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-0616916 (2017-06-07) |
등록번호 | US-9801577 (2017-10-31) |
발명자 / 주소 |
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출원인 / 주소 |
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대리인 / 주소 |
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인용정보 | 피인용 횟수 : 0 인용 특허 : 450 |
Methods, devices, systems, and computer program products are provided to improve sensitivity calibration of an in vivo analyte sensor and usability of an associated analyte monitoring system. In certain embodiments, methods are provided that improve the user experience of using an analyte monitoring
Methods, devices, systems, and computer program products are provided to improve sensitivity calibration of an in vivo analyte sensor and usability of an associated analyte monitoring system. In certain embodiments, methods are provided that improve the user experience of using an analyte monitoring system. Certain embodiments of the present disclosure include features that reduce the amount of calibration or re-calibration performed by the analyte monitoring system. More specifically methods of using a suspect calibration attempt to avoid having to recalibrate by adjusting the calibration or mitigating effects of sensor signal attenuation that caused the calibration attempt to be suspect are provided. Additional features are disclosed.
1. A method, comprising: determining a sample lot sensitivity associated with sensors in a manufacturing lot;selecting a sensor in the lot;for the selected sensor, determining one or more sensor-specific correction factors;determining a sensor-specific sensitivity for the selected sensor based on th
1. A method, comprising: determining a sample lot sensitivity associated with sensors in a manufacturing lot;selecting a sensor in the lot;for the selected sensor, determining one or more sensor-specific correction factors;determining a sensor-specific sensitivity for the selected sensor based on the one or more sensor-specific correction factors;updating a sensor code based on the sensor-specific sensitivity; andcalibrating analyte level data obtained by the selected sensor based on the updated sensor code. 2. The method of claim 1, wherein the sample lot sensitivity is a median sensitivity for the sensors of the lot. 3. The method of claim 1, wherein the one or more sensor-specific correction factors are predetermined. 4. The method of claim 3, wherein the one or more sensor-specific correction factors are predetermined based on prior sensor use. 5. The method of claim 1, wherein the sample lot sensitivity corresponds to a nominal sensor code sensitivity. 6. The method of claim 1, wherein the one or more sensor-specific correction factors include a correction factor dependent on a physical characteristic of the sensor. 7. The method of claim 6, wherein the correction factor dependent on the physical characteristic of the sensor is further dependent on a period of time of sensor wear. 8. The method of claim 1, further comprising displaying an analyte concentration value corresponding to the calibrated analyte level data. 9. The method of claim 1, wherein the selected sensor is one of a glucose sensor or a lactate sensor. 10. The method of claim 1, wherein the analyte level data is calibrated in real time. 11. The method of claim 1, further comprising transmitting the calibrated analyte level data to a remote device. 12. The method of claim 11, wherein the calibrated analyte level data is transmitted via a radio frequency (RF) communication link. 13. The method of claim 11, wherein the calibrated analyte level data is transmitted in one or more batches in response to a request from the remote device. 14. The method of claim 1, further comprising determining a risk distribution for the selected sensor. 15. The method of claim 1, further comprising delivering medicament with a medicament delivery device based on the calibrated analyte level data. 16. The method of claim 1, further comprising modifying a stored user profile based on the calibrated analyte level data.
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