JP5558216B2 - Health management device, health management control program, and recording medium - Google Patents

Description

  The present invention relates to a health management device and a health management control program for presenting a user with a period during which a change in the user's physical condition has a specific tendency.

  With the recent increase in people's interest in health and the development of various health appliances, various systems related to health management have been proposed. For example, Patent Literature 1 acquires health information such as a health target created by a user, data from various measuring devices such as a weight scale and a sphygmomanometer on the Internet. There has been proposed a technique for comparing and analyzing the actual value, detecting an abnormal value of the data from the result, and providing a prepared advice related to the abnormal value.

JP 2008-262504 A (released on October 30, 2008)

  A user may practice a diet by improving meal contents as part of health management. However, even if the diet is successfully improved by improving the meal content, the weight may increase suddenly or gradually over a certain period of time by further changing the meal content. is there. When the user realizes an increase in weight and wants to know the period of successful dieting in order to refer to the dietary content of the period of successful dieting when trying to improve the dieting content again There is.

  It takes a lot of time and effort to find a period in which the user has realized weight gain and succeeded in dieting before. Specifically, for example, the weight recorded for a long period of time is first displayed in a line graph, the display scale of the horizontal axis is changed to 3 months, 6 months, and 1 year, or the date is changed, etc. From the weight trend graph, a period in which the weight is in a decreasing tendency is visually searched. When a period in which the body weight tends to decrease is found from the body weight trend graph, the display scale on the horizontal axis is changed from 1 year to half a year, 3 months, 1 month, and 1 week to a scale that makes the date easy to understand. Then, while switching the displayed date, it is necessary to go back to the period in which the body weight found by the user finds a decreasing tendency and to search for a specific date. Furthermore, when there are a plurality of periods in which the body weight tends to decrease, it is necessary to repeat the work, and it is very troublesome to search for a specific date in the corresponding period.

  Moreover, the technique of the said patent document 1 compares and analyzes the target and performance with respect to a user's health, Comprising: A diet success period, for example, a period when a user's weight is in the decreasing tendency, is not extracted automatically.

  Therefore, the present invention has been made in view of the above-mentioned problems, and its purpose is to automatically extract a diet success period from accumulated body data and indicate to the user when the diet success period is. It is to provide a health management device to be presented.

  In order to solve the above problems, a health management device according to the present invention includes a data acquisition unit that acquires physical data, a data recording unit that records the acquired physical data, and a continuous data stored in the data recording unit. A period in which analysis data is created from one or more body data corresponding to one or more days, the change in the analysis data is analyzed, and the change in the analysis data is within a predetermined range Analysis means for extracting the information, and display means for displaying information indicating the period extracted by the analysis means.

  Here, “from one or more body data corresponding to one or more consecutive days” means that if there is a day in which there is no corresponding body data in “one or more consecutive days”, each of the remaining days It is intended to use body data corresponding to.

  According to the above configuration, the health management device acquires the user's body data by the data acquisition means. The health management device records the acquired user physical data in the data recording means. Analytical data is created using one or more body data corresponding to one or more consecutive days accumulated in this manner. The health management device analyzes the variation of the analysis data, and extracts a period in which the variation indicates a variation within a predetermined range. The health management device displays information indicating the extracted period on the display means. Thereby, it is possible to automatically extract a period in which the accumulated body data has a specific fluctuation tendency and present the period to the user.

  For example, by using the measured body weight data as body data and defining a range of change in which the body weight tends to decrease as a variation within a predetermined range, the user can increase the diet success period based on his body data. It is easy to know. By knowing the diet success period, the user can know the meal contents when the diet was successful by referring to his / her notebook or diary that records the meal contents. It is possible to execute the diet based on the above again.

  In the health management apparatus of the present invention, the analysis data is moving average data for a predetermined number of days, and the analysis means is a fluctuation within a predetermined range in which the continuous moving average data varies. By determining whether or not there is a configuration, it is possible to analyze the fluctuation of the moving average data.

  In the health management apparatus of the present invention, the analysis unit may further display the transition of the physical data in the period and the recent transition of the physical data on the display unit for comparison.

  According to the above-described configuration, the user can check at a glance how much weight there was between the period when the diet was successful and the recent period. This makes it possible to alert the user to the recent situation.

  In the health management apparatus of the present invention, the data acquisition unit further acquires meal data, the data recording unit further records the acquired meal data, and the analysis unit stores the meal data in the period. It is preferable to further display the trend on the display means.

  According to the above configuration, the user can know, for example, the diet success period and also the meal trends during that period. Thereby, the user can easily practice again the diet based on the meal contents when the diet is successful.

  In the health management apparatus of the present invention, it is preferable that the analysis unit further displays the recent trend of the meal data on the display unit.

