JP2007222276A - Health management system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a health management system which determines a degree of overall fatigue of a day from daytime activity data and data during sleep and gives advice to make an improvement by selecting at least one from degrees of influences of two data on the degree of fatigue. <P>SOLUTION: Since the device is equipped with a body information entering means, an activity data acquiring means, a sleep data acquiring means, a means for determining a degree of fatigue of a day, and an advice setting means, the degree of fatigue of a day is evaluated from the daytime activity data and the data during sleep in a comprehensive manner. Since a user knows which improvement is necessary between the improvement in living during the daytime and the improvement in the quality of sleep, the user relieves fatigue in an unwasted manner. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a health management device that provides advice for recovering fatigue level from daytime activity data and sleeping data.

  As a conventional health management device using sleeping data, there is a device that determines a sleep stage by detecting a vital sign during sleep (see, for example, Patent Document 1).

  Similarly, there is a device for evaluating the quality of sleep (see, for example, Patent Document 2).

  In addition, as a health management device using daytime activity data, there is a device that performs health management by calculating necessary calorie intake and calorie consumption, required exercise amount, exercise intensity, and the like (for example, see Patent Document 3). .

Furthermore, there is a device that provides advice for improving daily life based on data during sleep, or conversely, provides advice for quality improvement of sleep based on daytime activity data. (For example, refer to Patent Document 4).
JP-A-8-131408 JP 2003-216734 A Japanese Patent Laid-Open No. 10-118052 JP 2004-113618 A

  However, there is no conventional technique for comprehensively evaluating the daily fatigue level from daytime activity data and sleeping data, and the user can improve the daytime daily life against the daily fatigue level. I didn't know which improvement was necessary for the improvement of sleep quality.

  Therefore, the present invention solves the above-mentioned problems, determines the overall fatigue level of the day from daytime activity data and sleeping data, and based on the degree of influence of the two data on the fatigue level To provide a health management device that provides advice to select and improve at least one.

  In order to solve the above problems, the present invention provides physical information input means for inputting physical information, activity data acquisition means for acquiring data related to daytime activities, sleep data acquisition means for acquiring data related to sleep states, Calculate daily fatigue from daytime activity data and sleeping data, and determine the degree of influence of daytime activity data and sleeping data on the daily fatigue level. And an advice setting means for setting advice for improving at least one of the high degree of influence based on the degree of influence of daytime activity data and sleep data on the degree of fatigue of the day Provide a management device.

  The apparatus further includes a cumulative fatigue level determination means for determining a daily cumulative fatigue level based on the fatigue level.

  The activity data acquisition means includes at least an exercise mode and an exercise time, and an activity score calculating means for classifying the measurement results based on exercise intensity and scoring the daytime activity as an activity score. With.

  The sleep data acquisition means includes means for measuring at least sleep time and sleep efficiency, and a sleep score calculation means for classifying the measurement results based on sleep quality and scoring sleep to obtain sleep points. Prepare.

  The daily fatigue level determination means calculates a value obtained by subtracting the sleep score from the activity score as the daily fatigue level.

  Further, the advice setting means sets advice for the next action based on any one of the latest data in time series among the daytime activity data and the sleeping data.

  The health management device of the present invention includes physical information input means for inputting physical information, activity data acquisition means for acquiring data related to daytime activities, sleep data acquisition means for acquiring data related to sleep states, and daytime The daily fatigue level calculating means for calculating the daily fatigue level from the activity data and the sleeping data, and determining the degree of influence of the daily activity data and the sleeping data on the daily fatigue level, Since there is provided an advice setting means for setting advice for improving at least one of the high degree of influence based on the degree of influence of daytime activity data and sleep data on the daily fatigue level, It is possible to comprehensively evaluate the daily fatigue level from the activity data during sleep and the data during sleep, and the user can improve the daily life and improve the quality of sleep against the daily fatigue level. , For which of the improvement is needed is known, is intended to enable the waste without fatigue recovery.

  In addition, since it further comprises a cumulative fatigue level determination means for determining the daily cumulative fatigue level based on the fatigue level, it is possible to recover fatigue without accumulating daily fatigue. .

  The activity data acquisition means includes at least an exercise mode and an exercise time, and an activity score calculating means for classifying the measurement results based on exercise intensity and scoring the daytime activity as an activity score. And the sleep data acquisition means classifies the measurement results based on the quality of sleep, classifies the measurement results into sleep points, and sets the sleep points as sleep points. The daily fatigue level determination means calculates a daily fatigue level simply by calculating a value obtained by subtracting the sleep score from the activity score as a daily fatigue level. Is possible.

  Further, the advice setting means sets the advice for the next action based on any one of the latest data in time series among the daytime activity data and the sleeping data, If the latest data is sleeping data, advice is set for the daytime activity of the next day, and if the latest data is daytime activity data, advice is set for the day of sleep. It is possible to provide advice that is immediately reflected in the life of the user.

  The health management device of the present invention includes physical information input means for inputting physical information, activity data acquisition means for acquiring data related to daytime activities, sleep data acquisition means for acquiring data related to sleep states, and daytime The daily fatigue level calculating means for calculating the daily fatigue level from the activity data and the sleeping data, and determining the degree of influence of the daily activity data and the sleeping data on the daily fatigue level, And an advice setting means for setting advice for improving at least one of the high degree of influence based on the degree of influence of the daytime activity data and the sleeping data on the fatigue level of the day.

