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-0210330 (2014-03-13) |
등록번호 | US-9474475 (2016-10-25) |
발명자 / 주소 |
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출원인 / 주소 |
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대리인 / 주소 |
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인용정보 | 피인용 횟수 : 3 인용 특허 : 524 |
Systems, methods and apparatus are provided for determining an estimate of an analyte level over time. The invention includes sampling sensor data using an analyte sensor positioned at least partially subcutaneously; storing a plurality of datasets of sensor data, each at a different rate; determini
Systems, methods and apparatus are provided for determining an estimate of an analyte level over time. The invention includes sampling sensor data using an analyte sensor positioned at least partially subcutaneously; storing a plurality of datasets of sensor data, each at a different rate; determining an estimated analyte level based on the datasets; and outputting the estimated analyte level to a display. Numerous additional aspects are disclosed.
1. A method comprising: sampling sensor data using an analyte sensor;storing a first dataset of the sensor data at a first rate in a first memory buffer;storing a second dataset of the sensor data at a second rate in a second memory buffer concurrently with the storing of the first dataset;determini
1. A method comprising: sampling sensor data using an analyte sensor;storing a first dataset of the sensor data at a first rate in a first memory buffer;storing a second dataset of the sensor data at a second rate in a second memory buffer concurrently with the storing of the first dataset;determining an estimated analyte level based on the first and second datasets of the sensor data; andoutputting the estimated analyte level to a display. 2. The method of claim 1, wherein the first rate is higher than the second rate. 3. The method of claim 2, wherein the first memory buffer has a size that is different than a size of the second memory buffer. 4. The method of claim 1, wherein storing the first and second datasets of the sensor data includes storing the first and second datasets of the sensor data in separate memory buffers within sensor electronics disposed with an on body device. 5. The method of claim 4, further comprising transferring the first and second datasets of the sensor data from the separate memory buffers to a receiver for processing. 6. The method of claim 1, wherein storing the first and second datasets of the sensor data includes storing the first and second datasets of the sensor data in separate memory partitions of a single memory device. 7. The method of claim 1, wherein determining the estimated analyte level includes: generating a composite dataset based on a selection of all or a subset of data points from the first and second datasets of the sensor data;determining a set of filter parameters based on rates of the composite dataset; anddetermining the estimated analyte level based on one or more filters using the set of filter parameters and the composite dataset. 8. A method, comprising: sampling sensor data using an analyte sensor;concurrently storing a plurality of datasets of the sensor data in a different memory buffer for each of the plurality of datasets, each of the plurality of datasets stored at a different rate from the others of the plurality of datasets;determining an estimated analyte level based on the plurality of datasets of the sensor data; andoutputting the estimated analyte level to a display. 9. The method of claim 8, wherein storing the plurality of datasets of the sensor data includes storing each dataset in separate memory buffers within sensor electronics disposed with an on body device. 10. The method of claim 9, further comprising transferring the plurality of datasets of the sensor data from the separate memory buffers to a receiver for signal processing. 11. The method of claim 8, wherein storing the plurality of datasets of the sensor data includes storing the plurality of datasets of the sensor data in separate memory partitions of a single memory device. 12. The method of claim 8, wherein determining the estimated analyte level includes: generating a composite dataset based on a selection of all or a subset of data points from the plurality of datasets of sensor data;determining a set of filter parameters based on rates of the composite dataset; anddetermining the estimated analyte level based on one or more filters using the set of filter parameters and the composite dataset. 13. A system for determining an estimate of an analyte level over time, the system comprising: a processor; anda memory coupled to the processor, the memory storing processor executable instructions to: sample sensor data using an analyte sensor;concurrently store a plurality of datasets of the sensor data in a different memory buffer for each of the plurality of datasets, each at a different rate from the others of the plurality of datasets;determine an estimated analyte level based on the plurality of datasets of the sensor data; andoutput the estimated analyte level to a display. 14. The system of claim 13, wherein the memory including processor executable instructions to store the plurality of datasets of the sensor data includes an instruction to store each dataset in separate memory buffers within sensor electronics disposed with an on body device. 15. The system of claim 14, wherein the memory including processor executable instructions further includes an instruction to transfer the plurality of datasets of the sensor data from the separate memory buffers to a receiver for signal processing. 16. The system of claim 13, wherein the memory including processor executable instructions to store the plurality of datasets of the sensor data includes an instruction to store the plurality of datasets of the sensor data in separate memory partitions of a single memory device. 17. The system of claim 13, wherein the memory including processor executable instructions to determine the estimated analyte level includes an instruction to determine a discrete time approximation of a filter model represented by a state space realization. 18. The system of claim 13, wherein the memory including processor executable instructions to determine the estimated analyte level includes instructions to: generate a composite dataset based on a selection of all or a subset of data points from the plurality of datasets of sensor data;determine a set of filter parameters based on rates of the composite dataset; anddetermine the estimated analyte level based on one or more filters using the set of filter parameters and the composite dataset.
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