JP6920714B2 - Health management device - Google Patents

Description

The present disclosure relates to a technique for evaluating the exercise of a subject based on the exercise intensity derived from the activity meter used by the subject.

The activity meter measures the amount of activity based on the movement of the user by using an acceleration sensor or the like. By measuring and analyzing the amount of activity of the user on a daily basis, useful information on the maintenance of the health of the user and the prevention of lifestyle-related diseases can be obtained. Patent Document 1 discloses an activity meter for calculating activity calories burned by physical activity.

One of the indicators of physical activity is a unit called exercise (Ex). The amount of exercise indicates how much intensity of exercise was performed and how long it took, and is calculated by multiplying the intensity of physical activity (hereinafter referred to as "exercise intensity") by the activity time. The unit of exercise intensity is "METs", and "METs" expresses how many times the exercise corresponds to resting.

Figure 1 shows an example of physical activity of "3 METs" or higher published by the Ministry of Health, Labor and Welfare of Japan. The table shown in Fig. 1 is an excerpt from "Exercise Guidelines for Health Promotion 2006". For example, if 3 mets of physical activity is performed for 20 minutes, the amount of exercise is "3 mets x 1/3 hour = 1 exercise". Is calculated. The greater the amount of this exercise, the more calories burned during exercise.

The activity meter estimates the exercise intensity from the value detected by the accelerometer. In Patent Document 1, the intensity of acceleration is detected from the acceleration signal output from the acceleration detection unit, and the intensity of the detected acceleration is compared with a predetermined threshold value, so that the exercise intensity can be small, medium, or large. Disclose the technology to estimate the existence.

Japanese Unexamined Patent Publication No. 2005-133072

Lifestyle-related diseases are diseases caused by lifestyle-related diseases such as metabolic syndrome, hypertension, dyslipidemia, and diabetes. For example, diabetes, which is a disease that raises blood sugar levels, is known to easily cause complications. There are two important factors in the prevention and treatment of diabetes, one is to improve the eating habits so that the blood sugar level does not rise, and the other is to improve the constitution so that the blood sugar level does not rise easily by exercise. It is said that there is.

Glucose (blood sugar) in the blood is a useful entity that is used as energy in the body and is converted into energy by insulin. However, obese people have poor insulin function and tend to have high blood sugar levels. In order to improve the function of insulin, it is recommended to eliminate obesity, lose weight to an appropriate weight, and perform appropriate exercise such as walking.

Although the number of steps and the amount of exercise are generally used as indicators of physical activity, the present disclosure seeks to create an index that more appropriately shows the relationship between diabetes and physical activity for diabetic patients and the diabetic reserve army. bottom. As a result of various verifications of multiple diabetic reserves, the present discloser has arrived at a new evaluation index for the prevention of lifestyle-related diseases including diabetes.

The present disclosure has been made in view of these circumstances, and one of the purposes thereof is to provide a technique for evaluating the exercise of a subject using a new index for health management.

In order to solve the above-mentioned problems, the health management device of a certain aspect of the present disclosure includes an exercise intensity acquisition unit that acquires the exercise intensity derived by the activity meter used by the subject together with the time information, and an exercise intensity acquisition unit. From the exercise intensity and time information acquired in the section, it is shown as a combination of the duration derivation section for deriving the category of the duration of the exercise belonging to the same exercise intensity category and the exercise intensity category and the duration category. The exercise days derivation unit that derives the number of exercise days in which the exercise was performed within a predetermined number of consecutive days, the intensity evaluation value associated with each exercise intensity category, and the time evaluation associated with each duration category. Using the evaluation value holding unit that holds the evaluation value information including the number of days evaluation value associated with each category of the value and the number of exercise days, and the evaluation value information held in the evaluation value holding unit, the classification and continuation of the exercise intensity It is provided with an exercise evaluation value calculation unit that calculates an exercise evaluation value for each of a plurality of types of exercises indicated in combination with a time division based on the exercise days derived by the exercise days derivation unit.