  Further, the apparatus further includes a cumulative fatigue level determination means for determining a daily cumulative fatigue level based on the fatigue level.

  The activity data acquisition means includes at least an exercise mode and an exercise time, and an activity score calculating means for classifying the measurement results based on exercise intensity and scoring the daytime activity as an activity score. And the sleep data acquisition means classifies the measurement results based on the quality of sleep, classifies the measurement results into sleep points, and sets the sleep points as sleep points. The daily fatigue level determination unit calculates a value obtained by subtracting the sleep score from the activity score as the daily fatigue level.

  Embodiment 1 of the present invention determines the daily fatigue level including the degree of influence of each data from daytime activity data and sleeping data, and improves at least the greater degree of influence on the fatigue level. 1 shows an example of a health management device that provides advice.

  First, the configuration of the first embodiment will be described with reference to FIGS. FIG. 1 is a block diagram showing the terminals constituting the health management device and the relationship between the terminals. FIGS. 2, 3 and 4 are respectively an overnight measurement terminal, a portable measurement terminal, and data. It is a block diagram of a management terminal. Referring to FIG. 1, the health management device 1 of the present invention includes an overnight measurement terminal 2 that acquires data during sleep, a portable measurement terminal 3 that acquires daytime activity data, and the sleep data and daytime activity data. And a data management terminal that determines the daily fatigue level including the degree of influence of each data, and generates advice that improves the higher degree of influence on the fatigue level, the overnight measurement terminal 2 and the portable measurement terminal 3 and the data management terminal 4 are each provided with a communication means for transmitting and receiving data.

  Hereinafter, the configuration of each of the terminals 2, 3 and 4 will be described in detail with reference to the block diagrams of FIGS. As shown in FIG. 2, the overnight measurement terminal 2 includes a biological signal measurement unit 2a and a control unit 2b. The biological signal measurement unit 2a includes a mat 20 enclosing an incompressible fluid and a pressure detection unit 21 that detects a pressure fluctuation inside the mat 20, and the control unit 2b A control unit 22 for controlling the operation is provided, and the control unit 22 performs breathing (inspiration) based on a pressure fluctuation signal detected by the operation unit 23 for terminal operation including a measurement on / off switch and the pressure detection unit 21.・ Signal analysis that extracts and analyzes signals derived from the movement of the rib cage and abdominal wall associated with exhalation), signals derived from the pulse (movement associated with the heartbeat), and signals derived from body movement (movement caused by rolling, etc.) Unit 24, sleep state determination unit 25 for determining sleep state such as sleep stage, sleep stage cycle, sleep efficiency, sleep time, and daily sleep time cycle based on the analysis result, the various signals and analysis And judgment results, etc. Storage unit 26 for storing the data, configuring are respectively connected to the communication unit 28 for transmitting and receiving data to and from the display unit 27 and the data management terminal 4 to display various kinds of data and determination results and the like.

  As shown in FIG. 3, the portable measurement terminal 3 includes a control unit 30 that controls the operation of the portable measurement terminal 3, and the control unit 30 calculates the operation unit of the terminal and the calorie intake. An operation / input unit 31 that also functions as an input unit for inputting intake amount, etc., an acceleration detection unit 32 for detecting acceleration fluctuations of the human body during daytime activities, and exercise information (step count, exercise amount, Exercise information acquisition unit 33 for acquiring exercise style, etc., calculation of calorie intake based on the inputted food intake, calculation of calorie consumption based on the exercise information, and balance calorie of the calculated calorie intake and calorie consumption Among the calorie calculation unit 34 for performing the calculation, the storage unit 35 for storing the input, calculation and acquired data, the display unit 36 for displaying each data, and the data management terminal 4. Configuring are respectively connected to the communication unit 37 for transmitting and receiving data. Here, the calorie calculating unit 34 is calculated based on the user's physical information transmitted from the data management terminal 4 to be described later, and the amount of exercise and intake calories necessary for daytime activities and the acquired amount of exercise. And the calorie intake, respectively, and the remaining exercise amount and calorie intake until reaching the necessary exercise amount and calorie intake are calculated. In addition, the portable measuring terminal 3 has a switch that the user presses at the start and end of muscle exercise in order to distinguish between different exercise modes such as “walking” and “running”, for example, “muscle exercise”. It is assumed that the operation and input unit 31 is provided to recognize muscle movement.

  As shown in FIG. 4, the data management terminal 4 includes a control unit 40 that controls the operation of the data management terminal 4, and the control unit 40 measures the physical information of the user separately from the operation unit of the terminal. Operation / input unit 41 that also functions as an input unit for inputting (age, sex, height, weight, body fat percentage, muscle mass, basal metabolic rate, visceral fat percentage), the input, the overnight measurement terminal 2 and the portable measurement terminal 3 Management calculation unit 42 for managing, comparing and calculating various data obtained from the above, an advice setting unit 43 for setting advice data for fatigue improvement based on the results calculated in the management calculation unit 42, the input and A storage unit 44 for storing arithmetic and various data obtained from the overnight measurement terminal 2 and the portable measurement terminal 3 and advice data, a display unit 45 for displaying them, and the overnight measurement terminal 2 and Configuring are respectively connected to the communication unit 46 for transmitting and receiving data to and from each of the portable measuring device 3.

