Method and apparatus for minimizing spectral effects attributable to tissue state variations during NIR-based non-invasive blood analyte determination
    61.
    发明授权
    Method and apparatus for minimizing spectral effects attributable to tissue state variations during NIR-based non-invasive blood analyte determination 有权
    用于最小化归因于基于NIR的非侵入性血液分析物测定期间的组织状态变化的光谱效应的方法和装置

    公开(公告)号:US06640117B2

    公开(公告)日:2003-10-28

    申请号:US09955531

    申请日:2001-09-17

    IPC分类号: A61B500

    摘要: A method and apparatus for minimizing confounding effects in a noninvasive in-vivo spectral measurement caused by fluctuations in tissue state monitors a selected tissue state parameter spectroscopically and maintains the selected parameter within a target range, at which spectral effects attributable to the changes in the selected parameter are minimized. The invention includes both active and passive control. A preferred embodiment of the invention provides a method and apparatus for minimizing the confounding effects in near IR spectral measurements attributable to shifts in skin temperature at a tissue measurement site. Spectroscopic monitoring of skin temperature at the measurement site provides near-instantaneous temperature readings by eliminating thermal time constants. A thermistor positioned at the measurement site provides active control. The spectrometer and the temperature control device are incorporated into a single instrument for noninvasive measurement of blood glucose concentration.

    摘要翻译: 用于最小化由组织状态的波动引起的非侵入性体内光谱测量中的混杂效应的方法和装置通过光谱方式监测所选择的组织状态参数,并将所选择的参数保持在目标范围内,在该范围内,归因于所选择的变化的光谱效应 参数最小化。 本发明包括主动和被动控制。 本发明的一个优选实施例提供了一种方法和装置,用于最小化归因于组织测量部位的皮肤温度变化的近红外光谱测量中的混杂效应。 光谱监测测量点的皮肤温度通过消除热时间常数提供近乎瞬时的温度读数。 位于测量位置的热敏电阻提供主动控制。 光谱仪和温度控制装置被并入单个仪器中用于非侵入性测量血糖浓度。

    Multi-tier method of developing localized calibration models for non-invasive blood analyte prediction
    62.
    发明授权
    Multi-tier method of developing localized calibration models for non-invasive blood analyte prediction 有权
    开发用于非侵入性血液分析物预测的局部校准模型的多层方法

    公开(公告)号:US06512937B2

    公开(公告)日:2003-01-28

    申请号:US09825687

    申请日:2001-04-03

    IPC分类号: A61B500

    摘要: 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.

    摘要翻译: 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,使用主体人口统计学,光谱测量信息和适合于开发组织分类的其他设备测量来连续地改进类别。多层分类校准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。

    Use of targeted glycemic profiles in the calibration of a noninvasive blood glucose monitor

    公开(公告)号:US06487429B2

    公开(公告)日:2002-11-26

    申请号:US09766872

    申请日:2001-01-18

    IPC分类号: A61B500

    CPC分类号: A61B5/14532

    摘要: A method of calibrating a non-invasive blood glucose measurement instrument to a diabetic test subject employs targeted glycemic profiles in anti-correlated pairs. During calibration, reference blood glucose determinations are made using conventional invasive sampling methods. Concurrently, noninvasive spectral measurements are made using the noninvasive glucose monitor. Through controlled oral ingestion by the subject of calculated amounts of carbohydrate, the subject's blood glucose level is manipulated to mimic the patterns of the targeted profiles. During a first visit, a first profile of a pair is induced; during a second visit the inverse of the first profile is induced. The targeted profiles produce reference blood glucose values in which correlation to sampling factors is reduced or eliminated, thus the resulting calibration is correlated to glucose, and not to other analytes, sampling factors or environmental factors. A formula is provided for calculating the required amount of carbohydrate to ingest to induce a targeted glycemic profile in a test subject.