JP5598278B2 - Exercise support method, exercise support device, and exercise support system - Google Patents

Description

  The present invention relates to an exercise support method and an exercise support system.

  Conventionally, exercise therapy has been effective as one of the methods for preventing, improving, and treating lifestyle-related diseases such as diabetes. It is known that an appropriate amount of exercise needs to be performed in order to effectively exercise exercise therapy. Users who are aiming to prevent, ameliorate, or treat lifestyle-related diseases (life-style disease patients or lifestyle-related disease reserve forces) often use subjective judgments, such as adverse effects caused by excessive exercise. Sometimes it brings. Vital data such as a user's blood sugar level, blood pressure, and pulse is measured, and when an abnormality such as an adverse effect occurs in the user, the contents to be notified together with the user's position information are disclosed (for example, Patent Document 1 and 2).

JP 2005-501576 A JP 2005-538784 A

  However, for the purpose of preventing, improving, or treating lifestyle-related diseases, consumption by exercise, etc., to effectively exercise exercise therapy without causing abnormalities such as adverse effects due to excessive exercise, for example. There is a problem of predicting changes in calories and blood sugar levels (increase and decrease), and notifying and recognizing the user of an appropriate amount of exercise or an appropriate exercise content.

  The present invention has been made to solve at least a part of the above problems. It can be realized by the following forms or application examples.

  Application Example 1 An exercise support method according to this application example includes a position information acquisition step of acquiring current position information of a user's current position, and a destination information acquisition step of acquiring destination information of the user's destination. A user information acquisition step of acquiring blood glucose level information and action history of the user, a target calorie consumption determining step of determining a target calorie consumption of the user based on the blood glucose level information and the action history, and the target A route determination step for determining a route from the current position to the destination based on the calorie consumption, the blood glucose level information, and the action history, and the user moving from the current location to the destination The gist of the present invention is to include a pulse measurement step for constantly measuring the pulse.

  According to this, in the route determination step, the user moves from the current position to the destination by the route determined based on the target calorie consumption, blood glucose level information, action history, etc. It is possible to reach the ground and perform appropriate exercise in the pulse range for aerobic exercise, for example, and consume the target calorie consumption determined by the target calorie consumption determination step.

  Application Example 2 In the exercise support method according to the application example, the route determination step includes a plan information acquisition step of acquiring the plan information of the user, the plan information, the target calorie consumption, the blood glucose level information, It is preferable that a route for moving from the current position to the destination is determined based on the action history.

  According to this, since the user moves from the current position to the destination by the route determined in consideration of the plan information acquired in the plan information acquisition step, the user can reach the destination by the required arrival time, and the target consumption The target calorie consumption determined by the calorie determination step can be consumed.

  Application Example 3 In the exercise support method according to the application example described above, in the route determination step, weather information acquisition for acquiring weather information on the current position, the destination, and a route moving from the current position to the destination It is preferable that a route for moving from the current position to the destination is determined based on the weather information, the plan information, the target calorie consumption, the blood glucose level information, and the action history.

  According to this, by taking into account the weather information acquired in the weather information acquisition step, even in the case of bad weather such as rain or strong wind, the target position can be changed from the current position by a route with a roof such as an underground passage or an underground street. Since it moves to the ground, the user can reach the destination by the required arrival time and can consume the target calorie consumption.

  Application Example 4 The exercise support system according to this application example includes a position information acquisition unit that acquires current position information of a user's current position and destination information of the user's destination, blood glucose level information and behavior of the user User information for acquiring a history, an analysis unit for determining the target calorie consumption of the user based on the blood glucose level information and the action history, and constantly measuring the pulse of the user moving from the current position to the destination A pulse measuring unit that performs the determination, and the analysis unit determines a route from the current position to the destination based on the target calorie consumption, the blood glucose level information, and the action history. And

  According to this, since the analysis unit determines a route to move from the current position to the destination based on the target calorie consumption, blood glucose level information, and action history, the user moves from the current position to the destination. In addition, for example, appropriate exercise can be performed within the pulse range for aerobic exercise, and target calorie consumption can be consumed.

  Application Example 5 In the exercise support system according to the application example, the exercise support system includes a plan information acquisition unit that acquires the plan information of the user, and the analysis unit includes the plan information, the target calorie consumption, the blood glucose level information, and It is preferable to determine a route for moving from the current position to the destination based on the action history.

  According to this, since the user moves from the current position to the destination by the route determined in consideration of the plan information acquired by the plan information acquisition unit, the user can reach the destination by the arrival time, and the target calorie consumption Can be consumed.

  [Application Example 6] The exercise support system according to the application example includes a weather information acquisition unit that acquires weather information on the current position, the destination, and a route moving from the current position to the destination. It is preferable that a route for moving from the current position to the destination is determined based on the weather information, the plan information, the target calorie consumption information, the blood glucose level information, and the action history.

  According to this, by considering the weather information acquired by the weather information acquisition unit, a route with a roof such as an underground passage or an underground shopping street is determined even in the case of bad weather such as rain or strong wind. As a result, the user moves from the current position to the destination, so that the user can reach the destination by the required arrival time and can consume the target calorie consumption.