  The management calculation unit 42 includes the following calculation units and determination units. That is, a standard value related to the physical information based on age and sex in the input physical information (for example, standard values of obesity, muscle mass, and basal metabolic rate) and a standard value related to the physical information. A standard value calculating unit 60 for calculating a standard exercise amount, calorie consumption and calorie intake (hereinafter referred to as necessary exercise amount, necessary calorie consumption and calorie intake, respectively) required based on the mobile measurement terminal 3 Applying the exercise information of the daytime activity data measured in the above to the exercise intensity setting table stored in advance in the storage unit 44, and calculating the corresponding exercise intensity as the exercise score, 61 Of the sleep states measured by the overnight measurement terminal 2, the sleep time and the sleep efficiency determination result are compared with the standard sleep time stored in advance in the storage unit 44. The sleep score calculation unit 62 that calculates the difference as the sleep score, determines the daily fatigue level based on the calculated exercise score and sleep score, and accumulates fatigue based on the past fatigue level and the current fatigue level. A fatigue degree determination unit 63 for determining the degree is provided.

  Next, the operation of the health management apparatus 1 according to the first embodiment will be described with reference to FIGS. FIG. 5 is a flowchart showing a main routine of the data management terminal 4 in the health management apparatus 1, FIG. 6 is a flowchart showing a subroutine for the daily fatigue level determination and advice setting operation, and FIG. FIG. 8 is a sleep score table, FIG. 9 is a graph showing the relationship between exercise and sleep scores, fatigue levels, and days as fatigue level determination results, and FIG. 10 is cumulative fatigue levels. It is a flowchart which shows the subroutine of the operation | movement of determination. Here, since the overnight measurement terminal 2 and the portable measurement terminal 3 are each provided with communication units 28 and 37 for data communication with the data management terminal 4 in a known measurement device, the operation procedure is omitted. To do.

  According to FIG. 5, when the data management terminal 4 is turned on, in step S1, it is automatically determined whether physical information is stored in the storage unit 44 and there is no change, and is not stored or changed. If there is, the process proceeds to NO, and in step S2, a guidance for prompting the user to input physical information using the operation / input unit 41 is displayed on the display unit 45 to allow the user to input physical information. When physical information is newly input or changed, in step S3, in the standard value calculation unit 60 of the management calculation unit 42, a standard value related to the physical information based on the age and sex of the physical information, Based on the standard value related to the physical information, the required exercise amount, the required calorie consumption and the required intake calorie are calculated, and the process proceeds to step S4. If the physical information is stored in step S1 and there is no change, the process proceeds to YES. In step S4, the sleeping data transmitted from the overnight measurement terminal 2 via the communication unit 28 or the portable measurement terminal 3 is transmitted. At least one of the daytime activity data transmitted via the communication unit 37 is received by the communication unit 46 and stored in the storage unit 44 as the latest data.

  When the reception and storage of each data is completed, in step S5, whether or not each data for determining the degree of fatigue, that is, sleeping data and daytime activity data is stored in the storage unit 44 automatically. If any one of them is not stored, the process proceeds to NO, and at step S6, at least physical information is displayed on the display unit 45, and is displayed until it is determined at step S7 that the power-off operation is performed. If the power is turned off, the process proceeds to YES and ends. If it is determined in step S5 that the sleeping data and the daytime activity data are stored in the storage unit 44, the process proceeds to YES, and in step S8, as will be described later using the flowchart of FIG. The management calculation unit 42 performs each calculation and determination of the daily fatigue level, and when the daily fatigue level needs to be improved, the daily data of the sleep data and the daytime activity data is used. Based on the degree of influence on the degree of fatigue, the advice setting unit 43 sets advice for at least one of which needs improvement.

  In subsequent step S9, it is automatically determined whether or not the fatigue level determined in the past is stored in the storage unit 44. If not stored, the process proceeds to NO. In step S11, the calculation is performed in step S3. The improvement advice of the overnight measurement terminal 2 or the portable measurement terminal 3 is set as advice for improving the required exercise amount, the required calorie consumption, the required intake calorie, and the daily fatigue level determined in the step S8. The advice data is transmitted to at least one of them through the communication unit 46. If the past fatigue level is stored, the process proceeds to YES, and in step S10, the daily cumulative fatigue level is determined and necessary in step S11. Accordingly, data is transmitted to the measurement terminal 2 or the portable measurement terminal 3 overnight.

  When transmission of various data to at least one of the terminals 2 or 3 is completed, in step S6, the calculation and determination results and advice data are displayed on the display unit 45, and in the same manner as described above, step S7. The power-off is determined at, and the display is continued until the power is turned off. As an example of the display of the determination result of the fatigue level, a graph showing the fatigue score and the relationship between the fatigue level and the number of days as shown in FIG.

