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1. 发明申请

US20070112287A1 SYSTEM AND METHOD FOR DETECTING DEVIATIONS IN NOMINAL GAIT PATTERNS 审中-公开
标题翻译：用于检测标注图案偏差的系统和方法
公开(公告)号：US20070112287A1
公开(公告)日：2007-05-17
申请号：US11531530
申请日：2006-09-13
申请人： Craig Fancourt , John Aceti
发明人： Craig Fancourt , John Aceti
IPC分类号： A61B5/103 , G08B23/00
CPC分类号： G08B21/04 , A61B5/1038 , A61B5/1117 , A61B5/6815 , A61B5/6838 , A61B2562/0219 , A61B2562/164
摘要： A monitoring device having a system and method for detecting deviations in nominal gait patterns is provided. The monitoring device is configured for at least partial insertion within an auditory canal of an individual. The system employed in the monitoring device is comprised of at least an accelerometer configured for measuring acceleration in three orthogonal directions aligned with the principal directions of the body. Gait features values are extracted from the measurements and continuously accumulated, thereby establishing the nominal gait pattern of the individual. Subsequent extractions of current gait features are compared to accumulated gait feature statistics to determine if a deviation in the established nominal gait pattern has been detected.
摘要翻译：提供了具有用于检测标称步态模式中的偏差的系统和方法的监视装置。监测装置被配置为至少部分地插入个体的耳道内。在监视装置中采用的系统包括至少一个加速度计，该加速度计被配置用于测量与主体的主要方向对准的三个正交方向上的加速度。从测量中提取步态特征值，并持续累积，从而建立个体的标称步态模式。将当前步态特征的后续提取与累积的步态特征统计进行比较，以确定是否检测到已建立的标准步态模式中的偏差。

2. 发明授权

US08861811B2 System and method for segmenting M-mode ultrasound images showing blood vessel wall motion over time 有权
标题翻译：用于分割显示血管壁运动随时间变化的M型超声图像的系统和方法
公开(公告)号：US08861811B2
公开(公告)日：2014-10-14
申请号：US12857193
申请日：2010-08-16
申请人： Craig Fancourt , Karim Azer , Matthew Walker, III
发明人： Craig Fancourt , Karim Azer , Matthew Walker, III
IPC分类号： G06K9/00 , G06T7/00 , G06T7/20
CPC分类号： G06T7/2033 , G06K2209/05 , G06T7/246 , G06T2207/10132 , G06T2207/30104
摘要： The present invention uses a microprocessor, a memory storage device, and a segmentation program comprising a plurality of program modules containing computer-readable instructions that cause the microprocessor to measure the spatial offsets between all pairs of scans in an m-mode image of a blood vessel with a cross-correlation function, convert the spatial offsets to a relative wall motion waveform through a global optimization procedure, and then translate the relative wall motion waveform to an absolute wall motion waveform by interpolation over the m-mode image. The resulting detailed absolute wall distension waveform may be beneficially rendered (e.g., superimposed) on the m-mode ultrasound image for display (e.g., on a printer and/or video monitor) and diagnostic purposes, and has enormous potential for enhancing existing techniques for identifying and studying vascular biomarkers, such as vessel wall strain and compliance.
摘要翻译：本发明使用微处理器，存储器存储装置和包括多个程序模块的分割程序，所述程序模块包含计算机可读指令，所述计算机可读指令使微处理器在血液的m模式图像中测量所有扫描对之间的空间偏移具有互相关函数的容器通过全局优化程序将空间偏移转换为相对壁运动波形，然后通过在m模式图像上的插值将相对壁运动波形转换为绝对壁运动波形。所产生的详细的绝对壁膨胀波形可有利地（例如，叠加）在m模式超声波图像上进行显示（例如，在打印机和/或视频监视器上）和诊断目的，并且具有巨大的潜力来增强现有技术识别和研究血管生物标志物，如血管壁应变和依从性。

3. 发明申请

US20070098219A1 Method and system for filtering, registering, and matching 2.5D normal maps 失效
标题翻译：用于过滤，注册和匹配2.5D法线贴图的方法和系统
公开(公告)号：US20070098219A1
公开(公告)日：2007-05-03
申请号：US11451671
申请日：2006-06-13
申请人： Clay Spence , Craig Fancourt
发明人： Clay Spence , Craig Fancourt
IPC分类号： G06K9/00 , F42B15/01
CPC分类号： G06K9/00214 , G06T7/33 , G06T2200/04
摘要： An iterative approach to vector median filtering wherein the resulting median vector need not be a member of the original data set. The iterative vector median filtering allows for fast convergence for complex computations and an output which is approximate to the mean, particularly for small data sets. In addition, a method and system for registering and matching 2.5 normal maps is provided. Registration of two maps is performed by optimally aligning their normals through 2-D warping in the image plane in conjunction with a 3-D rotation of the normals. Once aligned, the average dot-product serves as a matching metric for automatic target recognition (ATR).
摘要翻译：矢量中值滤波的迭代方法，其中所得到的中值向量不需要是原始数据集的成员。迭代向量中值滤波允许复杂计算的快速收敛和近似于平均值的输出，特别是对于小数据集。另外，提供了一种用于注册和匹配2.5法线贴图的方法和系统。通过将图像平面中的二维翘曲与法线的3-D旋转结合来最佳地对准其法线来执行两个地图的注册。一旦对齐，平均点积用作自动目标识别（ATR）的匹配度量。

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