The schematic block diagram which shows an example of a structure of the exercise | movement assistance system of 1st Embodiment. The schematic block diagram which shows an example of a structure of the exercise | movement assistance system of 1st Embodiment. The flowchart which shows an example of operation | movement of the exercise assistance system of 1st Embodiment. The schematic route figure showing the example of the route determined by the exercise support system of a 1st embodiment. The function block diagram centering on the function of the control part of the exercise assistance system of 1st Embodiment. The figure which shows an example of the 1st prediction curve and 2nd prediction curve in 1st Embodiment. The flowchart which shows an example of operation | movement of the blood glucose level prediction method of 1st Embodiment. The schematic block diagram which shows the structure of the exercise assistance system of 2nd Embodiment.

  Hereinafter, examples of preferred embodiments of the exercise support method and the exercise support system 10 of the present invention will be described.

(First embodiment)
Hereinafter, an exercise support method and an exercise support system 10 of the first embodiment will be described with reference to FIGS. 1 and 2.

  As shown in FIG. 1, the exercise support system 10 is configured to be worn on a user's wrist or the like, and includes a pulse meter 50 and a portable terminal 60 such as a cellular phone. The pulsometer 50 and the portable terminal 60 are configured to perform wired or wireless communication.

  As shown in FIG. 2, the exercise support system 10 includes a control unit 110, an activity amount measurement unit 120, an operation unit 130, a display unit 150, a timekeeping unit 160, a position information acquisition unit 180, a plan information acquisition unit 185, and weather information acquisition. Unit 190, storage unit 140, and pulse measurement unit 170.

1 includes a control unit 110, an activity amount measurement unit 120, an operation unit 130, a display unit 150, a timing unit 160, a position information acquisition unit 180, a plan information acquisition unit 185, and weather information illustrated in FIG. An acquisition unit 190 and a storage unit 140 are provided.
The pulse meter 50 shown in FIG. 1 includes the pulse measuring unit 170 shown in FIG.

  The control unit 110 includes a CPU (Central Processing Unit), a ROM (Read Only Memory), and a RAM (Random Access Memory) memory, and executes a control program stored in the ROM in advance using the RAM as a working area. Each unit connected to the control unit 110 is controlled.

The activity amount measuring unit 120 obtains calorie consumption consumed by the user, and sends the obtained calorie consumption to the control unit 110 as consumption energy information. The activity amount measuring unit 120 includes, for example, an acceleration sensor and an atmospheric pressure sensor for detecting the user's movement state, and defines in advance an output signal from the sensor detected by the user's walking or movement. Convert to calories burned using the calculated formula.
In addition, in order to obtain calorie consumption accurately, biological information such as pulse, pulse wave, pulse wave R-R interval heartbeat, body temperature, electrocardiogram, blood pressure, sleep time, bioimpedance, optical detection, electrical signal detection, pressure detection, etc. You may detect using.

  For example, the operation unit 130 includes an operation button group having input keys such as numbers and characters, and sends an operation signal corresponding to the input key operated by the user to the control unit 110. In the present embodiment, in particular, the operation unit 130 accepts input of measured blood glucose level data of the user, meal content (meal menu) consumed by the user, meal information indicating calorie intake, and exercise content performed by the user. It also accepts input of data such as exercise information indicating calorie consumption, the user's current location, and destination (destination).

The display unit 150 includes a display device such as a liquid crystal display, and displays various images such as an input screen for meal information and exercise information, a blood sugar level prediction curve, and map information 213 under the control of the control unit 110.
The timer unit 160 counts a predetermined clock and measures time (time information).

The position information acquisition unit 180 includes, for example, a GPS (Global Positioning System), current position information of a user's current position, destination information of a user's destination (destination), and a destination based on the current position, the destination, and the current position. Map information 213 such as a route moving to the ground is acquired. Also, the time (time information) at the current position may be acquired from the GPS. In addition, the position information acquisition unit 180 determines a route from the current position to the destination based on the weather information, plan information, target calorie consumption, blood glucose level information, and action history.
The plan information acquisition unit 185 acquires the user's plan information from the storage unit 140 and / or the Internet. Here, the plan information includes a required arrival time to the destination B, the operation status of the transportation facility (train, bus, etc.), a required time from the current position to the destination, and the like.
The weather information acquisition unit 190 acquires the weather situation on the route moving from the current position to the destination as weather information from the Internet. In addition, the weather information acquisition unit 190 may predict the weather using an atmospheric pressure sensor.

  The storage unit 140 stores map information 213, user information 200 including past blood glucose level information, and user behavior information, meal menu information 211, and exercise type information 212. The map information 213 includes current location information of the user's current location, destination information of the user's destination (destination), work location information, home information, and the like, as well as information on transportation, roads, and the like. include. The storage unit 140 is configured by, for example, a nonvolatile storage medium.

The user information 200 includes, for example, blood glucose level information such as past blood glucose level measured during an educational hospitalization period, such as when the user has previously been hospitalized for diabetes, and the user's action content ( Action information corresponding to an action history such as a tendency of meal contents and exercise contents).
The meal menu information 211 stores a meal menu (eg, Japanese food A) such as a single food name or a dish name, and a calorie intake (eg, 500 kcal) corresponding to the meal menu. For example, the meal menu and calorie intake are “Japanese food A (500 kcal)”, “Japanese food B (700 kcal)”, “Western food L (500 kcal)”, “Western food M (800 kcal)”, “snack A (100 kcal)”, “Snack B (150 kcal)” is stored. The meal menu information 211 is referred to when the user inputs meal information.
The exercise type information 212 stores an exercise type and exercise content. For example, the exercise type is stored as (1), (2), (3), and (4), and the exercise content is “walking”, “jogging”, “cycling”, “up and down stairs”, etc. Is remembered. In this way, the exercise type and the exercise content are stored as, for example, “(1) walking”, “(2) jogging”, “(3) cycling”, and “(4) going up and down the stairs”. Yes. The exercise type information 212 is referred to when the user inputs exercise information.

