JP4745033B2 - Health management device and health management system - Google Patents

Description

  The present invention relates to a health management device and a health management system that provide advice on improving an apnea-hypopnea state during sleep from the respiratory state during sleep and the degree of obesity.

  Many patents for detecting sleep apnea syndrome by detecting biological information related to breathing during sleep have already been filed. For example, a predetermined value is obtained from fluctuations in bioimpedance obtained by continuously measuring bioimpedance. A device that extracts respiratory components by performing the digital processing and can be applied to monitoring of respiratory fluctuations is disclosed (for example, see Patent Document 1).

In addition, a device is disclosed that can be applied to the detection of sleep apnea syndrome by continuously measuring the impedance of lung volume changes due to respiration using an electrode disposed on the chest (see, for example, Patent Document 2). ).
JP 2000-215 A Special Table 2000-517199

  Most of the causes of the sleep apnea syndrome are due to obesity, and it is widely recognized that as the degree of obesity increases, the degree of sleep apnea syndrome becomes worse. Especially in the field of clinical medicine, sleep apnea There was no device that could provide a weight loss program to improve obesity due to the relationship between sleep apnea syndrome and the degree of obesity, despite the importance of eliminating obesity first in the treatment of syndrome .

  If you develop sleep apnea syndrome, you will be exposed to the risks of daily sleep while you are losing weight with a typical weight loss program. Therefore, as the sleep apnea hypopnea index (hereinafter referred to as AHI), which is an index indicating the degree of sleep apnea syndrome, shows a higher value, the higher the degree of obesity considered to be one of the causes, the faster It is thought that the risk should be eliminated as much as possible by eliminating obesity. However, as the degree of obesity increases, exercise with higher load becomes a greater burden on the subject's body, and weight loss may have a negative effect on the body. In addition, depending on the degree of obesity, it is necessary to control calorie intake as well as promote exercise.

  Further, when AHI becomes serious, it is dangerous to improve by simply reducing the amount, and it is not necessary to reduce the amount easily because treatment by an appropriate medical institution is necessary.

  Therefore, in the present invention, advice regarding improvement of sleep apnea syndrome from the relationship between the respiratory state during sleep and the degree of obesity, or a sleep apnea syndrome patient whose AHI is mild to moderate, Based on a general weight loss program that sets exercise intensity, calorie intake, etc. for people who are not typical sleep apnea syndrome), set exercise intensity and calorie intake for the weight loss program according to AHI and obesity level And a health management device or health management system for setting a safe weight loss program suitable for patients with sleep apnea syndrome.

  In order to solve the above-described problems, the present invention provides a breathing information input unit that inputs an index related to an apnea-hypopnea state during sleep, a body information input unit that inputs physical information related to at least the degree of obesity, and the apnea-hypopnea Provided is a health management device including advice output means for outputting advice on improvement of the apnea-hypopnea state based on the relationship between the state index and the obesity level.

  The physical information input means includes at least obesity level determination means for measuring and inputting physical information related to the obesity level and determining the obesity level based on the physical information.

  The respiratory information input means includes a respiratory state detection means for detecting a respiratory state during sleep, and a sleep apnea hypopnea index calculation means for calculating a sleep apnea hypopnea index based on the respiratory state. Prepare.

  In addition, the breathing state detection means includes a pressure detection means for detecting a pressure fluctuation inside the mattress part, and a control part for receiving a signal from the mattress part, arranged on the mattress part that supports the body of the subject during sleep. And a breathing state analyzing means for extracting a breathing component from the pressure fluctuation and analyzing the breathing state, and the control unit further comprises the sleep apnea hypopnea index calculating means.

  Further, the control unit is configured to be detachable from the mattress unit, and further includes the physical information input unit and the advice output unit.

  Further, the apparatus further includes target amount measuring means for setting the advice as a target value and measuring an amount of exercise or a calorie intake amount.

  The advice output means further includes a program setting means for setting a weight loss program for improving the apnea / hypopnea state during sleep.

  Further, the program setting means sets a weight loss program having a higher exercise intensity as the degree of apnea and hypopnea during sleep is higher and the degree of obesity is lower.

  The program setting unit updates the setting of the weight loss program at regular intervals.

  The program setting means sets the weight loss program using a matrix of the index related to the apnea-hypopnea state and the obesity degree.

  Further, the program setting means further includes a display means for displaying an index relating to the apnea-hypopnea state and the obesity degree in a graph.

