发明申请
US20150157274A1 METHOD AND APPARATUS FOR DETECTING DISEASE REGRESSION THROUGH NETWORK-BASED GAIT ANALYSIS
有权
通过基于网络的GAIT分析检测疾病回归的方法和装置
- 专利标题： METHOD AND APPARATUS FOR DETECTING DISEASE REGRESSION THROUGH NETWORK-BASED GAIT ANALYSIS
- 专利标题（中）： 通过基于网络的GAIT分析检测疾病回归的方法和装置
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申请号： US14099570申请日： 2013-12-06
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公开(公告)号： US20150157274A1公开(公告)日： 2015-06-11
- 发明人: Saeed S. Ghassemzadeh , Lusheng Ji , Robert Raymond Miller, II , Manish Gupta , Vahid Tarokh
- 申请人： President and Fellows of Harvard College , AT&T Intellectual Property I, L.P.
- 申请人地址： US MA Cambridge US GA Atlanta
- 专利权人： President and Fellows of Harvard College,AT&T Intellectual Property I, L.P.
- 当前专利权人： President and Fellows of Harvard College,AT&T Intellectual Property I, L.P.
- 当前专利权人地址： US MA Cambridge US GA Atlanta
- 主分类号： A61B5/00
- IPC分类号： A61B5/00 ; A61B5/11
摘要：
A method, computer-readable storage device and apparatus for determining a regression of a medical condition are disclosed. For example, a method receives characteristics of motion information, wherein the characteristics of motion information is based upon gait information, compares the characteristics of motion information over a time period to a profile of the medical condition, wherein the profile of the medical condition comprises a plurality of signatures associated with different stages of the medical condition, determines a potential presence of the regression of the medical condition when the characteristics of motion information matches one of the plurality of signatures, and transmits a notification of the potential presence of the regression of the medical condition.
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