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    • 32. 发明申请
    • A HUMAN TISSUE SURROGATE
    • 人体组织SURROGATE
    • WO0158344A9
    • 2002-10-31
    • PCT/US0102171
    • 2001-01-23
    • INSTRUMENTATION METRICS INC
    • HAZEN KEVIN HWELCH JAMES MATTHEWMALIN STEPHEN FRUCHTI TIMOTHY LLORENZ ALEXANDER DTROY TAMARA LTHENNADIL SURESHBLANK THOMAS B
    • G01N21/35A61B5/00A61B5/107A61B5/145A61B5/1455A61B5/1495G01N21/27G01N21/47G01N21/49G06F19/00
    • G01N21/274A61B5/0075A61B5/1075A61B5/14532A61B5/1455A61B5/1495A61B5/7264A61B2560/0223A61B2560/0233G01N21/359G01N21/4785G01N21/49Y10T436/10
    • The invention provides a class of samples that model the human body. This family of samples is based upon emulsions of oil in water with lecithin acting as the emulsifier. These solutions that have varying particle sizes may be spiked with basis set components (albumin, urea and glucose) to simulate skin tissues further. The family of samples is such that other organic compounds such as collagen, elastin, globulin and bilirubin may be added, as can salts such as Na , K and Cl . Layers of varying thickness with known index of refraction and particle size distributions may be generated using simple crosslinking reagents, such as collagen (gelatin). The resulting samples are flexible in each analyte's concentration and match the skin layers of the body in terms of the samples reduced scattering and absorption coefficients, mu 's and mu a. This family of samples is provided for use in the medical field where lasers and spectroscopy based analyzers are used in treatment of the body. In particular, knowledge may be gained on net analyte signal, photon depth of penetration, photon radial diffusion, photon interaction between tissue layers, photon density (all as a function of frequency) and on instrument parameter specifications such as resolution and required dynamic range (A/D bits required). In particular, applications to delineate said parameters have been developed for the application of noninvasive glucose determination in the near-IR region from 700 to 2500 nm with an emphasis on the region 1000 to 2500 nm (10,000 to 4,000 cm ).
    • 本发明提供了一类对人体进行建模的样品。 该样品系基于水中的油与卵磷脂作为乳化剂的乳液。 具有不同粒径的这些溶液可以加入基础组分(白蛋白,尿素和葡萄糖)以进一步模拟皮肤组织。 样品家族可以加入其它有机化合物如胶原蛋白,弹性蛋白,球蛋白和胆红素,也可以加入诸如Na +,K +和Cl - 的盐。 可以使用简单的交联试剂如胶原(明胶)产生具有已知折射率和粒度分布的不同厚度的层。 所得样品在每种分析物的浓度上是柔性的,并且根据样品减少散射和吸收系数μ和μa来匹配身体的皮肤层。 该样品系列用于医疗领域,其中使用激光和基于光谱的分析仪来治疗身体。 特别地,可以获得关于净分析物信号,光子穿透深度,光子径向扩散,组织层之间的光子相互作用,光子密度(全部作为频率的函数)以及仪器参数规格(例如分辨率和所需动态范围) 需要A / D位)。 特别地,已经开发了描述所述参数的应用,用于在700至2500nm的近红外区域中应用无创葡萄糖测定,重点在1000至2500nm(10,000至4000cm -1)的区域。
    • 33. 发明申请
    • A MULTI-TIER METHOD OF DEVELOPING LOCALIZED CALIBRATION MODELS FOR NON-INVASIVE BLOOD ANALYTE PREDICTION
    • 开发用于非入侵血液分析预测的本地化校准模型的多方法
    • WO2002080767A1
    • 2002-10-17
    • PCT/US2002/009114
    • 2002-03-22
    • INSTRUMENTATION METRICS, INC.
    • BLANK, Thomas, B.MONFRE, Stephen, L.RUCHTI, Timothy, L.THENNADIL, Suresh.
    • A61B5/00
    • G01N21/274A61B5/1075A61B5/14532A61B5/1455A61B5/1495A61B5/7264A61B5/7267A61B2560/0223A61B2560/0233G01N21/359G01N21/4785G01N21/49Y10S128/92
    • A method of multi-tier classification and calibration in noninvasive blood analyte prediction minimizes prediction error by limiting co-varying spectral interferents. Tissue samples are categorized based on subject demographic and instrumental skin measurements, including in vivo near-IR spectral measurements. A multi-tier intelligent pattern classification sequence organizes spectral data into clusters having a high degree of internal consistency in tissue properties. In each tier, categories are successively refined using subject demographics, spectral measurement information and other device measurements suitable for developing tissue classifications. The multi-tier classification approach to calibration utilizes multivariate statistical arguments and multi-tiered classification using spectral features. Variables used in the multi-tiered classification can be skin surface hydration, skin surface temperature, tissue volume hydration, and an assessment of relative optical thickness of the dermis by the near-IR fat band. All tissue parameters are evaluated using the NIR spectrum signal along key wavelength segments.
