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    • 1. 发明授权
    • Micropressors, devices and methods for use in analyte monitoring systems
    • 用于分析物监测系统的微压机,装置和方法
    • US07711493B2
    • 2010-05-04
    • US11270856
    • 2005-11-09
    • Miroslaw BartkowiakWesley S. HarperEray KulcuMatthew J. LeshoJanet A. Tamada
    • Miroslaw BartkowiakWesley S. HarperEray KulcuMatthew J. LeshoJanet A. Tamada
    • G06F19/00G01N33/66
    • A61B5/681A61B5/0531A61B5/14532A61B5/7242G01N27/3271Y10T436/144444
    • The present invention comprises one or more microprocessors programmed to execute methods for improving the performance of an analyte monitoring device including prediction of glucose levels in a subject by utilizing a predicted slower-time constant (1/k2). In another aspect of the invention, pre-exponential terms (1/c2) can be used to provide a correction for signal decay (e.g., a Gain Factor). In other aspects, the present invention relates to one or more microprocessors comprising programming to control execution of (i) methods for conditional screening of data points to reduce skipped measurements, (ii) methods for qualifying interpolated/extrapolated analyte measurement values, (iii) various integration methods to obtain maximum integrals of analyte-related signals, as well as analyte monitoring devices comprising such microprocessors. Further, the present invention relates to algorithms for improved optimization of parameters for use in prediction models that require optimization of adjustable parameters.
    • 本发明包括一个或多个微处理器,其被编程为执行用于通过利用预测的较慢时间常数(1 / k2)来改善受试者的葡萄糖水平的预测来提高分析物监测装置的性能的方法。 在本发明的另一方面,预指数项(1 / c2)可以用于提供信号衰减的校正(例如增益因子)。 在其他方面,本发明涉及一种或多种微处理器,其包括编程以控制(i)用于条件筛选数据点以减少跳过的测量的方法的执行,(ii)用于限定插值/外推分析物测量值的方法,(iii) 获得分析物相关信号的最大积分的各种集成方法,以及包括这种微处理器的分析物监测装置。 此外,本发明涉及用于改进需要优化可调参数的预测模型中使用的参数优化的算法。
    • 2. 发明授权
    • Microprocessors, devices and methods for use in analyte monitoring systems
    • 用于分析物监测系统的微处理器,设备和方法
    • US07519478B2
    • 2009-04-14
    • US11270063
    • 2005-11-09
    • Miroslaw BartkowiakWesley S. HarperEray KulcuMatthew J. LeshoJanet A. Tamada
    • Miroslaw BartkowiakWesley S. HarperEray KulcuMatthew J. LeshoJanet A. Tamada
    • G06F19/00
    • A61B5/681A61B5/0531A61B5/14532A61B5/7242G01N27/3271Y10T436/144444
    • The present invention comprises one or more microprocessors programmed to execute methods for improving the performance of an analyte monitoring device including prediction of glucose levels in a subject by utilizing a predicted slower-time constant (1/k2). In another aspect of the invention, pre-exponential terms (1/c2) can be used to provide a correction for signal decay (e.g., a Gain Factor). In other aspects, the present invention relates to one or more microprocessors comprising programming to control execution of (i) methods for conditional screening of data points to reduce skipped measurements, (ii) methods for qualifying interpolated/extrapolated analyte measurement values, (iii) various integration methods to obtain maximum integrals of analyte-related signals, as well as analyte monitoring devices comprising such microprocessors. Further, the present invention relates to algorithms for improved optimization of parameters for use in prediction models that require optimization of adjustable parameters.
    • 本发明包括一个或多个微处理器,其被编程为执行用于通过利用预测的较慢时间常数(1 / k2)来改善受试者的葡萄糖水平的预测来提高分析物监测装置的性能的方法。 在本发明的另一方面,预指数项(1 / c2)可以用于提供信号衰减的校正(例如增益因子)。 在其他方面,本发明涉及一种或多种微处理器,其包括编程以控制(i)用于条件筛选数据点以减少跳过的测量的方法的执行,(ii)用于限定插值/外推分析物测量值的方法,(iii) 获得分析物相关信号的最大积分的各种集成方法,以及包括这种微处理器的分析物监测装置。 此外,本发明涉及用于改进需要优化可调参数的预测模型中使用的参数优化的算法。
    • 3. 发明授权
    • Micropressors, devices and methods for use in analyte monitoring systems
    • 用于分析物监测系统的微压机,装置和方法
    • US07523004B2
    • 2009-04-21
    • US11270857
    • 2005-11-09
    • Miroslaw BartkowiakWesley S. HarperEray KulcuMatthew J. LeshoJanet A. Tamada
    • Miroslaw BartkowiakWesley S. HarperEray KulcuMatthew J. LeshoJanet A. Tamada
    • G06F19/00
    • A61B5/681A61B5/0531A61B5/14532A61B5/7242G01N27/3271Y10T436/144444
    • The present invention comprises one or more microprocessors programmed to execute methods for improving the performance of an analyte monitoring device including prediction of glucose levels in a subject by utilizing a predicted slower-time constant (1/k2). In another aspect of the invention, pre-exponential terms (1/c2) can be used to provide a correction for signal decay (e.g., a Gain Factor). In other aspects, the present invention relates to one or more microprocessors comprising programming to control execution of (i) methods for conditional screening of data points to reduce skipped measurements, (ii) methods for qualifying interpolated/extrapolated analyte measurement values, (iii) various integration methods to obtain maximum integrals of analyte-related signals, as well as analyte monitoring devices comprising such microprocessors. Further, the present invention relates to algorithms for improved optimization of parameters for use in prediction models that require optimization of adjustable parameters.
    • 本发明包括一个或多个微处理器,其被编程为执行用于通过利用预测的较慢时间常数(1 / k2)来改善受试者的葡萄糖水平的预测来提高分析物监测装置的性能的方法。 在本发明的另一方面,预指数项(1 / c2)可以用于提供信号衰减的校正(例如增益因子)。 在其他方面,本发明涉及一种或多种微处理器,其包括编程以控制(i)用于条件筛选数据点以减少跳过的测量的方法的执行,(ii)用于限定插值/外推分析物测量值的方法,(iii) 获得分析物相关信号的最大积分的各种集成方法,以及包括这种微处理器的分析物监测装置。 此外,本发明涉及用于改进需要优化可调参数的预测模型中使用的参数优化的算法。