  According to the said structure, the user can know the trend of the recent meal simultaneously with the trend of the meal in the period when the diet was successful, for example. Thereby, the user can confirm at a glance what kind of difference is in the content of the meal between the diet success period and the recent period. In addition, the user can be alerted to recent situations.

  Here, in the health management device of the present invention, the acquisition unit acquires the meal data for each meal category of breakfast, lunch, dinner, and snacks, and the analysis unit stores the meal data for the period for each meal category. It is also possible to display the latest trend and recent trend of the meal data on the display means.

  Alternatively, in the health management device of the present invention, the acquisition unit acquires the meal data for each meal category, and the analysis unit stores the trend of the meal data in the period and the recent meal data for each meal category. The configuration may be such that the trend is displayed on the display means.

  In the present specification, the “meal category” means that each meal item is classified into a staple food and a supplementary food, and the supplementary food is classified into a vegetable, a meat, a seafood, and the like.

  According to these configurations, it is possible to know when, what, how much, and a specific dietary tendency.

  In the health management device of the present invention, the meal data may be data indicating at least one of intake calories, nutrients of meals taken, and meal items.

  In the health management apparatus of the present invention, the meal data is data indicating at least one of nutrients and meal items of the meal taken, and the recording means has a good meal balance. The reference data indicating such a determination criterion is recorded, the analysis means determines whether or not the meal balance is good with reference to the reference data and the meal data of the period, and the determination result Based on the determination result, the number of days in which the meal balance in the period is good is calculated, the meal balance is determined with reference to the reference data and the recent meal data, and the latest meal is determined based on the determination result. The number of days with good balance may be calculated, and the number of days with good meal balance may be displayed on the display means.

  According to the said structure, since a user can know the tendency of a diet success and the tendency of the recent meal balance, for example, a healthier diet can be practiced.

  In the health management device of the present invention, the meal data is data indicating calorie intake, and the recording means records target intake calorie data indicating a predetermined target intake calorie, and the analysis means However, the target intake calorie data may be compared with the meal data for the period, the target intake calorie data may be compared with the recent meal data, and the respective comparison results may be displayed on the display means. .

  According to the above configuration, for example, the diet success period and the latest calorie intake can be compared from the viewpoint of target calorie intake. Therefore, the user can practice dieting using the achievement level of the target calorie intake during the diet success period as an index.

  The health management device may be realized by a computer. In this case, a health management control program for realizing the health management device in the computer by operating the computer as the analysis unit and the data acquisition unit, and a computer-readable recording medium recording the health management control program are also provided. It falls into the category of the invention.

  As described above, the health management device according to the present invention creates analysis data from one or more body data corresponding to one or more consecutive days stored in the data recording means, and detects fluctuations in the analysis data. Analyzing means for analyzing and extracting a period in which the variation of the analysis data is a variation within a predetermined range is provided.

  Therefore, it is possible to automatically extract a period in which fluctuations in the body state tend to have a specific tendency and present information related to the period to the user. As a result, the user can easily know, for example, the period during which the diet was successful.

It is a block diagram which shows the structure of the diet analyzer in one Embodiment of this invention. It is a figure which shows the graph showing the value of the weight data, and the value of moving average data. It is a figure which shows the display content showing the diet success period displayed on the diet analyzer in one Embodiment of this invention. It is a figure which shows another display content showing the diet success period displayed on the diet analyzer in one Embodiment of this invention. It is a figure which shows the display content showing the diet success period and the average weight of the period displayed on the diet analyzer in another embodiment of this invention. It is a figure which shows the display content showing the transition of the diet success period and the recent weight displayed on the diet analyzer in further another embodiment of this invention. It is a figure which shows the display content showing the trend of a diet success period and the recent calorie intake displayed on the diet analyzer in further another embodiment of this invention. It is a figure which shows the display content which represents the diet success period and the log | history of the recent meal item according to the meal category displayed on the diet analyzer in further another embodiment of this invention. It is a figure which shows the display content showing the diet success period and the log | history of the recent meal item displayed on the diet analyzer in further another embodiment of this invention. It is a figure which shows the display content which represents the diet success period and the trend of the recent meal content classified by meal category displayed on the diet analyzer in further another embodiment of this invention. It is a figure which shows an example of a meal balance guide.

[Embodiment 1]
An embodiment of the present invention will be described below with reference to FIGS.

  First, the configuration of a diet analyzer (health management device) in the present embodiment will be described with reference to FIG.

  FIG. 1 is a block diagram showing a schematic configuration of a diet analyzer according to the present embodiment.

  As shown in FIG. 1, a diet analysis apparatus 10 according to the present embodiment includes a data acquisition unit (data acquisition unit) 104, a data recording unit (data recording unit) 101, a diet analysis unit (analysis unit) 102, and A display unit (display unit) 103 is provided.

