KR102418338B1 - Apparatus for measuring fasting blood glucose using continuous blood glucose data and method thereof - Google Patents

Abstract

The present invention relates to a device and a method for measuring fasting blood glucose using continuous blood glucose data. The method comprises: a step in which the fasting blood glucose measuring device collects fasting blood glucose data depending on gender, age, weight, average sleep time, and glycated hemoglobin of normal people and diabetic patients; a step in which the fasting blood glucose measuring device groups users by category depending on diabetes status, gender, age group, weight, average sleep time, and glycated hemoglobin level and calculates an individual fasting blood glucose dispersion using the fasting blood glucose data for a plurality of users grouped in the same category; a step in which the fasting blood glucose measuring device calculates a fasting blood glucose dispersion range for each category corresponding to each category using the individual fasting blood glucose dispersion; a step in which the fasting blood glucose measuring device receives continuous blood glucose data of a subject measured every n minutes in m time periods from a continuous blood glucose meter and calculates a continuous blood glucose dispersion for each cycle using the continuous blood glucose data of the subject; a step in which the fasting blood glucose measuring device receives biometric information from the subject and extracts the fasting blood glucose dispersion range corresponding to the category to which the subject belongs; a step in which the fasting blood glucose measuring device determines whether the continuous blood glucose dispersion of the subject is within the fasting blood glucose dispersion range of the corresponding category; and a step in which the fasting blood glucose measuring device extracts, as fasting blood glucose data, the continuous blood glucose data measured in the cycle corresponding to the continuous blood glucose dispersion closest to a lower limit value of the fasting blood glucose dispersion range if the continuous blood glucose dispersion of the subject is within the fasting blood glucose dispersion range of the corresponding category. Accordingly, it is possible to accurately grasp the blood glucose state of the subject.

Description

Fasting blood glucose measurement device and method using continuous blood glucose data TECHNICAL FIELD

The present invention relates to an apparatus and method for measuring fasting blood glucose using continuous blood glucose data, and more particularly, to calculating the continuous blood glucose dispersion using the continuous blood glucose data of a subject, and obtaining fasting blood glucose data from the continuous blood glucose dispersion of the subject It relates to an apparatus and method for measuring fasting blood glucose using continuous blood glucose data to be extracted.

In general, diabetes refers to a symptom in which the amount of glucose in blood is higher than normal, and is generally classified as diabetes when fasting blood sugar is 126 mg/dL or more and 200 mg/dL or more 2 hours after a meal.

Diabetes mellitus is a representative chronic disease caused by metabolic abnormalities, and its prevalence continues to increase due to rapid economic growth and excessive nutritional intake, lack of exercise, and stress due to westernization of diet.

At this time, diabetes mellitus has difficulties in the absolute or relative lack of insulin secretion or continuous and proper management of insulin in target cells, and causes microvascular complications such as retinal, kidney, and nerve and macrovascular complications such as arteriosclerosis and cardiovascular disease. In severe cases, it is a dangerous disease that can be life-threatening.

In other words, diabetes is a chronic disease that requires lifelong management, and its complications are more important than itself, and the only way to maintain a quality life and prevent chronic complications of diabetes is strict blood sugar control.

Blood sugar changes with time due to various causes such as food intake. In particular, during fasting, the longer the time without food intake, the lower the blood sugar level, and the higher the blood sugar level when food is consumed.

Therefore, it is necessary to continuously measure the blood sugar level in order to determine an accurate blood sugar level.

However, there is a problem in that it is very difficult to systematically and effectively manage and analyze the pathological characteristics in that diabetic patients themselves have to carefully observe the trend and history of blood sugar changes.

The technology that is the background of the present invention is disclosed in Korean Patent Publication No. 10-2013-0135677 (published on December 11, 2013).