The pulse measurement unit 170 constantly measures the pulse as the user's biological information. In this embodiment, the pulse of the user who moves from the current position to the destination is constantly measured. Here, constantly measuring means continuously measuring, including various cases such as after waking up from sleep until the next sleep, or during behavior (meal or exercise) during the day. .
The pulse measurement unit 170 includes an infrared light irradiation unit that irradiates infrared light. The infrared light irradiation unit irradiates the user's blood vessel with infrared light, the intensity of the infrared light reflected by the blood vessel, or the infrared light transmitted through the blood vessel. The intensity of light is detected by an image sensor such as a CCD. The pulse measuring unit 170 converts the output signal from the image sensor into a pulse using an arithmetic expression for calculating a predefined pulse. In this embodiment, it is comprised so that the infrared light irradiation part of the pulse measurement part 170 may contact | connect a user's wrist. Moreover, although the pulse measurement part 170 demonstrates the example incorporated in the exercise support system 10, you may be provided outside the exercise support system 10. FIG. In this case, it is configured to perform wired or wireless communication between the exercise support system 10 and the pulse measurement device having the pulse measurement unit 170, and pulse data is transmitted from the pulse measurement device to the exercise support system 10. Like that.
Here, the pulse is taken as an example of the biological information. For example, the pulse wave, the pulse wave R-R interval heartbeat, the body temperature, the electrocardiogram, the blood pressure, the sleep time, the bioelectrical impedance, etc. are detected or acquired by wired or wireless communication from the outside. You may make it do.

(Operation of the exercise support system 10)
With reference to FIG. 3 and FIG. 4 for an exercise support method that is an operation of the exercise support system 10 by giving an example in which a user using the exercise support system 10 moves from the current position A to the destination B (see FIG. 4). To explain.

  First, the position information acquisition unit 180 acquires the current position information of the current position A of the user. And the position information acquisition step which acquires the map information 213 of the present position information is implemented (S101). Then, time information is added from the time measuring unit 160 to the current position information of the user. Alternatively, the time information may be acquired together with the current position information from the GPS of the position information acquisition unit 180.

Next, the user inputs the destination B, and the position information acquisition unit 180 acquires the destination information of the destination B. And the destination information acquisition step which acquires the map information 213 of destination information is implemented (S102).
Thus, the map information 213 including the current position information and the destination information is acquired by performing the position information acquisition step (S101) and the destination information acquisition step (S102).

  Next, from the user information 200 stored in the storage unit 140, the blood glucose level information such as the user's blood glucose level and blood glucose level change tendency, and the action history such as the tendency of the user's action content (meal content, exercise content) A user information acquisition step for acquiring the information is performed (S103).

  Next, a target calorie consumption determining step for determining the user's target calorie consumption is performed based on the user's blood glucose level information and behavior history (S104).

  Next, a plan information acquisition step of acquiring the plan information of the user on the day of moving from the current position A to the destination B is performed (S105). The plan information is acquired from the storage unit 140 and / or the Internet. Here, the plan information includes the time at the current position A, the arrival time to the destination B, the operation status of the transportation (train, bus, etc.) and the time required from the current position A to the destination B. It is.

  Next, a weather information acquisition step of acquiring the weather situation (weather information) from the Internet in the current position A, the destination B, and the route moving from the current position A to the destination B is performed (S106).

  Next, based on the target calorie consumption, the plan information, the weather information, the blood glucose level information, the action history, etc., a route determination step for determining a route from the current position A to the destination B is performed (S107). .

  Next, a pulse measurement step of constantly measuring the pulse of the user moving from the current position A to the destination B is performed (S108).

The following two route examples shown in FIG. 4 will be described as the route determined by the route determination step (S107).
First, the first route example will be described. The first route example is a route that moves from the current position A to the station C, from the station C to the station G, and from the station G to the destination B, as shown in FIG. Specifically, the route indicated by the broken line is moved on foot from the current position A to the station C. Then, take a train from station C, move to station G different from the nearest station D of destination B, and get off the train. After that, the route indicated by the alternate long and short dash line from the station G is moved on foot to arrive at the destination B. In this way, by moving from the current position A to the station C on foot and moving from the station G on foot, the vehicle arrives at the destination B and consumes the target calorie consumption. This walk corresponds to “(1) walk” stored in the exercise type information 212 described above.
Here, as illustrated in FIG. 4, the station G is located between the station C and the station D and closer to the station C than the station D. However, the station G is not limited to this. May be located farther from the station D than the station C. In FIG. 4, there may be a station not shown between the station G and the station D, and the distance of the route indicated by the alternate long and short dash line is determined by the target calorie consumption, and based on the distance. Station G is determined.

  On the other hand, when the user determines a route to move from the current position A to the destination B by using a map or a commercially available navigation system without using the exercise support system 10, as shown in FIG. A route that is a distance route or a route of the shortest time and that moves from the current position A to the station C, from the station C to the station D, and from the station D to the destination B is determined. Specifically, it walks from the current position A to the nearest station C of the current position A. Then, take a train from station C, move to the nearest station D of destination B, and get off the train. Thereafter, the route indicated by the broken line is moved on foot from the station D and arrives at the destination B. In this case, since the distance is shorter than the case of walking from the station G, the calorie consumption is low, and the target calorie consumption cannot be consumed.

