公开(公告)号：US20180168513A1

公开(公告)日：2018-06-21

申请号：US15894573

申请日：2018-02-12

Applicant: DexCom, Inc.

Inventor： Paul V. Goode ,  James H. Brauker ,  Arpurv U. Kamath ,  James Patrick Thrower ,  Victoria Carr-Brendel

IPC: A61B5/00 ,  A61B5/1473 ,  A61B5/1486 ,  A61B5/145

CPC classification number: A61B5/7203 ,  A61B5/0004 ,  A61B5/0031 ,  A61B5/14532 ,  A61B5/14539 ,  A61B5/14542 ,  A61B5/1473 ,  A61B5/14865 ,  A61B5/1495 ,  A61B5/7225 ,  A61B5/7257 ,  A61B5/726 ,  A61B5/7278 ,  A61B5/742 ,  A61B5/7475 ,  A61B2560/0223 ,  A61B2562/0247 ,  A61B2562/0271 ,  A61B2562/08

Abstract: Systems and methods for minimizing or eliminating transient non-glucose related signal noise due to non-glucose rate limiting phenomenon such as ischemia, pH changes, temperatures changes, and the like. The system monitors a data stream from a glucose sensor and detects signal artifacts that have higher amplitude than electronic or diffusion-related system noise. The system replaces some or the entire data stream continually or intermittently including signal estimation methods that particularly address transient signal artifacts. The system is also capable of detecting the severity of the signal artifacts and selectively applying one or more signal estimation algorithm factors responsive to the severity of the signal artifacts, which includes selectively applying distinct sets of parameters to a signal estimation algorithm or selectively applying distinct signal estimation algorithms.

公开(公告)号：US20140180049A1

公开(公告)日：2014-06-26

申请号：US14189940

申请日：2014-02-25

Applicant: DexCom, Inc.

Inventor： James H. Brauker ,  Victoria E. Carr-Brendel ,  Paul V. Goode ,  Apurv Ullas Kamath ,  James Patrick Thrower ,  Ben Xavier

IPC: A61B5/145 ,  A61B5/00

CPC classification number: A61B5/14532 ,  A61B5/145 ,  A61B5/14503 ,  A61B5/1451 ,  A61B5/1468 ,  A61B5/1473 ,  A61B5/1486 ,  A61B5/14865 ,  A61B5/1495 ,  A61B5/7257 ,  A61B5/726 ,  A61B5/7264 ,  A61B5/7275 ,  A61B5/742 ,  A61B5/7455 ,  A61B5/746 ,  A61B5/7475 ,  A61M5/1723 ,  G06F19/00 ,  Y02A90/22 ,  Y02A90/26

Abstract: Systems and methods for dynamically and intelligently estimating analyte data from a continuous analyte sensor, including receiving a data stream, selecting one of a plurality of algorithms, and employing the selected algorithm to estimate analyte values. Additional data processing includes evaluating the selected estimative algorithms, analyzing a variation of the estimated analyte values based on statistical, clinical, or physiological parameters, comparing the estimated analyte values with corresponding measure analyte values, and providing output to a user. Estimation can be used to compensate for time lag, match sensor data with corresponding reference data, warn of upcoming clinical risk, replace erroneous sensor data signals, and provide more timely analyte information encourage proactive behavior and preempt clinical risk.

Abstract translation: 用于动态和智能地估计来自连续分析物传感器的分析物数据的系统和方法，包括接收数据流，选择多种算法中的一种，以及采用所选择的算法来估计分析物值。 附加数据处理包括评估所选择的估计算法，基于统计学，临床或生理参数分析估计分析物值的变化，将估计的分析物值与相应的测量分析物值进行比较，以及向用户提供输出。 估计可用于补偿时间滞后，匹配传感器数据与相应的参考数据，警告即将到来的临床风险，替换错误的传感器数据信号，并提供更及时的分析物信息，鼓励主动行为和抢占临床风险。