It should be noted that any combination of the above components and the conversion of the expression of the present disclosure between methods, devices, systems, recording media, computer programs and the like are also effective as aspects of the present disclosure.

According to the present disclosure, the exercise of the subject can be evaluated using a new index for health management.

It is a figure which shows the example of the physical activity of 3 METs or more. It is a figure which shows the outline of the health management system of an Example. It is a figure which shows the structure of the health management apparatus. It is a figure which shows the exercise intensity data for one day stored in the measurement data storage part. It is a figure which shows the transition example of exercise intensity in one day. It is a figure which shows the classification to which exercise intensity belongs at each time. It is a figure which shows a plurality of exercise types specified by the combination of the exercise intensity classification and the duration classification. It is a figure which shows the derived number of exercise days, the number of days division, and the number of exercises for each type of exercise. It is a figure which shows the evaluation value information held in the evaluation value holding part. It is a figure which shows the exercise evaluation value calculated for each type of exercise. It is a figure which shows the relationship between the increase / decrease of the body weight of a subject, and the increase / decrease of HbA1c. It is a figure which shows the relationship between the exercise score value and the weight gain and loss of a subject.

FIG. 2 shows an outline of the health management system 1 of the embodiment. The health management system 1 supports the health promotion of the health management subjects who participate in the system. The subject wears a portable activity meter 7 and transfers the data measured and derived by the activity meter 7 (hereinafter referred to as “activity data”) from the communication device 8 such as a smartphone to the health management device 2. Send. The activity meter 7 has a three-axis accelerometer, and measures and derives activity data such as a step count value, calories burned, and exercise intensity in a predetermined sampling cycle. The activity meter 7 may count the number of steps and derive calories burned and exercise intensity by a known method. The activity meter 7 may be of a type attached to a belt or the like, but in order for the subject to wear it at all times without difficulty, a wristband type worn on the arm is preferable. The activity meter 7 may be equipped with a communication function and periodically transmit activity data to the health management device 2.

The activity meter 7 of the embodiment has a function of deriving activity data such as exercise intensity at a sampling cycle of every 5 minutes and temporarily storing it in a memory together with the derived time information. When the activity meter 7 transmits the temporarily stored activity data together with the time information to the health management device 2 via the communication device 8, the transmitted activity data is deleted from the memory, and the activity data derived every 5 minutes is deleted. Temporarily store in memory.

The subject measures the body weight with the weight scale 5 and the blood pressure with the sphygmomanometer 6 at a predetermined time in the day. The subject transmits the measured weight data and blood pressure data from the communication device 8 to the health management device 2. The health management device 2 receives the data measured and derived by the weight scale 5, the sphygmomanometer 6, and the activity meter 7, and performs various analyzes to convert the health condition and exercise status of the subject into data, and the subject. Manage the health of the person. The health management device 2 creates a My Page that aggregates data on the health condition and exercise status for each subject, and allows the subject to browse detailed information on the number of steps per day, transition information on body weight and blood pressure, and the like. good.

At the call center 3, the public health nurse can view the information of the target person by logging in to the health management device 2 from the terminal device. The target person's information that can be viewed by the public health nurse may be the same as or different from the information that the target person can view on My Page. If there is something that the public health nurse is interested in the information of the target person who has browsed, he / she can call the communication device 8 of the target person or send a message by e-mail to give advice for the health management of the target person. conduct.

In the medical facility 4, the doctor can browse the information of the target person by logging in to the health management device 2 from the terminal device. The information of the subject viewed by the doctor may be the same as the information of the subject viewed by the public health nurse. In the examples, the subject is periodically subjected to a blood test to measure HbA1c (hemoglobin A1c). In order to prevent complications, it is recommended to maintain HbA1c at less than 7%, and doctors observe the transition of HbA1c in the subject and hold interviews with the subject as needed to provide guidance on eating habits and exercise habits. I do.

