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1. 发明授权

US08285354B2 System and methods for processing analyte sensor data 有权
公开(公告)号：US08285354B2
公开(公告)日：2012-10-09
申请号：US12730077
申请日：2010-03-23
申请人： Paul V. Goode , James Brauker , Apurv U. Kamath , Victoria E. Carr-Brendel
发明人： Paul V. Goode , James Brauker , Apurv U. Kamath , Victoria E. Carr-Brendel
IPC分类号： A61B5/05
CPC分类号： A61B5/1495 , A61B5/14532 , A61B5/14542 , A61B5/14865 , A61B2560/0223 , G06F19/00
摘要： Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.

2. 发明授权

US07959569B2 System and methods for processing analyte sensor data 有权
公开(公告)号：US07959569B2
公开(公告)日：2011-06-14
申请号：US12730144
申请日：2010-03-23
申请人： Paul V. Goode , James Brauker , Apurv U. Kamath , Victoria E. Carr-Brendel
发明人： Paul V. Goode , James Brauker , Apurv U. Kamath , Victoria E. Carr-Brendel
IPC分类号： A61B5/00
CPC分类号： A61B5/1495 , A61B5/14532 , A61B5/14542 , A61B5/14865 , A61B2560/0223 , G06F19/00
摘要： Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.

3. 发明授权

US07933639B2 System and methods for processing analyte sensor data 有权
公开(公告)号：US07933639B2
公开(公告)日：2011-04-26
申请号：US12730058
申请日：2010-03-23
申请人： Paul V. Goode , James Brauker , Apurv U. Kamath , Victoria E. Carr-Brendel
发明人： Paul V. Goode , James Brauker , Apurv U. Kamath , Victoria E. Carr-Brendel
IPC分类号： A61B5/05
CPC分类号： A61B5/1495 , A61B5/14532 , A61B5/14542 , A61B5/14865 , A61B2560/0223 , G06F19/00
摘要： Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.

4. 发明授权

US07925321B2 System and methods for processing analyte sensor data 有权
公开(公告)号：US07925321B2
公开(公告)日：2011-04-12
申请号：US12730123
申请日：2010-03-23
申请人： Paul V. Goode , James Brauker , Apurv U. Kamath , Victoria E. Carr-Brendel
发明人： Paul V. Goode , James Brauker , Apurv U. Kamath , Victoria E. Carr-Brendel
IPC分类号： A61B5/05
CPC分类号： A61B5/1495 , A61B5/14532 , A61B5/14542 , A61B5/14865 , A61B2560/0223 , G06F19/00
摘要： Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.

5. 发明授权

US08332008B2 System and methods for processing analyte sensor data 有权
公开(公告)号：US08332008B2
公开(公告)日：2012-12-11
申请号：US12730132
申请日：2010-03-23
申请人： Paul V. Goode , James Brauker , Apurv U. Kamath , Victoria E. Carr-Brendel
发明人： Paul V. Goode , James Brauker , Apurv U. Kamath , Victoria E. Carr-Brendel
IPC分类号： A61B5/05
CPC分类号： A61B5/1495 , A61B5/14532 , A61B5/14542 , A61B5/14865 , A61B2560/0223 , G06F19/00
摘要： Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.

6. 发明授权

US07986986B2 System and methods for processing analyte sensor data 有权
标题翻译：用于处理分析物传感器数据的系统和方法
公开(公告)号：US07986986B2
公开(公告)日：2011-07-26
申请号：US12730108
申请日：2010-03-23
申请人： Paul V. Goode , James Brauker , Apurv U. Kamath , Victoria E. Carr-Brendel
发明人： Paul V. Goode , James Brauker , Apurv U. Kamath , Victoria E. Carr-Brendel
IPC分类号： A61B5/05
CPC分类号： A61B5/1495 , A61B5/14532 , A61B5/14542 , A61B5/14865 , A61B2560/0223 , G06F19/00
摘要： Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.
摘要翻译：用于处理传感器分析数据的系统和方法，包括启动校准，更新校准，评估参考和传感器分析数据的临床可接受性，以及评估传感器校准的质量。在初始校准期间，在一段时间内评估分析物传感器数据，以确定传感器的稳定性。可以使用一个或多个匹配的传感器和参考分析物数据对的校准集来校准传感器。基于新收到的参考分析物数据的纳入标准，可以在评估用于最佳校准的校准集之后更新校准。基于参考和分析物数据的临床可接受性和传感器校准的质量提供故障安全机制。算法提供了来自分析物传感器的估计血液分析物数据的优化前瞻性和回顾性分析。