  Further, the physical information input means further inputs at least age among indices relating to age, sex, basal metabolism, or indices relating to body composition other than the degree of obesity, and the program setting means includes the physical information in the physical information. Based on this, the program further comprises program correction means for correcting the weight loss program according to the subject.

  The present invention further includes a respiratory state detection unit that detects a respiratory state during sleep, and a sleep apnea hypopnea index calculation unit that calculates an index related to an apnea / hypopnea state during sleep based on the respiratory state. A biometric terminal comprising an all-night measurement terminal, an obesity degree determination means for measuring and inputting at least physical information related to the degree of obesity, and determining the degree of obesity based on the physical information; and an index relating to the apnea-hypopnea state; Based on the relationship with the degree of obesity, a data management terminal provided with an advice output means for outputting advice on improvement of the apnea-hypopnea state, and setting the advice as a target value, measuring the amount of exercise or calorie intake A portable terminal comprising a target amount measuring means for performing the data management terminal from each of the overnight measurement terminal and the biological measurement terminal. It acquires over data, which provide a health management system for data management and transfer data between the mobile terminal.

  The portable terminal stores data of each terminal by connecting to the overnight measurement terminal, the biometric measurement terminal, and the data management terminal, and exchanges data between the terminals.

  The health management device of the present invention further includes specific physical information input means for inputting specific physical information related to metabolic syndrome, and MS influence determination means for determining the degree of influence of the specific physical information on the metabolic syndrome. The advice output means outputs advice related to the improvement of the apnea-hypopnea state according to the determined degree of influence.

  The advice output means includes a program setting means for setting a weight loss program for improving the apnea / hypopnea state during sleep, and the weight loss program based on the degree of influence of the specific body information on the metabolic syndrome. MS program correction means for correcting.

  Furthermore, the specific body information is an index related to at least visceral fat among an index related to visceral fat, a blood pressure value, a blood glucose level, or a urine sugar value.

  The health management device of the present invention includes a breathing information input means for inputting an index relating to an apnea-hypopnea state during sleep, a body information input means for inputting physical information relating to at least the degree of obesity, and an indicator relating to the apnea-hypopnea state And an advice output means for outputting advice on improvement of the apnea-hypopnea state based on the relationship between the degree of obesity and the degree of obesity, thereby reducing the degree of sleep apnea syndrome considered to be caused by obesity In response, appropriate advice for improvement can be provided, and appropriate measures can be provided to the patient, such as prompting treatment at an appropriate medical institution if obesity is not the cause.

  The respiratory information input means includes a respiratory state detection means for detecting a respiratory state during sleep, and a sleep apnea hypopnea index calculation means for calculating a sleep apnea hypopnea index based on the respiratory state. And the physical information input means comprises at least obesity level determination means for measuring and inputting physical information related to the obesity level and determining the obesity level based on the physical information. By obtaining highly accurate data regarding the degree of syndrome and the degree of obesity, more appropriate advice can be provided.

  In addition, the breathing state detection means includes a pressure detection means for detecting a pressure fluctuation inside the mattress part, and a control part for receiving a signal from the mattress part, arranged on the mattress part that supports the body of the subject during sleep. A breathing state analyzing means for extracting a breathing component from the pressure fluctuation and analyzing a breathing state, and the control unit further comprises the sleep apnea hypopnea index calculating means, and further comprising the control Since the section is detachably provided from the mattress section and further includes the physical information input means and the advice output means, health management can be easily performed at home without requiring a plurality of devices.

  In addition, since the advice is set as a target value and further provided with a target amount measuring means for measuring the amount of exercise or calorie intake, the exercise and diet control is reliably performed according to the set weight loss program in daily life. It is possible to achieve the goal while measuring the amount of exercise and calorie intake, which enables reliable health management.

  Further, the advice output means further includes a program setting means for setting a weight loss program for improving the apnea / hypopnea state during sleep, so that the advice output means can be obtained from the sleep apnea syndrome degree and the obesity degree. With a safe weight loss program suitable for patients, daily health management can be performed with peace of mind.

  Further, the program setting means sets a weight loss program with higher exercise intensity as the degree of apnea and hypopnea state during sleep is higher and the degree of obesity is lower. It is possible to provide a weight loss program aiming at safe and faster weight loss without forcing the patient to avoid the risk of apnea syndrome during daily sleep more quickly.

  Further, the program setting means updates the setting of the weight loss program at regular intervals, and sets the weight reduction program using a matrix of the index regarding the apnea hypopnea state and the degree of obesity. It is possible to provide a weight loss program that is always suitable for the patient in consideration of changes in the respiratory state during sleep and changes in the degree of obesity.

