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Detecting, assessing and managing epilepsy using a multi-variate, metric-based classification analysis

机译:使用多变体,基于度量的分类分析来检测,评估和管理癫痫

摘要

A method for identifying changes in an epilepsy patient's disease state, comprising: receiving at least one body data stream; determining at least one body index from the at least one body data stream; detecting a plurality of seizure events from the at least one body index; determining at least one seizure metric value for each seizure event; performing a first classification analysis of the plurality of seizure events from the at least one seizure metric value; detecting at least one additional seizure event from the at least one determined index; determining at least one seizure metric value for each additional seizure event, performing a second classification analysis of the plurality of seizure events and the at least one additional seizure event based upon the at least one seizure metric value; comparing the results of the first classification analysis and the second classification analysis; and performing a further action.
机译:一种识别癫痫患者疾病状态变化的方法,包括:接收至少一个身体数据流; 从至少一个身体数据流中确定至少一个身体指数; 从至少一个体索引检测多个癫痫发作事件; 确定每个癫痫发作事件的至少一个扣除度量值; 从至少一个癫痫发作度量值执行对多个癫痫发作事件的第一分类分类; 从至少一个确定的索引检测至少一个附加癫痫发作事件; 确定每个附加癫痫发作事件的至少一个扣押度量值,基于至少一个扣除度量值执行多个癫痫发作事件的第二分类分类和至少一个附加癫痫发作事件; 比较第一分类分析和第二分类分析的结果; 并执行进一步的行动。

著录项

  • 公开/公告号US11083408B2

    专利类型

  • 公开/公告日2021-08-10

    原文格式PDF

  • 申请/专利权人 FLINT HILLS SCIENTIFIC L.L.C.;

    申请/专利号US201916452699

  • 发明设计人 IVAN OSORIO;

    申请日2019-06-26

  • 分类号A61B5;A61B5/283;A61B5/316;A61B5/369;G16H50/20;G16H20/40;G16H20/10;G16H50/30;A61M16/10;A61B5/0205;A61B5/145;A61N1/36;A61B5/026;A61B5/11;A61B5/021;A61B5/024;A61B5/349;A61B5/389;A61B5/08;

  • 国家 US

  • 入库时间 2022-08-24 20:29:42

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