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发明授权
US07011630B2 Methods for computing rolling analyte measurement values, microprocessors comprising programming to control performance of the methods, and analyte monitoring devices employing the methods 有权
用于计算滚动分析物测量值的方法，包括编程以控制方法性能的微处理器以及采用该方法的分析物监测装置

Methods for computing rolling analyte measurement values, microprocessors comprising programming to control performance of the methods, and analyte monitoring devices employing the methods
摘要：
The present invention relates to methods to increase the number of analyte-related signals used to provide analyte measurement values, e.g., when two or more analyte-related signals are used to obtain a single analyte measurement value a “rolling” value based on the two or more signals can be employed. In another aspect, interpolation and/or extrapolation methods are used to estimate unusable, missing or error-associated analyte-related signals. Further, interpolation and extrapolation of values are employed in another aspect of the invention that reduces the incident of failed calibrations. Further, the invention relates to methods, which employ gradients and/or predictive algorithms, to provide an alert related to analyte values exceeding predetermined thresholds. The invention includes the above-described methods, one or more microprocessors programmed to execute the methods, one or more microprocessors programmed to execute the methods and control at least one sensing and/or sampling device, and monitoring systems employing the methods described herein.
摘要（中）：

本发明涉及增加用于提供分析物测量值的分析物相关信号的数量的方法，例如当使用两个或更多个与分析物相关的信号来获得单个分析物测量值时，基于两个分析物相关信号的“滚动”值 或更多的信号。 在另一方面，内插和/或外插方法用于估计不可用，缺失或与误差相关的分析物相关信号。 此外，在本发明的另一方面，采用了内插和外推值来减少校准失败的事件。 此外，本发明涉及采用梯度和/或预测算法来提供与超过预定阈值的分析物值相关的警报的方法。 本发明包括上述方法，被编程为执行方法的一个或多个微处理器，被编程为执行方法和控制至少一个感测和/或采样装置的一个或多个微处理器，以及采用本文描述的方法的监视系统。

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