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METHOD AND SYSTEM FOR ARTIFICIAL INTELLIGENCE-BASED BRAIN DISEASE DIAGNOSIS USING HUMAN DYNAMIC CHARACTERISTICS INFORMATION

机译:基于人工智能的脑疾病诊断方法和系统使用人类动态特征信息

摘要

To a method for diagnosing brain diseases based on artificial intelligence using information on human dynamics, the method for diagnosing brain diseases based on artificial intelligence using information on human dynamics includes: acquiring time-series measurement data from a measurement device equipped with an inertial sensor; Pre-processing the obtained time series type measurement data, extracting characteristic variables from the preprocessed time series type measurement data of the brain disease subject and the preprocessed time series type measurement data of the general subject, the extracted brain disease subject and the general public It may include the step of learning the human dynamic characteristic information by applying the trait variable of the subject to the artificial intelligence algorithm, and the step of diagnosing a brain disease based on the learning result.
机译:为了使用人工智能信息诊断基于人工智能的脑病的方法,使用人工动力学的人工智能基于人工智能诊断脑疾病的方法包括:从配备有惯性传感器的测量装置获取时间序列测量数据;预处理所获得的时间序列类型测量数据,从预处理的时间序列型测量数据提取特征变量脑疾病主体的预处理和预处理的时间序列类型测量数据,提取的脑病主体和一般公众可以包括通过将受试者的特征变量应用于人工智能算法来包括学习人动态特征信息的步骤,以及基于学习结果诊断脑疾病的步骤。

著录项

  • 公开/公告号KR20210084846A

    专利类型

  • 公开/公告日2021-07-08

    原文格式PDF

  • 申请/专利权人 제이어스 주식회사;

    申请/专利号KR1020190177296

  • 发明设计人 전진홍;김지훈;김경영;

    申请日2019-12-30

  • 分类号A61B5;A61B5/11;G06N3/04;G06N3/08;G16H50/20;G16H50/30;G16H50/70;

  • 国家 KR

  • 入库时间 2022-08-24 20:06:24

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