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-0193007 (2016-06-25) |
등록번호 | US-9743865 (2017-08-29) |
발명자 / 주소 |
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출원인 / 주소 |
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대리인 / 주소 |
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인용정보 | 피인용 횟수 : 0 인용 특허 : 402 |
Methods, devices and systems for receiving an instruction to determine a glycemic variation level, retrieving a stored metric for determining the glycemic variation level, retrieving one or more parameters associated with the retrieved metric analysis, determining the glycemic variation level based
Methods, devices and systems for receiving an instruction to determine a glycemic variation level, retrieving a stored metric for determining the glycemic variation level, retrieving one or more parameters associated with the retrieved metric analysis, determining the glycemic variation level based on the retrieved one or more parameters for the retrieved metric analysis, and outputting the determined glycemic variation level when it is determined that the retrieved one or more parameters associated with the retrieved metric analysis meets a predetermined condition are disclosed.
1. An apparatus, comprising: one or more processing units;an output component operatively coupled to the one or more processing units; anda memory operatively coupled to the one or more processing units, the memory for storing instructions which, when executed by the one or more processing units, ca
1. An apparatus, comprising: one or more processing units;an output component operatively coupled to the one or more processing units; anda memory operatively coupled to the one or more processing units, the memory for storing instructions which, when executed by the one or more processing units, causes the one or more processing units to: obtain glycemic data over a period of time;store the glycemic data in the memory;determine whether the time period over which the stored glycemic data was obtained meets a predetermined minimum period of time;determine whether the stored glycemic data meets a predetermined condition based on a parameter of a glycemic variation metric; andoutput a failure notification using the output component when the time period over which the stored glycemic data was obtained does not meet the predetermined minimum period of time and when the stored glycemic data does not meet the predetermined condition based on the parameter of the glycemic variation metric. 2. The apparatus of claim 1, wherein the glycemic variation metric includes one or more of a standard deviation analysis, Mean Amplitude of Glycemic Excursions (MAGE) analysis, Glycemic Risk Assessment Diabetes Excursion (GRADE) analysis, Lability index analysis, a number of glycemic variation episode excursions analysis, a duration of each glycemic variation episode excursion analysis, an average maximum excursion value analysis, or a low/high blood glucose index analysis. 3. The apparatus of claim 1, wherein the parameter of the glycemic variation metric is a cumulative subject value at a given point in time, and further, wherein the memory for storing instructions, when executed by the one or more processing units, causes the one or more processing units to determine whether the stored glycemic data meets the predetermined condition based on the parameter of the glycemic variation metric by determining whether the cumulative subject value at the given point in time is within 10% of a true parameter value for the glycemic variation metric. 4. The apparatus of claim 1, wherein the predetermined minimum period of time is at least 50 days. 5. The apparatus of claim 1, wherein the memory for storing instructions, when executed by the one or more processing units, causes the one or more processing units to determine a glycemic variation level using the glycemic variation metric when the time period over which the stored glycemic data was obtained exceeds the predetermined minimum period of time and when the stored glycemic data meets the predetermined condition based on the parameter of the glycemic variation metric. 6. The apparatus of claim 2, wherein the memory for storing instructions, when executed by the one or more processing units, causes the one or more processing units to: determine a glycemic variation level using the glycemic variation metric, the parameter of the glycemic variation metric, and the stored glycemic data, and output the determined glycemic variation level using the output component, when the time period over which the stored glycemic data was obtained exceeds the predetermined minimum period of time and when the stored glycemic data meets the predetermined condition based on the parameter of the glycemic variation metric. 7. The apparatus of claim 6, wherein the memory for storing instructions, when executed by the one or more processing units, causes the one or more processing units to output the determined glycemic variation level using the output component by displaying a graphical representation of the determined glycemic variation level over time. 8. The apparatus of claim 7, wherein the memory for storing instructions, when executed by the one or more processing units, causes the one or more processing units to output the graphical representation in real time. 9. The apparatus of claim 5, further comprising a therapy unit operatively coupled to the one or more processing units, the therapy unit including a controller configured to control administration of a therapy based on the determined glycemic variation level. 