KR101500710B1 - Blood sugar level estimating appratus - Google Patents

Abstract

Disclosed is a method for predicting a blood glucose level to be decreased in accordance with aerobic exercise, a blood glucose level prediction apparatus for displaying a blood glucose level which is decreased according to a momentum in real time, and an aerobic exercise apparatus having the same.
The method for predicting a blood glucose level includes the steps of collecting exercise data related to the exercise amount and exercise and blood glucose data including exercise blood glucose measurement values before and after exercise and storing the collected exercise and blood glucose data in a first memory; Analyzing the exercise and blood glucose data stored in the first memory to predict the blood glucose change rate according to the exercise amount for each blood glucose interval; Extracting motion data according to a motion of a user; And estimating the expected blood glucose level according to the exercise amount in real time by referring to the exercise blood glucose measurement value, the exercise data extracted according to the exercise performance, and the blood glucose change rate of each blood glucose interval.

Description

Blood sugar level estimating appratus

The present invention relates to a blood glucose level display apparatus, and more particularly, to a blood glucose level prediction apparatus for predicting a blood glucose level to be decreased in accordance with aerobic exercise, a blood glucose level prediction apparatus for displaying a blood glucose level decreased in accordance with a exercise amount in real time, and an aerobic exercise apparatus having the same .

BACKGROUND ART Aerobic exercise devices such as a running machine and a cycling machine in the past provide biometric information such as calorie consumption and heart rate as well as exercise distance, exercise time and exercise intensity when a user starts exercising. However, since the calorie according to distance and exercise type is displayed by simply installing an encoder in a motor or a rotary shaft in an aerobic exercise device without considering different weight, elongation, exercise intensity, etc. for each user, accuracy of biometric information such as calorie consumption Is not guaranteed.

There are also various conventional techniques for measuring and predicting blood glucose. The blood glucose measurement method is a blood glucose measurement method in which blood is extracted from a blood sample by dropping it on a test paper and blood glucose is measured according to the amount of reflected or transmitted light by using body fluids such as tears or near infrared rays A noninvasive blood glucose measurement system is used.

When a user measures blood glucose using a conventional invasive blood glucose meter, the user first extracts blood using a blood sampling needle, inserts a disposable test paper into the blood glucose meter, and drops blood on the test paper to measure blood glucose.

The blood glucose meter measures the amount of blood glucose by analyzing the amount of reflected light by emitting light to the test paper on which the blood is absorbed, and the amount of electrons generated by the amount of glucose component in the blood glucose component depending on the reaction between the enzyme and the blood An electrochemical method of measuring the glucose level by measuring the amount of test paper using the principle that is wrong is mainly used.

Non-invasive blood glucose measurement methods measure the amount of blood glucose in the blood by measuring the blood through the eyes such as tears and analyzing the spectrum of the transmitted or reflected wavelength by projecting near infrared rays on the skin.

On the other hand, an adaptive mathematical model regarding the patient's diet, medication, and physical activity is formulated and an adaptive mathematical model for the patient's blood glucose level trend is formulated to provide predicted blood glucose level values for the patient, There is a prior art that provides a means for the patient to look at predictions using the mathematical model so that the results can be monitored and predicted.

Also, it is possible to determine the similarity of the blood glucose change pattern by comparing the blood glucose information obtained from the user with a plurality of previously stored blood glucose information, extract at least one or more blood glucose information from the plurality of stored blood glucose information according to the determined similarity, And the like.

However, these conventional techniques do not directly help the patients suffering from metabolic syndrome such as diabetes, when using exercise therapies, and can measure the blood glucose values after fasting, pre- and postmeal, and exercise and record them in a storage device or portable information device, It has a disadvantage that it does not provide any practical help because it only obtains the blood glucose pattern through the predicted value.

SUMMARY OF THE INVENTION The present invention has been made to solve at least some of the above problems, and it is an object of the present invention to provide a method for predicting a change in blood glucose level according to aerobic exercise in real time.

It is another object of the present invention to provide an apparatus suitable for the above method.

It is still another object of the present invention to provide an aerobic exercise device that allows a user to continue exercising until a target blood glucose level is reached by calculating and estimating anticipated blood glucose levels that decrease with aerobic exercise in real time.