  Here, the daily fatigue level determination and advice setting, which will be described later, in step S8 of the flowchart of FIG. 5 will be described with reference to FIGS. First, in step S21 of the flowchart of FIG. 6, the number of exercise points necessary for determining the daily fatigue level is calculated in the exercise point number calculating unit 61 of the management calculating unit. In the first embodiment, among the exercise information transmitted from the portable measurement terminal 3, the exercise mode and the exercise time are applied to the exercise score table stored in advance in the storage unit 44, and the corresponding score is derived. Is. For example, as shown in FIG. 7, the exercise score table is classified according to the exercise modes of “walking”, “running”, and “muscle exercise” and the exercise time within a day. When the above “walking” exercise is performed, the “running” exercise is performed for less than one hour, and the “muscle exercise” is performed for less than one hour, the number of exercise points = 3. Here, the number of exercise points from 1 to 5 is shown in order from the lowest degree of fatigue accumulation, and the exercise is generally standard when the number of exercise points = 3.

  In subsequent step S <b> 22, the sleep score is calculated in the sleep score calculator 62 of the management calculator 42. In the first embodiment, among the sleep information transmitted from the measurement terminal 2 overnight, the actual sleep time calculated by the product of the sleep time and the sleep efficiency (hereinafter, this actual sleep time is referred to as sleep time). The corresponding score is derived by applying it to the sleep score table stored in advance in the storage unit 44. For example, as shown in FIG. 8, the sleep score table generally classifies the sleep time within a realistic range because the sleep time of a person is generally considered to be about 7 to 8 hours. Yes, in the case of sleep of 5 hours or more and less than 6 hours or sleep of 9 hours or more and less than 10 hours, the sleep score = 3 points. Here, it represents as a sleep score from 1 to 5 in order from the low degree of recovery of fatigue.

  Furthermore, in step S23, the fatigue level determination unit 63 of the management calculation unit 42 calculates the fatigue level by subtracting the sleep score from the calculated number of exercise points. That is, in the range of −4 to 4, the fatigue degree is determined to be higher as the fatigue accumulation degree is higher, and as the fatigue degree is lower, the fatigue recovery degree is higher. Thereafter, from step S24 to step S41, advice is set in the advice setting unit 43 in accordance with the determination of the degree of fatigue and the degree of influence of the degree of fatigue accumulation (exercise) and the degree of fatigue recovery (sleep) on the degree of fatigue. Show the procedure.

  In step S24, it is determined whether or not the calculated fatigue level (the number of exercise points−the number of sleep points)> 0, that is, whether or not the fatigue accumulation level is greater than the fatigue recovery level. If YES in step S25, it is determined whether or not the sleep time according to the sleep score is greater than 7 to 8h, that is, whether or not the sleep score is not 5 indicating optimum and the sleep time is long. If the sleep time is long, the process proceeds to YES, and in the subsequent step S26, it is determined whether or not the number of exercise points is ≦ 2, that is, whether or not the exercise is more than the standard exercise. If the number of exercise points ≦ 2, the process proceeds to YES. In step S27, the reason why the fatigue could not be resolved is that the sleep time was longer than the optimal time and the performance during the day decreased, that is, the lack of exercise. Deciding that the quality of sleep is also one of the factors, the advice setting unit 43 sets advice to increase the amount of exercise and reduce sleep time. In step S49, the number of exercise points and the number of sleep points are set. Further, the fatigue level and advice are stored in the storage unit 44 together with the date / time data read from the time measuring unit (not shown) provided in the control unit 40. If NO in step S26, the process proceeds to NO. In step S28, it is further determined whether or not the number of movement points> 3, that is, whether or not the movement is performed more generally than the standard movement. judge. If the number of exercise points> 3, the process proceeds to YES, and it is determined in step S29 that the reason why the fatigue could not be resolved is that the sleep time was longer than the optimal time and that fatigue was accumulated due to excessive exercise. In the advice setting unit 43, advice is set so as to reduce the amount of exercise and sleep time, and in step S49, the exercise point, the number of sleep points, the degree of fatigue, and advice are provided in the control unit 40 (not shown) Are stored in the storage unit 44 together with the date / time data read from the storage unit. If it is determined in step S28 that the number of exercise points is not> 3, the process proceeds to NO. In step S30, it is determined that the cause of fatigue is that the sleep time is too long, and advice is set to reduce the sleep time. Then, the data is stored in the same manner as described above.

  In step S25, when the sleep time is not 7 to 8h (here, since fatigue level is 0, the optimal sleep time of 7 to 8h with a sleep score of 5 is not obtained, the sleep time < 7 corresponds to the case of 7 to 8h.) The process proceeds to NO, and in the subsequent step S31, whether or not the number of motion points ≦ 2 is satisfied, that is, whether or not the motion is generally more than the standard motion. Is further determined. If the number of exercise points ≦ 2, the process proceeds to YES. In step S32, the reason why the fatigue could not be resolved is that the sleep time was shorter than the optimum time and the daytime performance was reduced, that is, the sleep was not enough due to lack of exercise. It is determined that the deterioration of the quality of the child is one of the factors, advice is set to increase the amount of exercise and sleep time, and data is stored. Further, if the number of motion points is not 2 in step S31, the process proceeds to NO, and in the subsequent step S33, it is determined whether or not the number of motion points> 3, that is, whether or not the motion is generally more than the standard motion. Further determine. If the number of exercise points> 3, the process proceeds to YES. In step S34, it is determined that the reason why the fatigue could not be resolved is that the sleep time was shorter than the optimum time and that fatigue was accumulated due to excessive exercise. Then, advice is set to reduce the amount of exercise and increase sleep time, and data is stored. If it is determined in step S33 that the number of exercise points is not> 3, the process proceeds to NO. In step S35, it is determined that the cause of feeling tired is that the sleep time is shorter than the optimal time and the sleep is insufficient. Set the advice to increase the data and store the data.

