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.
대표청구항▼
1. A method, comprising: 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 stored metric;determining, using one or more processors, the glycemic vari
1. A method, comprising: 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 stored metric;determining, using one or more processors, the glycemic variation level based on the retrieved one or more parameters for the retrieved stored metric; andoutputting the determined glycemic variation level when it is determined that the retrieved one or more parameters associated with the retrieved stored metric meets a predetermined condition, wherein the predetermined condition includes a predetermined stabilization level. 2. The method of claim 1 wherein the determined glycemic variation level is output only when it is determined that the retrieved one or more parameters meets the predetermined condition. 3. The method of claim 1 wherein the predetermined condition includes availability of a number of glucose data over a predetermined time period. 4. The method of claim 3 wherein the predetermined time period is associated with the retrieved stored metric. 5. The method of claim 1 wherein the glycemic variation level is output as one or more of an audible indication, a visual indication, a vibratory indication, or one or more combinations thereof. 6. The method of claim 1 including storing the determined glycemic variation level. 7. The method of claim 1 including outputting an indication of unsuccessful glycemic variation level when it is determined that the retrieved one or more parameters associated with the retrieved stored metric does not meet the predetermined condition. 8. The method of claim 1 wherein the one or more stored 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. 9. The method of claim 1 wherein the one or more parameters includes at least one of a predetermined number of prior glucose data points and glucose data obtained over a predetermined time period. 10. An apparatus, comprising: a storage unit for storing one or more executable instructions; anda microprocessor operatively coupled to the storage unit for accessing the one or more executable instructions, which, when executed receives an instruction to determine a glycemic variation level, retrieves a stored metric for determining the glycemic variation level, retrieves one or more parameters associated with the retrieved stored metric, determines the glycemic variation level based on the retrieved one or more parameters for the retrieved stored metric, and outputs the determined glycemic variation level when it is determined that the retrieved one or more parameters associated with the retrieved stored metric meets a predetermined condition, wherein the predetermined condition includes a predetermined stabilization level. 11. The apparatus of claim 10 wherein the microprocessor operatively coupled to the storage unit for accessing the one or more executable instructions, which, when executed, outputs the determined glycemic variation level only when it is determined that the retrieved one or more parameters meets the predetermined condition. 12. The apparatus of claim 10 wherein the predetermined condition includes availability of a number of glucose data over a predetermined time period. 13. The apparatus of claim 12 wherein the predetermined time period is associated with the stored metric. 14. The apparatus of claim 10 wherein the microprocessor operatively coupled to the storage unit for accessing the one or more executable instructions, which, when executed, outputs the glycemic variation level as one or more of an audible indication, a visual indication, a vibratory indication, or one or more combinations thereof. 15. The apparatus of claim 10 wherein the microprocessor operatively coupled to the storage unit for accessing the one or more executable instructions, which, when executed, stores the determined glycemic variation level. 16. The apparatus of claim 10 wherein the microprocessor operatively coupled to the storage unit for accessing the one or more executable instructions, which, when executed, outputs an indication of unsuccessful glycemic variation level when it is determined that the retrieved one or more parameters associated with the stored metric does not meet the predetermined condition. 17. The apparatus of claim 10 wherein the one or more stored 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. 18. The apparatus of claim 10 wherein the one or more parameters includes at least one of a predetermined number of prior glucose data points and glucose data obtained over a predetermined time period. 19. A method, comprising: 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 stored metric;determining, using one or more processors, the glycemic variation level based on the retrieved one or more parameters for the retrieved stored metric;outputting the determined glycemic variation level when it is determined that the retrieved one or more parameters associated with the retrieved stored metric meets a predetermined condition; andoutputting an indication of unsuccessful glycemic variation level when it is determined that the retrieved one or more parameters associated with the retrieved stored metric does not meet the predetermined condition. 20. The method of claim 19 wherein the determined glycemic variation level is output only when it is determined that the retrieved one or more parameters meets the predetermined condition. 21. The method of claim 19 wherein the predetermined condition includes availability of a number of glucose data over a predetermined time period. 22. The method of claim 21 wherein the predetermined time period is associated with the retrieved stored metric. 23. The method of claim 19 wherein the glycemic variation level is output as one or more of an audible indication, a visual indication, a vibratory indication, or one or more combinations thereof. 24. The method of claim 19 including storing the determined glycemic variation level. 25. The method of claim 19 wherein the one or more stored 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. 26. The method of claim 19 wherein the one or more parameters includes at least one of a predetermined number of prior glucose data points and glucose data obtained over a predetermined time period.
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