公开(公告)号：US06983176B2

公开(公告)日：2006-01-03

申请号：US09832608

申请日：2001-04-11

申请人： Craig Gardner ,  Michael J. Haass ,  Robert K. Rowe ,  Howland Jones ,  Steven T. Strohl ,  Matthew J. Novak ,  Russell E. Abbink ,  David Nuñez ,  William Gruner ,  Robert D. Johnson

发明人： Craig Gardner ,  Michael J. Haass ,  Robert K. Rowe ,  Howland Jones ,  Steven T. Strohl ,  Matthew J. Novak ,  Russell E. Abbink ,  David Nuñez ,  William Gruner ,  Robert D. Johnson

IPC分类号： A61B5/00

CPC分类号： G01N21/278 ,  A61B5/0075

摘要： Systems and methods for establishing and/or maintaining the prediction capability over time of a multivariate calibration model designed for quantitative optical spectroscopic measurement of attributes or analytes in bodily tissues, bodily fluids or other biological samples, which are particularly useful when the spectral absorbance of the attribute or analyte is small relative to the background. The present invention provides an optically similar reference sample to capture the characteristics of instrument and environmental variation and to reduce the effect of such variation on the measurement capability of the model. The optically similar reference is preferably stable over time and is designed such that its optical properties are sufficiently matched to the sample of interest that instrument and environmental variations are captured in the same manner in both the test sample of interest and the optically similar reference sample. The optically similar reference sample may include one or more physical components which are spectroscopically measured in a manner which closely mimics the spectroscopic measurement of the test sample of interest. Spectral similarity may also be achieved by using alternative components with spectral characteristics similar to the components contained in the test sample of interest.

公开(公告)号：US20100160747A1

公开(公告)日：2010-06-24

申请号：US12636771

申请日：2009-12-13

申请人： Mark Ries Robinson ,  Andrea Magee ,  Michael J. Haass ,  Russell E. Abbink ,  William Radigan ,  V. Gerald Grafe

发明人： Mark Ries Robinson ,  Andrea Magee ,  Michael J. Haass ,  Russell E. Abbink ,  William Radigan ,  V. Gerald Grafe

IPC分类号： A61B5/1468 ,  A61B5/00

CPC分类号： A61B5/061 ,  A61B5/0059 ,  A61B5/14532 ,  A61B5/442 ,  A61B5/444

摘要： The present invention relates to measurements of material properties by determination of the response of a sample to incident radiation, and more specifically to the measurement of analytes such as glucose or alcohol in human tissue. The invention is particularly useful in connection with noncontact optical sampling of skin. Some example embodiments of the invention provide for selection of preferred sampling locations responsive to optically-determined characteristics of the tissue. Some example embodiments of the invention provide for precise and repeatable alignment of the tissue based on optically-determined characteristics of the tissue.

摘要翻译： 本发明涉及通过测定样品对入射辐射的响应，更具体地涉及人体组织中分析物如葡萄糖或酒精的测量来测量材料性质。 本发明特别适用于皮肤的非接触光学取样。 本发明的一些示例性实施例提供了响应于光学确定的组织特征的优选采样位置的选择。 本发明的一些示例性实施例提供了基于光学确定的组织特征的组织的精确和可重复的对准。

公开(公告)号：US06441388B1

公开(公告)日：2002-08-27

申请号：US09563865

申请日：2000-05-03

申请人： Edward V. Thomas ,  Robert K. Rowe ,  Michael J. Haass

发明人： Edward V. Thomas ,  Robert K. Rowe ,  Michael J. Haass

IPC分类号： G01N1506

CPC分类号： A61B5/1495 ,  A61B5/14532 ,  A61B5/1455 ,  G01J3/28 ,  G01N21/274 ,  G01N21/35 ,  G01N21/359 ,  G01N21/49

摘要： A method and apparatus for measuring a biological attribute, such as the concentration of an analyte, particularly a blood analyte in tissue such as glucose. The method utilizes spectrographic techniques in conjunction with an improved instrument-tailored calibration model. In a calibration phase, calibration model data is modified to reduce or eliminate instrument-specific attributes, resulting in a calibration data set modeling intra-instrument variation. In a prediction phase, the prediction process is tailored for each target instrument separately using a minimal number of spectral measurements from each instrument.

摘要翻译： 用于测量生物属性的方法和装置，例如分析物的浓度，特别是诸如葡萄糖的组织中的血液分析物。 该方法利用光谱技术结合改进的仪器定制校准模型。 在校准阶段，对校准模型数据进行修改，以减少或消除特定于仪器的属性，从而产生建立仪器内变化的校准数据集。 在预测阶段，使用每个仪器的最小数量的光谱测量，分别为每个目标仪器定制预测过程。