  Further, if the degree of fatigue is not> 0 in step S24, the process proceeds to NO. In step S36, it is determined whether or not the degree of fatigue is <0, that is, whether the degree of fatigue recovery is greater than the degree of fatigue accumulation. . If the degree of fatigue is less than 0, the process proceeds to YES, and in the subsequent step S37, it is further determined whether or not the number of exercise points is ≦ 2, that is, whether or not the exercise is more than the standard exercise. If it is not ≦ 2, the process proceeds to NO, and in step S43, it is determined that the person is fully active during the day and the fatigue is sufficiently recovered by sleep, and advice is set to maintain the current relationship between exercise and sleep. And store the data. In step S37, if the number of exercise points ≦ 2, the process proceeds to YES. In subsequent step S38, it is further determined whether or not the sleep time is 7 to 8h, that is, whether or not the sleep point is 5 representing the optimum. judge. If the sleep time is 7 to 8h, the process proceeds to YES, and in step S39, it is clearly determined that the exercise is insufficient, and advice is set and stored so as to increase the amount of exercise. In step S38, if the sleep time is not 7 to 8h, the process proceeds to NO. In the subsequent step S40, whether or not the sleep time is greater than 7 to 8h, that is, the sleep score is not 5 indicating the optimum and sleep. It is further determined whether the time is long. If the sleep time is long, the process proceeds to YES, and in step S41, it is determined that the exercise is obviously insufficient and the moderate degree of fatigue accumulation is extremely small, so that it only appears that there is no relative fatigue. Set and memorize advice to increase momentum and reduce sleep time. In step S40, if the sleep time is not more than 7 to 8h, the process proceeds to NO. In step S42, the exercise is obviously insufficient and the moderate fatigue accumulation degree is extremely small. It is determined that it only appears to be absent, and advice is set and stored so as to increase the amount of exercise and increase sleep time.

  In step S36, if the degree of fatigue is not 0, that is, if the degree of fatigue is 0, the process proceeds to NO. In step S44, it is determined whether or not the number of exercise points ≦ 2, and if the number of exercise points is not less than 2. Advances to NO, determines in step S43 that it is fully active during the day and that fatigue has been sufficiently recovered by sleep, sets advice to maintain the relationship between current exercise and sleep, and stores data To do. In step S44, if the number of exercise points ≦ 2, the process proceeds to YES, and in subsequent step S45, whether or not the sleep time> 7 to 8h, that is, the sleep point is not 5 indicating the optimum and the sleep time. It is further determined whether or not is long. If the sleep time is long, the process proceeds to YES, and it is determined in S46 that the exercise is obviously insufficient and the moderate degree of fatigue accumulation is extremely small, so that it only seems that there is no relative fatigue, Set and memorize advice to increase exercise and reduce sleep time. In step S45, if the sleep time is not 7 to 8h, the process proceeds to NO. In S47, the exercise is obviously insufficient and the moderate degree of fatigue accumulation is extremely small, so there is no relative fatigue level. The advice is set and stored so as to increase the amount of exercise and increase the sleep time.

  In addition, in step S10 of the flowchart of FIG. 5, the cumulative fatigue level determination, which will be described later, will be described including the flowchart of FIG. First, in step S51, the past fatigue level is read from the storage unit 44. In subsequent step S52, the fatigue level determination unit 63 of the management calculation unit 42 calculates cumulative fatigue level = current fatigue level-past fatigue level, and in step S53, whether the cumulative fatigue level> 0, that is, Then, it is determined whether or not the fatigue level is accumulated from the daily change of the fatigue level. If the cumulative fatigue degree> 0, the process proceeds to YES. In step S54, the standard value calculation unit 60 of the management calculation unit 42 is used in step S3 of the flowchart of FIG. In the data calculated in step S55, correction is made so as to reduce the necessary amount of exercise, and advice regarding sleep needs to be taken as necessary is set. After storing the accumulated fatigue level, the corrected required exercise amount, and the sleep advice in the storage unit 44, the process returns to the main flowchart of FIG. In step S53, if the cumulative fatigue level is not> 0, the process proceeds to NO. In step S55, the cumulative fatigue level is stored, and the process returns to the main flowchart of FIG.

  A second embodiment of the present invention will be described with reference to FIGS. However, the configuration of the second embodiment is the same as that of the first embodiment. Here, the health management device 1 is described as the health management device 100. FIG. 11 is a flowchart showing a main routine of the data management terminal 4 in the health management apparatus 100, and FIG. 12 is a flowchart showing a subroutine for daily fatigue level determination and advice setting operations.