Next, a second route example will be described. The second route example is shown in FIG. 4 in the same manner as the first route example.
The second route example is a route moving from the current position A to the station E, from the station E to the station F, and from the station F to the destination B, as shown in FIG. Specifically, the route indicated by the broken line is moved on foot from the current position A to the station E. Then, take the train from station E, move to station F, and get off the train. After that, the route indicated by the two-dot chain line from the station F is moved on foot and arrives at the destination B. In this way, by moving from the current position A to the station E on foot and moving from the station F on foot, the vehicle arrives at the destination B and consumes the target calorie consumption.
Here, in FIG. 4, the station F is illustrated as being the nearest station to the destination B. However, the station F is not limited to this, and there may be a station that is not illustrated. The distance of the route indicated by the two-dot chain line is determined based on the calorie consumption, and is determined based on the distance.

  As described above, in the two examples, the vehicle travels from the current position A to the destination B by the route determined with the plan information taken into account, so that the destination B can be reached by the required arrival time and the target calorie consumption determining step (S104) The target calorie consumption determined by is consumed.

  In addition, by adding the weather information, the route indicated by the broken line, the alternate long and short dash line, and the alternate long and two short dashes line can be consumed even in the case of bad weather such as rain or strong wind. Change to a route with a roof, such as a passage or underground mall, and decide.

  In the above two route examples, it is assumed that the target calorie consumption is consumed by walking. You may consume calories.

  Further, the route from the current position A to the destination B is not limited to the above-mentioned route, and it is possible to move from the station D to the park P on foot and go around the park P on foot, After jogging, you may move on foot and arrive at destination B. Walk between station D and destination B, between current position A and station E, or between current position A and station C. You may go back and forth several times. This jogging corresponds to “(2) Jogging” stored in the exercise type information 212 described above. The route can be selected from multiple candidates according to the user's preference. The machine or system learns the user's preference while using it, and it is also possible to display it preferentially from the route that the user is most likely to choose.

(Functional configuration of control unit 110)
FIG. 5 is a functional configuration diagram centering on the functions of the control unit 110 described above. The control unit 110 includes an intake energy acquisition unit 111, a consumption energy acquisition unit 112, a calculation unit 113, an analysis unit 114, and a generation unit 115.
The intake energy acquisition unit 111 acquires blood sugar level data input by the user and meal information input by the user as intake energy information from the operation unit 130, and based on the acquired meal information and meal menu information 211, Determine calorie intake.
The consumed energy acquisition unit 112 acquires the calorie consumption as the user's consumed energy information from the activity amount measuring unit 120 at regular intervals.
The calculation unit 113 predicts a change in blood glucose level with respect to calorie intake based on the calorie intake determined by the energy intake acquisition unit 111 and a predetermined first prediction algorithm (hereinafter referred to as a first prediction curve). Is calculated. In addition, the calculation unit 113 predicts a change in blood sugar level relative to the calorie consumption based on the calorie consumption acquired by the energy consumption acquisition unit 112 and a predetermined second prediction algorithm (hereinafter, a second prediction curve). Is calculated).

  The analysis unit 114 extracts the user information 200 using the extraction condition for extracting the user information 200 corresponding to the meal information input from the operation unit 130 as the intake energy information, and uses the extracted user information 200 to extract the meal information. Analyzes the change tendency of the user's blood glucose level. The analysis unit 114 also determines the user's target calorie consumption based on the user's blood glucose level information and behavior history.

  For example, when the input meal information is “Japanese food A (500 kcal)” stored in the meal menu information 211, the time when the Japanese food A is ingested as a waveform representing a change in blood glucose level when the Japanese food A is ingested Waveform data for a period from the start to the next action (meal or exercise) is extracted. In this way, for each meal content (meal menu), a waveform representing a change in blood glucose level when each meal content is ingested is extracted as the first model waveform. In addition, when a plurality of waveforms are extracted, the analysis unit 114 performs processing such as averaging the plurality of extracted waveforms, and generates a first model waveform that shows a blood glucose level change tendency with respect to the meal information. To do.

  Similarly, the analysis unit 114 extracts the user information 200 using the extraction condition for extracting the user information 200 corresponding to the exercise information input from the operation unit 130, and uses the extracted user information 200 to extract the exercise information. Analyzes the change tendency of the user's blood glucose level.

  In the present embodiment, the activity calorie measuring unit 120 is configured to sequentially calculate the calorie consumption of the user, but it is possible to determine what kind of operation the calculated calorie consumption has performed. In order to distinguish, for the exercise other than the normal operation, the exercise type is input before the user exercises.

  When the input exercise information is walking, the waveform data from the start of walking until the next action, for example, taking a snack, is extracted as a waveform representing the change in blood glucose level when walking. Is done. Thus, for each exercise content, a waveform representing a change in blood glucose level when each exercise content is performed is extracted as a second model waveform. In addition, when a plurality of waveforms are extracted, the analysis unit 114 performs processing such as averaging the plurality of extracted waveforms, and generates a second model waveform indicating a blood glucose level change tendency with respect to the exercise information. Generate.