  As the diet analysis apparatus 10, for example, mobile terminals such as mobile phones, smartphones, electronic dictionaries and electronic books, and terminal devices such as personal computers and servers equipped with a monitor can be used.

(Data acquisition part)
The data acquisition unit 104 is a module for acquiring user body data such as weight. The body data can be acquired by providing a manual input means such as a keyboard in the diet analysis device 10 and acquiring it by a user's manual input. Examples include a method of acquiring by wired communication, a method of recording physical data in an external memory, and acquiring the external memory by connecting to the diet analyzer 10. When body data is recorded in an external memory and the external memory is acquired by connecting to the diet analyzer 10, the body data recorded in the external memory may be copied to the data recording unit 101 of the diet analyzer 10 Alternatively, the connected external memory may be used as the data recording unit 101. Since any of the above-described methods for acquiring physical data can be realized by using a well-known technique, detailed description thereof is omitted in this specification.

  The data acquisition unit 104 records the acquired body data in the data recording unit 101 in association with the date on which the body data was measured (acquired).

  The body data is data indicating the state of the user's body, which is used to analyze whether the diet has been successful. In the present embodiment, body weight data, which is a measured value of body weight, is used as the body data. However, for example, data indicating measured values such as body fat percentage, muscle percentage, and abdominal circumference may be used. Is possible.

(Data recording part)
The data recording unit 101 records conditions used when extracting the body data and the diet success period acquired by the data acquisition unit 104. As the data recording unit 101, for example, a recording device such as a hard disk, a flash memory, and a RAM (Random Access Memory) can be used.

  The physical data acquired by the data acquisition unit 104 can be stored in a table in association with the date on which the physical data was measured.

(Diet Analysis Department)
The diet analysis unit 102 is a module for extracting a period in which the body weight tends to decrease using the body weight data recorded and accumulated in the data recording unit 101. For example, a device such as a central processing unit (CPU) can be used as the diet analysis unit 102.

  Here, the processing executed by the diet analysis unit 102 will be described with reference to a specific example.

  The diet analysis unit 102 first sets the number of days retroactive to 360 days from the previous day of the current day as the “analysis target period”, refers to the weight data in this analysis target period, and sets the moving average data (analysis data for 15 days). ). For example, when the current date is December 27, 2009, the diet analysis unit 102 sets the analysis target period from January 1, 2009 to December 26, 2009, and a moving average of 15 days. The period in which the data is created is from January 15, 2009 to December 26, 2009. In this embodiment, the period to be analyzed is “the number of days retroactive to 360 days from the day before the current day” and the number of days for creating the moving average data is “15 days”. However, the present invention is not limited to this. Any number of days may be used as long as the developer and user have determined that it is appropriate.

  Next, the diet analysis unit 102 starts the analysis from the data of the moving average of 15 days on January 15, 2009, and uses the data of the moving average of 15 days for the target data as the target data. Whether the target data satisfies a predetermined condition as compared with the comparison data is determined by using the moving average 15-day data of the previous day as comparison data. This is performed for all moving average data for which comparison data exists, and a diet success period is extracted based on all determination results.

  More specifically, first, the diet analysis unit 102 sets the target data to 15-day moving average data on January 16, 2009, which is the next data after the 15-day moving average data on January 15, 2009. Using the moving average 15-day data of January 15, 2009, which is the previous data of the target data, as comparison data, the target data is compared with the comparison data, and the target data is compared with the comparison data. It is determined whether or not the condition of less than 0.1% is satisfied. When the target data satisfies the condition of an increase rate of less than 0.1% compared to the comparison data, the diet analysis unit 102 determines that the diet is successful and records the determination result in the data recording unit 101. Here, “less than 0.1% increase rate” includes a case where the target data and the comparison data show the same value and a case where the target data shows a value smaller than the comparison data. Subsequently, the target data and the comparison data are shifted one by one to data close to the current date, and the same determination is performed. That is, the same determination is performed using the data for the moving average of 15 days on January 17, 2009 as the target data and the data for the moving average of 15 days of January 16, 2009 as the comparison data. The diet analysis unit 102 repeats this determination process until the target data becomes data for a moving average of 15 days on December 26, 2009.

  The diet analysis unit 102 refers to all the determination results recorded in the data recording unit 101 to check whether or not there is a period that satisfies the above conditions for 30 days or more. Extracted as “Diet Success Period”. In the present embodiment, a period that satisfies the conditions continuously for “30 days” or more is extracted as a diet success period, but the period is not limited to 30 days, and it is determined that the developer and the user are appropriate. Any number of days may be used. For example, it may be defined that the condition is continuously satisfied for “10 days” or more. Note that the minimum number of days for defining the diet success period, the number of days for creating the moving average data, and the number of days for the analysis target period may be determined in advance, or may be appropriately changed by input from the user. You may do it.