  First, in FIG. 11, when the power of the data management terminal 4 of the health management device 100 is turned on, steps S61 to S64 operate in the same manner as steps S1 to S4 of FIG. In subsequent step S65, as will be described later with reference to FIG. 12, the management calculation unit 42 performs each calculation and determination of the daily fatigue level, and the sleep data or daytime activity data stored in step S64 is stored. Among them, the latest fatigue degree is determined based on any one of the latest data in time series, and the advice setting unit 43 gives the user the next action from the latest data acquisition time point. Advice is set up to provide a balanced life. That is, if the latest data is sleeping data, for the daytime activity of the next day, and if the latest data is daytime activity data, for the day of sleep, respectively. Advice is set.

  In the subsequent step S66, it is automatically determined whether or not there are two or more past fatigue degree data calculated from the exercise score and the sleep score in the storage unit 44 in the same manner as in the first embodiment. If not, the process proceeds to NO, and in step S68, the necessary exercise amount, the calorie consumption and the calorie intake calculated in the same manner as in the first embodiment in step S63, and the advice set in step S65 are displayed overnight. The measurement terminal 2 or the portable measurement terminal 3 transmits the improvement advice to the one set with the improvement advice. If two or more past fatigue data are recorded, the process proceeds to YES, and in step S67, according to the flowchart of FIG. The cumulative fatigue level is determined, and data is transmitted to the overnight measurement terminal 2 and the portable measurement terminal 3 in the same manner as described above in step S68.

  When transmission of various data to at least one of the terminals 2 or 3 is completed, Steps S69 to S70 operate in the same manner as Steps S6 to S7 in FIG. The determination result displayed in S69 is a graph of the relationship between the number of fatigue points and the degree of fatigue and the number of days as illustrated in FIG.

  Here, in step S65 of the flowchart of FIG. 11, each calculation, determination of the daily fatigue level, and advice setting, which will be described later, will be described with reference to FIG. First, in step S71 of the flowchart of FIG. 12, for each data received from each terminal 2 or 3 stored in the storage unit 44, it is automatically determined whether or not the latest data in time series is daytime activity data. It is judged by. If the latest data is daytime activity data, the process proceeds to YES, and in step S72, the motion point number calculation unit 61 of the management calculation unit 42 performs the same as that shown in step S21 of FIG. Calculate the number of motion points. That is, in the exercise information transmitted from the portable measuring terminal 3, the exercise mode and the exercise time are applied to an exercise score table stored in advance in the storage unit 44, for example, the one shown in FIG. It is what leads.

  In subsequent step S73, the past sleep data that is time-sequentially continuous with respect to the daytime activity data for which the exercise score is calculated as the latest data, that is, the sleep score calculated from the sleep data of the previous day is stored in the storage unit 44. Whether it is stored or not is automatically determined. If it is stored, the process proceeds to YES, and in step S74, the fatigue level determination unit 63 of the management calculation unit 42 calculates the fatigue level by subtracting the stored sleep score from the calculated number of exercise points. And the process proceeds to step S75. If the sleep score is not stored in step S73, the process proceeds to NO. In step S75, whether or not the exercise score is greater than 3, that is, whether or not the exercise is more than the standard exercise. Determine. If the number of exercise points> 3, the process proceeds to YES, and in step S76, at the time when the latest data is acquired, it is determined that fatigue is accumulated due to excessive exercise, and the advice setting unit 43 In order to improve the accumulated fatigue, at the next sleep, advice is set so as to secure an optimal sleep time of 7 to 8 hours, and in step S86, the advice is read from a timing unit (not shown) provided in the control unit 40 The date and time data is stored in the storage unit 44. Further, in step S75, if the number of exercise points is not> 3, the process proceeds to NO, and in step S77, it is determined that the exercise is generally less than standard and fatigue is not accumulated, and In the advice setting unit 43, fatigue is not accumulated, but in the next sleep, advice is set so as to keep the sleep generally optimal, and data is stored in the same manner as described above in step S 86. .

  In step S71, if the latest data is not daytime activity data but sleeping data, the process proceeds to NO. In step S78, the process is the same as that shown in step S22 of FIG. 6 in the first embodiment. Then, the sleep score calculator 62 of the management calculator 42 calculates the sleep score. That is, the sleep time calculated from the sleep information transmitted from the overnight measurement terminal 2 is applied to a sleep score table stored in advance in the storage unit 44, for example, the one shown in FIG. It is.

  In the subsequent step S79, the sleep data obtained by calculating the sleep score as the latest data is calculated from the past daytime activity data that is continuous in time series, that is, the daytime activity data until immediately before the sleep data is measured. Whether or not the number of exercise points is stored in the storage unit 44 is automatically determined. If YES in step S80, the fatigue level determination unit 63 of the management calculation unit 42 determines the fatigue level by subtracting the calculated sleep score from the stored number of exercise points. And the process proceeds to step S81. Here, as described above, since the fatigue level is obtained by subtracting the sleep score indicating the degree of fatigue recovery from the exercise score indicating the fatigue accumulation level, the advice setting unit 43 determines that the calculated fatigue level is If it is 0, it is assumed that there is a balance between accumulation and recovery of fatigue. For example, fatigue accumulated by standard exercise indicated by an exercise score of 3 is recovered by sleep indicated by a sleep score of 3 or more. As a thing, it advises on the daytime activity of the next day.