The health management system 1 of the embodiment supports health management for the purpose of improving and preventing diabetes, especially for diabetic patients and their reserve army among the participants. Exercise is good for improving and preventing diabetes, but it is known that even with exercise, the effect of exercise lasts only 72 hours at the longest. The present discloser pays attention to the sustainability of this exercise effect, and incorporates parameters that reflect exercise habits when quantifying the evaluation of physical activity, which is an index that more appropriately shows the relationship between diabetes and physical activity. It was created. The contents will be described below.

FIG. 3 shows the configuration of the health management device 2. The health management device 2 includes a data acquisition unit 10, a measurement data storage unit 20, an evaluation value holding unit 22, a processing unit 30, and an information providing unit 50. The data acquisition unit 10 includes a weight acquisition unit 12, a blood pressure acquisition unit 14, and an exercise intensity acquisition unit 16. The processing unit 30 includes a duration derivation unit 32, an exercise days derivation unit 34, an exercise number derivation unit 36, an exercise evaluation value calculation unit 38, and a score value determination unit 40.

In FIG. 3, each element described as a functional block that performs various processes can be composed of a circuit block, a memory, and other LSIs in terms of hardware, and is loaded into the memory in terms of software. It is realized by a program or the like. Therefore, it is understood by those skilled in the art that these functional blocks can be realized in various forms by hardware only, software only, or a combination thereof, and is not limited to any of them.

The data acquisition unit 10 acquires the measurement data transmitted from the communication device 8 of the target person. The body weight acquisition unit 12 acquires the body weight data, and the blood pressure acquisition unit 14 acquires the blood pressure data. The body weight data acquired by the body weight acquisition unit 12 and the blood pressure data acquired by the blood pressure acquisition unit 14 are stored in the measurement data storage unit 20.

The exercise intensity acquisition unit 16 acquires the exercise intensity and time information transmitted from the communication device 8 and stores it in the measurement data storage unit 20. Since the activity meter 7 also transmits activity data other than exercise intensity from the communication device 8 to the health management device 2, the exercise intensity acquisition unit 16 acquires activity data including exercise intensity.

FIG. 4 shows exercise intensity data for one day stored in the measurement data storage unit 20. Exercise intensity data is stored together with time information. The activity meter 7 derives the exercise intensity every 5 minutes, and the exercise intensity shown in FIG. 4 indicates the exercise intensity derived within 5 minutes from the associated time. That is, the exercise intensity associated with the time information of 12:00 means the exercise intensity between 12:00 and 12:05.

FIG. 5 shows an example of changes in daily exercise intensity derived from the activity meter 7. By plotting the exercise intensity data for one day stored in the measurement data storage unit 20 according to the time information, the exercise intensity transition graph shown in FIG. 5 is created. In this transition graph, the vertical axis represents exercise intensity (METs) and the horizontal axis represents time. The information providing unit 50 generates a transition graph from the exercise intensity data for one day stored in the measurement data storage unit 20, derives "average METs" obtained by averaging the exercise intensity for one day by calculation, and derives the target person. It may be provided as my page of.

In the embodiment, the processing unit 30 calculates an evaluation value based on a new index that can be used for prevention or treatment of diabetes, based on the exercise intensity stored in the measurement data storage unit 20. This index is generated including a parameter indicating how many days of exercise in a predetermined number of consecutive days (for example, one week). This parameter expresses the exercise habit, that is, the exercise frequency in one week, and the new index reflects the exercise frequency in one week.

The processing unit 30 specifies the type of exercise by a combination of the exercise intensity classification and the exercise duration classification. In the embodiment, the exercise intensity is classified into a plurality of groups, and the exercise intensity classification corresponds to one group. Further, in the embodiment, the duration of exercise is classified into a plurality of groups, and the division of the duration corresponds to one group. Therefore, the type of exercise is specified by a combination of one exercise intensity group and one duration group. The processing unit 30 calculates an exercise evaluation value that reflects exercise habits for each type of exercise using the exercise intensity data for one week of the subject.