  When there are a plurality of periods that satisfy the above conditions for 30 consecutive days, the diet analysis unit 102 may extract each period as a “diet success period”, that is, extract a plurality of “diet success periods”. Alternatively, other conditions may be set and any one period may be extracted as the “diet success period”. For example, a period having the smallest weight data among a plurality of periods can be extracted as a “diet success period”. Furthermore, when there are a plurality of periods having the smallest weight data, for example, a period including the day having the oldest start date (the farthest from the current day) is extracted as the “diet success period”. Or a period including the day with the latest start date (closest to the current date) may be extracted as the “diet success period”.

  FIG. 2 is a diagram showing a graph in which measured values of weight and moving average data for 15 days are plotted with the date as the horizontal axis. As shown in FIG. 2, even when the actual measured value of the body weight is repeatedly increased or decreased every day, or even when there are days when the actual measured value of the body weight is not obtained, by using the moving average data, The data is smoothed and it becomes possible to easily find a period when the weight tends to be decreasing.

  The diet analysis unit 102 outputs the extracted period information to the display unit 103 in a format that the display unit 103 can display.

  The diet analysis unit 102 can further calculate the average weight in the diet success period with reference to the weight data in the diet success period. When the average weight is calculated, it is output to the display unit 103 together with the extracted diet success period information in a format that the display unit 103 can display.

  On the other hand, when there is no period that satisfies the above condition for 30 consecutive days, the diet analysis unit 102 determines that the diet success period did not exist. Then, data for causing the display unit 103 to display a confirmation message such as “There is no diet success period that satisfies the condition” is output to the display unit 103.

(Display section)
The display unit 103 is an interface for presenting various information output from the diet analysis unit 102 to the user, and is a display device such as an LCD (liquid crystal display).

  The display unit 103 presents the diet success period extracted by the diet analysis unit 102 to the user using characters, a calendar, and the like.

  3-5 is a figure which shows an example of the display screen of the display part 103 which has displayed the extracted diet success period. FIG. 3 shows an example in which the diet success period is presented only by characters. FIG. 4 shows an example in which the diet success period is presented by a calendar display, and the days corresponding to the diet success period are indicated by marking. On the other hand, FIG. 5 shows an example in which the average weight of the diet success period is presented together with the diet success period.

  As described above, according to the diet analysis device 10 in the present embodiment, the moving average data is created from the weight data, the moving average data is analyzed, and the period in which the diet is successful based on the analysis result Is automatically extracted. Then, the extracted period information can be presented to the user via the display unit 103.

  As described above, in the conventional method, it has been very troublesome to search for a specific date in a period in which the body weight is decreasing. On the other hand, the diet analysis apparatus 10 according to the present embodiment can automatically extract a diet success period using body data, display the period, and present it to the user. You can easily know the diet success period. If the user knows the diet success period, he / she can know the meal contents when the diet was successful by referring to his / her notebook or diary that records the meal contents, and the diet based on the contents Can be executed again. In addition, it is possible to reflect on one's own life, which leads to behavioral change and facilitates self-analysis.

[Embodiment 2]
The following will describe another embodiment of the present invention with reference to FIG. For convenience of explanation, members having the same functions as those used in the above-described embodiment are denoted by the same reference numerals, and description thereof is omitted.

  In the above-described embodiment, the diet analysis apparatus 10 displays the diet success period, or the diet success period and the average weight in this period. However, in the diet analysis apparatus 10 in the present embodiment, the diet success period. , And a comparison of the change in weight and the recent change in weight during a successful diet period.

  Here, “recently” represents a period that goes back from the previous day of the current day (here, the current day is described as December 27, 2009) by the same number of days as the number of days extracted as a successful diet period. . For example, when 30 days from May 25, 2009 to June 23, 2009 are extracted as the diet success period, the diet analyzer 10 causes the day before the current date to be from December 26, 2009 to 2009. The 30 days of November 27, 2015 are defined as “Recent”. When multiple diet success periods are extracted, either the number of days with the most diet success period or the number of days with the least number of diet success periods shall be used. May be appropriately selected. By the way, the definition of “recent” is not limited to this. For example, it may be a period retroactive from the current day, not a period retroactive from the previous day. Further, it may be a period retroactive by an arbitrary number of days specified by the user.

  After extracting the diet success period, the diet analysis unit 102 defines the “recent” period based on the number of days in the extracted period. Next, the weight data in the successful diet period and the recent weight data are extracted from the data recording unit 101, and output to the display unit 103 in a format that the display unit 103 can compare and display. At this time, as in the above-described embodiment, the display unit 103 may display character information indicating the diet success period and the “recent” period, and the average weight in each period.