  In step S79, if the number of exercise points is not stored, the process proceeds to NO. In step S81, whether or not the number of sleep points> 3, that is, fatigue due to the generally standard exercise indicated by the number of exercise points of 3. It is determined whether or not the sleep was able to recover the accumulation. If the number of sleep points> 3, the process proceeds to YES, and in step S82, it is determined that sleep enough to cope with the standard exercise is obtained as the daytime activity. In step S86, the data is stored in the storage unit 44 together with the date / time data read from the timing unit (not shown) provided in the control unit 40. Further, if the number of sleep points is not> 3, the process proceeds to NO, and in step S83, whether or not the number of sleep points is ≦ 2, that is, the sleep is not capable of recovering the fatigue accumulation due to the generally standard exercise indicated by the exercise point of 3 If the number of sleep points ≤ 2, the process proceeds to YES. In step S84, sleep enough to cope with exercise exceeding the standard as daytime activity is not obtained, and recovery from fatigue is difficult. When it is determined that the current state is in the daytime, and during the daytime activity of the next day, advice is set so as not to exercise beyond the standard, and data is stored in the same manner as described above in step S86. In step S83, if the number of sleep points is not ≦ 2, that is, if the number of sleep points = 3, the process proceeds to NO. In step S85, a sleep state that is just good for a generally standard exercise is obtained. If it is determined that there is an activity during the day, the advice is set so that a standard exercise with an exercise score of 3 is performed, and data is stored in step S86.

  In Example 1 and 2, although the sleep score was calculated based on the sleep time in step S22 of the flowchart of FIG. 7, other sleep states determined by the sleep state determination unit 25 of the overnight measurement terminal 2, for example, Alternatively, the number of sleep points representing the quality of sleep in more detail may be set using a sleep stage, a sleep stage period, a daily sleep time period, and the like. In addition, although the exercise score was calculated based on the exercise style and time, other exercise information may be included, and it is set as an activity score that represents the overall activity during the day including not only exercise information but also calorie intake. May be.

  In addition, in the cumulative fatigue level determination shown in FIG. 10, if the fatigue recovery degree is a negative state with a high degree of fatigue recovery and changes over time, the fatigue level determination unit 63 of the management calculation unit 42 of the data management terminal 4 Based on the common sense that it is possible to cope with a little intense exercise if the body is getting enough sleep in this negative transition state. The advice setting unit 43 determines that the body can be further trained, for example, exercises that improve basal metabolic rate and muscle mass in body information, and exercises that reduce body fat percentage. You may set advice to

  Further, the advice setting unit 43 of the data management terminal 4 may provide advice on food intake, food balance, and the like. For example, when the fatigue level determination unit 63 determines that the effect of lack of sleep is large as a cause indicating a high level of fatigue, foods that are effective in relieving sleep shortage, for example, Mg and Fe Foods that give advice on taking soy foods, spinach, dairy products, etc. that contain a large amount of Cu or Cu, etc., or that interfere with fatigue recovery or sleep in information related to ingestion sent from the portable measuring terminal 3 For example, when alcohol, cigarettes, coffee, or the like is consumed, advice that provides a warning is provided.

  The overnight measurement terminal 2 and the data management terminal 4 are configured to transmit and receive data via the communication units 28 and 46. However, the storage unit 26 of the overnight measurement terminal 2 is configured to be detachable from the control 2b. In addition, the data management terminal 4 may be provided with a connection unit that connects the storage unit 26 to directly move data. The control unit 2b may be configured integrally with the data management terminal 4. Further, the portable measurement terminal 3 may be used as a storage device for the measurement terminal 2 and the data management terminal 4 all night. A connection unit for connecting the portable measurement terminal 3 to each of the terminals 2 and 4 is provided. It is good also as a structure which moves data via this. Further, the data management terminal 4 may be included in the portable measurement terminal 3 and configured integrally.

  Furthermore, although not described in the embodiments, the health management apparatus 1 may be provided with an environment adjustment unit that adjusts the sleep environment in response to advice from the advice setting unit 43 of the data management terminal 4. The environment adjusting unit adjusts the temperature environment by controlling an air conditioner, an electric blanket, a heater, etc., or adjusts the environment of the room by controlling a lighting device, an acoustic device, an aromatic device, an alarm clock, etc. Etc.

  Further, the standard value calculation unit 60 of the data management terminal 4 calculates the required exercise amount, the required calorie consumption, and the required intake calorie based on the standard value related to the physical information, but the input physical information (for example, the body The difference between the fat percentage) and the standard value related to the physical information is calculated, and the advice setting unit 43 sets advice so that the difference approaches the standard value in addition to the advice exemplified in the embodiment. Thus, it is possible to provide advice more suitable for the user's individual condition. In addition, in the storage unit 44 of the data management terminal 4, each index (estimated average required amount, recommended amount, guide amount, target) announced by the Ministry of Health, Labor and Welfare in “About the Japanese Dietary Intake Standard”. Amount, upper limit amount) is stored in advance, the data management terminal 4 receives the food intake input from the portable measurement terminal 3, and the standard value calculation unit 60 determines each index of the meal intake standard. In comparison with the advice in the embodiment, the advice setting unit 43 sets the advice so that the amount of food intake is close to the target amount, so that advice more suitable for the individual condition of the user can be obtained. Can be provided.