10. The apparatus of claim 1, wherein the parameter of the glycemic variation metric is a value for a minimum number of glucose data over the predetermined minimum period of time, and wherein the predetermined condition is whether the stored glycemic data has a number of glucose data points greater than the value for the minimum number of glucose data over the predetermined minimum period of time. 11. A system, comprising: sensor electronics, operatively coupled to an analyte sensor in contact with bodily fluid of a user, to communicate glycemic data based on signals received from the analyte sensor; anda computing device, comprising: one or more processing units;a communication component;an output component operatively coupled to the one or more processing units; anda memory operatively coupled to the one or more processing units, the memory for storing instructions which, when executed by the one or more processing units, causes the one or more processing units to: obtain glycemic data from the sensor electronics over a period of time using the communication component;store the glycemic data in the memory;determine whether the time period over which the stored glycemic data was obtained meets a predetermined minimum period of time;determine whether the stored glycemic data meets a predetermined condition based on a parameter of a glycemic variation metric; andoutput a failure notification using the output component when the time period over which the stored glycemic data was obtained does not meet the predetermined minimum period of time and when the stored glycemic data does not meet the predetermined condition based on the parameter of the glycemic variation metric. 12. The system of claim 11, wherein the glycemic variation metric includes one or more of a standard deviation analysis, Mean Amplitude of Glycemic Excursions (MAGE) analysis, Glycemic Risk Assessment Diabetes Excursion (GRADE) analysis, Lability index analysis, a number of glycemic variation episode excursions analysis, a duration of each glycemic variation episode excursion analysis, an average maximum excursion value analysis, or a low/high blood glucose index analysis. 13. The system of claim 12, wherein the parameter of the glycemic variation metric is a cumulative subject value at a given point in time, and wherein the memory for storing instructions, when executed by the one or more processing units, causes the one or more processing units to determine whether the stored glycemic data meets the predetermined condition based on the parameter of the glycemic variation metric by determining whether the cumulative subject value at the given point in time is within a predetermined range of a true parameter value for the glycemic variation metric. 14. The system of claim 11, wherein the predetermined minimum period of time is at least 50 days. 15. The system of claim 11, wherein the memory for storing instructions, when executed by the one or more processing units, causes the one or more processing units to determine a glycemic variation level using the glycemic variation metric when the time period over which the stored glycemic data was obtained exceeds the predetermined minimum period of time and when the stored glycemic data meets the predetermined condition based on the parameter of the glycemic variation metric. 16. The system of claim 15, wherein the memory for storing instructions, when executed by the one or more processing units, causes the one or more processing units to determine the glycemic variation level, the parameter of the glycemic variation metric, and the stored glycemic data, and output the determined glycemic variation level using the output component, when the time period over which the stored glycemic data was obtained exceeds the predetermined minimum period of time and when the stored glycemic data meets the predetermined condition based on the parameter of the glycemic variation metric. 17. The system of claim 16, wherein the memory for storing instructions, when executed by the one or more processing units, causes the one or more processing units to output the determined glycemic variation level using the output component by displaying a graphical representation of the determined glycemic variation level over time. 18. The system of claim 17, wherein the memory for storing instructions, when executed by the one or more processing units, causes the one or more processing units to output the graphical representation in real time. 19. The system of claim 15, further comprising a therapy unit operatively coupled to the computing device, and including a controller configured to control administration of a therapy based on the determined glycemic variation level. 20. The system of claim 11, wherein the parameter of the glycemic variation metric is a value for a minimum number of glucose data over the predetermined minimum period of time, and wherein the predetermined condition is whether the stored glycemic data has a number of glucose data points greater than the value for the minimum number of glucose data over the predetermined minimum period of time.
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