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 |
---|---|
국제특허분류(IPC7판) |
|
출원번호 | US-0216696 (2014-03-17) |
등록번호 | US-9066709 (2015-06-30) |
발명자 / 주소 |
|
출원인 / 주소 |
|
대리인 / 주소 |
|
인용정보 | 피인용 횟수 : 0 인용 특허 : 1101 |
Methods and devices to detect analyte in body fluid are provided. Embodiments include receiving one or more analyte sensor data, receiving a reference measurement value associated with an analyte level, determining a sensitivity parameter based on the received one or more analyte sensor data and the
Methods and devices to detect analyte in body fluid are provided. Embodiments include receiving one or more analyte sensor data, receiving a reference measurement value associated with an analyte level, determining a sensitivity parameter based on the received one or more analyte sensor data and the reference measurement value, performing a probability analysis based on prior analyte sensor data to determine presence of signal attenuation, and generating an output value based on the probability analysis.
1. A method, comprising: determining one or more sensitivity values based on one or more retrieved stored analyte sensor data, one or more received analyte sensor data and one or more reference measurement values;determining a sensitivity parameter of an analyte sensor based on the determined one or
1. A method, comprising: determining one or more sensitivity values based on one or more retrieved stored analyte sensor data, one or more received analyte sensor data and one or more reference measurement values;determining a sensitivity parameter of an analyte sensor based on the determined one or more sensitivity values; andperforming a probability analysis of the determined sensitivity parameter to determine a presence of a signal attenuation condition of the analyte sensor. 2. The method of claim 1, wherein performing the probability analysis includes determining a sensor signal attenuation profile based on the determined one or more sensitivity values. 3. The method of claim 1, wherein the retrieved stored analyte sensor data includes data associated with a monitored analyte level over a predetermined time period. 4. The method of claim 1, wherein performing the probability analysis includes determining the presence or an absence of the signal attenuation condition based at least in part on the determined sensitivity parameter. 5. The method of claim 4, wherein determining the presence or the absence of the signal attenuation condition includes retrieving one or more parameters associated with signal attenuation associated with the determined sensitivity parameter. 6. The method of claim 1, further including generating an output value based on the probability analysis and comparing the output value to a predetermined threshold level. 7. The method of claim 6, further including determining the presence of the signal attenuation condition of the analyte sensor based on the comparison. 8. The method of claim 6, wherein the predetermined threshold level is adjustable. 9. The method of claim 1, wherein performing the probability analysis further includes applying a probability distribution function to the determined sensitivity parameter. 10. The method of claim 1, wherein the one or more reference measurement values include analyte data associated with a second analyte sensor. 11. The method of claim 1, wherein the one or more reference measurement values are received from a second analyte sensor. 12. An apparatus, comprising: an analyte sensor;a data communication interface;one or more processors operatively coupled to the data communication interface and in signal communication with the analyte sensor; anda memory for storing instructions which, when executed by the one or more processors, causes the one or more processors to determine one or more sensitivity values based on one or more retrieved stored analyte sensor data, one or more received analyte sensor data and one or more reference measurement values, determine a sensitivity parameter of the analyte sensor based on the determined one or more sensitivity values, and perform a probability analysis of the determined sensitivity parameter to determine a presence of a signal attenuation condition of the analyte sensor. 13. The apparatus of claim 12, wherein the memory for storing instructions which, when executed by the one or more processors, further causes the one or more processors to determine a sensor signal attenuation profile based on the determined one or more sensitivity values to perform the probability analysis. 14. The apparatus of claim 12, wherein the one or more retrieved stored analyte sensor data includes data associated with a monitored analyte level over a predetermined time period. 15. The apparatus of claim 12, wherein the memory for storing instructions which, when executed by the one or more processors, further causes the one or more processors to determine the presence or an absence of the signal attenuation condition based at least in part on the determined sensitivity parameter to perform the probability analysis. 16. The apparatus of claim 15, wherein the memory for storing instructions which, when executed by the one or more processors, further causes the one or more processors to retrieve one or more parameters associated with signal attenuation associated with the determined sensitivity parameter to determine the presence or the absence of the signal attenuation condition. 17. The apparatus of claim 12, wherein the memory for storing instructions which, when executed by the one or more processors, further causes the one or more processors to generate an output value based on the probability analysis and compare the output value to a predetermined threshold level. 18. The apparatus of claim 17, wherein the memory for storing instructions which, when executed by the one or more processors, further causes the one or more processors to determine the presence of the signal attenuation condition of the analyte sensor based on the comparison. 19. The apparatus of claim 18, wherein the predetermined threshold level is adjustable. 20. The apparatus of claim 12, wherein the memory for storing instructions which, when executed by the one or more processors, further causes the one or more processors to apply a probability distribution function to the determined sensitivity parameter to perform the probability analysis.
Copyright KISTI. All Rights Reserved.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.