  Moreover, about the standard sleep time memorize | stored beforehand in the memory | storage part 44, although the optimal sleep time when a sleep score is 5 is set to 7-8h, it is long-term, such as one week or one month by the measurement terminal 2 all night By calculating and storing the average sleep time of the user from the measurement result, the standard sleep time of the sleep score table stored in advance in the storage unit 44 is used as the average sleep time. The sleep score for each sleep time in the sleep score table may be changed, and the evaluation of the sleep score may be more suitable for the individual user than a general one.

  Moreover, it is good also as a structure which calculates the sleep schedule of the user from the long-term measurement result of the sleep data measured by the overnight measurement terminal 2, The user's sleep schedule and the average sleep time of the user By determining the quality of sleep in combination, it is possible to provide advice on when to sleep and wake up, and as a result, it has the effect of allowing the user to understand the sleep habits suitable for the user, As control, for example, it is possible to notify the bedtime and the wake-up time optimal for sleep in combination with a clock or the like. In addition, for the user's sleep schedule and average sleep time calculated from the long-term measurement results, the user performs a subjective evaluation, for example, from the operation / input unit 31 of the data management terminal 4. How to make the user customarily use the calculated sleep schedule and average sleep time by using a three-stage evaluation such as “1: short <2: just good <3: long”. It is possible to reflect the opinion of whether or not it is felt, and it becomes possible to determine whether the sleep schedule and average sleep time calculated by this are truly suitable for the user, and this subjective evaluation result Using this, the calculated sleep schedule and average sleep time are corrected, and it is possible to provide the user with a sleep schedule and sleep time that are optimal for sleep. Further, when the user directly inputs data from the operation / input unit 41 of the data management terminal 4, for example, the standard sleep time of the sleep score table stored in the storage unit 44 or the calculated sleep is calculated. It is good also as a structure which can reset a schedule and average sleep time, and the condition suitable for a user can be provided also by this.

1 is a configuration diagram of a health management device according to Embodiment 1. FIG. It is a block diagram of an overnight measurement terminal. It is a block diagram of a portable measurement terminal. It is a block diagram of a data management terminal. 4 is a flowchart illustrating a main routine of an operation of the data management terminal 4 according to the first embodiment. 4 is a flowchart of a subroutine for determining daily fatigue and setting advice according to the first exemplary embodiment. It is an exercise point table. It is a sleep score table. It is a graph which shows the relationship between exercise | movement and the number of sleep points, the fatigue degree, and the number of days. It is a flow which shows the subroutine of accumulated fatigue degree determination. 7 is a flowchart showing a main routine of operation of the data management terminal 4 according to the second embodiment. 10 is a flowchart of a subroutine for determining daily fatigue and setting advice according to the second embodiment.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Health care apparatus 2 Overnight measurement terminal 2a Biosignal measurement part 2b Control part 3 Portable measurement terminal 4 Data management part 20 Mat 21 Pressure detection part 22 Control part 23 Operation part 24 Signal analysis part 25 Sleep state determination part 26 Storage part 27 Display Unit 28 communication unit 30 control unit 31 operation / input unit 32 acceleration detection unit 33 motion information acquisition unit 34 calorie calculation unit 35 storage unit 36 display unit 37 communication unit 40 control unit 41 operation / input unit 42 management calculation unit 43 advice setting unit 44 Storage Unit 45 Display Unit 46 Communication Unit 60 Standard Value Calculation Unit 61 Exercise Point Calculation Unit 62 Sleep Score Calculation Unit 63 Fatigue Level Determination Unit

Claims (6)

Physical information input means for inputting physical information;
Activity data acquisition means for acquiring data relating to daytime activities;
Sleep data acquisition means for acquiring data relating to a sleep state;
Calculate daily fatigue from daytime activity data and sleeping data, and determine the degree of influence of daytime activity data and sleeping data on the daily fatigue level. Means,
An advice setting means for setting advice for improving at least one of the high degree of influence based on the degree of influence of daytime activity data and sleep data on the degree of fatigue of the day, Health care device to do.   The health management apparatus according to claim 1, further comprising cumulative fatigue level determination means for determining a daily cumulative fatigue level based on the fatigue level.   The activity data acquisition means comprises: means for measuring at least an exercise mode and exercise time; and activity score calculating means for classifying the measurement results based on exercise intensity and scoring daytime activities to obtain activity scores. The health management device according to claim 1, further comprising:   The sleep data acquisition means includes means for measuring at least a sleep time and sleep efficiency, and a sleep score calculation means for classifying the measurement results based on sleep quality and converting sleep into a sleep score. The health management device according to any one of claims 1 to 3.   5. The health management apparatus according to claim 4, wherein the daily fatigue level determination means calculates a value obtained by subtracting a sleep score from the activity score as a daily fatigue level.   The advice setting means sets advice for the next action based on any one of the most recent data in time series among the daytime activity data and the sleeping data. Item 1. A health management device according to item 1.

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