Froth detection system and method
    1.
    发明授权
    Froth detection system and method 有权
    泡沫检测系统及方法

    公开(公告)号:US09498583B2

    公开(公告)日:2016-11-22

    申请号:US13630031

    申请日:2012-09-28

    摘要: An infusion system includes a pump, a fluid delivery line, at least one sensor, a processor, and a memory. The fluid delivery line is connected to the pump for delivering fluid. The at least one sensor is connected to the fluid delivery line for emitting and receiving signals to detect whether there is air in the fluid delivery line. The processor is in electronic communication with the pump and the at least one sensor. The memory is in electronic communication with the processor. The memory comprises programming code for execution by the processor. The programming code is configured to determine a percentage of the air within an observed volume of the fluid delivery line.

    摘要翻译: 输液系统包括泵,流体输送管线,至少一个传感器,处理器和存储器。 流体输送管线连接到泵以输送流体。 所述至少一个传感器连接到所述流体输送管线,用于发出和接收信号以检测所述流体输送管线中是否存在空气。 处理器与泵和至少一个传感器电子通信。 存储器与处理器进行电子通信。 存储器包括用于由处理器执行的编程代码。 编程代码被配置为确定流体输送管线的观察体积内的空气的百分比。

    Pattern recognition system and method for the detection of stuck fluid droplets in a fluid delivery line of an infusion system
    2.
    发明授权
    Pattern recognition system and method for the detection of stuck fluid droplets in a fluid delivery line of an infusion system 有权
    用于检测输注系统的流体输送管线中粘滞的液滴的模式识别系统和方法

    公开(公告)号:US09114217B2

    公开(公告)日:2015-08-25

    申请号:US13588049

    申请日:2012-08-17

    IPC分类号: G06F11/30 A61M5/36 A61M5/142

    摘要: An infusion system includes a pump, a fluid delivery line, a sensor, a processor, and a memory. The fluid delivery line is connected to the pump for delivering fluid. The sensor is connected to the fluid delivery line for emitting and receiving signals to detect whether there is air in the fluid delivery line. The processor is in electronic communication with the pump and the sensor. The memory is in electronic communication with the processor. The memory includes programming code for execution by the processor. The programming code is configured to analyze the signals to determine if a stuck fluid droplet is stuck within the fluid delivery line at a location of the sensor.

    摘要翻译: 输液系统包括泵,流体输送管线,传感器,处理器和存储器。 流体输送管线连接到泵以输送流体。 传感器连接到流体输送管线,用于发出和接收信号,以检测流体输送管线中是否有空气。 处理器与泵和传感器电子通信。 存储器与处理器进行电子通信。 存储器包括用于由处理器执行的编程代码。 编程代码被配置为分析信号以确定在传感器的位置处的卡住的流体液滴是否粘附在流体输送管线内。

    Multi-tier method of developing localized calibration models for non-invasive blood analyte prediction
    4.
    再颁专利
    Multi-tier method of developing localized calibration models for non-invasive blood analyte prediction 失效
    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:USRE41333E1

    公开(公告)日:2010-05-11

    申请号:US11046673

    申请日:2005-01-27

    IPC分类号: A61B5/1455

    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。

    METHOD OF SAMPLE CONTROL AND CALIBRATION ADJUSTMENT FOR USE WITH A NONINVASIVE ANALYZER
    5.
    发明申请
    METHOD OF SAMPLE CONTROL AND CALIBRATION ADJUSTMENT FOR USE WITH A NONINVASIVE ANALYZER 审中-公开
    使用无损分析仪的样品控制和校准调整方法

    公开(公告)号:US20080146899A1

    公开(公告)日:2008-06-19

    申请号:US12027934

    申请日:2008-02-07

    IPC分类号: A61B5/1455

    摘要: A method and apparatus for easing the use of an optically based noninvasive analyzer is presented. More particularly, a simplified algorithm is used that removes the daily requirement of collecting and using a noninvasive spectrum to update a calibration model. In another embodiment, a guide is used to substantially reduce variation in sample probe placement in relation to a skin tissue sampling site, resulting in the ability to maintain calibration performance with the use of a reference analyte concentration, with or without the use of a reference spectrum collected nearby in time.

    摘要翻译: 提出了一种用于缓解光学非侵入式分析仪的使用的方法和装置。 更具体地,使用简化的算法,其消除收集和使用非侵入光谱以更新校准模型的每日需求。 在另一个实施例中,引导件用于相对于皮肤组织取样部位显着减少样本探针放置的变化,从而产生使用参考分析物浓度来维持校准性能的能力,有或没有使用参考 频谱在时间附近收集。

    Method of adapting in-vitro models to aid in noninvasive glucose determination
    6.
    发明授权
    Method of adapting in-vitro models to aid in noninvasive glucose determination 失效
    适应体外模型以帮助非侵入性葡萄糖测定的方法

    公开(公告)号:US07317938B2

    公开(公告)日:2008-01-08

    申请号:US10978116

    申请日:2004-10-29

    IPC分类号: A61B5/00

    摘要: The invention relates to a noninvasive analyzer and a method of using information determined at least in part from in-vitro spectra of tissue phantoms or analyte solutions to aid in the development of a noninvasive glucose concentration analyzer and/or in the analysis of noninvasive spectra resulting in glucose concentration estimations in the body. The preferred apparatus is a spectrometer that includes a base module and a sample module that is semi-continuously in contact with a human subject and that collects spectral measurements which are used to determine a biological parameter in the sampled tissue, such as glucose concentration. Collection of in-vitro samples is, optionally, performed on a separate instrument from the production model allowing the measurement technology to be developed on a research grade instrument and used or transferred to a target product platform or production analyzer for noninvasive glucose concentration estimation.