  FIG. 6 is a diagram showing the contents of a display screen that displays a comparison of changes in weight during each period. As shown in FIG. 6, in the present embodiment, the weight transition during the diet success period and the recent weight transition are displayed as a weight comparison graph 401 represented by a line graph. In addition, by showing the average weight in each period, the user can confirm at a glance how much weight difference between the recent period and the diet success period. This makes it possible to alert the user to the recent situation.

[Embodiment 3]
The following will describe another embodiment of the present invention with reference to FIG. For convenience of explanation, members having the same functions as those used in the above-described embodiment are denoted by the same reference numerals, and description thereof is omitted.

  In the above-described second embodiment, the diet analyzer 10 displays the diet success period and the transition of the weight data during that period. However, in the diet analyzer 10 according to the present embodiment, the calorie intake by the user is displayed. Data to be shown (hereinafter referred to as calorie intake data) is further acquired and the diet success period is displayed, and the trend of calorie intake during the diet success period and the trend of recent calorie intake are compared and displayed.

  The data acquisition unit 104 in the diet analysis apparatus 10 according to the present embodiment acquires intake calorie data (meal data) in addition to the user weight data, and records the acquired intake calorie data in the data recording unit 101. The intake calorie data is acquired by providing the diet analyzer 10 with a manual input means such as a keyboard and manually acquiring the intake calorie data, recording the intake calorie data in an external memory, and storing the external memory in the diet analyzer 10. The method of acquiring by connecting to is mentioned. When recording calorie intake data in an external memory and connecting the external memory to the diet analyzer 10, the calorie intake data recorded in the external memory is copied to the data recording unit 101 of the diet analyzer 10. Alternatively, the connected external memory may be used as the data recording unit 101. Since any of the above-described methods for acquiring intake calorie data can be realized by using a well-known technique, detailed description thereof is omitted in this specification. The data acquisition unit 104 records the acquired intake calorie data in the data recording unit 101 in association with the date of intake of the calorie indicated by the intake calorie data.

  The calorie intake data can also be acquired for each meal category of breakfast, lunch, dinner, and snacks.

  The data acquisition unit 104 extracts the diet success period using the weight data. After extracting the diet success period, the “recent” period is defined based on the number of days in the extracted period. Note that the method of defining “recent” in the present embodiment is the same as that in the second embodiment, and a description thereof will be omitted. Next, the calorie intake data and the latest calorie intake data during the successful diet period are extracted from the data recording unit 101 and output to the display unit 103 in a format that the display unit 103 can display in comparison. At this time, the display unit 103 may display the character information indicating the diet success period and the “recent” period, and the average calorie intake during each period.

  FIG. 7 is a diagram illustrating the contents of a display screen that displays a comparison of the trend of calorie intake during each period. As shown in FIG. 7, in this embodiment, the trend of calorie intake during the diet success period and the recent trend of calorie intake are displayed as a calorie intake comparison graph 402 represented by a line graph. In addition, the average calorie intake during each period is shown as character information. The average calorie intake is calculated by the diet analysis unit 102 with reference to the calorie intake data extracted from the data recording unit 101.

  As described above, the user can confirm at a glance how much calorie intake difference has existed between the recent period and the successful diet period. This makes it possible to alert the user to the recent situation.

  Furthermore, the diet analyzer 10 records data indicating a predetermined target calorie intake (hereinafter, target calorie data) in the data recording unit 101 and also displays the target calorie intake on the display unit 103. Is also possible. At this time, the target calorie intake may be given a range. In FIG. 7, the target calorie intake is set to “2200 kcal” and is displayed with a broken line in the calorie intake comparison graph 402. Moreover, the width | variety given to the target calorie intake is shown by shading in FIG.

  Furthermore, the diet analysis unit 102 of the diet analysis apparatus 10 in the present embodiment compares the target intake calorie data with the intake calorie data of the diet success period, compares the target intake calorie data with the latest intake calorie data, It is also possible to display each comparison result on the display unit 103. For example, calculate the number of days that the target calorie intake during the diet period was achieved by referring to the target calorie data and the calorie intake data during the diet success period, and refer to the target calorie data and the latest calorie intake data It is also possible to calculate the number of recent days when the calorie has been achieved and to display the respective days on which the target calorie intake has been achieved on the display unit 103 for comparison. Here, “achieving the target intake calorie” means that the intake calorie was equal to or less than the target intake calorie. Alternatively, referring to the target calorie intake data and the intake calorie data, instead of calculating the number of days for which the target calorie intake has been achieved, the comparison is made to display the number of days of intake of excess calories than the target intake calorie. Also good.