The duration derivation unit 32 derives the duration division in which the exercise belonging to the same exercise intensity category continues from the exercise intensity and time information stored in the measurement data storage unit 20.
Here, exercise intensity is classified as follows.
(1st strength category) Less than 3 METs (2nd intensity category) 3 METs or more and less than 4 METs (3rd intensity category) 4 METs or more and less than 5.5 METs (4th intensity category) 5.5 METs or more, 7 Less than Mets (5th strength category) 7 Mets or more

First, the duration derivation unit 32 specifies to which intensity category the exercise intensity stored in the measurement data storage unit 20 belongs. The exercise intensity data from 12:00 to 13:05 shown in FIG. 4 will be described as an example.
The exercise intensity between 12:00 and 12:05 is 1.5 and belongs to the first intensity category.
The exercise intensity between 12:05 and 12:10 is 2.0 and belongs to the first intensity category.
The exercise intensity between 12: 10 and 12:15 is 3.0 and belongs to the second intensity category.
The exercise intensity between 12:15 and 12:20 is 4.0 and belongs to the third intensity category.
Hereinafter, when this specifying process is repeated, as shown in FIG. 6, the division to which the exercise intensity at each time belongs is specified.

When the duration derivation unit 32 specifies the category to which the exercise intensity belongs at each time, the duration of the exercise belonging to the same exercise intensity category is obtained as follows.
Exercise belonging to the first intensity category continues for 10 minutes between 12:00 and 12:10.
Exercise belonging to the second intensity category continues for 5 minutes between 12: 10-12: 15.
Exercise belonging to the third intensity category continues for 10 minutes between 12: 15-12: 25.
Exercise belonging to the first intensity category continues for 45 minutes between 12:25 and 13:10.

When the duration derivation unit 32 obtains the duration of exercise belonging to the same exercise intensity category, the duration derivation unit 32 derives the duration category to which the obtained duration belongs.
Here, the duration is divided as follows.
(1st time division) Less than 10 minutes (2nd time division) 10 minutes or more and less than 30 minutes (3rd time division) 30 minutes or more and less than 65 minutes (4th time division) 65 minutes or more

The duration derivation unit 32 specifies which time division the obtained duration belongs to.
The duration (10 minutes) of exercise belonging to the first intensity category between 12:00 and 12:10 belongs to the second time category.
The duration (5 minutes) of exercise belonging to the second intensity category between 12: 10 and 12:15 belongs to the first time category.
The duration (10 minutes) of exercise belonging to the third intensity category between 12: 15-12: 25 belongs to the second time category.
The duration of exercise (45 minutes) belonging to the first intensity category between 12:25 and 13:10 belongs to the third time category.

The duration derivation unit 32 performs this analysis process on the exercise intensity data for a predetermined number of consecutive days, in this case one week (7 days).

As described above, the processing unit 30 specifies the type of exercise by the combination of the exercise intensity classification and the duration classification.
FIG. 7 shows a plurality of exercise types specified by a combination of an exercise intensity category and a duration category. Since the exercise intensity is classified into 5 categories and the duration is classified into 4 categories, the number of types of exercise in the examples is 20. For example, the type 8 exercise specified by the combination of the third intensity division and the second time division is an exercise in which exercises of 4 METs or more and less than 5.5 METs are performed for 10 minutes or more and less than 30 minutes.

The exercise days derivation unit 34 derives the number of exercise days in which the exercise indicated by the combination of the exercise intensity classification and the duration classification is carried out within a continuous predetermined number of days. Further, the exercise number deriving unit 36 derives the number of exercises in which the exercise indicated by the combination of the exercise intensity classification and the duration classification is performed within a continuous predetermined number of days. As described above, the predetermined number of consecutive days is 7 days.

