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Quantitative falls risk assessment through inertial sensors and pressure sensitive platform

机译:通过惯性传感器和压敏平台进行定量跌倒风险评估

摘要

A system, method, and apparatus is provided for estimating a risk of falls from pressure sensor data and inertial sensor data. A classifier function may be generated to relate the inertial sensor and the pressure sensor data with the falls risk (e.g., falls risk or prospective falls data) of the person who generated the pressure sensor data and inertial sensor data. The classifier function may be used to predict a person's risk of falls based on inputs of pressure sensor data and inertial sensor data. Separate classifier functions may be generated for men and women, or separate classifier functions may be generated for patients who closed their eyes while data was being collected and for patients who opened their eyes while data was being collected.
机译:提供了一种用于根据压力传感器数据和惯性传感器数据来估计跌倒风险的系统,方法和装置。可以生成分类器功能,以将惯性传感器和压力传感器数据与生成压力传感器数据和惯性传感器数据的人的跌倒风险(例如,跌倒风险或预期的跌倒数据)相关联。分类器功能可以用于基于压力传感器数据和惯性传感器数据的输入来预测人跌倒的风险。可以为男性和女性生成单独的分类器功能,或者可以为收集数据时闭上眼睛的患者和收集数据时睁开眼睛的患者生成单独的分类器功能。

著录项

  • 公开/公告号US10258257B2

    专利类型

  • 公开/公告日2019-04-16

    原文格式PDF

  • 申请/专利权人 BARRY GREENE;

    申请/专利号US201213554720

  • 发明设计人 BARRY GREENE;

    申请日2012-07-20

  • 分类号A61B5/103;A61B5/11;A61B5/00;G06F19/00;

  • 国家 US

  • 入库时间 2022-08-21 12:15:53

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