최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
DataON 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Edison 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Kafe 바로가기국가/구분 | United States(US) Patent 등록 |
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국제특허분류(IPC7판) |
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출원번호 | US-0458016 (2012-04-27) |
등록번호 | US-8808182 (2014-08-19) |
발명자 / 주소 |
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출원인 / 주소 |
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대리인 / 주소 |
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인용정보 | 피인용 횟수 : 0 인용 특허 : 381 |
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 o
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.
1. A method for evaluating clinical acceptability of at least one of reference and sensor glucose data, the method comprising: receiving sensor data from a continuous glucose sensor during a time period of continuous glucose sensing of a host, including one or more sensor data points;receiving refer
1. A method for evaluating clinical acceptability of at least one of reference and sensor glucose data, the method comprising: receiving sensor data from a continuous glucose sensor during a time period of continuous glucose sensing of a host, including one or more sensor data points;receiving reference data from a reference glucose monitor during the time period of continuous glucose sensing of the host, including one or more reference data points; andusing a processor module to determine, during the time period of continuous glucose sensing of the host, the clinical acceptability of at least one of: (i) said reference data using substantially time corresponding sensor data, wherein said reference data is evaluated for deviation from its substantially time corresponding sensor data in units of blood glucose concentration and clinical risk associated with that deviation based on a user's blood glucose concentration as indicated by at least one of said reference data and said sensor data; and(ii) said sensor data using substantially time corresponding reference data, wherein said sensor data is evaluated for deviation from its substantially time corresponding reference data in units of blood glucose concentration and clinical risk associated with that deviation based on a user's blood glucose concentration as indicated by at least one of said sensor data and said time reference data. 2. The method of claim 1, further comprising providing an output through a user interface responsive to said clinical acceptability determination. 3. The method of claim 2, wherein providing the output includes alerting a user based on said clinical acceptability evaluation. 4. The method of claim 2, wherein the providing the output includes altering the user interface based on said clinical acceptability evaluation. 5. The method of claim 1, further comprising requesting additional reference data if said processor module determines clinical unacceptability. 6. The method of claim 1, further comprising outputting real-time estimated glucose information to a user interface, wherein the real-time estimated glucose information is reflective of the sensor data responsive to the clinical acceptability determination. 7. The method of claim 6, further comprising repeating the clinical acceptability evaluation step for said additional reference data. 8. The method of claim 1, further comprising altering a user interface responsive to a result of the clinical acceptability determination below a predetermined threshold. 9. The method of claim 1, further comprising altering a user interface responsive to the clinical acceptability determination, the altering comprising temporarily discontinuing a display of sensor data on the user interface. 10. A computer system for evaluating clinical acceptability of at least one of reference and sensor glucose data, the computer system comprising: a sensor data receiving module configured to receive, during a time period of continuous glucose sensing of a host sensor data comprising a plurality of time spaced sensor data points from a substantially continuous glucose sensor;a reference data receiving module configured to receive, during the time period of continuous glucose sensing of the host reference data from a reference glucose monitor, including one or more reference data points; anda clinical acceptability evaluation module configured to determine, during the time period of continuous glucose sensing of the host, the clinical acceptability of at least one of: (i) said reference data using substantially time corresponding sensor data, wherein said reference data is evaluated for deviation from its substantially time corresponding sensor data in units of blood glucose concentration and clinical risk associated with that deviation based on a user's blood glucose concentration as indicated by at least one of said reference data and said sensor data; and(ii) said sensor data using substantially time corresponding reference data, wherein said sensor data is evaluated for deviation from its substantially time corresponding reference data in units of blood glucose concentration and clinical risk associated with that deviation based on a user's blood glucose concentration as indicated by at least one of said sensor data and said reference data. 11. The computer system of claim 10, further comprising an interface control module configured to control a user interface based on said clinical acceptability determination. 12. The computer system of claim 11, wherein said interface control module is configured to control the user interface by alerting the user responsive to said clinical acceptability determination. 13. The computer system of claim 11, wherein said interface control module is configured to alter the user interface based on said clinical acceptability determination. 14. The computer system of claim 11, wherein said interface control module is configured to control the user interface by prompting for additional reference data using the user interface if said clinical acceptability evaluation module determines clinical unacceptability. 15. The computer system of claim 14, wherein said clinical acceptability evaluation module is additionally configured to determine a clinical acceptability of said additional reference data. 16. The computer system of claim 10, further comprising an interface control module configured to output real-time estimated glucose information to a user interface, wherein the real-time estimated glucose information is reflective of the sensor data responsive to the clinical acceptability determination. 17. The computer system of claim 16, wherein the interface control module is further configured to alter the user interface responsive to a result of the clinical acceptability evaluation below a predetermined threshold. 18. The computer system of claim 17, wherein the interface control module is configured to alter the user interface by at least temporarily discontinuing a display of sensor data on the user interface. 19. The computer system of claim 17, further comprising a calibration module configured to calibrate the continuous glucose sensor using a conversion function, wherein the calibration module forms or modifies the conversion function based on a statistical association of one or more matched data pairs, each of the one or more matched data pairs comprising a reference data point and a time-corresponding sensor data point.
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