According to an aspect of the present invention,

Collecting exercise data relating to exercise amount and exercise and blood glucose data including exercise blood glucose measurement values before and after exercise and storing the collected exercise and blood glucose data in a first memory;

Analyzing the exercise and blood glucose data stored in the first memory to predict the blood glucose change rate according to the exercise amount for each blood glucose interval;

Extracting motion data according to a motion of a user; And

Calculating a predicted blood glucose level according to the exercise amount in real time with reference to a pre-exercise blood glucose measurement value, exercise data extracted according to exercise performance, and blood glucose change rate of each blood glucose interval;

And a control unit.

Here, the process of predicting the blood glucose change rate according to the exercise amount

The distribution range of blood glucose measurement values is divided into a plurality of intervals in the collected exercise and blood glucose data, the rate of change in blood glucose predicted by each interval is calculated for each exercise and blood glucose data, It is preferable to calculate the change rate of blood glucose per section by collecting the rate of change in predicted blood glucose per section.

Here, it is preferable to display the target blood glucose level and the expected blood glucose level that were input before the exercise together.

The method further includes the step of inputting the blood glucose measurement value after completion of the exercise and creating exercise and blood glucose data including the exercise data extracted during the exercise, the blood glucose measurement value before exercise, and the blood glucose measurement value after exercise, and adding the same to the first memory .

Preferably, the method further includes the step of re-predicting the blood glucose change rate of each section when the exercise and blood glucose data are added to the first memory.

According to another aspect of the present invention,

A first memory for storing exercise data related to exercise quantity and exercise and blood glucose data having exercise blood glucose measurement values before and after exercise;

A blood glucose change rate predicting unit for predicting a blood glucose change rate according to a momentum from the exercise and blood glucose data stored in the first memory;

An input unit for receiving blood glucose measurement values before exercise;

A parameter extracting unit for extracting motion data according to exercise;

A blood glucose change rate calculating unit for calculating an expected blood glucose level according to the exercise amount with reference to the blood glucose measurement value before exercise, the exercise data extracted by the parameter extracting unit, and the blood glucose change rate of each interval predicted by the blood glucose change rate predicting unit, ; And

A display unit for displaying the expected blood glucose level; .

The present invention provides a function of predicting and displaying a blood glucose change amount in real time according to exercise type and exercise intensity while a patient suffering from metabolic syndrome such as diabetes is walking, running, and swimming in an aerobic exercise device and outdoor .

Accordingly, the user can continuously perform the exercise up to the target blood glucose level.

In order to increase the accuracy of the expected blood glucose level, the blood glucose level is measured by using the blood glucose measurement data before and after the exercise for a certain period of time as training data.

Further, even after the training period has ended, the training data can be updated by inputting blood glucose measurement values into the present invention through blood collection after exercise.

1 shows a configuration of a blood glucose prediction apparatus according to the present invention.
Fig. 2 shows the operation of the blood glucose prediction apparatus shown in Fig.
FIG. 3 schematically shows the calculation process of the blood glucose change rate predicting unit shown in FIG.
FIG. 4 shows a format of data stored in a user information field and a motion log field stored in the first memory unit in the apparatus shown in FIG.
FIG. 5 shows the format of data stored in the memory unit shown in FIG.
Fig. 6 shows an embodiment of the parameter extracting unit shown in Fig.
FIG. 7 shows a format of data stored in the third memory unit shown in FIG.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

The method of predicting blood glucose according to the present invention provides an estimate of blood glucose that is decreased according to the amount of exercise with reference to the exercise amount and blood glucose measurement values before and after exercise.

Specifically,

1 shows a configuration of a blood glucose prediction apparatus according to the present invention.

1, a blood glucose prediction and display apparatus 100 according to the present invention includes an input unit 10, a control unit 20, a display unit 30, a parameter extraction unit 40, a blood glucose predicting unit 50, (60).

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The input unit 10 inputs a name, a sex, an age, a weight, an elongation, a target blood glucose level and a type of exercise performed, a pre-exercise blood glucose level, a post-exercise blood glucose level, and a control signal.

The memory unit 60 includes a first memory 24, a second memory 25, and a third memory 26. The first memory 25 stores exercise and blood glucose data having parameters and blood glucose measurements before / after exercise. Exercise and blood glucose data are divided into training data and adaptive data. .

In the present invention, training data is a kind of exercise and blood glucose data having parameters related to the exercise amount and blood glucose values before and after exercise, and is collected during a certain period of time and input through the input unit 10.