The exercise days derivation unit 34 refers to the analysis result by the duration derivation unit 32 and counts the number of days during which exercise was performed for each type. When the number of exercise days in one week for each type is counted, the exercise day number derivation unit 34 derives the number of days classification to which the counted number of exercise days belongs.
Here, the number of exercise days is classified as follows.
(1st day classification) 0 day (2nd day classification) 1-2 days (3rd day classification) 3-4 days (4th day classification) 5-7 days

FIG. 8 shows the number of exercise days and the number of days classification derived by the exercise number derivation unit 34 and the number of exercises derived by the exercise number derivation unit 36 for each type of exercise. The exercise evaluation value calculation unit 38 calculates the exercise evaluation value for each of the plurality of types of exercises based on the number of exercise days derived by the exercise days derivation unit 34. In the embodiment, the exercise evaluation value calculation unit 38 calculates the exercise evaluation value using the derived days classification, but as will be described later, the exercise evaluation value may be calculated using the exercise days itself.

The evaluation value holding unit 22 includes an intensity evaluation value associated with each category of exercise intensity, a time evaluation value associated with each category of duration, and a number of days evaluation value associated with each category of exercise days. Holds evaluation value information.

FIG. 9A shows an example of the intensity evaluation value associated with each category of exercise intensity. Here, the strength evaluation value of the first strength category is 0, the strength evaluation value of the second strength category is 1, the strength evaluation value of the third strength category is 10, the strength evaluation value of the fourth strength category is 100, and the fifth strength category. The strength evaluation value of is set to 1000. The numerical values shown as the strength evaluation values are examples, but at least the strength evaluation value of the first strength category <strength evaluation value of the second strength category <strength evaluation value of the third strength category <strength evaluation value of the fourth strength category <It is necessary to establish a magnitude relationship between the strength evaluation values of the fifth strength category. That is, the higher the exercise intensity, the higher the intensity evaluation value is set.

FIG. 9B shows an example of the time evaluation value associated with each division of the duration. Here, the time evaluation value of the first time division is set to 0, the time evaluation value of the second time division is set to 1, the time evaluation value of the third time division is set to 10, and the time evaluation value of the fourth time division is set to 100. .. The numerical value shown as the time evaluation value is an example, but at least the time evaluation value of the first time division <the time evaluation value of the second time division <the time evaluation value of the third time division <the time evaluation value of the fourth time division It is necessary to establish the magnitude relationship of. That is, the longer the duration of exercise, the higher the time evaluation value is set.

FIG. 9C shows an example of the number of days evaluation value associated with each category of the number of exercise days. Here, the number of days evaluation value of the first number of days category is set to 0, the number of days evaluation value of the second number of days category is set to 1, the number of days evaluation value of the third number of days category is set to 10, and the number of days evaluation value of the fourth number of days category is set to 20. .. The numerical value shown as the number of days evaluation value is an example, but at least the number of days evaluation value of the first number of days category <the number of days evaluation value of the second number of days category <the number of days evaluation value of the third number of days category <the number of days evaluation value of the fourth number of days category It is necessary to establish the magnitude relationship of. That is, the more days of exercise, the higher the number of days evaluation value is set.

The intensity evaluation value, the time evaluation value, and the number of days evaluation value shown in FIGS. 9A to 9C are held in the evaluation value holding unit 22 as evaluation value information.

The exercise evaluation value calculation unit 38 uses the evaluation value information held in the evaluation value holding unit 22 to determine the exercise evaluation value for each of the plurality of types of exercise indicated by the combination of the exercise intensity classification and the duration classification. , Calculated based on the number of exercise days derived by the exercise day derivation unit 34. Specifically, the exercise evaluation value calculation unit 38 calculates the exercise evaluation value based on the multiplication result obtained by multiplying the intensity evaluation value, the time evaluation value, and the derived number of days evaluation value associated with the exercise days.

In the embodiment, the exercise evaluation value calculation unit 38 multiplies the multiplication result of the intensity evaluation value, the time evaluation value, and the number of days evaluation value by the number of times evaluation value associated with the derived number of exercises, and then multiplies the exercise evaluation value. Is calculated. Here, the number-of-times evaluation value associated with the number of exercises may be the value of the number of exercises itself, or may be a value associated with the set division by setting the division of the number of exercises. Hereinafter, the evaluation value of the number of times associated with the number of exercises will be described as the value of the number of exercises itself.