    摘要翻译: 本发明涉及非侵入性分析仪和使用至少部分地从组织模型或分析物溶液的体外光谱确定的信息的方法,以帮助非侵入性葡萄糖浓度分析仪的开发和/或在非侵入性光谱的分析中得到 在体内的葡萄糖浓度估计。 优选的装置是一种光谱仪,其包括基本模块和与人类受试者半连续接触的样本模块,并收集用于确定采样组织中的生物学参数(如葡萄糖浓度)的光谱测量。 体外样品的收集可选地在与生产模型分开的仪器上进行,允许在研究级仪器上开发测量技术,并将其用于或转移到用于非侵入性葡萄糖浓度估计的目标产物平台或生产分析仪。

    Measurement site dependent data preprocessing method for robust calibration and prediction

    公开(公告)号:US07010336B2

    公开(公告)日:2006-03-07

    申请号:US10384023

    申请日:2003-03-07

    IPC分类号: A61B5/00

    摘要: A solution for reducing interference in noninvasive spectroscopic measurements of tissue and blood analytes is provided. By applying a basis set representing various tissue components to a collected sample measurement, measurement interferences resulting from the heterogeneity of tissue, sampling site differences, patient-to-patient variation, physiological variation, and instrumental differences are reduced. Consequently, the transformed sample measurements are more suitable for developing calibrations that are robust with respect to sample-to-sample variation, variation through time, and instrument related differences. In the calibration phase, data associated with a particular tissue sample site is corrected using a selected subset of data within the same data set. This method reduces the complexity of the data and reduces the intra-subject, inter-subject, and inter-instrument variations by removing interference specific to the respective data subset. In the measurement phase, the basis set correction is applied using a minimal number of initial samples collected from the sample site(s) where future samples will be collected.

    Noninvasive measurement of glucose through the optical properties of tissue
    9.
    发明授权
    Noninvasive measurement of glucose through the optical properties of tissue 有权
    通过组织的光学性质对葡萄糖进行无创测量

    公开(公告)号:US06990364B2

    公开(公告)日:2006-01-24

    申请号:US10297736

    申请日:2002-01-25

    IPC分类号: A61B5/00

    摘要: Methods and apparatus for noninvasive determination of blood analytes, such as glucose, through NIR spectroscopy utilize optical properties of tissue as reflected in key spectroscopic features to improve measurement accuracy and precision. Physiological conditions such as changes in water distribution among tissue compartments lead to complex alterations in the measured absorbance spectrum of skin and reflect a modification in the effective pathlength of light, leading to a biased noninvasive glucose measurement. Changes in the optical properties of tissue are detected by identifying key features responsive to physiological variations. Conditions not conducive to noninvasive measurement of glucose are detected. Noninvasive glucose measurements that are biased by physiological changes in tissue are compensated. In an alternate embodiment, glucose is measured indirectly based on natural physiological response of tissue to glucose concentration. A spectroscopic device capable of such measurements is provided.

    摘要翻译: 通过近红外光谱对血液分析物(如葡萄糖)进行无创测定的方法和设备利用关键光谱特征反映的组织光学性质来提高测量精度和精度。 生理条件如组织间隔水分配变化导致测量的皮肤吸收光谱的复杂变化,并反映了有效光线长度的变化,导致偏向的非侵入性葡萄糖测量。 通过识别响应于生理变化的关键特征来检测组织的光学性质的变化。 检测不利于葡萄糖无创测量的条件。 通过组织中的生理变化偏置的非侵入性葡萄糖测量被补偿。 在替代实施方案中,基于组织对葡萄糖浓度的天然生理反应间接测量葡萄糖。 提供能够进行这种测量的光谱装置。

    Non-invasive in vivo tissue classification using near-infrared measurements
    10.
    发明授权
    Non-invasive in vivo tissue classification using near-infrared measurements 失效
    使用近红外测量的非侵入性体内组织分类

    公开(公告)号:US06405065B1

    公开(公告)日:2002-06-11

    申请号:US09487547

    申请日:2000-01-19

    IPC分类号: A61B500

    摘要: An in vivo, non-invasive method of tissue classification using near-IR (NIR) spectral measurements. A classification model is based on NIR spectral absorbance measurements from an exemplary population. Spectral features representing variation between tissue types are identified. Analytic techniques enhance the features of interest and correct spectral interference to improve the predictive ability of the classification model. A classification routine defines classes based on variation between tissue types, such that variation within a class is small compared to variation between classes. A decision rule assigns individual samples from the exemplary population to classes. An in-vivo, non-invasive procedure applies the classification model to individual tissue samples. A preferred embodiment of the invention distinguishes transgenic mice from non-transgenic individuals based on variation in fat composition within muscle tissue.

    摘要翻译: 使用近红外(NIR)光谱测量的体内非侵入性组织分类方法。 分类模型基于来自示例性群体的近红外光谱吸收测量。 识别表示组织类型之间变化的光谱特征。 分析技术增强了感兴趣的特征和正确的光谱干扰,从而提高了分类模型的预测能力。 分类程序基于组织类型之间的变化来定义类,使得类之间的变化与类之间的变化相比较小。 决策规则将个体样本从示例性群体分配到类别。 体内非侵入性手术将分类模型应用于个体组织样本。 本发明的优选实施方案基于肌肉组织内脂肪组成的变化来区分转基因小鼠与非转基因个体。