7. 发明授权

US07955261B2 System and methods for processing analyte sensor data 有权
公开(公告)号：US07955261B2
公开(公告)日：2011-06-07
申请号：US12730152
申请日：2010-03-23
申请人： Paul V. Goode , James Brauker , Apurv U. Kamath , Victoria E. Carr-Brendel
发明人： Paul V. Goode , James Brauker , Apurv U. Kamath , Victoria E. Carr-Brendel
IPC分类号： A61B5/00
CPC分类号： A61B5/1495 , A61B5/14532 , A61B5/14542 , A61B5/14865 , A61B2560/0223 , G06F19/00
摘要： Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.

8. 发明申请

US20090036758A1 SIGNAL PROCESSING FOR CONTINUOUS ANALYTE SENSOR 有权
公开(公告)号：US20090036758A1
公开(公告)日：2009-02-05
申请号：US12252967
申请日：2008-10-16
申请人： James H. Brauker , Victoria E. Carr-Brendel , Paul V. Goode , Apurv U. Kamath , James P. Thrower , Ben Xavier
发明人： James H. Brauker , Victoria E. Carr-Brendel , Paul V. Goode , Apurv U. Kamath , James P. Thrower , Ben Xavier
IPC分类号： A61B5/145
CPC分类号： 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
摘要： 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.

9. 发明授权

US09149219B2 Systems and methods for replacing signal artifacts in a glucose sensor data stream 有权
标题翻译：用于替换葡萄糖传感器数据流中的信号伪影的系统和方法
公开(公告)号：US09149219B2
公开(公告)日：2015-10-06
申请号：US13024076
申请日：2011-02-09
申请人： Paul V. Goode, Jr. , James H. Brauker , Apurv U. Kamath , James Patrick Thrower , Victoria Carr-Brendel
发明人： Paul V. Goode, Jr. , James H. Brauker , Apurv U. Kamath , James Patrick Thrower , Victoria Carr-Brendel
IPC分类号： A61B5/05 , A61B5/00 , A61B5/1486 , A61B5/145
CPC分类号： 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
摘要： 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.
摘要翻译：用于最小化或消除由于非葡萄糖速率限制现象（如缺血，pH变化，温度变化等）引起的瞬时非葡萄糖相关信号噪声的系统和方法。系统监测来自葡萄糖传感器的数据流，并检测具有比电子或扩散相关系统噪声更高的幅度的信号伪像。该系统连续地或间歇地替代一些或整个数据流，包括特别地解决瞬态信号伪影的信号估计方法。该系统还能够检测信号伪像的严重性并且响应于信号伪像的严重性选择性地应用一个或多个信号估计算法因子，其包括选择性地将不同的参数集合应用于信号估计算法或选择性地应用不同信号估计算法。

10. 发明授权

US08821400B2 Systems and methods for replacing signal artifacts in a glucose sensor data stream 有权
公开(公告)号：US08821400B2
公开(公告)日：2014-09-02
申请号：US13023776
申请日：2011-02-09
申请人： Paul V. Goode, Jr. , James H. Brauker , Apurv U. Kamath , James Patrick Thrower , Victoria Carr-Brendel
发明人： Paul V. Goode, Jr. , James H. Brauker , Apurv U. Kamath , James Patrick Thrower , Victoria Carr-Brendel
IPC分类号： A61B5/00 , A61B5/145 , A61B5/1486
CPC分类号： 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
摘要： 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.

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