The exercise evaluation value calculation unit 38 calculates the exercise evaluation value by the following formula.
(Exercise evaluation value) = (Intensity evaluation value) x (Time evaluation value) x (Days evaluation value) x (Number of times evaluation value)
When the type 1 exercise evaluation value is calculated with reference to FIGS. 8 and 9 (a) to 9 (c),
The strength evaluation value of the first strength category is "0",
The time evaluation value of the first time division is "0",
The number of days evaluation value of the 4th day classification is "20",
Since the number of times evaluation value is "32"
The type 1 motion evaluation value is derived as 0 × 0 × 20 × 32 = 0.

When calculating the type 6 exercise evaluation value,
The strength evaluation value of the second strength category is "1",
The time evaluation value of the second time division is "1",
The number of days evaluation value of the third number of days category is "10",
Since the number of times evaluation value is "15"
The type 6 motion evaluation value is derived as 1 × 1 × 10 × 15 = 150.

When calculating the type 12 exercise evaluation value,
The strength evaluation value of the third strength category is "10",
The time evaluation value of the 4th time division is "100",
The number of days evaluation value of the 4th day classification is "20",
Since the number of times evaluation value is "5"
The exercise evaluation value of type 12 is derived as 10 × 100 × 20 × 5 = 100,000.

As described above, the exercise evaluation value calculation unit 38 calculates the exercise evaluation value of each exercise type using the above calculation formula.
FIG. 10 shows exercise evaluation values calculated for each type of exercise. The exercise evaluation value reflects the number of exercise days in one week. In other words, the higher the number of exercise days, the higher the exercise evaluation value is calculated. The number of exercise days in one week expresses the exercise habit of the subject, and therefore the exercise evaluation value is an index value incorporating the exercise frequency of the subject as a parameter.

The score value determination unit 40 uses the largest exercise evaluation value among the exercise evaluation values for each of the plurality of types of exercises calculated by the exercise evaluation value calculation unit 38, and sets a score value as an index indicating the state of exercise habits. decide. The largest exercise evaluation value best reflects the subject's weekly exercise tendency. Here, the exercise evaluation value (= 100,000) calculated for type 12 is the largest, and the score value determination unit 40 determines the exercise evaluation value of the subject in one week to 100,000. The score value determination unit 40 takes the logarithm of the exercise evaluation value and determines the exercise score value by the following formula.
(Exercise score value) = log ₁₀ (Exercise evaluation value)

As mentioned above, the exercise effect lasts only 72 hours at the longest. Therefore, even if you exercise vigorously (that is, exercise with high exercise intensity) only on weekends and holidays during the week, if you do not exercise at all on weekdays, the exercise effect on diabetes is low. The score value obtained by the score value determination unit 40 in the embodiment includes an element of the number of exercise days, which means that the score value is an index value in consideration of the exercise habit of the subject. There is.

The present discloser verified the score value reflecting the exercise habits based on the activity data of a plurality of subjects over half a year.
FIG. 11 shows the relationship between the increase / decrease in body weight of the subject and the increase / decrease in HbA1c. The vertical axis shows the amount of increase / decrease in HbA1c, and the horizontal axis shows the amount of increase / decrease in body weight per 100 days. From the relationship shown in FIG. 11, it is confirmed that the more the person loses weight, the more significantly the HbA1c decreases.

FIG. 12 shows the relationship between the exercise score value and the increase or decrease in the body weight of the subject. The vertical axis shows the amount of weight gain or loss per 100 days, and the horizontal axis shows the exercise score value. It should be noted that this exercise score value is a value obtained by averaging the exercise score values obtained for each week during the verification period. FIG. 12 shows that a person with a higher exercise score value loses weight significantly. As described above, it was confirmed by verification that the index created by the present discloser is an index that can significantly evaluate the weight loss that contributes to the prevention and treatment of diabetes.

The information providing unit 50 provides the target person with information based on the score value determined by the score value determining unit 40. The information provided to the proponent may be a video recording the recommended exercise, a daily exercise menu, or exercise advice. The information providing unit 50 provides the target person with information according to the score value, so that the target person is given an opportunity to increase the motivation to continue the exercise and to review the exercise content.