The technical problem to be achieved by the present invention is to calculate the continuous blood glucose dispersion by using the continuous blood glucose data of the subject, and to extract the fasting blood glucose data from the continuous blood glucose dispersion of the subject. it's about

According to an embodiment of the present invention for achieving this technical task, in the method for measuring fasting blood glucose using continuous blood glucose data, the fasting blood glucose measurement device is based on the gender, age, weight, average sleep time, and glycated hemoglobin of normal and diabetic patients. Grouping by category according to the step of collecting fasting blood glucose data, diabetes status, gender, age, weight, average sleep time, and glycated hemoglobin level, and using fasting blood glucose data for a plurality of users grouped in the same category Calculating the blood glucose dispersion, calculating the fasting blood glucose dispersion range for each category corresponding to each category using the individual fasting blood glucose dispersion, continuous blood glucose of a subject measured every n minutes at an m time period from a continuous blood glucose meter receiving data, calculating the continuous blood glucose dispersion for each cycle by using the continuous blood glucose data of the subject; receiving biometric information from the subject, and extracting the fasting blood glucose dispersion range corresponding to the category to which the subject belongs determining whether the continuous blood glucose dispersion of the subject is included in the fasting blood glucose dispersion range of the corresponding category, and if the continuous blood glucose dispersion of the subject is included in the fasting blood glucose dispersion of the corresponding category, and extracting continuous blood glucose data measured in a period corresponding to a continuous blood glucose dispersion degree closest to a lower limit of the fasting blood glucose dispersion range as fasting blood glucose data.

The biometric information may include at least one of whether the subject is diabetic, gender, age, weight, average sleep time, and glycated hemoglobin level.

The calculating of the individual fasting blood glucose dispersion may include calculating the individual fasting blood glucose dispersion by applying the user's fasting blood glucose data corresponding to each category to the IQR.

The calculating of the individual fasting blood glucose dispersion may include calculating the individual fasting blood glucose dispersion for each user by using the following equation.

Dispersion of fasting blood glucose by individual = fasting blood glucose data value corresponding to the top 25% - fasting blood glucose data value corresponding to the top 75%

In the calculating of the fasting blood glucose dispersion range for each category, the fasting blood sugar dispersion range for each category may be calculated by applying the individual fasting blood sugar dispersion of the user included in the same category to the IQR.

The calculating of the fasting blood glucose dispersion range for each category may include calculating the fasting blood sugar dispersion range for each category using the following equation.

Range of fasting blood glucose dispersity by category = [median value of individual fasting glucose dispersity values - a * IQR of individual fasting glucose dispersity values, median value of individual fasting glucose dispersity values + a * IQR of individual fasting glucose dispersity values]

Here, a means a blood glucose coefficient.

In the calculating of the continuous blood glucose dispersion for each period, the continuous blood glucose dispersion for each period may be calculated using the following equation using continuous blood glucose data of the subject corresponding to each period.

Continuous blood glucose dispersion by cycle = continuous blood glucose data value corresponding to the top 25% - continuous blood glucose data value corresponding to the top 75%

The method may further include providing a warning alarm about eating habits or sleep patterns to the subject when the continuous blood glucose dispersion for all cycles of the subject is not included in the fasting blood glucose dispersion range of the category to which the subject belongs.

According to another embodiment of the present invention, in an apparatus for measuring fasting blood glucose using continuous blood glucose data, fasting blood glucose data according to gender, age, weight, average sleep time, and glycated hemoglobin of normal persons and diabetic patients are collected, and whether or not diabetes is present; Group by category according to sex, age, weight, average sleep time, and glycated hemoglobin level A fasting blood glucose dispersion range calculator that calculates the fasting blood glucose dispersity range for each category by using the variance, the biometric information is input from the subject, and the subject's The input unit for receiving continuous blood glucose data, calculates the continuous blood glucose dispersion for each cycle using the continuous blood glucose data of the subject, extracts the fasting blood glucose dispersion range of the category corresponding to the subject, and the continuous blood glucose dispersion of the subject a determination unit that determines whether the degree is included in the fasting blood glucose dispersion range of the corresponding category; and a fasting blood glucose data extractor configured to extract continuous blood glucose data measured in a period corresponding to the continuous blood glucose dispersion degree closest to the value as fasting blood glucose data.

