Evaluation of movement disorders
    3.
    发明授权
    Evaluation of movement disorders 有权
    运动障碍评估

    公开(公告)号:US09186095B2

    公开(公告)日:2015-11-17

    申请号:US14024368

    申请日:2013-09-11

    Abstract: This disclosure relates to a system and method to evaluate movement disorders. A movement data aggregator can combine data from a plurality of sensors into an aggregate movement data describing multi-dimensional movement of a handheld device. A calculator to compute an indication of a movement disorder based on the movement vector data and user input data, the user input data being generated in response to physical interaction between the handheld device and a human machine interface of a computing device/machine that is separate from the handheld device. In some examples, the handheld device can communicate with computing device via a wireless interface.

    Abstract translation: 本公开涉及评估运动障碍的系统和方法。 移动数据聚合器可以将来自多个传感器的数据组合成描述手持设备的多维运动的聚集移动数据。 一种计算器,用于基于所述移动向量数据和用户输入数据来计算运动障碍的指示,所述用户输入数据是响应于所述手持设备与分离的计算设备/机器的人机界面之间的物理交互而产生的 从手持设备。 在一些示例中,手持设备可以经由无线接口与计算设备进行通信。

    EVALUATION OF MOVEMENT DISORDERS
    4.
    发明申请
    EVALUATION OF MOVEMENT DISORDERS 有权
    运动障碍评估

    公开(公告)号:US20140073994A1

    公开(公告)日:2014-03-13

    申请号:US14024368

    申请日:2013-09-11

    Abstract: This disclosure relates to a system and method to evaluate movement disorders. A movement data aggregator can combine data from a plurality of sensors into an aggregate movement data describing multi-dimensional movement of a handheld device. A calculator to compute an indication of a movement disorder based on the movement vector data and user input data, the user input data being generated in response to physical interaction between the handheld device and a human machine interface of a computing device/machine that is separate from the handheld device. In some examples, the handheld device can communicate with computing device via a wireless interface.

    Abstract translation: 本公开涉及评估运动障碍的系统和方法。 运动数据聚合器可以将来自多个传感器的数据组合成描述手持设备的多维运动的聚集移动数据。 一种计算器,用于基于所述移动向量数据和用户输入数据来计算运动障碍的指示,所述用户输入数据是响应于所述手持设备与分离的计算设备/机器的人机界面之间的物理交互而产生的 从手持设备。 在一些示例中,手持设备可以经由无线接口与计算设备进行通信。

    SYSTEM AND METHOD TO ESTIMATE REGION OF TISSUE ACTIVATION

    公开(公告)号:US20190287020A1

    公开(公告)日:2019-09-19

    申请号:US16431581

    申请日:2019-06-04

    Abstract: A computer-implemented method for determining the volume of activation of neural tissue. In one embodiment, the method uses one or more parametric equations that define a volume of activation, wherein the parameters for the one or more parametric equations are given as a function of an input vector that includes stimulation parameters. After receiving input data that includes values for the stimulation parameters and defining the input vector using the input data, the input vector is applied to the function to obtain the parameters for the one or more parametric equations. The parametric equation is solved to obtain a calculated volume of activation.

    SYSTEM AND METHOD TO ESTIMATE REGION OF TISSUE ACTIVATION

    公开(公告)号:US20210220656A1

    公开(公告)日:2021-07-22

    申请号:US17203044

    申请日:2021-03-16

    Abstract: A computer-implemented method for determining the volume of activation of neural tissue. In one embodiment, the method uses one or more parametric equations that define a volume of activation, wherein the parameters for the one or more parametric equations are given as a function of an input vector that includes stimulation parameters. After receiving input data that includes values for the stimulation parameters and defining the input vector using the input data, the input vector is applied to the function to obtain the parameters for the one or more parametric equations. The parametric equation is solved to obtain a calculated volume of activation.

    Evaluation of movement disorders
    7.
    发明授权

    公开(公告)号:US10028695B2

    公开(公告)日:2018-07-24

    申请号:US14939526

    申请日:2015-11-12

    Abstract: This disclosure relates to a system and method to evaluate movement disorders. A movement data aggregator can combine data from a plurality of sensors into an aggregate movement data describing multi-dimensional movement of a handheld device. A calculator to compute an indication of a movement disorder based on the movement vector data and user input data, the user input data being generated in response to physical interaction between the handheld device and a human machine interface of a computing device/machine that is separate from the handheld device. In some examples, the handheld device can communicate with computing device via a wireless interface.

    EVALUATION OF MOVEMENT DISORDERS
    8.
    发明申请
    EVALUATION OF MOVEMENT DISORDERS 审中-公开
    运动障碍评估

    公开(公告)号:US20160128621A1

    公开(公告)日:2016-05-12

    申请号:US14939526

    申请日:2015-11-12

    Abstract: This disclosure relates to a system and method to evaluate movement disorders. A movement data aggregator can combine data from a plurality of sensors into an aggregate movement data describing multi-dimensional movement of a handheld device. A calculator to compute an indication of a movement disorder based on the movement vector data and user input data, the user input data being generated in response to physical interaction between the handheld device and a human machine interface of a computing device/machine that is separate from the handheld device. In some examples, the handheld device can communicate with computing device via a wireless interface.

    Abstract translation: 本公开涉及评估运动障碍的系统和方法。 运动数据聚合器可以将来自多个传感器的数据组合成描述手持设备的多维运动的聚集移动数据。 一种计算器,用于基于所述移动向量数据和用户输入数据来计算运动障碍的指示,所述用户输入数据是响应于所述手持设备与分离的计算设备/机器的人机界面之间的物理交互而产生的 从手持设备。 在一些示例中,手持设备可以经由无线接口与计算设备进行通信。

    System and method for motor and cognitive analysis

    公开(公告)号:US10741287B2

    公开(公告)日:2020-08-11

    申请号:US13644344

    申请日:2012-10-04

    Abstract: In an example embodiment, this disclosure provides a non-transitive computer-readable medium on which are stored instructions executable by a processor, the instructions which, when executed by the processor, cause the processor to perform a method. The method includes computing, based on test performance data of a user, at least one of a performance variable characterizing cognitive functioning and a performance variable characterizing neuromotor functioning. For each of the at least one performance variable, a respective score can be computed based on the respective performance variable and based on a set of performance metrics. The method can also include outputting, via an output device, the at least one computed score.

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