利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

146 条记录 (耗时 0.046 秒)

    Dropout Detection in Continuous Analyte Monitoring Data During Data Excursions
    61.
    发明申请
    Dropout Detection in Continuous Analyte Monitoring Data During Data Excursions 审中-公开

    公开(公告)号：US20190331658A1

    公开(公告)日：2019-10-31

    申请号：US16504986

    申请日：2019-07-08

    申请人： Abbott Diabetes Care Inc.

    发明人： Junli Ou ,  Erwin Satrya Budiman

    IPC分类号： G01N33/49 ,  G06F16/901 ,  G16H10/60 ,  G16Z99/00 ,  G06K9/00 ,  A61B5/145

    摘要： Methods, devices, and systems are provided for identifying dropouts in analyte monitoring system sensor data including segmenting sensor data into a plurality of time series wherein each time series is associated with a different instance of a repeating event, selecting a first time series to analyze for dropouts from the plurality of time series; comparing the selected first time series to a second time series among the plurality of time series, determining whether the selected first time series includes a portion that is more than a predefined threshold lower than a corresponding portion of the second time series, and displaying, on a computer system display, an indication that the selected first time series includes a dropout if the selected first time series includes a portion that is more than the predefined threshold lower than the corresponding portion of the second time series.

    Sensitivity calibration of in vivo sensors used to measure analyte concentration
    64.
    发明授权
    Sensitivity calibration of in vivo sensors used to measure analyte concentration 有权

    公开(公告)号：US10188334B2

    公开(公告)日：2019-01-29

    申请号：US15789949

    申请日：2017-10-20

    申请人： Abbott Diabetes Care Inc.

    发明人： Erwin Satrya Budiman ,  Gary Alan Hayter

    IPC分类号： A61B5/00 ,  A61B5/1495 ,  A61B5/145

    摘要： Methods, devices, systems, and computer program products are provided to improve sensitivity calibration of an in vivo analyte sensor and usability of an associated analyte monitoring system. In certain embodiments, methods are provided that improve the user experience of using an analyte monitoring system. Certain embodiments of the present disclosure include features that reduce the amount of calibration or re-calibration performed by the analyte monitoring system. More specifically methods of using a suspect calibration attempt to avoid having to recalibrate by adjusting the calibration or mitigating effects of sensor signal attenuation that caused the calibration attempt to be suspect are provided. Additional features are disclosed.

    Method and device for providing offset model based calibration for analyte sensor
    65.
    发明授权
    Method and device for providing offset model based calibration for analyte sensor 有权

    公开(公告)号：US10089446B2

    公开(公告)日：2018-10-02

    申请号：US14017195

    申请日：2013-09-03

    申请人： Abbott Diabetes Care Inc.

    发明人： Erwin Satrya Budiman

    IPC分类号： G06F19/24 ,  A61B5/1486 ,  G06F19/00 ,  A61B5/145 ,  A61B5/1495

    摘要： Methods and devices to detect analyte in body fluid are provided. Embodiments include processing sampled data from analyte sensor, determining a single, fixed, normal sensitivity value associated with the analyte sensor, estimating a windowed offset value associated with the analyte sensor for each available sampled data cluster, computing a time varying offset based on the estimated windowed offset value, and applying the time varying offset and the determined normal sensitivity value to the processed sampled data to estimate an analyte level for the sensor.

    Sensor fault detection using analyte sensor data pattern comparison
    67.
    发明授权
    Sensor fault detection using analyte sensor data pattern comparison 有权

    公开(公告)号：US10076285B2

    公开(公告)日：2018-09-18

    申请号：US14771804

    申请日：2014-03-13

    申请人： Abbott Diabetes Care Inc.

    发明人： Junli Ou ,  Erwin Satrya Budiman

    IPC分类号： A61B5/00 ,  A61B5/145 ,  A61B5/1459

    CPC分类号： A61B5/7271 ,  A61B5/14532 ,  A61B5/1459 ,  A61B5/742 ,  A61B2560/0228

    摘要： Analyte sensor faults are detected. Datasets of glucose values sensor electronics are coupled to a glucose sensor in fluid contact with interstitial fluid under a skin surface. Baseline median glucose value and glucose variability values are computed, based on the first dataset. A baseline data point is stored. Evaluation median glucose value and variability are computed, based on the second dataset of glucose values. An evaluation data point is stored. A magnitude of a vector that extends between the baseline data point and the evaluation data point is computed. A component of the magnitude of the vector that is parallel to a hypoglycemia risk contour line is computed and compared to a predefined threshold value. An indication that a sensor fault has been detected if the component is greater than a threshold is displayed.