And the analysis part 114 calculates | requires the path | route which moves to the destination B (refer FIG. 4) from the present position A based on the map information 213, the change tendency of a user's blood glucose level with respect to exercise | movement information, etc. The map information 213 includes the user's location, the current location information of the user's location (current location), destination information of the user's destination (destination), work location information, home information, and the like. Information on institutions, roads, etc. is included.
Further, the route for moving from the current position A to the destination B is obtained by acquiring and considering the plan information and the weather information.

  In the present embodiment, in the analysis unit 114, the pulse data is analyzed from the pulse data of the user information 200 based on the analysis result of the pulse change tendency when the exercise is performed according to the exercise content. Predict changes in measured pulse data. The generation unit 115 predicts a pulse range for proper exercise, for example, aerobic exercise, according to the prediction result of the pulse data in the analysis unit 114. As a result, when the user's pulse is out of the pulse range for proper exercise, the user is notified of an exercise situation where the amount of exercise is large or small, or a pulse range for proper exercise such as lowering or raising the amount of exercise.

The generation unit 115 deforms the first prediction curve and the second prediction curve calculated by the calculation unit 113 based on the analysis result of the analysis unit 114, and integrates the deformed first prediction curve and the second prediction curve. Generate a predictive blood glucose curve.
Specifically, the generation unit 115 compares the increase value h11 up to the peak value of the blood sugar level in the increase period d2 of the first prediction curve with the increase value up to the peak value of the first model waveform, and When the difference is greater than or equal to a predetermined threshold, the coefficient α is adjusted so that the increase value h11 of the first prediction curve becomes the increase value of the first model waveform. Further, the generation unit 115 compares the equilibrium period d3 of the first prediction curve with the continuation period in which the peak value of the blood sugar level continues in the first model waveform, and the difference between the equilibrium period d3 and the continuation period is determined in advance. If it is equal to or greater than the threshold, the equilibrium period d3 is set so that the equilibrium period d3 of the first prediction curve matches the duration. In the first model waveform, it is assumed that the peak value continues during the period when the peak value of the blood glucose level falls within the predetermined threshold range, and the time point when the peak value falls below the threshold range is Judged to be the end.

  In addition, the generation unit 115 compares the amount of decrease (h11) in which the blood sugar level has decreased from the peak value in the falling period d4 of the first prediction curve with the amount of decrease in which the blood sugar level has decreased from the peak value of the first model waveform. When the difference in the amount of decrease is equal to or greater than a predetermined threshold, the coefficient β of the slope s2 is set so that the amount of decrease (h11) in the decrease period d4 of the first prediction curve becomes the amount of decrease in the first model waveform. adjust.

The generation unit 115 deforms the second prediction curve in the same manner as the first prediction curve. Specifically, the generation unit 115 compares the decrease amount ΔC per unit time of the blood glucose level in the falling period e2 of the second prediction curve with the decrease amount per unit time of the blood glucose level in the second model waveform, When the difference in the amount of decrease is equal to or greater than a predetermined threshold, the coefficient γ is adjusted so that the amount of decrease ΔC of the second prediction curve becomes the amount of decrease in the second model waveform.
The generation unit 115 deforms the first prediction curve and the second prediction curve as described above, generates a predicted blood glucose level curve that integrates the deformed first prediction curve and the second prediction curve, and generates the generated prediction. The blood glucose level curve is output to the display unit 150.
In the present embodiment, the process of deforming the prediction curve based on the analysis result refers to extracting a parameter indicating the characteristic amount of the user's blood glucose level change from the waveform (model waveform) based on the analysis result, (1 prediction curve, second prediction curve) is a process of extracting a parameter corresponding to this feature amount and bringing the parameter of the prediction curve closer to the parameter of the analysis result.

  Here, calculation of the first prediction curve and the second prediction curve will be described with reference to FIG.

First, calculation of the first prediction curve will be described with reference to FIG.
Fig.6 (a) is a figure which shows an example of the 1st prediction curve in this embodiment. The first prediction curve is obtained based on the calorie intake and the first prediction algorithm. The first prediction curve has a delay period d1, a rising period d2, an equilibrium period d3, and a falling period d4. Hereinafter, an example of the 1st prediction algorithm which calculates | requires the blood glucose level curve in each period is demonstrated.

  The delay period d1 indicates a period from the start of a meal until the blood glucose level (reference value) C0 at the start of the meal is exceeded. In the delay period d1, a predetermined time (for example, 15 minutes) from the start of the meal is set, and the blood glucose level C0 at the start of the meal is maintained. As the blood glucose level C0 at the start of the meal, the blood glucose level measured by the user at the time is used. If the blood glucose level cannot be measured, for example, a preset standard value of the blood glucose level of the user is used. May be.

The rising period d2 indicates a period starting from the end of the delay period d1 until the blood sugar level starts to rise and reaches a peak value (peak value). The peak value is a value obtained by adding the blood glucose level increase value h11 to the blood glucose level C0 at the start of the meal, with the blood glucose level increasing at the slope s1.
The increase value h11 of the blood glucose level is obtained by, for example, h11 = (calorie intake) × (insulin secretion amount) × (coefficient α). In the present embodiment, the insulin secretion amount and the coefficient α (> 0) are fixed values set in advance according to the user. Note that the insulin secretion amount and the coefficient may be not only fixed values set in advance, but also values or variable values determined according to user attributes (age, sex, height, weight).

