Brain Stimulation models, systems, devices, and methods
    1.
    发明申请
    Brain Stimulation models, systems, devices, and methods 有权
    脑刺激模型,系统,设备和方法

    公开(公告)号:US20080114579A1

    公开(公告)日:2008-05-15

    申请号:US12008760

    申请日:2008-01-14

    IPC分类号: G06G7/60

    摘要: This document discusses, among other things, brain stimulation models, systems, devices, and methods, such as for deep brain stimulation (DBS) or other electrical stimulation. A model computes a volume of influence region for a simulated electrical stimulation using certain stimulation parameters, such as amplitude, pulsewidth, frequency, pulse morphology, electrode contact selection or location, return path electrode selection, pulse polarity, etc. The model uses a non-uniform tissue conductivity. This accurately represents brain tissue, which has highly directionally conductive neuron pathways yielding a non-homogeneous and anisotropic tissue medium. In one example, the non-uniform tissue conductivity is obtained from diffusion tensor imaging (DTI) data. In one example, a second difference of an electric potential distribution is used to define a volume of activation (VOA) or similar volume of influence. In another example, a neuron or axon model is used to calculate the volume of influence without computing the second difference of the electric potential distribution.

    摘要翻译: 本文件还讨论了脑刺激模型,系统,设备和方法,例如深部脑刺激(DBS)或其他电刺激。 模型使用某些刺激参数(如幅度,脉冲宽度,频率,脉冲形态,电极接触选择或位置,返回路径电极选择,脉冲极性等)来计算模拟电刺激的影响区域的体积。该模型使用非 - 组织电导率不均匀。 这准确地表示脑组织,其具有产生非均匀和各向异性的组织培养基的高度定向导电的神经元途径。 在一个示例中,从扩散张量成像(DTI)数据获得非均匀组织电导率。 在一个示例中,电位分布的第二差异用于定义激活量(VOA)或类似的影响体积。 在另一个例子中,使用神经元或轴突模型来计算影响的体积,而不计算电势分布的第二差异。

    Brain stimulation models, systems, devices, and methods
    2.
    发明申请
    Brain stimulation models, systems, devices, and methods 有权
    脑刺激模型,系统,设备和方法

    公开(公告)号:US20080114233A1

    公开(公告)日:2008-05-15

    申请号:US12008764

    申请日:2008-01-14

    IPC分类号: A61B5/00 G06G7/60

    摘要: This document discusses, among other things, brain stimulation models, systems, devices, and methods, such as for deep brain stimulation (DBS) or other electrical stimulation. A model computes a volume of influence region for a simulated electrical stimulation using certain stimulation parameters, such as amplitude, pulsewidth, frequency, pulse morphology, electrode contact selection or location, return path electrode selection, pulse polarity, etc. The model uses a non-uniform tissue conductivity. This accurately represents brain tissue, which has highly directionally conductive neuron pathways yielding a non-homogeneous and anisotropic tissue medium. In one example, the non-uniform tissue conductivity is obtained from diffusion tensor imaging (DTI) data. In one example, a second difference of an electric potential distribution is used to define a volume of activation (VOA) or similar volume of influence. In another example, a neuron or axon model is used to calculate the volume of influence without computing the second difference of the electric potential distribution.

    摘要翻译: 本文件还讨论了脑刺激模型,系统,设备和方法,例如深部脑刺激(DBS)或其他电刺激。 模型使用某些刺激参数(如幅度,脉冲宽度,频率,脉冲形态,电极接触选择或位置,返回路径电极选择,脉冲极性等)来计算模拟电刺激的影响区域的体积。该模型使用非 - 组织电导率不均匀。 这准确地表示脑组织,其具有产生非均匀和各向异性的组织培养基的高度定向导电的神经元途径。 在一个示例中,从扩散张量成像(DTI)数据获得非均匀组织电导率。 在一个示例中,电位分布的第二差异用于定义激活量(VOA)或类似的影响体积。 在另一个例子中,使用神经元或轴突模型来计算影响的体积,而不计算电势分布的第二差异。

    Brain stimulation models, systems, devices, and methods
    3.
    发明申请
    Brain stimulation models, systems, devices, and methods 有权
    脑刺激模型,系统,设备和方法

    公开(公告)号:US20060017749A1

    公开(公告)日:2006-01-26

    申请号:US10885982

    申请日:2004-07-07

    IPC分类号: G09G5/00

    摘要: This document discusses, among other things, brain stimulation models, systems, devices, and methods, such as for deep brain stimulation (DBS) or other electrical stimulation. A model computes a volume of influence region for a simulated electrical stimulation using certain stimulation parameters, such as amplitude, pulsewidth, frequency, pulse morphology, electrode contact selection or location, return path electrode selection, pulse polarity, etc. The model uses a non-uniform tissue conductivity. This accurately represents brain tissue, which has highly directionally conductive neuron pathways yielding a non-homogeneous and anisotropic tissue medium. In one example, the non-uniform tissue conductivity is obtained from diffusion tensor imaging (DTI) data. In one example, a second difference of an electric potential distribution is used to define a volume of activation (VOA) or similar volume of influence. In another example, a neuron or axon model is used to calculate the volume of influence without computing the second difference of the electric potential distribution.