As described above, according to the present invention, by extracting fasting blood glucose data from the subject's continuous blood glucose data at regular intervals, it is possible to determine whether the subject's fasting blood glucose level is high or at a normal level. .

1 is a view for explaining an apparatus for measuring fasting blood glucose using continuous blood glucose data according to an embodiment of the present invention.
2 is a diagram for explaining the configuration of an apparatus for measuring fasting blood glucose using continuous blood glucose data according to an embodiment of the present invention.
3 is a flowchart for explaining a method of calculating a fasting blood sugar dispersion section corresponding to each category according to an embodiment of the present invention.
FIG. 4 is an exemplary diagram for explaining step S310 of FIG. 2 .
5 is a flowchart illustrating a method for measuring fasting blood glucose using continuous blood glucose data according to an embodiment of the present invention.
6 is an exemplary diagram for explaining step S510 of FIG. 5 .

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art can easily carry out the present invention. However, the present invention may be embodied in several different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a part "includes" a certain element, it means that other elements may be further included, rather than excluding other elements, unless otherwise stated.

Then, with reference to the accompanying drawings, embodiments of the present invention will be described in detail so that those of ordinary skill in the art to which the present invention pertains can easily implement them.

Hereinafter, a fasting blood glucose measurement apparatus 100 using continuous blood glucose data according to an embodiment of the present invention will be described with reference to FIG. 1 .

1 is a view for explaining an apparatus for measuring fasting blood glucose using continuous blood glucose data according to an embodiment of the present invention.

As shown in FIG. 1 , the fasting blood glucose measurement apparatus 100 according to the embodiment of the present invention is connected to the continuous blood glucose meter 200 through a network.

First, the fasting blood glucose measurement apparatus 100 extracts the subject's fasting blood glucose data by using the subject's continuous blood glucose data measured through the continuous blood glucose meter 200 . The subject's continuous blood glucose variance is calculated, and the subject's fasting blood glucose data is extracted by applying the subject's continuous blood glucose variance to the fasting blood glucose variance section of the category to which the subject belongs.

Next, the continuous blood glucose meter 200 is attached to the subject's body and measures the subject's blood glucose at regular time intervals.

At this time, the continuous blood glucose meter 200 is implemented in the form of a patch and is attached to the subcutaneous fat such as the abdomen, arms, and buttocks, and the glucose concentration of the interstitial fluid (a liquid component filling between cells) is measured through a sensor attached to the patch. It can be implemented as a medical device that measures.

That is, the fasting blood glucose measurement apparatus 100 according to the embodiment of the present invention The continuous blood glucose dispersion of the subject is calculated using the continuous blood glucose data of the subject for each period measured through the continuous blood glucose meter 200, and the continuous blood glucose dispersion of the subject is applied to the fasting blood glucose dispersion section of the category to which the subject belongs. Extract the fasting blood glucose data of the subject.

Hereinafter, the configuration of the fasting blood glucose measurement apparatus 100 using continuous blood glucose data according to an embodiment of the present invention will be described with reference to FIG. 2 .

2 is a diagram for explaining the configuration of an apparatus for measuring fasting blood glucose using continuous blood glucose data according to an embodiment of the present invention.

As shown in FIG. 2 , the fasting blood glucose measurement apparatus 100 according to an embodiment of the present invention includes a fasting blood glucose dispersion range calculating unit 110 , an input unit 120 , a determining unit 130 , and a fasting blood glucose data extracting unit 140 and an alarm providing unit 150 .

First, the fasting blood glucose dispersion range calculator 110 collects fasting blood glucose data according to gender, age, weight, average sleep time, and glycated hemoglobin of normal and diabetic patients.