Meanwhile, the adaptive data in the present invention is a kind of exercise and blood glucose data having a parameter related to the amount of exercise and a blood glucose measurement value before and after the exercise. Particularly, the adaptive data according to the present invention includes a parameter extracted by the parameter extracting unit 40, 10) that have blood glucose measurements before and after exercise.

The blood sugar predicting unit 50 includes a blood glucose change rate predicting unit 52 and a blood glucose change rate calculating unit 54. [ The blood glucose change rate predicting unit 52 predicts a blood glucose change rate of each blood glucose interval based on the exercise and blood glucose data input by the user. The exercise and blood glucose data input by the user are stored in the first memory unit 62 as training data. The blood glucose change rate predicting unit 52 predicts a blood glucose change rate of each blood glucose interval by referring to the training data stored in the first memory 62.

The blood glucose change rate predicting unit 52 predicts the blood glucose change rate according to the exercise amount with reference to the training data stored in the first memory unit 52. Specifically, the maximum and minimum values of pre-exercise and post-exercise blood glucose levels are divided into several blood glucose intervals having the same size (interval size), and the amount of blood glucose change is predicted according to the exercise type and exercise distance.

The second memory unit 54 stores the predicted blood glucose change rate per blood glucose range according to the exercise type and the exercise intensity in the blood glucose change rate predicting unit 52. In the second memory 54, the rate of change in blood glucose per blood glucose interval according to the type of exercise is stored.

The parameter extracting unit 40 extracts parameters used for predicting the relationship between exercise and blood sugar such as the kind of exercise (kind of exercise), exercise time, exercise distance, exercise intensity (= exercise distance / exercise time) do.

The blood glucose change rate calculation unit 54 calculates an expected blood glucose level according to the exercise amount in real time based on the blood glucose change rate per blood glucose interval stored in the blood glucose change rate predicting unit 52 and the parameters extracted from the parameter extracting unit 22.

The display unit 30 displays the estimated blood glucose level calculated from the blood glucose change rate calculator 28. [ The display unit 30 is implemented by a 7-segment display, an LCD, or the like.

The third memory unit 66 stores the exercise date and type of exercise, exercise distance, exercise intensity, pre-exercise blood glucose and predicted post-exercise blood glucose.

Fig. 2 shows the operation of the blood glucose prediction apparatus shown in Fig.

First, the user information such as the user name, sex, age, weight, height, and target blood sugar is inputted through the input unit 10 and stored in the user information field of the first memory unit 62. (s202)

The pre-exercise blood glucose level and the post-exercise blood glucose level are measured using a blood collection device and an autologous blood glucose level for a predetermined period of time, and are input through the input unit 10 as training data together with the parameters. (s204)

Specifically, each time the exercise is performed, exercise data (parameters) such as exercise type, exercise time, exercise distance, exercise intensity, and pre-exercise blood glucose measurement values measured using a blood glucose meter and post-exercise blood glucose measurement values And the training data is stored in a database in the exercise journal field of the first memory unit 62. [ Here, the exercise data refers to data related to exercise, and the parameter refers to a set of things that can affect blood glucose change among the exercise data.

Using the training data stored in the exercise journal field in the first memory 62, the blood glucose change rate predicting unit 52 predicts the blood glucose change rate depending on the exercise type and the exercise intensity (s206)

The operation of the blood glucose change rate predicting unit 52 may be divided into a blood glucose change rate calculating mode and an update mode. In the blood glucose change rate calculation mode, the blood glucose change rate predicting unit 52 calculates the blood glucose change rate of each blood glucose range based on the exercise and blood glucose data stored in the first memory 62 and stores the result in the second memory 64.

On the other hand, in the update mode, the blood glucose change rate predicting unit 52 updates the blood glucose change rate per blood glucose interval stored in the second memory 64 by reflecting the parameter obtained by the parameter calculating unit 40, the pre-exercise blood glucose measurement value and the post- do.

The operation of the blood glucose change rate predicting unit 52 in the blood glucose change rate calculating mode is performed as follows.

First, it is assumed that N pieces of training data (H1 to Hn) are stored in the first memory 62.

FIG. 3 schematically shows the calculation process of the blood glucose change rate predicting unit shown in FIG.

Referring to FIG. 3, the blood glucose change rate predicting unit 52 obtains the blood glucose predictive change rate of each blood glucose prediction interval for each of the training data stored in the first memory unit 62, and refers to the obtained blood glucose predictive rate of change Predict blood glucose change rate by blood glucose interval.

