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-0565199 (2009-09-23) |
등록번호 | US-8469886 (2013-06-25) |
발명자 / 주소 |
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출원인 / 주소 |
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대리인 / 주소 |
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인용정보 | 피인용 횟수 : 15 인용 특허 : 426 |
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 evaluati
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.
1. A method for processing sensor data from a continuous analyte sensor, comprising: receiving sensor data from the continuous analyte sensor;processing, using a processor module, the sensor data; andproviding output on a display, using an output module, based at least in part on the sensor data, wh
1. A method for processing sensor data from a continuous analyte sensor, comprising: receiving sensor data from the continuous analyte sensor;processing, using a processor module, the sensor data; andproviding output on a display, using an output module, based at least in part on the sensor data, wherein the output comprises the processed sensor data plotted on a graph according to a non-uniform y-axis glucose concentration scale. 2. The method of claim 1, wherein providing output comprises displaying the output in real-time. 3. The method of claim 1, wherein processing the sensor data comprises prospectively calibrating the sensor data, and wherein the sensor data displayed on the non-uniform axis comprises a prospectively calibrated sensor data point. 4. The method of claim 1, wherein the non-uniform y-axis comprises a plurality of different zones simultaneously displayed, and wherein the scale resolutions scale resolution along the y-axis of a first zone of the plurality of zones is different than the scale resolution alone the y-axis of a second zone of the plurality of zones, and wherein the first zone is associated with a hypoglycemia condition of a host and the second zone is associated with a hyperglycemia condition of the host. 5. The method of claim 4, wherein the plurality of different zones further comprises a third zone having different scale resolution along the y-axis that is different than both the first zone and the second zone, and wherein the third zone is associated with a target glucose concentration range. 6. The method of claim 1, wherein the continuous analyte sensor is a continuous glucose sensor. 7. The method of claim 1, wherein the scale of the y-axis is incremented in a plurality of different resolutions. 8. The method of claim 1, wherein the y-axis constantly increases in value. 9. The method of claim 1, wherein the y-axis is incremented in a non-uniform manner according to glycemic clinical to a host. 10. A system for processing sensor data from a continuous analyte sensor, comprising: an input module operatively connected to the continuous analyte sensor so as to receive sensor data from the continuous analyte sensor;a processor module that processes the sensor data; andan output module that provides output based on the sensor data, wherein the output comprises the processed sensor data plotted on a graph according to a non-uniform y-axis glucose concentration scale. 11. The system of claim 10, wherein the sensor data is real-time sensor data. 12. The system of claim 10, wherein the processor module prospectively calibrates the sensor data, and wherein the sensor data plotted on the graph is prospectively calibrated sensor data. 13. The system of claim 10, wherein the non-uniform y-axis comprises a plurality of different zones simultaneously displayed, and wherein the y-axis scale resolution of a first zone of the plurality of zones is different than the y-axis scale resolution of a second zone of the plurality of zones, and wherein the first zone is associated with a low analyte concentration condition of a host and the second zone is associated with a high analyte condition of the host. 14. The system of claim 13, wherein the plurality of different zones further comprises a third zone having different scale resolution along the y-axis that is different than both the first zone and the second zone, and wherein the third zone is associated with a target analyte concentration range. 15. The system of claim 10, wherein the continuous analyte sensor is a continuous glucose sensor. 16. The system of claim 10, wherein the output module includes a display screen and wherein the sensor data is displayed on a graph on the display screen. 17. The system of claim 10, wherein the scale of the y-axis is incremented in a plurality of different resolutions. 18. The system of claim 10, wherein the y-axis constantly increases in value. 19. The system of claim 10, wherein the y-axis is incremented in a non-uniform manner according to glycemic clinical to a host.
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