In addition, the fasting blood glucose dispersion range calculator 110 groups by category according to diabetes status, gender, age, weight, average sleep time, and glycated hemoglobin level, and fasting blood glucose data for a plurality of users grouped in the same category is used to calculate the individual fasting blood glucose dispersion.

In this case, the fasting blood sugar dispersion range calculator 110 may calculate the individual fasting blood sugar dispersion by applying the user's fasting blood sugar data corresponding to each category to the IQR.

Then, the fasting blood sugar dispersion range calculator 110 calculates the fasting blood sugar dispersion range for each category corresponding to each category by using the individual fasting blood sugar dispersion.

In this case, the fasting blood glucose dispersion range calculator 110 may calculate the fasting blood glucose dispersion range by applying the fasting blood glucose dispersion for each user included in the same category to the IQR.

Next, the input unit 120 receives biometric information from the subject, and receives continuous blood glucose data of the subject measured every n minutes at an m time period from the continuous blood glucose meter 200 .

In this case, the biometric information includes at least one of whether the subject is diabetic, gender, age, weight, sleep time, and glycated hemoglobin level.

In addition, the input unit 120 may use the continuous blood glucose data of the subject measured every 15 minutes at a 2-hour period from the continuous blood glucose meter 200, and the time period and the measurement period may be set differently by the administrator.

At this time, the continuous blood glucose meter 200 is attached to the arm, stomach, etc. of the subject to measure the subject's continuous blood glucose and transmitted to the fasting blood glucose measurement apparatus 100 .

Next, the determination unit 130 calculates the continuous blood glucose dispersion for each period by using the continuous blood glucose data of the examinee, and extracts the fasting blood glucose dispersion range of the category corresponding to the examinee.

Then, the determination unit 130 determines whether the continuous blood glucose dispersion of the subject is included in the fasting blood glucose dispersion range of the corresponding category.

If the subject's continuous blood glucose dispersion is included within the fasting blood glucose dispersion range of the corresponding category, the fasting blood glucose data extractor 140 performs a period corresponding to the continuous blood glucose dispersion degree closest to the lower limit of the fasting blood glucose dispersion range. The continuous blood glucose data measured in . is extracted as fasting blood glucose data.

That is, the fasting blood glucose data extraction unit 140 detects the continuous blood glucose dispersion for each cycle closest to the lower limit among the fasting blood glucose dispersion ranges corresponding to the biometric information of the examinee, and converts the continuous blood glucose data included in the cycle to the fasting blood glucose data. extracted with

On the other hand, when the continuous blood glucose dispersion for every cycle of the subject is not included in the fasting blood glucose dispersion range of the category to which the subject belongs, the alarm providing unit 150 provides a warning alarm about the eating habit or sleep pattern to the subject.

In this case, the alarm providing unit 150 may provide a warning alarm through the fasting blood glucose measurement apparatus 100 or provide a warning alarm to the examinee through the user terminal.

Hereinafter, a method of calculating a fasting blood glucose dispersion section corresponding to each category according to an embodiment of the present invention will be described with reference to FIGS. 3 and 4 .

3 is a flowchart for explaining a method of calculating a fasting blood sugar dispersion section corresponding to each category according to an embodiment of the present invention.

First, the fasting blood glucose measurement apparatus 100 according to an embodiment of the present invention collects fasting blood glucose data according to gender, age, weight, average sleep time, and glycated hemoglobin of normal and diabetic patients (S310).

FIG. 4 is an exemplary diagram for explaining step S310 of FIG. 3 .

As shown in FIG. 4 , data on whether or not diabetes, gender, age, weight, average sleep time, glycated hemoglobin level, and fasting blood glucose are collected for normal people and diabetic patients.

In this case, the user's fasting blood glucose data may be measured in units of 15 minutes, and the measurement period may be changed by the user.

Also, the fasting blood glucose measurement apparatus 100 may collect eight pieces of fasting blood glucose data measured for 2 hours in units of 15 minutes.