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The blood glucose change rate predicting unit 52 calculates the blood glucose change predicted by the blood glucose level predictor 52 based on the blood glucose measurement values before and after the exercise of the training data stored in the exercise journal field of the first memory unit 62 Set up multiple intervals (blood glucose intervals).

There are different intensity of exercise to lower the blood sugar value according to the amount of blood sugar in the human body. That is, when the blood glucose level is high, the blood glucose level is rapidly lowered by only a small exercise amount, and when the blood glucose level is low, more exercise amount is required to be lowered to the same level. In the present invention, the concept of the rate of change in blood glucose per a blood glucose prediction interval is used as an application for correcting the blood glucose.

N blood glucose prediction intervals are set between the maximum value and the minimum value in the distribution range of the blood glucose measurement included in the training data. The size of each blood glucose prediction interval is (maximum blood glucose measurement - minimum blood glucose measurement) / N (where N is an integer of 1 or more).

For example, if the maximum blood glucose measurement value of the training data is 300 and the minimum blood glucose measurement value is 81, and the blood glucose range is 300 ~ 291, 290 ~ 281, ..., The same 28 blood glucose prediction intervals are set.

The amount of blood sugar change is predicted separately according to exercise type, exercise distance and exercise intensity for each blood glucose prediction region.

In order to predict the rate of change of the predicted blood glucose level for each training data for each training data, the exercise distance is firstly divided by the predicted blood glucose level as shown in equation (1). When the exercise is performed at the same speed during the whole exercise time, the exercise distance by the blood sugar prediction interval is a value divided by the number of the blood glucose prediction intervals including the total exercise distance.

- - - (1)

- - - (One)

Next, the amount of change in blood glucose per predicted blood glucose level is obtained as shown in equation (2).

- - -(2)

- - -(2)

Therefore, the blood glucose predictive change rate by the blood glucose prediction interval can be obtained by dividing the blood glucose change rate by the blood glucose prediction interval and the exercise distance by the blood glucose prediction interval, as shown in equation (3).

- - -(3)

- - - (3)

For example, in the nth training data, the blood glucose values before and after exercise were 300 and 251, respectively, and when the total exercise distance and exercise intensity were 2.5 Km and 6 Km / h respectively, 300 to 291, 290 to 281, 280 to 271, 261 and 260 ~ 251, the exercise distance of each blood glucose prediction interval is obtained as 0.5 Km divided by 5 intervals of 2.5 Km, and the blood glucose change rate by the blood glucose prediction interval is (300-251) / 5 = 10 .

In the nth training data, the rate of change of predicted blood glucose per each blood glucose predicted interval is 10 / 0.5Km = 20, which means that 1 / 20Km or 50m of exercise distance is required to decrease blood glucose by 1. Since the exercise intensity is equal to 6 Km / h, it is calculated equally in all the 300 to 251 sections. This process is repeated to calculate the amount of change in blood glucose per blood glucose interval.

Next, the blood sugar change rate predicting unit 21 calculates an average blood glucose change rate per blood glucose interval using an average calculation method as shown in equation (4) or a formula for giving weight to recent data such as equation (5).

- - - (4)

- - - (5)

In Equation (4) and Equation (5), n represents the number of valid data for each blood glucose prediction interval. In the case of equation (5), α _i means the weighting rate, and the sum is 1. The weighting rate α _i can be set higher for the latest training data. In addition to equation (4) or equation (5), various adaptive probability models can be used to predict the mean blood glucose change rate by interval.

The average blood glucose change rate per section obtained as the calculation result of the blood glucose change rate predicting unit 52 is stored in the second memory unit 64. [

Referring again to FIG. 2, the blood glucose level before exercise is measured and inputted through the input unit 10. (s208)

The blood glucose change rate calculation unit 54 calculates the blood glucose decrease rate according to the average blood glucose change rate and the exercise distance according to the interval stored in the second memory unit 64. The blood glucose change rate calculator 52 calculates the blood glucose change rate from the average blood glucose change rate per section stored in the second memory unit 64, starting from the blood glucose predicted interval, Distance, intensity of exercise, etc. (s210).