    • 非侵入性血液分析物预测中的多层分类和校准方法通过限制共同变化的光谱干扰来最小化预测误差。 组织样品根据受试者的人口统计学和仪器皮肤测量进行分类,包括体内近红外光谱测量。 多层智能图案分类序列将光谱数据组织成具有组织性质内部高度一致性的簇。 在每个层次中,使用主题人口统计学,光谱测量信息和适合于开发组织分类的其它装置测量法来连续地改进类别。 校准的多层分类方法利用多变量统计学参数和使用光谱特征的多层次分类。 用于多层次分类的变量可以是皮肤表面水合,皮肤表面温度,组织体积水合,以及近红外脂肪带对真皮的相对光学厚度的评估。 使用沿关键波长段的NIR光谱信号评估所有组织参数。
    • 35. 发明申请
    • FIBER OPTIC PROBE PLACEMENT GUIDE
    • 光纤探头放置指南
    • WO0182794A3
    • 2002-03-28
    • PCT/US0112473
    • 2001-04-17
    • INSTRUMENTATION METRICS INC
    • BLANK THOMAS BACOSTA GEORGEMATTU MUTUAMONFRE STEPHEN L
    • A61B5/01A61B5/00A61B5/0205A61B5/145A61B5/1455A61K9/00
    • A61B5/0059A61B5/061A61B5/14532A61B5/1455A61B5/6824A61B2562/12A61B2562/146
    • A fiber optic probe placement guide minimizes sampling errors during optical sampling of a tissue measurement site by allowing repeatable placement of the fiber optic probe (33) at a targeted tissue measurement site. A mount (11), contoured to conform to the shape of the tissue measurement site, typically the arm of a human subject, contains an aperture (14) for receiving a fiber optic probe. A temperature probe (15) on the contact surface of the guide allows for monitoring of surface temperature within the vicinity of the tissue measurement site. Crosshair slots (22) in the mount align with corresponding crosshairs at the tissue measurement site. The fiber optic probe placement guide is affixed to the tissue measurement site by means of adhesive tape (38) or fastenable straps. Guideposts (21) on the external surface of the mount are received by corresponding receptacles (32) on a subject interface bearing the fiber optic probe to facilitate alignment of the fiber optic probe (33) with the aperture (14).
    • 光纤探针放置导向器通过允许将光纤探针(33)重复放置在目标组织测量位置处来最小化组织测量位置的光学采样期间的采样误差。 轮廓为符合组织测量部位的形状(通常是人体受试者的手臂)的支架(11)包含用于接收光纤探针的孔(14)。 引导件的接触表面上的温度探针(15)允许监测组织测量部位附近的表面温度。 安装座上的十字准线槽(22)与组织测量部位的相应十字准线对齐。 光纤探针放置引导件通过胶带(38)或紧固带固定到组织测量部位。 安装座的外表面上的导轨(21)由承载光纤探针的对象接口上的相应插座(32)容纳,以便于光纤探针(33)与孔径(14)对准。
    • 36. 发明申请
    • COMBINATIVE MULTIVARIATE CALIBRATION THAT ENHANCES PREDICTION ABILITY THROUGH REMOVAL OF OVER-MODELED REGIONS
    • 通过移除超模型区域增强预测能力的综合多重校准
    • WO0210726A2
    • 2002-02-07
    • PCT/US0121703
    • 2001-07-09
    • INSTRUMENTATION METRICS INC
    • HAZEN KEVIN HTHENNADIL SURESHRUCHTI TIMOTHY L
    • G01N21/35
    • G01N21/359
    • A novel multivariate model for analysis of absorbance spectra allows for each wavelength or spectral region to be modeled with just enough factors to fully model the analytical signal witout the incorporation of noise by using excess factors. Each wavelength or spectral region is modeled utilizing its own number of factors independently of other wavelengths or spectral regions. An iterative combinative PCR algorithm allows a different number of factors to be applied to different wavelengths. In an exemplary embodiment, a three-factor model is applied over a given spectral region. The residual of the three-factor model is calculated and used as the input for an additional five-factor model. Prior to the additional five factors being applied, some of the wavelengths are removed. This leads to a three-factor model over the first region and an eight-factor model over the second region. This analysis or residuals can be repeated such that a one to n factor model could be applied to any given wavelength, or rather any number of factors may be employed to model any given frequency or spectral region. A method of predicting concentration of a target analyte from sample spectra applies a calibration developed using the inventive PCR algorithm to a matrix of sample spectral to generate a vector of predicted concentrations for the target analyte.
    • 用于分析吸收光谱的新型多变量模型允许仅利用足够的因子对每个波长或光谱区域进行建模,以便通过使用过量因子来完全建模分析信号,同时结合噪声。 每个波长或光谱区域都利用独立于其他波长或光谱区域的其自身数量的因子进行建模。 迭代组合PCR算法允许将不同数量的因子应用于不同波长。 在示例性实施例中,三因素模型被应用于给定的光谱区域。 计算三因素模型的残差,并将其用作额外的五因素模型的输入。 在应用额外的五个因素之前,一些波长被去除。 这导致了第一个区域的三因素模型和第二个区域的八因素模型。 可以重复该分析或残差,使得可以对一个或多个因子模型应用于任何给定波长,或者可以采用任何数量的因素来建模任何给定的频率或光谱区域。 从样品光谱预测目标分析物的浓度的方法将使用本发明的PCR算法开发的校准应用于样品光谱的矩阵,以产生靶分析物的预测浓度的载体。