  The comparison display method may be displayed as character information, or may be displayed in a calendar for comparison.

  In the present embodiment, the information on the diet success period and the latest calorie intake are compared and displayed, but only the information on the calorie intake during the diet success period may be displayed. This also applies to other embodiments described later.

[Embodiment 4]
The following will describe another embodiment of the present invention with reference to FIGS. For convenience of explanation, members having the same functions as those used in the above-described embodiment are denoted by the same reference numerals, and description thereof is omitted.

  In the third embodiment described above, the calorie intake data is acquired in addition to the weight data, and the trend of the calorie intake during the diet success period and the trend of the recent calorie intake are compared and displayed. The diet analysis apparatus 10 in FIG. 2 acquires data (hereinafter referred to as “meal menu data”) indicating the items of meals taken, and compares and displays the history of meal items taken during the diet success period and the history of recent meal items. .

  The data acquisition unit 104 in the diet analysis apparatus 10 according to the present embodiment acquires meal menu data (meal data) in addition to the user weight data. The acquisition of meal menu data is the same as the acquisition of intake calorie data in the above-described third embodiment, and thus description thereof is omitted. The data acquisition unit 104 records the acquired meal menu data in the data recording unit 101 in association with the date of eating the meal indicated by the meal menu data.

  Meal menu data can also be acquired for each meal category of breakfast, lunch, dinner, and snacks.

  After extracting the diet success period using the weight data, the data acquisition unit 104 defines the “recent” period based on the number of days in the extracted period. Next, meal menu data and recent meal menu data in the diet success period are extracted from the data recording unit 101 and output to the display unit 103 in a format that the display unit 103 can compare and display.

  FIG. 8 shows a display screen that compares and displays meal items (meal history) taken each day in each period by meal category for breakfast, lunch, dinner, and snacks based on meal menu data in each period. FIG. 8 shows a state in which breakfast is displayed. FIG. 9 is a diagram showing the contents of a display screen that compares and displays the meal histories of all breakfast, lunch, dinner, and snacks in each period. As shown in FIGS. 8 and 9, in the present embodiment, both the meal history and the recent meal history during the diet success period are displayed simultaneously. For example, according to the display shown in FIG. 8, in the breakfast on May 25 and May 26 of the diet success period, what items are eaten and how much calories are consumed. As well as knowing what items were eaten and how much calories were consumed in the recent breakfast on November 27 and November 28. Therefore, it is possible to recognize a difference in meal contents and a difference in intake calories in each period at a glance. As shown in FIGS. 8 and 9, the switching of meal categories displayed on the display unit 103 includes an icon indicating each meal category and an icon for not dividing the meal category (“all meals” in the figure). It is displayed on the screen and switched by selecting the icon. In addition, when displaying a meal history, you may use not only the meal menu data in a diet success period but the meal menu data of several days (for example, 7 days) before a diet success period start.

  The meal menu data may include information on the calories of the item corresponding to each item of the meal indicated in the meal menu data. In this case, when the diet analysis unit 102 displays each item on the display unit 103, the calorie information can also be displayed.

  The diet analysis unit 102 can also cause the display unit 103 to display the number of meal menus adopted, which is the number of meal items taken, for each meal category or not divided into meal categories. Further, when data indicating the total number of meal menus is recorded in the data recording unit 101 in advance, the adoption rate for the total number of meal menus is calculated using this data, and the result is displayed on the display unit 103. It is also possible. Moreover, the diet analysis part 102 can also show a meal tendency by comparing and displaying only information on alcohol intake, comparing and displaying only high-calorie meals, or comparing specific meal items.

  Furthermore, the data acquisition unit 104 of the diet analysis apparatus 10 in the present embodiment can also acquire meal menu data for each meal category. The meal menu data acquired by the data acquisition unit 104 can be collected in a table and stored in the data recording unit 101 in association with the date and meal category of the meal.

  In this case, the diet analysis unit 102 extracts the diet success period using the weight data, defines the “recent” period based on the number of days of the extracted period, and then stores the meal menu data in each period as the data recording unit 101. Extract from The diet analysis unit 102 refers to the extracted meal menu data, and calculates the total number of staple foods and supplementary foods in each referenced data for each period. When the total number of meal menus (meal items) for each meal category is recorded in the data recording unit 101 in advance, the diet analysis unit 102 takes how many meal menus the total number of meal menus. The adoption rate representing whether or not is calculated and the result is displayed on the display unit 103.