  The equilibrium period d3 is a period in which the blood sugar level is maintained at the peak value from the end of the rising period d2, and in this embodiment, a predefined fixed value is set. Note that, for example, a value obtained by multiplying the calorie intake by a user-specific coefficient is divided by a coefficient corresponding to the difference from the previous calorie intake, and the equilibrium period using the calorie intake and a predetermined arithmetic expression is used. d3 may be obtained.

The falling period d4 indicates a period from the end of the equilibrium period d3 until the blood sugar level starts to decrease at the slope s2 and reaches the reference value. That is, the descent period d4 is a period until the blood glucose level returns from the peak value to the reference value (blood glucose level C0 at the start of the meal).
The slope s2 is obtained by, for example, s2 = (calorie intake) × (coefficient β). In the present embodiment, the coefficient β is a fixed value (<0) that is predetermined according to the user, but is a value or variable value that is predetermined according to the user's attributes (age, sex, height, weight). It may be.

Next, calculation of the second prediction curve will be described with reference to FIG.
FIG. 6B is a diagram illustrating an example of the second prediction curve in the present embodiment. The second prediction curve is obtained based on the calorie consumption and the second prediction algorithm. The second prediction curve includes a delay period e1 and a falling period e2. Hereinafter, an example of the 2nd prediction algorithm which calculates | requires the blood glucose level curve in each period is demonstrated.

The delay period e1 indicates a period from the start of exercise until the blood sugar level starts to decrease, and is a period during which the blood sugar level at the start of exercise is maintained. In the present embodiment, a predetermined period (for example, 2 minutes) is set as the delay period e1. The falling period e2 is a period during which the blood sugar level falls with a slope s3 (a blood sugar level decrease amount ΔC per unit time) from the end of the delay period e1.
The amount of decrease ΔC is obtained, for example, by ΔC = (calorie consumption) × (insulin secretion amount) × (coefficient γ). The calorie consumption is the user's calorie consumption measured by the activity amount measuring unit 120. In the present embodiment, the user's calorie consumption is calculated by the activity amount measuring unit 120 even during normal operation when the user is not conscious of exercise. Calculated and sequentially input.

  The amount of insulin secretion is a fixed value preset according to the user, and the coefficient γ (<0) may be a variable value according to the blood glucose level, or a fixed value determined according to the user's attribute It may be.

(Operation)
Hereinafter, the operation of the blood sugar level prediction system used in the exercise support system 10 in the present embodiment will be described with reference to FIG.
In this embodiment, the blood glucose level is actually measured by the user before breakfast every day. The blood sugar level prediction system using the exercise support system 10 uses the actual measurement value to predict a blood sugar level every time meal information is input and every time a user's consumed calories are measured.

  Hereinafter, the description of the operation of the exercise support system 10 (see FIG. 3) will be described above, and “(1) walking as exercise information based on the route (see FIG. 4) determined in the route determination step (S107)”. "Is selected and exercise (walking) is performed.

  The user inputs measured blood glucose level data via the operation unit 130 of the exercise support system 10. Upon receiving the blood glucose level data and the input time input via the operation unit 130, the control unit 110 sets the input blood glucose level data as the reference value C0 and starts the blood glucose level prediction process (step S11). .

  When the user performs an operation for displaying a meal information input screen via the operation unit 130, the control unit 110 displays the meal menu of the meal menu information 211 on the display unit 150 and accepts an input from the user (step S12). .

  When the meal menu is input by the user via the operation unit 130 (step S12: YES), the control unit 110 selects the intake calorie corresponding to the input meal menu from the meal menu information 211 as the intake energy information. The first prediction curve for the selected calorie intake is calculated by the first prediction algorithm (step S13). The control unit 110 extracts the user information 200 corresponding to the meal menu input in step S12, analyzes the change tendency of the past blood glucose level with respect to the meal information, and generates a first model waveform (step S14).

The control unit 110 compares the blood glucose level change of each period (d1, d2, d3, d4) in the first prediction curve calculated in step S13 with the blood glucose level change of the first model waveform generated in step S14. Then, the first prediction curve is deformed according to the comparison result (step S15).
Moreover, the control part 110 accepts the user's calorie consumption measured by the activity amount measuring unit 120 at regular intervals as the energy consumption information from the activity amount measuring part 120 (step S16), and the second prediction for the accepted calorie consumption. A curve is calculated by the second prediction algorithm (step S17).

  When the user performs an operation to display the exercise information input screen via the operation unit 130, the control unit 110 displays the exercise type information 212 on the display unit 150 and accepts an input from the user (step S18). When the exercise type is input by the user via the operation unit 130 as the exercise information (step S18: YES), the control unit 110 inputs the exercise information, for example, the user information 200 corresponding to “(1) walking”. Is extracted, the change tendency of the past blood glucose level with respect to the exercise information is analyzed, and a second model waveform is generated (step S19). The control unit 110 compares the blood glucose level change during the falling period e2 in the second prediction curve calculated in step S17 with the blood glucose level change of the second model waveform generated in step S19, and determines the first in accordance with the comparison result. 2 The prediction curve is deformed (step S20).

  The control unit 110 generates a predictive blood sugar level curve obtained by integrating the first predictive curve and the second predictive curve on the same time axis, and displays an image indicating the generated predictive blood sugar level curve on the display unit 150 (step 150). S21). In step S12, when the meal information is not input by the user (step S12: NO), the control unit 110 performs the process of step S16. Moreover, when exercise information is not input by the user in step S18 (step S18: NO), the control part 110 performs the process of step S21.