    摘要翻译: 本文件还讨论了脑刺激模型,系统,设备和方法,例如深部脑刺激(DBS)或其他电刺激。 模型使用某些刺激参数(如幅度,脉冲宽度,频率,脉冲形态,电极接触选择或位置,返回路径电极选择,脉冲极性等)来计算模拟电刺激的影响区域的体积。该模型使用非 - 组织电导率不均匀。 这准确地表示脑组织,其具有产生非均匀和各向异性的组织培养基的高度定向导电的神经元途径。 在一个示例中,从扩散张量成像(DTI)数据获得非均匀组织电导率。 在一个示例中,电位分布的第二差异用于定义激活量(VOA)或类似的影响体积。 在另一个例子中,使用神经元或轴突模型来计算影响的体积,而不计算电势分布的第二差异。

    System and method to design structure for delivering electrical energy to tissue
    4.
    发明申请
    System and method to design structure for delivering electrical energy to tissue 有权
    设计将电能传递给组织的结​​构的系统和方法

    公开(公告)号:US20070083104A1

    公开(公告)日:2007-04-12

    申请号:US11606260

    申请日:2006-11-28

    IPC分类号: A61B5/05

    CPC分类号: A61N1/0534 A61N1/08

    摘要: A computer-assisted method can include defining a target volume of tissue activation to achieve a desired therapeutic effect for an identified anatomic region. At least one parameter can be computed for an electrode design as a function of the defined target volume of tissue activation. The computed at least one parameter can be stored in memory for the electrode design, which parameter can be utilized to construct an electrode.

    摘要翻译: 计算机辅助方法可以包括限定组织活化的目标体积以实现对所识别的解剖区域的期望的治疗效果。 对于电极设计可以计算至少一个参数,作为组织激活的定义的目标体积的函数。 计算的至少一个参数可以存储在用于电极设计的存储器中,该参数可以用于构建电极。

    Systems and methods for determining volume of activation for deep brain stimulation
    5.
    发明申请
    Systems and methods for determining volume of activation for deep brain stimulation 有权
    用于确定深部脑刺激活化体积的系统和方法

    公开(公告)号:US20070288064A1

    公开(公告)日:2007-12-13

    申请号:US11715829

    申请日:2007-03-08

    IPC分类号: A61N1/05

    摘要: This document discusses, among other things, systems and methods for determining volume of activation for deep brain stimulation (“DBS”) using a finite element model (FEM) circuit to determine a FEM of an implanted electrode and a tissue medium in which the electrode is implanted, a Fourier FEM solver circuit to calculate a potential distribution in the tissue medium using information from the FEM circuit and a capacitive component of at least one of the implanted electrode and the tissue medium, and a volume of activation (VOA) circuit to predict a VOA using the potential distribution and a neuron model.

    摘要翻译: 本文件尤其讨论了使用有限元模型(FEM)电路确定深部脑刺激(“DBS”)激活体积的系统和方法,以确定植入电极和组织介质的FEM,其中电极 植入的傅里叶FEM解算器电路,使用来自FEM电路的信息和至少一个注入电极和组织介质的电容分量以及一定量的激活(VOA)电路来计算组织介质中的电位分布, 使用潜在分布和神经元模型预测VOA。

    Selective neuromodulation using energy-efficient waveforms
    6.
    发明授权
    Selective neuromodulation using energy-efficient waveforms 有权
    使用节能波形进行选择性神经调节

    公开(公告)号:US08046077B2

    公开(公告)日:2011-10-25

    申请号:US12479097

    申请日:2009-06-05

    IPC分类号: A61N1/00

    CPC分类号: A61N1/36082 A61N1/378

    摘要: Methods of selective neuromodulation in a live mammalian subject, such as a human patient. The method comprises applying an electrical signal to a target site in the nervous system, such as the brain, where the electrical signal comprises a series of pulses. The pulses includes a waveform shape that is more energy-efficient as compared to a corresponding rectangular waveform. Non-limiting examples of such energy-efficient waveforms include linear increasing, linear decreasing, exponential increasing, exponential decreasing, and Gaussian waveforms. The parameters for the energy-efficient waveform are chosen to selectively activate neural tissue on the basis of axonal diameter.

    摘要翻译: 活体哺乳动物受试者(例如人类患者)中选择性神经调节的方法。 该方法包括将电信号施加到诸如脑的神经系统中的目标部位,其中电信号包括一系列脉冲。 脉冲包括与对应的矩形波形相比更节能的波形形状。 这种能量效率波形的非限制性实例包括线性增加,线性递减,指数增加,指数减小和高斯波形。 选择能量效率波形的参数以基于轴突直径选择性地激活神经组织。