Brain imaging system and methods for direct prosthesis control
    3.
    发明授权
    Brain imaging system and methods for direct prosthesis control 有权
    脑成像系统和直接假体控制的方法

    公开(公告)号:US08583565B2

    公开(公告)日:2013-11-12

    申请号:US12850964

    申请日:2010-08-05

    CPC classification number: G05B13/0285 G06N5/048

    Abstract: Methods and systems for controlling a prosthesis using a brain imager that images a localized portion of the brain are provided according to one embodiment of the invention. For example, the brain imager can provide motor cortex activation data using near infrared imaging techniques and EEG techniques among others. EEG and near infrared signals can be correlated with brain activity related to limbic control and may be provided to a neural network, for example, a fuzzy neural network that maps brain activity data to limbic control data. The limbic control data may then be used to control a prosthetic limb. Other embodiments of the invention include fiber optics that provide light to and receive light from the surface of the scalp through hair.

    Abstract translation: 根据本发明的一个实施例,提供了使用对脑的局部部分进行成像的脑成像器来控制假体的方法和系统。 例如,脑成像仪可以使用近红外成像技术和脑电图技术等提供运动皮质激活数据。 EEG和近红外信号可以与与边缘控制相关的脑活动相关,并且可以提供给神经网络,例如将脑活动数据映射到边缘控制数据的模糊神经网络。 然后可以使用边缘控制数据来控制假肢。 本发明的其它实施方案包括光纤,其通过毛发提供来自头皮表面的光和光。

    Full cycle rapid scan EPR and deconvolution

    公开(公告)号:US10578703B2

    公开(公告)日:2020-03-03

    申请号:US15941936

    申请日:2018-03-30

    Inventor: Mark Tseytlin

    Abstract: Full-cycle rapid scan (RS) electron paramagnetic resonance (EPR) can be performed without the instability of prior art methods and with a higher scan rate than traditional half-scan methods. In particular, a full scan is performed, but the constant RF driving B-field can be mathematically represented as two step functions, each corresponding to one half of a full scan cycle. This mathematical representation can be carried through the deconvolution such that two deconvolutions, one for the up cycle and one for the down cycle, can be performed. The solutions to these two deconvolutions can then be summed to give a single spectrum having a higher signal-to-noise ratio than half-cycle RS scans.

    SMART APPARATUS FOR GAIT MONITORING AND FALL PREVENTION
    6.
    发明申请
    SMART APPARATUS FOR GAIT MONITORING AND FALL PREVENTION 审中-公开
    智能装置监测和防止预防

    公开(公告)号:US20090216156A1

    公开(公告)日:2009-08-27

    申请号:US12435529

    申请日:2009-05-05

    CPC classification number: A61B5/1038

    Abstract: Provided is a system for monitoring gait. More particularly, the system comprises: one or more pressure sensors; an algorithm which compares the data from the pressure sensor(s) to a stability profile, and provides a feedback value; means for communicating the feedback value; and a power source. Also provided is a method for gait analysis comprising: collecting signals from one or more pressure sensors located in pressure proximity to a foot, generating a test profile; comparing the test profile to a stability profile; generating a feedback signal; and communicating the feedback signal. The system may also comprise one or more accelerometers.

    Abstract translation: 提供了一种用于监测步态的系统。 更具体地,该系统包括:一个或多个压力传感器; 将来自压力传感器的数据与稳定性曲线进行比较并提供反馈值的算法; 用于传达反馈值的手段; 和电源。 还提供了一种用于步态分析的方法,包括:从位于压力接近脚的一个或多个压力传感器收集信号,产生测试轮廓; 将测试轮廓与稳定性曲线进行比较; 产生反馈信号; 并传送反馈信号。 该系统还可以包括一个或多个加速度计。

    Methods and apparatus using electrostatic atomization to form liquid vesicles
    7.
    发明申请
    Methods and apparatus using electrostatic atomization to form liquid vesicles 有权
    使用静电雾化形成液体囊泡的方法和装置

    公开(公告)号:US20070120280A1

    公开(公告)日:2007-05-31

    申请号:US10555432

    申请日:2004-05-14

    Abstract: The methods of the invention employ electrostatic atomization to form a compound droplet of at least two miscible fluids. The compound droplet comprises a core of a first fluid and a layer of a second fluid completely surrounding the core. The first fluid contains the agent to be encapsulated and the second fluid contains an encapsulating agent. The first and second liquids are miscible. The encapsulated droplets can contain a variety of materials including, but not limited to, polynucleotides such as DNA and RNA, proteins, bioactive agents or drugs, food, pesticides, herbicides, fragrances, antifoulants, dyes, oils, inks, cosmetics, catalysts, detergents, curing agents, flavors, fuels, metals, paints, photographic agents, biocides, pigments, plasticizers, propellants and the like and components thereof. The droplets can be encapsulated by a variety of materials, including, but not limited to, lipid bilayers and polymer shells. An additional complete or partial layer of a third fluid can be formed on the outside of the second fluid layer. The third fluid can contain a targeting or steric stabilizing agent.

    Abstract translation: 本发明的方法采用静电雾化形成至少两种可混溶流体的复合液滴。 复合液滴包括第一流体的芯和完全围绕芯的第二流体层。 第一流体含有待包封的试剂,第二流体含有封装剂。 第一和第二液体是可混溶的。 包封的液滴可以包含多种材料,包括但不限于多核苷酸如DNA和RNA,蛋白质,生物活性剂或药物,食品,农药,除草剂,香料,防污剂,染料,油,油墨,化妆品,催化剂, 洗涤剂,固化剂,香料,燃料,金属,油漆,照相剂,杀生物剂,颜料,增塑剂,推进剂等及其组分。 液滴可以被各种材料包封,包括但不限于脂双层和聚合物壳。 可以在第二流体层的外侧形成另外的第三流体的完全或部分层。 第三种流体可以含有靶向或立体稳定剂。

    Image processing for pose estimation

    公开(公告)号:US10540782B2

    公开(公告)日:2020-01-21

    申请号:US15814232

    申请日:2017-11-15

    Abstract: A method for estimating a pose of a first object in relation to a second object, the second object comprising a visual marker comprising a plurality of ellipses comprises capturing a video image of the visual marker with an image capture device on the first object, then pre-processing frames of the video image on a graphics processing unit. The method comprises detecting the visual marker by finding contours in the frames to identify the plurality of ellipses and determining that a pattern of the plurality of ellipses match a known pattern of the visual marker. Then the method comprises obtaining coordinates of two or more of the plurality of ellipses of the visual marker, estimating the pose of the first object in relation to the second object by inputting the coordinates of the plurality of ellipses into a pose estimation algorithm, and filtering results of the pose estimation algorithm.

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