您的位置: 首页 > 农业专利 > 详情页

FALL PREDICTION BASED ON ELECTROENCEPHALOGRAPHY AND GAIT ANALYSIS DATA
专利权人:
AT&;T Intellectual Property I; L.P.
发明人:
Mohamed Ahmed Mohamed Elmahdy,Shaoda Yu,Nadia Morris,David R. Eguren
申请号:
US16220655
公开号:
US20200187829A1
申请日:
2018.12.14
申请国别(地区):
US
年份:
2020
代理人:
摘要:
A method, a computer-readable storage device, and an apparatus for predicting a fall are disclosed. In one example, a method performed by a processor deployed in a communications network includes collecting gait information associated with a user from a first wearable device worn by the user, collecting electroencephalography information associated with the user from a second wearable device worn by the user, calculating a likelihood that the user will fall within a threshold period of time from a current time, wherein the calculating is based on a combination of the gait information and the electroencephalography information; and sending an instruction to an endpoint device associated with the user when the likelihood exceeds a predefined threshold, wherein the instruction instructs the endpoint device to generate an alert alerting the user that a fall is likely.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

意 见 箱

匿名:登录

个人用户登录

找回密码

第三方账号登录

忘记密码

个人用户注册

必须为有效邮箱
6~16位数字与字母组合
6~16位数字与字母组合
请输入正确的手机号码

信息补充