  FIG. 10 is a diagram showing the contents of a display screen that displays a comparison of the dietary trends of the staple food and the secondary foods in each period. As shown in FIG. 10, in the present embodiment, the total number (adopted number) of the staple food and the supplementary foods in each period is displayed as a comparison table 601. In FIG. 10, the total number of “main staple” meal menus recorded in advance in the data recording unit 101 is 50, and the number of “main staple” meal menus used during the diet success period is 33. It is displayed that the number of adopted meal menus is 25, and the adoption rates are 66% and 50%, respectively. According to the display content shown in FIG. 10, it can be seen at a glance that he / she took more types of “staple food” than recently in the diet success period, and can know his own meal bias. Thereby, the user can practice dieting more healthily.

  Further, the diet success period and the recent meal history may be compared and displayed for each meal category. Thereby, the tendency of a meal can be known in detail.

  As described above, according to the present embodiment, the user has consumed or consumed “when (breakfast, lunch, dinner, or snack)”, “what”, “how much” during the diet success period and recently. You will be able to find out how much calories you have and your specific dietary trends. Therefore, the user can be alerted to the recent situation.

  As another example, the data acquisition unit 104 may acquire data including information on nutrients in the ingested meal (hereinafter, nutrient data) in addition to the weight data. Nutrient information is based on calorie, serving value (SV value) of meal balance specified by the Ministry of Health, Labor and Welfare and the Ministry of Agriculture, Forestry and Fisheries, and the 5th revised Japanese food standard ingredient table specified by the Ministry of Education It represents existing nutritional information such as information on food ingredients and information in Tables 1 to 6 in the “Dietary Exchange Table for Food Diabetes Sixth Edition” edited by the Japan Diabetes Society.

  The diet analysis unit 102 extracts the diet success period and defines the “recent” period, and then the nutrient data (meal data) acquired by the data acquisition unit 104 and recorded in the data recording unit 101 is recorded in the data recording unit 101. And output to the display unit 103 in a format that the display unit 103 can compare and display.

  Furthermore, the diet analysis device 10 has pre-recorded reference data indicating criteria for determining whether or not the meal balance is good in the data recording unit 101, and the diet analysis unit 102 includes the reference data and nutrients during the diet success period. Refer to the data to determine whether the meal balance is good, calculate the number of days with a good diet balance during the diet success period based on the determination result, and refer to the reference data and recent nutrient data And determining whether or not the meal balance is good, calculating the number of days that the recent meal balance is good based on the determination result, and displaying each day with the good meal balance on the display unit 103. Also good.

  The determination of whether or not the meal balance is good is, for example, when the nutrient ingested by the user indicated by the nutrient data on a certain day is within the reference value indicated by the reference data, Can be determined. As the reference value, for example, a reference value called “Japanese food intake standard” provided by the Ministry of Health, Labor and Welfare for each user attribute can be used.

  Alternatively, a meal balance guide created jointly by the Ministry of Health, Labor and Welfare and the Ministry of Agriculture, Forestry and Fisheries may be used to analyze the daily meal content and determine whether the meal balance is good. For example, FIG. 11 is a view showing a table of “appropriate range of energy-based meal balance guide” included in the meal balance guide. A table indicating the appropriate range and target intake calorie data are recorded in the data recording unit 101 in advance. The diet analysis unit 102 refers to the table indicating the appropriate range and the target intake calorie data, and calculates the appropriate range of each meal balance (SV value) of the user. The diet analysis unit 102 calculates a daily meal balance (SV value) from meal menu data input by the user. In addition, since the staple food SV, the side dish SV, the main dish SV, the fruit SV, the milk / dairy product SV, and the like are determined by each meal menu, the meal menu list including the SV value is recorded in the data recording unit 101 in advance. By doing so, the meal balance (SV value) can be easily calculated from the meal menu data. The diet analysis unit 102 compares the calculated daily SV value with the table shown in FIG. As a result of the comparison, if the calculated daily SV value is within the appropriate range shown in FIG. 11, it is determined that the meal balance is good. Further, by adding a preference item flag to the meal menu in advance, the preference item can be extracted and compared with the calorie of the “preference item” shown in FIG.

  Similarly, by adding the information in Table 1 to Table 6 in the above-mentioned publication edited by the Japan Diabetes Society to the meal menu, the information in Table 1 to Table 6 in the above-mentioned publication can be used to balance the meal. It is possible to determine whether it is a good day.

(Additional notes)
The present invention is not limited to the above-described embodiments, and various modifications are possible within the scope shown in the claims, and embodiments obtained by appropriately combining technical means disclosed in different embodiments. Is also included in the technical scope of the present invention.

  For example, each block of the health management device 10 may be configured by hardware logic, or may be realized by software using a CPU as follows.