  As described above, in the present embodiment, the first prediction curve and the second prediction curve are calculated every time the intake energy information and the consumption energy information are input, and based on the calculated first prediction curve and second prediction curve. Thus, a predictive blood sugar level curve is generated. The blood glucose level data, meal information, and exercise information input by the user may be stored as user information 200 in the storage unit 140 by the control unit 110 as information on the user's past blood glucose level.

  As described above, in this embodiment, by using the user information 200 including the time series data of the past user's blood glucose level and action content, the change tendency of the blood glucose level with respect to the meal content taken by the user and the exercise performed by the user is shown. The analysis result can be reflected in a blood glucose level prediction algorithm (first prediction algorithm, second prediction algorithm) defined in advance. Therefore, the blood sugar level can be predicted according to characteristics such as the user's constitution without increasing the number of times the blood sugar level is actually measured, and the prediction accuracy of the blood sugar level can be improved.

  According to the present embodiment, in the route determination step (S107), the route is determined from the current position A to the destination B by the route determined based on the target calorie consumption, blood glucose level information, action history, etc. The user can reach the destination B by the required arrival time and performs appropriate exercise within the pulse range for aerobic exercise, for example. Thereby, it is possible to provide an exercise support method that can consume the target calorie consumption determined in the target calorie consumption determination step (S104). In this way, if the user's pulse falls outside the pulse range for proper exercise, the user will be given an exercise situation where the amount of exercise is high or low, or the pulse range for proper exercise such as lowering or raising the amount of exercise. I can inform you. In this way, the user can perform exercise therapy without any abnormalities such as adverse effects due to excessive exercise, and the purpose of preventing, improving, or treating lifestyle-related diseases can be achieved.

  And since it moves from the present position A to the destination B by the route determined in consideration of the plan information acquired in the plan information acquisition step (S105), the user can reach the destination B by the arrival time. The exercise support method capable of consuming the target calorie consumption determined in the target calorie consumption determination step (S104) can be provided.

  Further, by adding the weather information acquired in the weather information acquisition step (S106), a route with a roof such as an underground passage or an underground shopping street is determined even in the case of bad weather such as rain or strong wind. Thereby, since it moves from the current position A to the destination B, it is possible to provide an exercise support method that allows the user to reach the destination B by the required arrival time and consume the target calorie consumption.

  Then, the analysis unit 114 moves from the current position A to the destination B by a route determined based on the target calorie consumption, blood glucose level information, action history, and the like. Along with being able to reach B, for example, appropriate exercise is performed in the pulse range for aerobic exercise. Thereby, it is possible to provide an exercise support system that can consume the target calorie consumption determined in the target calorie consumption determination step (S104). In this way, if the user's pulse is out of the pulse range for proper exercise, the user is informed of the exercise status, such as high or low exercise amount, or the pulse range for proper exercise, such as lowering or raising exercise amount. Can do. In this way, the user can perform exercise therapy without any abnormalities such as adverse effects due to excessive exercise, and the purpose of preventing, improving, or treating lifestyle-related diseases can be achieved.

  In addition, since the user moves from the current position A to the destination B through the route determined in consideration of the plan information acquired by the plan information acquisition unit 185, the user can reach the destination B by the required arrival time, and the target consumption An exercise support system capable of consuming calories can be provided.

  Then, by taking into account the weather information acquired by the weather information acquisition unit 190, a route with a roof such as an underground passage or an underground city is determined even in the case of bad weather such as rain or strong wind. Thereby, since it moves from the current position A to the destination B, it is possible to provide an exercise support system that allows the user to reach the destination B by the required arrival time and consume the target calorie consumption.

(Second Embodiment)
Hereinafter, the exercise support method and the exercise support system 10 of the second embodiment will be described with reference to FIGS. 8 and 2.
The exercise support method and exercise support system 10 of the second embodiment are the same as the configuration of the first embodiment shown in FIG. 2, although they are different from the configuration of the first embodiment shown in FIG. 1. For this reason, about the same structure, the same code | symbol is provided and description of a structure is abbreviate | omitted.

  As shown in FIG. 8, the exercise support system 10 includes a pulse meter 50 and an activity meter 70. And it is comprised so that a wire communication or radio | wireless communication may be performed between the pulse meter 50 and the active mass meter 70. FIG.

  The pulse meter 50 includes a pulse measuring unit 170. The activity meter 70 includes a control unit 110, an activity amount measurement unit 120, an operation unit 130, a display unit 150, a time measurement unit 160, a position information acquisition unit 180, a plan information acquisition unit 185, a weather information acquisition unit 190, and a storage. Part 140 is provided.

  According to this embodiment, the same effect as the above-mentioned first embodiment can be obtained.

  In addition, the deformation | transformation in the range which can solve at least one part of the said subject, improvement, etc. are contained in above-mentioned embodiment.

  For example, the exercise support system 10 is not limited to the configuration illustrated in FIG. 1 or 8, and the portable terminal 60 according to the first embodiment illustrated in FIG. Or the structure provided with the portable terminal 60 may be sufficient as the pulse meter 50 shown in FIG.