Since the average blood glucose change rate per interval, which represents the exercise distance required for dropping blood sugar 1 by the blood sugar prediction interval, is stored in the second memory unit 64, the real time exercise distance transmitted from the parameter extraction unit 40 It is possible to predict a blood glucose level to be reduced by exercise. If the exercise distance extracted through the parameter extracting unit 40 exceeds the exercise distance required for dropping the blood glucose level 1, a value obtained by decreasing the expected blood glucose level by one is displayed through the display unit 20. (s212 to s218)

In this way, the expected blood glucose level according to the exercise distance is calculated in the blood glucose prediction interval while the exercise is continued. If the interval to which the expected blood glucose level belongs is changed to the lower blood glucose prediction interval, the blood glucose level 1 in the changed blood glucose prediction interval is decreased Continue to calculate the expected blood glucose level based on the exercise distance required to lift.

The display unit 10 displays an expected blood glucose level corresponding to the exercise distance calculated in real time from the blood glucose change rate calculator 54 on the screen.

When the exercise is completed, the third memory unit 66 stores the exercise date and exercise type, exercise intensity, pre-exercise blood glucose level and predicted exercise blood glucose level. (s220 to s222)

After the exercise is completed, blood glucose is measured through blood collection, and the measured blood glucose level is inputted through the input unit 10, and the corresponding details are added to the exercise journal field of the first memory unit 62 (s224)

When new parameters and exercise data are added to the exercise journal field of the first memory unit 62, the blood glucose change rate predicting unit 52 operates in the update mode.

In the update mode, the blood glucose change rate predicting unit 52 predicts blood glucose level per unit blood glucose level from the existing exercise and blood glucose data stored in the first memory 62 and the parameters and blood glucose data stored in the third memory 66, And the average blood glucose change rate per blood glucose interval stored in the second memory unit 64 is updated as a result.

This update mode is also necessary for matching the blood glucose prediction performance with the characteristic of the parameter extracting unit 40 in addition to reflecting the improvement by the exercise effect.

That is, the training data input during the training period may not reflect the parameters extracted by the parameter extracting unit 40 provided in the blood glucose prediction and display apparatus according to the present invention. For example, it may reflect personal experience or parameters extracted using other measuring instruments.

Accordingly, the parameter extracted by the parameter extracting unit 40 is reflected in the parameter and the exercise data stored in the first memory 62, and the blood glucose change rate of each blood glucose interval is updated based on the parameter, thereby eliminating the inconsistency.

FIG. 4 shows a format of data stored in a user information field and a motion log field stored in the first memory unit in the apparatus shown in FIG.

Referring to FIG. 4, the input unit 10 receives user information including a user name, sex, height, weight, and target blood sugar, pre-exercise blood glucose measurement, post-exercise blood glucose measurement, and various control inputs. The control input may include whether to input training data, whether to start the update mode, whether to monitor the exercise history, and the like.

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The input unit 10 receives data directly through a keyboard (not shown) and transmits the data through the serial interface. The transmitted data is stored in the user information field of the first memory unit 62.

Also, the training data used for predicting the blood glucose during exercise or the application data generated after the exercise is stored in the exercise log field of the first memory unit 62.

FIG. 5 shows the format of data stored in the memory unit shown in FIG.

Referring to FIG. 5, the blood glucose change rate predicting unit 52 includes an interval generating unit 52a and an interval-based rate-of-change predicting unit 52b. The interval generation unit 52a divides the distribution range of the blood glucose measurement value into N sections having the same size based on the blood glucose measurement values before and after the inputted exercise. The interval-based predictive rate-of-change predicting unit 52b obtains a function of the exercise distance required to drop the blood glucose level 1 for each interval using the average blood glucose change rate function for each interval or the adaptive blood glucose change rate function for each interval, As shown in FIG. 5, according to the type of exercise and the exercise period.

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Fig. 6 shows an embodiment of the parameter extracting unit shown in Fig.

The present invention can be applied not only to aerobic exercise equipment in the room such as a running machine and a cycling machine but also to outdoor aerobic exercise such as walking, running, and swimming.

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To this end, the parameter extracting unit 40 includes a timer 42 for measuring the exercise time, exercise distance, and exercise intensity during exercise using the indoor aerobic exercise machine, a timer 42 and a rotary shaft such as a pedal or an encoder 44 And the photosensor 46 were mounted as shown in Fig. The moving speed meter 48 receives the moving time by the timer 42 and the moving distance by the photosensor 44 to calculate the moving speed. The exercise time, the exercise distance, and the exercise intensity (exercise distance / exercise time) are provided to the blood glucose change rate calculation unit 54 via a wireless or wired interface.

