HUMAN JOINT KINEMATICS INFORMATION EXTRACTION METHOD FROM MULTI-CHANNEL SURFACE ELECTROMYOGRAM SIGNALS, RECORDING MEDIUM AND DEVICE FOR PERFORMING THE METHOD
    1.
    发明申请
    HUMAN JOINT KINEMATICS INFORMATION EXTRACTION METHOD FROM MULTI-CHANNEL SURFACE ELECTROMYOGRAM SIGNALS, RECORDING MEDIUM AND DEVICE FOR PERFORMING THE METHOD 审中-公开
    人机界面动力学信息提取方法来自多通道表面电子信号,记录介质和用于执行该方法的装置

    公开(公告)号:US20150332013A1

    公开(公告)日:2015-11-19

    申请号:US14331825

    申请日:2014-07-15

    CPC classification number: G06F3/015 A61B5/0488 A61B5/4528 G16H50/50

    Abstract: A human joint kinematics information extraction method includes generating a joint kinematics parameter estimator of a multiple linear model based on electromyogram (EMG) signals and joint kinematics information in the event of joint movement, measuring EMG signals in real time, and estimating joint kinematics information by applying the EMG signals measured in real time to the joint kinematics parameter estimator. Accordingly, human joint kinematics information may be extracted safely and accurately using surface EMG signals extracted non-invasively.

    Abstract translation: 人体关节运动学信息提取方法包括:在联合移动的情况下,基于肌电图(EMG)信号和关节运动学信息生成多线性模型的关节运动学参数估计器,实时测量EMG信号,以及通过以下方式估计关节运动学信息: 将实时测量的EMG信号应用于关节运动学参数估计器。 因此,使用非侵入性地提取的表面EMG信号,可以安全且准确地提取人体关节运动学信息。

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