The activity meter 70 according to the second embodiment includes the position information acquisition unit 180 illustrated in FIG. 2, but the present invention is not limited thereto, and the pulse meter 50 may include the position information acquisition unit 180. .
Further, the activity meter 70 of the second embodiment includes the control unit 110, the activity amount measurement unit 120, the operation unit 130, the storage unit 140, the display unit 150, the time measurement unit 160, the position information acquisition unit 180, which are illustrated in FIG. Although the plan information acquisition unit 185 and the weather information acquisition unit 190 are provided, the present invention is not limited to this, and the activity meter 70 of the second embodiment includes at least the activity amount measurement unit 120 shown in FIG. It is good also as providing each part other than the active mass measurement part 120 in the pulse meter 50 or the portable terminal 60 of 1st Embodiment shown in FIG. Further, the activity meter 70 of the second embodiment shown in FIG. 8 includes the activity amount measurement unit 120 and the position information acquisition unit 180 shown in FIG. 2, and other units are shown in the pulse meter 50 or FIG. It may be provided in the portable terminal 60 of the illustrated first embodiment.

Although the plan information acquisition step (S105) has been described as being performed, the present invention is not limited to this, and the plan information acquisition step (S105) may not be performed. In this case, in the route determination step (S107), a route for moving from the current position A to the destination B is determined based on the target calorie consumption and the weather information.
Moreover, although it demonstrated as implementing a weather information acquisition step (S106), it is not restricted to this, You may not implement a weather information acquisition step (S106). In this case, in the route determination step (S107), a route for moving from the current position A to the destination B is determined based on the target calorie consumption and the plan information.
Then, when the plan information acquisition step (S105) and the weather information acquisition step (S106) are not performed, the route determination step (S107) moves from the current position A to the destination B based on the target calorie consumption. Determine the route.

  DESCRIPTION OF SYMBOLS 10 ... Exercise support system, 50 ... Pulse meter, 60 ... Portable terminal, 70 ... Activity meter, 110 ... Control part, 111 ... Intake energy acquisition part, 112 ... Consumption energy acquisition part, 113 ... Calculation part, 114 ... Analysis part , 115 ... generation unit, 120 ... activity amount measurement unit, 130 ... operation unit, 140 ... storage unit, 150 ... display unit, 160 ... timing unit, 170 ... pulse measurement unit, 180 ... position information acquisition unit, 185 ... plan information Acquisition unit, 190 ... weather information acquisition unit, 200 ... user information, 211 ... meal menu information, 212 ... exercise type information, 213 ... map information.

Claims (11)

A current position acquisition step for acquiring the current position of the user;
A destination information acquisition step of acquiring information about the user's destination;
User information acquisition step of acquiring user information including blood glucose level information of the user and action history information;
A target calorie consumption determining step for determining a target calorie consumption of the user based on the user information;
A route determination step for determining a route to move from the current position to the destination based on the target calorie consumption and the user information;
An exercise support method comprising the steps of: The exercise support method according to claim 1,
In the route determination step, comprising a plan information acquisition step of acquiring plan information of the user,
An exercise support method, wherein a route for moving from the current position to the destination is determined based on the plan information, the target calorie consumption, and the user information. The exercise support method according to claim 1 or 2,
The route determination step includes a weather information acquisition step of acquiring weather information on the current position, the destination, and a route moving from the current position to the destination,
An exercise support method, comprising: determining a route from the current position to the destination based on the weather information, the plan information, the target calorie consumption, and the user information. The exercise support method according to any one of claims 1 to 3,
A pulse information acquisition step of acquiring the user's pulse information;
Analyzing the user's exercise status based on the pulse information, and a notification step for notifying the user of the exercise status based on the analysis result;
An exercise support method, further comprising: The exercise support method according to any one of claims 1 to 4,
The said user information acquisition step includes the step which acquires the information regarding the tendency of the said user's meal content or exercise content, The exercise assistance method characterized by the above-mentioned. A location information acquisition unit that acquires current location information of the current location of the user and destination information of the destination of the user;
A user information acquisition unit for acquiring user information including blood glucose level information and behavior history information of the user;
An analysis unit for determining a target calorie consumption of the user based on the user information,
The exercise support apparatus characterized in that the analysis unit determines a route to move from the current position to the destination based on the target calorie consumption and the user information. The exercise support device according to claim 6,
A pulse measuring unit for measuring the pulse information of the user;
Analyzing the user's exercise status based on the pulse information in the analysis unit, and notifying the user about the exercise status based on the analysis result;
An exercise support apparatus further comprising: The exercise support apparatus according to claim 6 or 7,
A plan information acquisition unit for acquiring the plan information of the user;
The exercise support apparatus characterized in that the analysis unit determines a route to move from the current position to the destination based on the plan information, the target calorie consumption, and the user information. In the exercise support device according to claim 6-8,
A weather information acquisition unit for acquiring weather information on the current position, the destination, and a route moving from the current position to the destination;
The exercise support apparatus, wherein the analysis unit determines a route to move from the current position to the destination based on the weather information, the plan information, the target calorie consumption, and the user information. A location information acquisition unit that acquires current location information of the current location of the user and destination information of the destination of the user;
A user information acquisition unit for acquiring user information including blood glucose level information and behavior history information of the user;
An analysis unit for determining a target calorie consumption of the user based on the user information,
The exercise support system, wherein the analysis unit determines a route to move from the current position to the destination based on the target calorie consumption and the user information. The exercise support apparatus according to claim 10,
A pulse measuring unit for measuring the pulse information of the user;
Analyzing the user's exercise status based on the pulse information in the analysis unit, and notifying the user about the exercise status based on the analysis result;
An exercise support system, further comprising:

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