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    • 1. 发明授权
    • System and methods for calibrating physiological characteristic sensors
    • 用于校准生理特征传感器的系统和方法
    • US07783442B2
    • 2010-08-24
    • US11931866
    • 2007-10-31
    • John C. Mueller, Jr.Desmond Barry KeenanLu WangJohn J. Mastrototaro
    • John C. Mueller, Jr.Desmond Barry KeenanLu WangJohn J. Mastrototaro
    • G06F17/40G06F17/00
    • A61B5/14532A61B5/14865A61B2560/0223
    • A method of calibrating glucose monitor data includes collecting the glucose monitor data over a period of time at predetermined intervals, obtaining reference glucose values from a reference source that temporally correspond with the glucose monitor data obtained at the predetermined intervals, calculating the calibration characteristics using the reference glucose values and corresponding glucose monitor data to regress the obtained glucose monitor data, and calibrating the obtained glucose monitor data using the calibration characteristics. In additional embodiments, calculation of the calibration characteristics includes linear regression and, in particular embodiments, least squares linear regression. Alternatively, calculation of the calibration characteristics includes non-linear regression. Data integrity may be verified and the data may be filtered.
    • 一种校准葡萄糖监测数据的方法包括以预定间隔在一段时间内收集葡萄糖监测数据,从参考源获取参考葡萄糖值,该参考源在时间上与以预定间隔获得的葡萄糖监测数据相对应,使用 参考葡萄糖值和相应的葡萄糖监测数据,以回收所获得的葡萄糖监测数据,并使用校准特征校准获得的葡萄糖监测数据。 在另外的实施例中,校准特性的计算包括线性回归,并且在特定实施例中包括最小二乘线性回归。 或者,校准特性的计算包括非线性回归。 可以验证数据完整性,并且可以对数据进行过滤。
    • 2. 发明授权
    • Systems and methods for calibrating physiological characteristic sensors
    • 用于校准生理特征传感器的系统和方法
    • US08306766B2
    • 2012-11-06
    • US12827851
    • 2010-06-30
    • John C. Mueller, Jr.Desmond Barry KeenanLu WangJohn J. Mastrototaro
    • John C. Mueller, Jr.Desmond Barry KeenanLu WangJohn J. Mastrototaro
    • G01N33/66G06F17/40
    • A61B5/14532A61B5/14865A61B2560/0223
    • A method of calibrating glucose monitor data includes collecting the glucose monitor data over a period of time at predetermined intervals, obtaining reference glucose values from a reference source that temporally correspond with the glucose monitor data obtained at the predetermined intervals, calculating the calibration characteristics using the reference glucose values and corresponding glucose monitor data to regress the obtained glucose monitor data, and calibrating the obtained glucose monitor data using the calibration characteristics. In additional embodiments, calculation of the calibration characteristics includes linear regression and, in particular embodiments, least squares linear regression. Alternatively, calculation of the calibration characteristics includes non-linear regression. Data integrity may be verified and the data may be filtered.
    • 一种校准葡萄糖监测数据的方法包括以预定间隔在一段时间内收集葡萄糖监测数据,从参考源获取参考葡萄糖值,该参考源在时间上与以预定间隔获得的葡萄糖监测数据相对应,使用 参考葡萄糖值和相应的葡萄糖监测数据,以回收所获得的葡萄糖监测数据,并使用校准特征校准获得的葡萄糖监测数据。 在另外的实施例中,校准特性的计算包括线性回归,并且在特定实施例中包括最小二乘线性回归。 或者,校准特性的计算包括非线性回归。 可以验证数据完整性,并且可以对数据进行过滤。