In the above example, the number of exercise days is grouped from the first day group to the fourth day group, but the number of exercise days in one week itself may be grouped as the number of days category. In this case, 1 day is classified as the 1st day number classification, 2nd day is the 2nd day number classification, ... 7th day is the 7th day number classification, and the number of days evaluation value shown in FIG. 9C is , Each day category will be weighted and set.

Further, in the above example, the number of times evaluation value associated with the number of exercises is used as the value of the number of exercises itself, but the number of exercises is divided into a plurality of groups, and the number of times evaluation value is each group (exercise number classification). May be weighted against.

Further, in the above example, the exercise evaluation value calculation unit 38 calculates the exercise evaluation value by multiplying the multiplication result of the intensity evaluation value, the time evaluation value, and the number of days evaluation value by the number of times evaluation value associated with the number of exercises. However, it is not necessary to multiply the number-of-times evaluation value. This is because the exercise evaluation value in consideration of exercise habits can be calculated by using the number of days evaluation value as a multiplication factor without multiplying the number of times evaluation value. The exercise evaluation value calculation unit 38 can further multiply the number of times evaluation value to calculate an exercise evaluation value in which the amount of exercise is taken into consideration in addition to the exercise habit.

The present disclosure has been described above based on the examples. This embodiment is an example, and it will be understood by those skilled in the art that various modifications are possible for each of these components and combinations of each processing process, and that such modifications are also within the scope of the present disclosure. ..

The outline of the aspects of the present disclosure is as follows. In the health management device of a certain aspect of the present disclosure, the exercise intensity acquisition unit that acquires the exercise intensity derived by the activity meter used by the subject together with the time information, and the exercise intensity and time acquired by the exercise intensity acquisition unit. From the information, the exercise indicated by the combination of the duration derivation part that derives the duration division of the exercise belonging to the same exercise intensity category and the exercise intensity division and the duration division is the continuous predetermined number of days. In the exercise days derivation part that derives the number of exercise days carried out, the intensity evaluation value associated with each exercise intensity category, the time evaluation value associated with each duration category, and the exercise days category Using the evaluation value holding unit that holds the evaluation value information including the associated number of days evaluation value and the evaluation value information held in the evaluation value holding unit, it is shown as a combination of the exercise intensity classification and the duration classification. It is provided with an exercise evaluation value calculation unit that calculates an exercise evaluation value for each of the plurality of types of exercises based on the number of exercise days derived by the exercise days derivation unit.

According to this aspect, by evaluating the exercise of the subject based on the number of exercise days performed within a predetermined number of consecutive days, it is possible to create an evaluation value based on an index in which the exercise habit of the subject is taken into consideration. The predetermined number of consecutive days may be 7 days, that is, one week.

The exercise evaluation value calculation unit may calculate the exercise evaluation value based on the multiplication result obtained by multiplying the intensity evaluation value, the time evaluation value, and the derived number of days evaluation value associated with the exercise days. The health management device of this aspect uses the largest exercise evaluation value among the exercise evaluation values for each of the plurality of types of exercise calculated by the exercise evaluation value calculation unit, and sets a score value as an index indicating the state of exercise habits. A score value determination unit for determining may be further provided. By using the largest exercise evaluation value by the score value determination unit, it is possible to determine a score value that appropriately reflects the exercise habits of the subject in a predetermined number of consecutive days.

The health management device may further include an exercise number deriving unit that derives the number of exercises performed within a predetermined number of consecutive days in which the exercise indicated by the combination of the exercise intensity classification and the duration classification is performed. In this case, the exercise evaluation value calculation unit may calculate the exercise evaluation value by multiplying the multiplication result by the number of times evaluation value associated with the derived number of exercises. By adding the element of the number of exercises in a predetermined number of consecutive days to the exercise evaluation value, the exercise evaluation value reflecting the exercise habit and the amount of exercise of the subject can be calculated.

