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    Apparatus and method for reconstructing subsurface electrophysiological patterns
    1.
    发明授权
    Apparatus and method for reconstructing subsurface electrophysiological patterns 失效
    用于重建地下电生理模式的装置和方法

    公开(公告)号：US4416288A

    公开(公告)日：1983-11-22

    申请号：US178170

    申请日：1980-08-14

    Applicant: Walter J. Freeman

    Inventor： Walter J. Freeman

    IPC: A61B5/0476 ,  G06F19/00 ,  A61B5/04

    CPC classification number: A61B5/0476

    Abstract: Signals representative of electric potentials generated by cells of a given depth in the cerebral cortex or in other organs of a living body are detected at the surface thereof by an array of electrodes. These signals are amplified, digitized, and then spatially deconvoluted, to remove distortions introduced by the physical properties of the organ, to recover the desired pattern of electric potential within the living body.

    Abstract translation: 通过电极阵列在其表面检测代表由大脑皮层或活体的其他器官中的给定深度的细胞产生的电位的信号。 这些信号被放大，数字化，然后进行空间去卷积，以消除由器官的物理性质引入的失真，以恢复生物体内所需的电位图案。

    EEG spatial filter and method
    4.
    发明授权
    EEG spatial filter and method 失效
    EEG空间滤波器和方法

    公开(公告)号：US4753246A

    公开(公告)日：1988-06-28

    申请号：US845564

    申请日：1986-03-28

    Applicant: Walter J. Freeman

    Inventor： Walter J. Freeman

    IPC: A61B5/048 ,  A61B5/04

    CPC classification number: A61B5/048

    Abstract: Method and apparatus for producing enhanced EEG or MEG information related to a selected brain activity in a subject. The apparatus includes a two-dimensional array of at least about 16 sensors for recording EEG or MEG traces from the subject. Control and test traces recorded before and during an interval in which the brain activity is occurring, respectively, are each decomposed into a series of basis functions which may be analytic components such as temporal frequency components, generated by spectral decomposition of an ensemble average of the recorded traces, or principal components determined by principal component analysis. The control and test traces are then represented as a sum of the products of the individual basis functions times a spatial domain matrix which represents the spatial pattern of amplitudes of that basis function, as measured by the individual sensors in the array. The signals can be extracted by filtering spatially and/or temporally to remove basis function components which are not related to the selected brain activity (clutter), and to remove spatial frequencies inherent in the spatial domain matrices to optimize the contrast between control and and corresponding test matrices, for each selected basis function.

    Abstract translation: 用于产生与受试者中所选大脑活动相关的增强型EEG或MEG信息的方法和装置。 该装置包括至少约16个传感器的二维阵列，用于记录来自受试者的脑电图或MEG迹线。 分别在大脑活动发生的间隔之前和期间记录的控制和测试迹线分别被分解成一系列基本功能，其可以是诸如时间频率分量之类的分析组件，其通过频谱分解产生的整体平均值 记录痕迹或主成分由主成分分析确定。 然后将控制和测试迹线表示为各个基本函数的乘积乘以表示该基函数的幅度的空间模式的空间域矩阵的和，如由阵列中的各个传感器所测量的。 信号可以通过空间和/或时间过滤来提取，以去除与选定的大脑活动（杂波）无关的基本函数分量，并且去除空间域矩阵中固有的空间频率，以优化对照和对应的对比度 测试矩阵，用于每个选定的基函数。

    Method for control of post molding fabric curl and distortion
    7.
    发明授权
    Method for control of post molding fabric curl and distortion 失效
    控制后成型织物卷曲和变形的方法

    公开(公告)号：US5756026A

    公开(公告)日：1998-05-26

    申请号：US583513

    申请日：1996-01-05

    Applicant: William L. Sanchez ,  Walter J. Freeman

    Inventor： William L. Sanchez ,  Walter J. Freeman

    IPC: B29C35/16 ,  B29C37/00 ,  B29C71/00 ,  B29C33/08 ,  B29C35/00

    CPC classification number: B29C37/005 ,  B29C35/16

    Abstract: A process for eliminating post-molding fabric curl and distortion in molded fabrics and fabrics produced thereby. The molded fabrics are laminates including a non-woven fabric face and a binder layer and/or sheet backing. Post-molding curling and distortion can be eliminated by maintaining heat on the face fabric until the backing has been cooled enough to be rigid.

    Abstract translation: 用于消除由此制成的成型织物和织物中的后成型织物卷曲和变形的方法。 模制织物是包括无纺织物面和粘合剂层和/或片材背衬的层压材料。 通过在面料上保持热量直到背衬冷却足够刚性，可以消除后成型卷曲和变形。

    Pattern learning and recognition device
    9.
    发明授权
    Pattern learning and recognition device 失效
    模式学习识别装置

    公开(公告)号：US4748674A

    公开(公告)日：1988-05-31

    申请号：US916187

    申请日：1986-10-07

    Applicant: Walter J. Freeman

    Inventor： Walter J. Freeman

    IPC: G06F15/18 ,  G06K9/66 ,  G06N3/04 ,  G06N99/00 ,  G06T7/00 ,  G06K9/62

    CPC classification number: G06N3/049 ,  G06K9/66 ,  G06N99/005

    Abstract: A pattern learning and recognition device. The device includes a parallel processing network for receiving and processing an N-dimensional vector input, and a control system for calculating, and storing output signal correlation information during the learning mode of the device, and for distributing the learned information to the network, in the form of feedback gain, during the pattern-recognition mode of the device. The network is preferably composed of an array of N oscillatory units designed to bifurcate from a rest to an active state when stimulated with a threshold input voltage surge.

    Abstract translation: 模式学习识别装置。 该装置包括用于接收和处理N维向量输入的并行处理网络，以及用于在设备的学习模式期间计算和存储输出信号相关信息并将学习信息分发到网络的控制系统， 在设备的模式识别模式期间，反馈增益的形式。 网络优选地由N个振荡单元的阵列组成，其被设计成当用阈值输入电压浪涌刺激时从休息分叉到活动状态。

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