSED-LOOP ALGORITHMS FOR OPTIMIZATION OF STIMULATION PARAMETERS

AUTOMATIC DETERMINATION OF INPUTS FOR CLOSED-LOOP ALGORITHMS FOR OPTIMIZATION OF STIMULATION PARAMETERS

机译:自动确定闭环算法输入,以优化刺激参数

摘要

Methods and systems for facilitating the determining and setting of stimulation parameters for programming an electrical stimulation system are disclosed. The disclosed systems and methods use algorithms to identify patient-specific metrics to use as feedback variables for optimizing stimulation parameters for a patient. The patient-specific metric(s) are determined by ranking a plurality of clinical indicators for the patient with and without the presence of a medical intervention to determine which clinical indicators respond most strongly to the medical intervention. The clinical indicators that respond most strongly can be used as the patient-specific metric for optimizing stimulation, or a composite patient-specific metric may be derived as a mathematical combination of a plurality of clinical indicators that respond well to the intervention.
机译:公开了用于促进用于编程电刺激系统的刺激参数的确定和设置的方法和系统。所公开的系统和方法使用算法来识别特定于患者特定度量,以用作优化患者刺激参数的反馈变量。患者特异性公制通过将患者的多个临床指标进行排序,并且没有医疗干预的情况来确定哪些临床指标对医疗干预最强烈反应。最强烈的临床指示剂可以用作优化刺激的患者特异性指标,或者可以衍生复合患者特异性指标作为对干预良好响应良好的多个临床指标的数学组合。

著录项

  • 公开/公告号WO2021138363A1

    专利类型

  • 公开/公告日2021-07-08

    原文格式PDF

  • 申请/专利权人 BOSTON SCIENTIFIC NEUROMODULATION CORPORATION;

    申请/专利号WO2020US67367

  • 发明设计人 JUAREZ PAZ LEON M.;

    申请日2020-12-29

  • 分类号A61N1/36;A61N1/372;A61N1/05;

  • 国家 US

  • 入库时间 2022-08-24 19:47:43

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