会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 2. 发明申请
    • Microprocessors, devices, and methods for use in monitoring of physiological analytes
    • 用于监测生理分析物的微处理器,装置和方法
    • US20060127964A1
    • 2006-06-15
    • US11350193
    • 2006-02-08
    • Russell FordMatthew LeshoJanet TamadaMichael Tierney
    • Russell FordMatthew LeshoJanet TamadaMichael Tierney
    • C12Q1/54G06F19/00
    • A61B5/14532A61B5/4266A61B5/4283A61B5/4881A61B5/7267G16H40/63
    • Described herein are microprocessors, devices, and methods useful for sweat and/or temperature detection that correlate more closely with changes in amperometric or charge signals related to analyte amount or concentration. The present invention provides methods for the establishment of more accurate sweat and/or temperature thresholds and new methods of compensation, such as correcting for the effects of sweat and rapidly changing temperature on measured analyte values. The present invention reduces the number of skipped or unuseable readings provided by analyte monitoring devices during periods of sweating or changing temperatures. Further, the present invention provides methods for improving the accuracy of reported readings of analyte amount or concentration. In one aspect, the present invention provides passive collection reservoir/sensing devices used in combination with active collection reservoir/sensing devices for detection of sweat and/or temperature related parameters.
    • 本文描述的是用于汗液和/或温度检测的微处理器,装置和方法,其更接近于与分析物量或浓度相关的电流或电荷信号的变化。 本发明提供了用于建立更准确的汗液和/或温度阈值和新的补偿方法的方法,例如校正汗液和快速变化的温度对测量的分析物值的影响。 本发明在出汗或变化的温度期间减少由分析物监测装置提供的跳过或不可用读数。 此外,本发明提供了提高分析物量或浓度的报告读数精度的方法。 在一个方面,本发明提供与用于检测汗和/或温度相关参数的主动收集储存器/感测装置组合使用的被动收集储存器/感测装置。
    • 4. 发明申请
    • 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
    • US20060074564A1
    • 2006-04-06
    • US11270856
    • 2005-11-09
    • Miroslaw BartkowiakWesley HarperEray KulcuMatthew LeshoJanet Tamada
    • Miroslaw BartkowiakWesley HarperEray KulcuMatthew LeshoJanet 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改进分析物监测装置的性能的方法,包括通过利用预测的较慢时间常数(1 / k 2)来预测受试者中的葡萄糖水平, 。 在本发明的另一方面,可以使用前指数项(1 / c2)来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。