FOCUSED ULTRASOUND STIMULATION APPARATUS USING USER CUSTOMIZED ACOUSTIC LENS

    公开(公告)号:US20190022424A1

    公开(公告)日:2019-01-24

    申请号:US15868629

    申请日:2018-01-11

    Abstract: A focused ultrasound stimulation apparatus according to the present disclosure includes a transducer which outputs low intensity/high intensity ultrasound, an acoustic lens which is placed in close contact with a user's skin and is customized to focus the ultrasound onto a target focal point, and a fixture for fixing the transducer and the acoustic lens to each other. The acoustic lens is customized using a 3-dimensional (3D) printer based on the pre-captured user's cranial shape, to focus the ultrasound a desired focus target for each user, thereby improving accuracy compared to conventional ultrasound stimulation apparatus.

    HUMAN JOINT KINEMATICS INFORMATION EXTRACTION METHOD FROM MULTI-CHANNEL SURFACE ELECTROMYOGRAM SIGNALS, RECORDING MEDIUM AND DEVICE FOR PERFORMING THE METHOD
    2.
    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。

    NONINVASIVE ATRIAL ACTIVITY ESTIMATION SYSTEM AND METHOD
    3.
    发明申请
    NONINVASIVE ATRIAL ACTIVITY ESTIMATION SYSTEM AND METHOD 审中-公开
    非活动性ATRIAL活动估计系统和方法

    公开(公告)号:US20150133808A1

    公开(公告)日:2015-05-14

    申请号:US14471762

    申请日:2014-08-28

    CPC classification number: A61B5/0456 A61B5/0402 A61B5/0452

    Abstract: Provided is a non-invasive system for estimating an atrial signal, including a plurality of sensors to sense a surface electrocardiogram signal, a reference atrial signal generation unit to generate an estimated ventricular signal with respect to a R wave in an electrocardiogram signal from one sensor among the plurality of sensors, and to generate a reference atrial signal by subtracting the estimated ventricular signal from the electrocardiogram signal from the one sensor, and an atrial signal estimation unit to generate an estimated atrial signal by applying a constrained independent component analysis algorithm based on the reference atrial signal to the received surface electrocardiogram signal, and to estimate one of the estimated atrial signals as an actual atrial signal, and a method using the same.

    Abstract translation: 提供了一种用于估计心房信号的非侵入性系统,包括用于感测表面心电图信号的多个传感器,参考心房信号生成单元,用于在来自一个传感器的心电图信号中产生相对于R波的估计的心室信号 并且通过从来自所述一个传感器的心电图信号中减去所估计的心室信号以及心房信号估计单元来生成参考心房信号,以通过应用约束独立分量分析算法来产生估计的心房信号,所述约束独立分量分析算法基于 参考心房信号到接收表面的心电图信号,并且估计估计的心房信号之一作为实际心房信号,以及使用其的方法。

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