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Method for Detecting Critical Trends in Multi-Parameter Patient Monitoring and Clinical Data Using Clustering

机译：聚类的多参数患者监护和临床数据关键趋势检测方法

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摘要

A physiological data analysis component (10) determines a condition of an individual. The physiological data analysis component (10) includes an input component (12) that receives a plurality of different physiological parameters of the individual. A classification component (20) of the physiological data analysis component (10) maps these parameters to a multi-dimensional space having a plurality of regions corresponding to two or more conditions. The classification component (20) determines the condition of the individual based on the region the physiological parameters mapped within. An output component (24) of the physiological data analysis component (10) conveys the condition of the individual to a user of the physiological data analysis component (10).

机译：生理数据分析组件（ 10 ）确定个人的状况。生理数据分析组件（ 10 ）包括输入组件（ 12 ），该输入组件接收个人的多个不同生理参数。生理数据分析组件（ 10 ）的分类组件（ 20 ）将这些参数映射到多维空间，该多维空间具有对应于两个或多个条件的多个区域。分类组件（ 20 ）根据生理参数映射到的区域确定个体的状况。生理数据分析组件（ 10 ）的输出组件（ 24 ）将个体的状况传达给生理数据分析组件（ 10 < / B>）。 展开▼

著录项

公开/公告号US2008281170A1

专利类型

公开/公告日2008-11-13

原文格式PDF

申请/专利权人 LARRY J. ESHELMAN;XINXIN (KATIE) ZHU;
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申请/专利号US20060092986

发明设计人 LARRY J. ESHELMAN;XINXIN (KATIE) ZHU;
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申请日2006-10-17

分类号A61B5;

国家 US

入库时间 2022-08-21 19:34:07

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4. METHOD FOR DETECTING CRITICAL TRENDS IN MULTI-PARAMETER PATIENT MONITORING AND CLINICAL DATA USING CLUSTERING [P] . 欧洲知识产权局专利： EP1949279A1 . 2008-07-30

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5. METHOD FOR DETECTING CRITICAL TRENDS IN MULTI-PARAMETER PATIENT MONITORING AND CLINICAL DATA USING CLUSTERING [P] . 世界知识产权组织专利： WO2007054841A1 . 2007-05-18

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