  That is, the health management device 10 includes a CPU that executes instructions of a control program that realizes each function, a ROM (Read Only Memory) that stores the program, a RAM that expands the program, a memory that stores the program and various data And a storage device (recording medium). An object of the present invention is to provide a recording medium in which a program code (execution format program, intermediate code program, source program) of a control program of the health management apparatus 10 which is software that realizes the above-described functions is recorded so as to be readable by a computer. This can also be achieved by supplying the health management apparatus 10 and reading and executing the program code recorded on the recording medium by the computer (or CPU or MPU).

  Examples of the recording medium include a tape system such as a magnetic tape and a cassette tape, a magnetic disk such as a floppy (registered trademark) disk / hard disk, and an optical disk such as a CD-ROM / MO / MD / DVD / CD-R. Card system such as IC card, IC card (including memory card) / optical card, or semiconductor memory system such as mask ROM / EPROM / EEPROM / flash ROM.

  Moreover, the health management apparatus 10 may be configured to be connectable to a communication network, and the program code may be supplied via the communication network. The communication network is not particularly limited. For example, the Internet, intranet, extranet, LAN, ISDN, VAN, CATV communication network, virtual private network, telephone line network, mobile communication network, satellite communication A net or the like is available. Further, the transmission medium constituting the communication network is not particularly limited. For example, even in the case of wired such as IEEE 1394, USB, power line carrier, cable TV line, telephone line, ADSL line, etc., infrared rays such as IrDA and remote control, Bluetooth ( (Registered trademark), 802.11 wireless, HDR, mobile phone network, satellite line, terrestrial digital network, and the like can also be used. The present invention can also be realized in the form of a computer data signal embedded in a carrier wave in which the program code is embodied by electronic transmission.

  ADVANTAGE OF THE INVENTION According to this invention, the health management apparatus which extracts a diet success period automatically, for example, and shows it to a user can be provided. Therefore, it can be applied to all devices for supporting health management.

10 Diet analyzer (health management device)
101 Data recording unit (data recording means)
102 Diet Analysis Department (Analytical Means)
103 Display section (display means)
104 Data acquisition unit (data acquisition means)

Claims (11)

Data acquisition means for acquiring physical data;
Data recording means for recording the acquired physical data in association with information on the acquired date;
Analysis means for creating analysis data from the physical data stored in the data recording means, and extracting a period satisfying both the first condition for the value and the second condition for the period from the analysis data; ,
Display means for displaying information indicating the period extracted by the analysis means ,
The analysis data is moving average data for a predetermined number of days,
Whether the change from the previous day of the moving average data in which the first condition is continuous is a change within a predetermined range,
A health management apparatus , wherein the day when the second condition satisfies the first condition is whether or not a predetermined period is continuously exceeded . The health management apparatus according to claim 1 , wherein the analysis unit further causes the display unit to compare and display the transition of the physical data and the recent transition of the physical data in the period. The data acquisition means further acquires meal data,
The data recording means further records the acquired meal data,
The analyzing means, the health management device according to trends of the meal data in the period, to claim 1 or 2, characterized in that to further displayed on the display means. The health management apparatus according to claim 3 , wherein the analysis unit further causes the display unit to display a recent trend of the meal data. The data acquisition means acquires the above meal data for each meal category of breakfast, lunch, dinner and snacks,
5. The health management apparatus according to claim 4 , wherein the analysis unit causes the display unit to display a trend of the meal data during the period and a recent trend of the meal data for each meal category. The data acquisition means acquires the meal data for each meal category,
5. The health management apparatus according to claim 4 , wherein the analysis unit causes the display unit to display a trend of the meal data in the period and a recent trend of the meal data for each meal category. The health management apparatus according to any one of claims 3 to 6 , wherein the meal data is data including at least one of calorie intake, nutrients of meals taken and meal items. . The meal data is data indicating at least one of nutrients and meal items of the meal taken,
In the data recording means, reference data indicating a criterion for determining whether or not the meal balance is good is recorded,
The analysis means is
Determine whether the meal balance is good with reference to the reference data and the meal data of the period, and based on the determination result, calculate the number of days that the meal balance in the period is good,
Determine whether the meal balance is good with reference to the standard data and the recent meal data, and based on the determination result, calculate the number of days that the recent meal balance is good,
5. The health management apparatus according to claim 4 , wherein the number of days with a good meal balance is displayed on the display means. The above meal data is data indicating calorie intake,
In the data recording means, target intake calorie data indicating a predetermined target intake calorie is recorded,
The analysis means compares the target intake calorie data with the meal data for the period, compares the target intake calorie data with the recent meal data, and causes each display result to be displayed on the display means. The health management device according to claim 4 . A health management control program for operating the health care apparatus according to any one of claims 1 to 9, health management control program for causing a computer to function as the analyzing unit and the data acquisition means. A computer-readable recording medium in which the health care control program according to claim 10 is recorded.

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