In addition, the fasting blood glucose measurement apparatus 100 according to an embodiment of the present invention groups users into categories according to the user's diabetes status, gender, age, weight, average sleep time, and glycated hemoglobin level (S320).

[ 41kg or more and less than 45kg], [45kg or more and less than 50kg], [50kg or more and less than 55kg], ?? Users can be grouped into categories according to [<3 hours], ??), and glycated hemoglobin level ([4.0% or more and less than 4.3%], [4.3% or more and less than 4.6%], ??_).

For example, category 1 includes diabetes status (example), gender (male), age (20s), weight ([41 kg or more and less than 45 kg]), average sleep time ([0 to less than 1 hour]), glycated hemoglobin ([4.0% or more and less than 4.3%]), category 2 includes diabetes (example), gender (male), age (20s), weight ([41kg or more and less than 45kg]), average sleep time ([0 more than 1 hour]), and glycated hemoglobin ([4.3% or more and less than 4.6%]).

In this way, the fasting blood glucose measurement apparatus 100 may group users by category.

Then, the fasting blood glucose measurement apparatus 100 calculates the individual fasting blood glucose dispersion by using fasting blood glucose data for a plurality of users grouped in the same category ( S330 ).

In this case, the fasting blood glucose measurement apparatus 100 applies the user's fasting blood glucose data corresponding to each category to the IQR and calculates the individual fasting blood glucose dispersion level through Equation 1 below.

Here, the fasting blood glucose measurement apparatus 100 calculates the individual fasting blood glucose dispersion by Equation 1 using the fasting blood glucose data of the first person in category 1, and uses the fasting blood glucose data of the second person in category 1 According to Equation 1, an individual fasting blood glucose dispersion degree can be calculated.

For example, assuming that the fasting blood glucose value (mg/dl) of the first person in category 1 is [70, 76, 64, 70, 70, 66, 65, 68], the fasting blood glucose value (mg/dl) of the first person in category 1 is The blood glucose dispersion degree can be calculated as 4.25 by Equation (1).

And, assuming that the fasting blood glucose value (mg/dl) of the second person in category 2 is [70, 67, 72, 62, 75, 67, 66, 65], the individual fasting blood sugar distribution of the second person in category 1 The degree can be calculated as 4.75 by Equation (1).

In this way, the fasting blood glucose measurement apparatus 100 calculates the individual fasting blood glucose dispersion by Equation 1 using the fasting blood glucose data of the x-th person.

Next, the fasting blood glucose measurement apparatus 100 according to an exemplary embodiment of the present invention calculates a fasting blood glucose dispersion range for each category corresponding to each category by using the individual fasting blood glucose dispersion degree ( S340 ).

In this case, the fasting blood glucose measurement apparatus 100 calculates the fasting blood glucose dispersity range for each category through the following Equation 2 by applying the user's individual fasting blood glucose dispersion degree included in the same category to the IQR.

Here, a denotes a blood sugar coefficient, and in the fasting blood sugar measurement apparatus 100 according to an embodiment of the present invention, a is set to 1.5 and may be set differently.

Then, the fasting blood glucose measurement apparatus 100 calculates a fasting blood glucose dispersity section of the corresponding category by Equation 2 by using the individual fasting blood glucose dispersity of each user included in the same category.

As described in steps S310 to S340, there is after calculating the fasting blood glucose dispersion section corresponding to each category.

Hereinafter, a method for measuring a subject's fasting blood sugar according to an embodiment of the present invention will be described with reference to FIGS. 5 and 6 .

5 is a flowchart illustrating a method for measuring fasting blood glucose using continuous blood glucose data according to an embodiment of the present invention.

First, the fasting blood glucose measurement apparatus 100 according to an embodiment of the present invention receives continuous blood glucose data of a subject measured every n minutes at an m time period from the continuous blood glucose meter 200 ( S510 ).

6 is an exemplary diagram for explaining step S510 of FIG. 5 .

