Apparatus and method for monitoring blood glucose levels including convenient display of blood glucose value average and constituent values
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
A61B-005/00
A61B-005/145
G06F-019/00
출원번호
US-0944786
(2015-11-18)
등록번호
US-9386955
(2016-07-12)
발명자
/ 주소
Ginsberg, Barry H.
출원인 / 주소
Becton, Dickinson and Company
대리인 / 주소
Dickinson Wright PLLC
인용정보
피인용 횟수 :
0인용 특허 :
28
초록▼
An effective meal average (EMA) value is presented, followed by two or more of the individual values that make up the EMA, to provide improved feedback data for clinical decisions by patients who need to alter their dose of insulin. The EMA can comprise a measure of the variability of its constituen
An effective meal average (EMA) value is presented, followed by two or more of the individual values that make up the EMA, to provide improved feedback data for clinical decisions by patients who need to alter their dose of insulin. The EMA can comprise a measure of the variability of its constituent values, encompass values that occur at specified times such as 1 hour before and after a specified meal time, and be calculated over a limited number of days previous to the calculation (e.g., 3 days) and have a minimum number of values that must be obtained within the time and date ranges. An algorithm can exclude any given reading from the average (e.g., post-prandial or control solution readings). Patients can use 1 to 8 EMA on any given date range (e.g., preferably 4, that is, breakfast, lunch, supper and bedtime snack).
대표청구항▼
1. A method of annunciating a patient's medical data levels using a medical data level monitoring device comprising the steps of: storing medical data levels in a memory device with the corresponding dates and times of day the respective medical data levels were taken;selecting a time period and a c
1. A method of annunciating a patient's medical data levels using a medical data level monitoring device comprising the steps of: storing medical data levels in a memory device with the corresponding dates and times of day the respective medical data levels were taken;selecting a time period and a corresponding subset of the stored medical data levels comprising stored medical data levels taken during the time period;calculating using a processing device an average medical data level using at least n stored medical data levels selected from the subset of stored medical data levels where n is an integer greater than or equal to 2, the n stored medical data levels being constituent values of said average medical data level;sequentially annunciating said average medical data level and respective ones of the constituent values comprisingannunciating said average medical data level,receiving a first user input to annunciate a first medical data level from among the constituent values,annunciating said first medical data level, receiving a second user input to annunciate a second medical data level from among the constituent values, and annunciating said second medical data level; wherein each of the annunciating steps comprises displaying a corresponding one of said average medical data level and said constituent values on a display screen, the display screen comprising a first area for displaying one value selected from the group consisting of the average medical data level and said constituent values, and second area configured to simultaneously display n indicators corresponding to respective ones of said n stored medical data levels at least when one of said constituent values is displayed, and the annunciating steps for displaying said constituent values comprises displaying one of said n indicators corresponding to the constituent value currently being annunciated differently from the other ones of said n indicators in the second area to indicate which of said constituent values is currently being annunciated. 2. A method as claimed in claim 1, wherein each of the three said annunciating steps for annunciating said average medical data level, said first medical data level and said second medical data level, respectively, can be accompanied by generating a corresponding audible signal via a speaker. 3. A method as claimed in claim 1, wherein the medical data levels are blood glucose levels and the medical data level monitoring device is a blood glucose meter. 4. A method as claimed in claim 1, further comprising the step of annunciating a variability indicator that indicates the variability between said n stored medical data levels by at least one of displaying said variability indicator on the display screen and generating a corresponding audible signal via a speaker. 5. A method as claimed in claim 4, wherein said variability indicator is at least one of a scalar value, and a statistical parameter selected from the group consisting of a standard deviation and a coefficient of variance. 6. A method as claimed in claim 1, further comprising the steps of: receiving another user input to annunciate the next medical data level among said n stored medical data levels after said first medical data level and said second medical data level;annunciating the next medical data level; andrepeating the receiving step for receiving another user input to annunciate the next medical data level among the n medical data levels, and annunciating the next medical data level until each of said constituent values have been annunciated. 7. A method as claimed in claim 6, wherein said repeating step comprises the step of annunciating the average medical data level after the last medical data level among said constituent values has been annunciated. 8. A method as claimed in claim 1, further comprising the step of displaying each of said n indicators as nonflashing items when said first area is displaying said average medical data level, and flashing the corresponding one of said n indicators when its corresponding n medical data level is being displayed as one of the constituent values. 9. A method as claimed in claim 1, wherein said display screen comprises a third area for displaying a time of day and a date, and further comprising the step of displaying the time of day and date stored with a corresponding one of said n stored medical data levels in said third area when it is being displayed as a constituent value in said first area. 10. A method as claimed in claim 1, wherein said calculating step comprises the step of selecting the n stored medical data levels used to determine said average medical data level based on the date and time of day the stored medical data levels were taken. 11. A method as claimed in claim 10, wherein the time period is a period of time during a day, the subset of stored medical data levels comprises stored medical data levels taken during the period of time on a selected number of days, and said calculating step further comprises calculating the average medical data level for that time period over the selected number of days. 12. A method of displaying blood glucose levels using a blood glucose meter comprising the steps of: storing blood glucose levels in a memory device with the corresponding dates and times of day the respective blood glucose levels were taken; selecting a time period and a corresponding subset of the stored blood glucose levels comprising stored blood glucose levels taken during the time period; calculating using a processing device an average blood glucose level from at least three of the subset of stored blood glucose levels as the constituent values of the average blood glucose level;sequentially displaying the average blood glucose level using a display device of said blood glucose meter and respective ones of the constituent values comprising displaying said average blood glucose level,receiving a first user input to display a first one of the constituent values,displaying the first one of the constituent values in response to the first user input,receiving a second user input to display a second one of the constituent values,displaying the second one of the constituent values in response to the second user input, receiving a third user input to display the third one of the constituent values, displaying the third one of the constituent values in response to the third user input,receiving another user input to display a value, anddisplaying the average blood glucose level again;wherein each of the displaying steps comprises displaying said average blood glucose level and the constituent values on a display screen, the display screen comprising a first area for displaying one value selected from the group consisting of the average blood glucose level and the constituent values, and a second area configured to simultaneously display three indicators corresponding to respective ones of the three constituent values at least when one of said constituent values is displayed, and the displaying steps for displaying the constituent values comprise displaying one of the three indicators corresponding to the constituent value currently being displayed in the first area differently from the other ones of the three indicators in the second area to indicate which of the constituent values is currently being displayed. 13. A method as claimed in claim 12, wherein said blood glucose meter comprises forward and backward arrow keys for navigation forward and backward, respectively, among the different displayed constituent values. 14. A method as claimed in claim 12, further comprising the step of displaying each of said three indicators as nonflashing items when said first area is displaying the average blood glucose level, and flashing the corresponding one of said three indicators when its corresponding constituent value is being displayed. 15. A method as claimed in claim 12, wherein said calculating step comprises the step of selecting the stored blood glucose levels used to determine said average blood glucose level based on the date and time of day the stored blood glucose levels were taken. 16. A method as claimed in claim 12, wherein said calculating step further comprises selecting the time period to be a period of time during a day, the subset of stored medical data levels comprises stored medical data levels taken during the period of time on a selected number of days, and calculating the average blood glucose level for that time period over the selected number of days.
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