The health management device may further include an information providing unit that provides information based on the score value determined by the score value determining unit to the target person. By providing information based on the score value, the subject can know the improvement points of his / her exercise habits.

1 ... Health management system, 2 ... Health management device, 7 ... Activity meter, 8 ... Communication device, 10 ... Data acquisition unit, 16 ... Exercise intensity acquisition unit, 20 ...・ ・ Measurement data storage unit, 22 ・ ・ ・ Evaluation value holding unit, 30 ・ ・ ・ Processing unit, 32 ・ ・ ・ Duration derivation unit, 34 ・ ・ ・ Exercise days derivation unit, 36 ・ ・ ・ Exercise number derivation unit, 38 ... Exercise evaluation value calculation unit, 40 ... Score value determination unit, 50 ... Information provision unit.

Claims (5)

The exercise intensity acquisition unit that acquires the exercise intensity derived from the activity meter used by the subject together with the time information,
From the exercise intensity and time information acquired by the exercise intensity acquisition unit, a duration derivation unit for deriving the duration of the exercise belonging to the same exercise intensity category and the duration derivation unit.
An exercise days derivation unit that derives the number of exercise days in which the exercise indicated by the combination of the exercise intensity classification and the duration classification is performed within a predetermined number of consecutive days,
The intensity evaluation value associated with each category when the exercise intensity is divided into multiple categories, the time evaluation value associated with each category when the duration is divided into multiple categories, and each category when the number of days is divided into multiple categories. An evaluation value holding unit that holds evaluation value information including the number of days evaluation value associated with
Using the evaluation value information held in the evaluation value holding unit, the exercise evaluation value for each of the plurality of types of exercises indicated by the combination of the exercise intensity classification and the duration classification is derived by the exercise days derivation unit. An exercise evaluation value calculation unit that calculates based on the number of exercise days performed,
A health management device characterized by being equipped with. The exercise evaluation value calculation unit calculates the exercise evaluation value based on the multiplication result obtained by multiplying the intensity evaluation value, the time evaluation value, and the number of days evaluation value associated with the derived exercise days.
Among the exercise evaluation values for each of the plurality of types of exercises calculated by the exercise evaluation value calculation unit, the score value determination unit that determines the score value as an index indicating the status of exercise habits by using the largest exercise evaluation value is used. , Further prepare,
The health management device according to claim 1. The exercise intensity acquisition unit that acquires the exercise intensity derived from the activity meter used by the subject together with the time information,
From the exercise intensity and time information acquired by the exercise intensity acquisition unit, a duration derivation unit for deriving the duration of the exercise belonging to the same exercise intensity category and the duration derivation unit.
An exercise days derivation unit that derives the number of exercise days in which the exercise indicated by the combination of the exercise intensity classification and the duration classification is performed within a predetermined number of consecutive days,
An evaluation that retains evaluation value information including the intensity evaluation value associated with each category of exercise intensity, the time evaluation value associated with each category of duration, and the number of days evaluation value associated with each category of exercise days. Value holding part and
The exercise evaluation value for each of the plurality of types of exercise indicated by the combination of the exercise intensity classification and the duration classification is the intensity evaluation value held in the evaluation value holding unit, the time evaluation value, and the derived number of exercise days. The exercise evaluation value calculation unit that calculates based on the multiplication result by multiplying the number of days evaluation value associated with
A score value determination unit that determines a score value that is an index indicating the status of exercise habits by using the largest exercise evaluation value among the exercise evaluation values for each of the plurality of types of exercises calculated by the exercise evaluation value calculation unit. ,
A health management device characterized by being equipped with. The exercise number deriving unit for deriving the number of exercises performed in a predetermined number of consecutive days for the exercise indicated by the combination of the exercise intensity classification and the duration classification is further provided.
The exercise evaluation value calculation unit calculates the exercise evaluation value by multiplying the multiplication result by the number of times evaluation value associated with the derived number of exercises.
The health management device according to claim 2 or 3. An information providing unit that provides information based on the score value determined by the score value determining unit to the target person is further provided.
The health management device according to any one of claims 2 to 4.

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