As shown in FIG. 6 , the fasting blood glucose measurement apparatus 100 receives continuous blood glucose data measured every 15 minutes at a 2-hour period from the continuous blood glucose meter 200 .

According to FIG. 6 , two lines having the same color mean a start time and an end time of a section representing a 2-hour period, and 8 continuous blood glucose data measured in units of 15 minutes for 2 hours are obtained from the fasting blood glucose measurement apparatus 100 . is transmitted to

Then, the fasting blood glucose measurement apparatus 100 calculates the continuous blood glucose dispersion for each cycle by using the subject's continuous blood glucose data ( S520 ).

In this case, the fasting blood glucose measurement apparatus 100 may calculate the continuous blood glucose dispersion for each cycle through Equation 3 below using continuous blood glucose data of the subject corresponding to each cycle.

For example, assuming that the continuous blood glucose data (mg/dl) measured at 00:00 to 02:00 in the first interval is [74, 75, 78, 70, 72, 68, 63, 75], fasting The blood glucose measurement apparatus 100 may calculate the continuous blood glucose dispersion of the corresponding cycle as 5.5 by Equation 3 above.

In addition, assuming that the continuous blood glucose data (mg/dl) measured at 00:15 to 02:15 in the second interval is [75, 78, 70, 72, 68, 63, 75, 80], fasting blood glucose measurement The apparatus 100 may calculate the continuous blood glucose dispersion of the corresponding cycle as 6.25 by Equation 3 .

In this way, the fasting blood glucose measurement apparatus 100 calculates the continuous blood glucose dispersion from 22:00 to 24:00, which is the last section.

Next, the fasting blood glucose measurement apparatus 100 according to an embodiment of the present invention receives biometric information from the examinee and extracts a fasting blood glucose dispersion range corresponding to a category to which the subject belongs ( S530 ).

In this case, the biometric information includes at least one of whether the subject is diabetic, gender, age, weight, average sleep time, and glycated hemoglobin level.

For example, if the subject is a male diabetic patient in his twenties, weighs 43 kg, has an average sleep time of 1 hour, and has a glycated hemoglobin of 4.5%, since the subject falls into category 2 in the above example, measurement of fasting blood glucose The apparatus 100 may extract a fasting blood glucose dispersion range corresponding to category 2 to which the examinee belongs.

Next, the fasting blood glucose measurement apparatus 100 according to an embodiment of the present invention determines whether the continuous blood glucose dispersion of the subject is included in the fasting blood glucose dispersion range of the corresponding category ( S540 ).

Here, assuming that the fasting blood glucose dispersion range of the category to which the subject belongs is [2.62, 6.67], the fasting blood glucose measurement apparatus 100 determines that the subject's continuous blood glucose dispersion for each cycle calculated in step S520 is [2.62, 6.67]. to determine whether it is included in

And, when the subject's continuous blood glucose dispersion is included within the fasting blood glucose dispersion range of the corresponding category, the fasting blood glucose measurement apparatus 100 extracts the continuous blood glucose dispersion that is closest to the lower limit of the fasting blood glucose dispersion range, and extracts The continuous blood glucose data measured in the period corresponding to the continuous blood glucose dispersion degree is extracted as fasting blood glucose data (S550).

For example, among the continuous blood glucose data input for each section in step S510, continuous blood glucose data (mg/dl) in section i is [60, 62, 67, 65, 63, 64, 70, 62], and in section i It is assumed that the continuous blood glucose variance of

Then, the fasting blood glucose measurement apparatus 100 extracts the continuous blood glucose dispersion degree 3.5, which is closest to the lower limit value of 2.62, from among the fasting blood glucose dispersion ranges [2.62, 6.67].

And, the fasting blood glucose measurement apparatus 100 obtains [60, 62, 67, 65, 63, 64, 70, 62], which is continuous blood glucose data (mg/dl) in cycle i corresponding to a continuous blood glucose dispersion of 3.5. Extracted from fasting blood glucose data.