In order to measure exercise time, exercise distance, and exercise intensity in the outdoors, GPS (74) or a base station location tracker (76) for measuring the distance by using the base station distance of the mobile phone is used The exercise distance is measured and the exercise time is measured by the timer 72 and the exercise speed meter 78 to calculate the exercise speed as an equation and transmitted to the blood glucose change rate calculator 54 via the wireless or wired interface.

FIG. 7 shows a format of data stored in the third memory unit shown in FIG.

The blood sugar change rate calculation unit 54 receives the pre-exercise blood glucose measurement value through the input unit 10 first. Thereafter, the blood glucose reduction rate according to the exercise distance in real time is calculated according to the blood glucose reduction rate according to the exercise type stored in the second memory 64 and the exercise distance transmitted from the parameter extraction unit 40. Further, the blood glucose reduction rate is transmitted to the display unit, and the estimated blood glucose level according to the exercise is displayed on the external display in real time.

When the exercise is completed, the exercise date, exercise type, exercise intensity, pre-exercise blood glucose level, and post-exercise blood glucose level are stored in the third memory unit 64. If blood glucose is measured by the post-exercise blood glucose meter, it is inputted through the keyboard to input detailed information about the new exercise into the exercise journal field of the first memory unit 62, and the entry added by the blood glucose change rate calculator 54 And stores the changed value in the second memory unit 64 for each blood glucose prediction interval.

On the other hand, it is possible to monitor the blood glucose change amount that the user changes through exercise using the blood glucose measurement values stored in the first memory 66, and to monitor the blood glucose change trend by the exercise frequency.

The blood glucose prediction and display apparatus according to the present invention as shown in FIG. 1 may be installed in an aerobic exercise machine or may be provided in an aerobic exercise machine.

The aerobic fitness device may be a cycle, a cycle machine, a treadmill, a pedometer, or the like, and may be implemented in the form of a portable terminal having a position tracking device as another example.

10 ... input unit 20 ... control unit
30 ... display unit 40 ... parameter extracting unit
50 ... blood glucose predicting unit 60 ... memory unit
52 ... blood glucose change rate predicting unit
54 ... blood glucose change rate calculation unit

Claims (16)

delete delete delete delete delete delete delete delete delete A first memory for storing exercise data related to exercise quantity and exercise and blood glucose data having exercise blood glucose measurement values before and after exercise;
A blood glucose change rate predicting unit for predicting a blood glucose change rate of each blood glucose range according to the exercise amount from the exercise and blood sugar data stored in the first memory;
An input unit for receiving blood glucose measurement values before exercise;
A parameter extractor for extracting the exercise data according to the exercising and extracting the exercise time, the exercise distance, and the exercise intensity (= exercise distance / exercise time) as the exercise data;
Calculating a blood glucose change rate for calculating an expected blood glucose level according to the exercise amount with reference to the blood glucose measurement value before exercise, the exercise data extracted by the parameter extraction unit, and the blood glucose change rate of each blood glucose range predicted by the blood glucose change rate prediction unit, part;
A display unit for displaying the predicted blood glucose level;
A timer, an encoder mounted on a rotary shaft of an aerobic exercise machine, a photosensor detecting rotation of the encoder, and a motion intensity calculator connected to the timer and the photosensor to calculate the exercise intensity;
A second memory for storing the predicted blood glucose change rate per section predicted by the blood glucose change rate predicting unit and providing the stored blood glucose change rate to the blood glucose change rate calculating unit; And
A third memory for storing a motion parameter extracted by the parameter extracting unit and a blood glucose value predicted by the blood glucose change rate calculating unit after the end of exercise;
/ RTI >
And a controller for adding motion and blood glucose data having a motion parameter, a pre-exercise blood glucose measurement value, and a post-exercise blood glucose measurement value extracted by the parameter extraction unit to the first memory when the exercise blood glucose measurement value is input by the input unit,
Wherein the blood glucose change rate predicting unit re-predicts the blood glucose change rate per section when the exercise and blood glucose data are added to the first memory, and stores the predicted blood glucose change rate in the second memory.
11. The method of claim 10,
Further receives a target blood glucose level through the input unit,
Wherein the display unit displays the target blood glucose level and the predicted blood glucose level together, wherein the display unit displays the target blood glucose level and the predicted blood glucose level together.



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