On the other hand, when all of the continuous blood glucose dispersion levels of the subject are not included within the fasting blood glucose dispersion range of the corresponding category, the fasting blood glucose measurement apparatus 100 provides a warning alarm for the day's eating habits or sleep patterns (S560)

In this case, the warning alarm may be provided to the user from the fasting blood glucose measurement apparatus 100 or may be provided to the user through the user terminal.

As described above, according to an embodiment of the present invention, by extracting fasting blood glucose data from the subject's continuous blood glucose data at regular intervals, it is possible to determine whether the subject's fasting blood glucose level is high and whether it is at a normal level, whereby the subject's accurate blood glucose level status can be identified.

Although the present invention has been described with reference to the embodiment shown in the drawings, which is merely exemplary, it will be understood by those skilled in the art that various modifications and equivalent other embodiments are possible therefrom. Accordingly, the true technical protection scope of the present invention should be determined by the technical spirit of the appended claims.

100: fasting blood glucose measurement device, 110: fasting blood glucose dispersion range calculator;
120: input unit, 130: judgment unit,
140: fasting blood glucose data extraction unit, 150: alarm providing unit,
200: continuous blood glucose meter

Claims (16)

In the fasting blood glucose measurement method using continuous blood glucose data,
The fasting blood glucose measurement device collects fasting blood glucose data according to gender, age, weight, average sleep time, and glycated hemoglobin of normal and diabetic patients;
Grouping by category according to diabetes status, gender, age, weight, average sleep time, and glycated hemoglobin level, and calculating the dispersity of fasting blood glucose for each individual using fasting blood glucose data for a plurality of users grouped in the same category;
calculating a fasting blood glucose dispersity range for each category corresponding to each category using the individual fasting blood glucose dispersity;
receiving continuous blood glucose data of a subject measured every n minutes with an m time period from a continuous blood glucose meter, and calculating a continuous blood glucose dispersion for each cycle using the continuous blood glucose data of the subject;
receiving biometric information from the subject, and extracting a fasting blood glucose dispersion range corresponding to a category to which the subject belongs;
determining whether the continuous blood glucose dispersion of the subject is included in the fasting blood glucose dispersion range of the corresponding category; and
When the continuous blood glucose dispersion of the subject is included within the fasting blood glucose dispersion range of the corresponding category, the fasting blood glucose A fasting blood glucose measurement method comprising the step of extracting data. According to claim 1,
The biometric information is
A method for measuring a fasting blood glucose comprising at least one of whether the subject is diabetic, gender, age, weight, average sleep time, and glycated hemoglobin level. According to claim 1,
The step of calculating the individual fasting blood sugar dispersion is,
A fasting blood glucose measurement method that calculates the individual fasting blood glucose dispersion by applying the user's fasting blood glucose data corresponding to each category to the IQR. 4. The method of claim 3,
The step of calculating the individual fasting blood sugar dispersion is,
A fasting blood glucose measurement method for calculating the individual fasting blood glucose dispersion for each user by using the following equation.
Dispersion of fasting blood glucose by individual = fasting blood glucose data value corresponding to the top 25% - fasting blood glucose data value corresponding to the top 75% According to claim 1,
Calculating the fasting blood glucose dispersion range for each category comprises:
A fasting blood glucose measurement method that calculates the fasting blood glucose dispersion range for each category by applying the individual fasting blood glucose dispersion of each user included in the same category to the IQR. 6. The method of claim 5,
Calculating the fasting blood glucose dispersion range for each category comprises:
A fasting blood glucose measurement method for calculating the fasting blood glucose dispersion range for each category using the following equation:
Fasting blood glucose dispersity range by category = [median of individual fasting glucose dispersity values - a * IQR of individual fasting glucose dispersity values, median of individual fasting glucose dispersity values + a * IQR of individual fasting glucose dispersity values]
Here, a means a blood glucose coefficient. According to claim 1,
The step of calculating the continuous blood glucose dispersion for each cycle comprises:
A fasting blood glucose measurement method in which continuous blood glucose dispersion for each cycle is calculated using the following equation using continuous blood glucose data of a subject corresponding to each cycle.
Continuous blood glucose dispersion by cycle = continuous blood glucose data value corresponding to the top 25% - continuous blood glucose data value corresponding to the top 75% According to claim 1,
When the continuous blood glucose dispersion for all cycles of the subject is not included in the fasting blood glucose dispersion range of the category to which the subject belongs, the method further comprising the step of providing a warning alarm about a dietary habit or sleep pattern to the subject Way. In the fasting blood glucose measurement apparatus using continuous blood glucose data,
Collect fasting blood glucose data according to gender, age, weight, average sleep time, and glycated hemoglobin of normal and diabetic patients, and group them into categories according to diabetes status, gender, age, weight, average sleep time, and glycated hemoglobin level, Fasting blood glucose dispersion for each individual is calculated using fasting blood glucose data for a plurality of users grouped in the same category, and fasting blood glucose dispersion range for each category corresponding to each category is calculated using the individual fasting blood glucose dispersion. blood sugar dispersion range calculator;
An input unit that receives biometric information from the subject and receives continuous blood glucose data of the subject measured every n minutes at an m time period from a continuous blood glucose meter;
The continuous blood glucose dispersion of the subject is calculated for each period by using the continuous blood glucose data of the subject, the fasting blood glucose dispersion range of the category corresponding to the subject is extracted, and the continuous blood glucose dispersion of the subject is the fasting blood glucose dispersion of the corresponding category A determination unit to determine whether it is included in the range, and
When the continuous blood glucose dispersion of the subject is included within the fasting blood glucose dispersion range of the corresponding category, the fasting blood glucose A fasting blood glucose measurement device comprising a fasting blood glucose data extractor for extracting data. 10. The method of claim 9,
The biometric information is
A fasting blood glucose measurement device comprising at least one of a subject's diabetes status, gender, age, weight, average sleep time, and glycated hemoglobin level. 10. The method of claim 9,
The fasting blood glucose dispersion range calculation unit,
A fasting blood glucose measurement device that calculates the individual fasting blood glucose dispersion by applying the user's fasting blood glucose data corresponding to each category to the IQR. 12. The method of claim 11,
The fasting blood glucose dispersion range calculation unit,
A fasting blood glucose measurement apparatus for calculating the individual fasting blood glucose dispersion for each user by using the following equation.
Dispersion of fasting blood glucose by individual = fasting blood glucose data value corresponding to the top 25% - fasting blood glucose data value corresponding to the top 75% 13. The method of claim 12,
The fasting blood glucose dispersion range calculation unit,
A fasting blood glucose measurement device that calculates a fasting blood glucose dispersion range by applying the user's individual fasting blood glucose dispersion within the same category to the IQR. 14. The method of claim 13,
The fasting blood glucose dispersion range calculation unit,
A fasting blood glucose measurement device that calculates the fasting blood glucose dispersion range for each category by using the following equation:
Fasting blood glucose dispersity range by category = [median of individual fasting glucose dispersity values - a * IQR of individual fasting glucose dispersity values, median of individual fasting glucose dispersity values + a * IQR of individual fasting glucose dispersity values]
Here, a means a blood glucose coefficient. 10. The method of claim 9,
The judging unit,
A fasting blood glucose measurement device that calculates the continuous blood glucose dispersion for each cycle through the following equation using continuous blood glucose data corresponding to each cycle.
Continuous blood glucose dispersion by cycle = continuous blood glucose data value corresponding to the top 25% - continuous blood glucose data value corresponding to the top 75% 10. The method of claim 9,
Fasting blood sugar further comprising an alarm providing unit for providing a warning alarm about eating habits or sleep patterns to the subject when the continuous blood glucose dispersion for all cycles of the subject is not included in the fasting blood glucose dispersion range of the category to which the subject belongs measuring device.

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