  The program setting means further comprises a display means for displaying an index relating to the apnea-hypopnea state and the obesity degree, so that a change in the degree of sleep apnea syndrome and the degree of obesity, or a weight loss program The effect of the above is displayed in an easy-to-understand manner, and the relationship between the degree of sleep apnea syndrome and the degree of obesity can be deeply recognized by the patient, which is also effective as an enlightenment of obesity prevention.

  Further, the physical information input means further inputs at least age among indices relating to age, sex, basal metabolism, or indices relating to body composition other than the degree of obesity, and the program setting means includes the physical information in the physical information. Based on the above, it is further provided with a program correction means for correcting the weight loss program according to the subject, so that safer and more effective weight loss suitable for each patient's body is possible, and highly reliable health management is possible. It is.

  The health management system of the present invention includes a respiratory state detection means for detecting a respiratory state during sleep, and a sleep apnea hypopnea index calculation that calculates an index related to an apnea / hypopnea state during sleep based on the respiratory state. A biometric terminal comprising: an overnight measurement terminal comprising: means; an obesity degree judging means for measuring and inputting at least physical information related to the degree of obesity; and determining the degree of obesity based on the physical information; and the apnea hypopnea A data management terminal comprising an advice output means for outputting advice on improvement of the apnea-hypopnea state based on the relationship between the state-related index and the degree of obesity; and setting the advice as a target value, exercise amount or calorie intake A portable terminal including a target amount measuring means for measuring a quantity, etc., and the data management terminal includes the overnight measurement terminal and the living body Since data is acquired from each of the measuring terminals, and data is transferred to and managed from the portable terminal, it is possible to obtain highly accurate data from each terminal, and data other than AHI and obesity level Can also be obtained, and these plural data can be managed in a unified manner, and the health management of the subject from various viewpoints is possible.

  In addition, the portable terminal stores the data of each terminal by connecting to the overnight measurement terminal, the biometric terminal, and the data management terminal, and transfers data between the terminals. The communication means and the storage means that are likely to be included in the system are unnecessary, and measurement is possible anywhere where a similar terminal is placed.

Furthermore, the health management device of the present invention further includes specific body information input means for inputting specific body information related to metabolic syndrome, and MS influence degree determination means for determining the degree of influence of the specific body information on the metabolic syndrome. The advice output means outputs advice on improvement of the apnea-hypopnea state according to the determined influence level, and the advice output means improves the apnea-hypopnea state during sleep And a program setting means for setting a weight loss program, and an MS program correction means for correcting the weight loss program based on the degree of influence of the specific body information on the metabolic syndrome, wherein the specific body information comprises visceral fat Fingers related to at least visceral fat among indicators related to blood pressure, blood glucose, or urine sugar Therefore, taking into account the risks of lifestyle-related diseases such as hypertension, hyperlipidemia, and diabetes, we provide more appropriate advice to subjects, such as adding advice on nutritional balance in the diet to eliminate obesity. It is possible to do.

  The health management device of the present invention includes a breathing information input means for inputting an index relating to an apnea-hypopnea state during sleep, a body information input means for inputting physical information relating to at least the degree of obesity, and an indicator relating to the apnea-hypopnea state And an advice output means for outputting advice on improvement of the apnea-hypopnea state based on the relationship between the obesity level and the obesity level.

  The physical information input means includes at least obesity level determination means for measuring and inputting physical information related to the obesity level and determining the obesity level based on the physical information.

  The respiratory information input means includes a respiratory state detection means for detecting a respiratory state during sleep, and a sleep apnea hypopnea index calculation means for calculating a sleep apnea hypopnea index based on the respiratory state. Prepare.

  In addition, the breathing state detection means includes a pressure detection means for detecting a pressure fluctuation inside the mattress part, and a control part for receiving a signal from the mattress part, arranged on the mattress part that supports the body of the subject during sleep. And a breathing state analyzing means for extracting a breathing component from the pressure fluctuation and analyzing the breathing state, and the control unit further comprises the sleep apnea hypopnea index calculating means.

  Further, the control unit is configured to be detachable from the mattress unit, and further includes the physical information input unit and the advice output unit.

  Further, the apparatus further includes target amount measuring means for setting the advice as a target value and measuring an amount of exercise or a calorie intake amount.

  The advice output means further includes a program setting means for setting a weight loss program for improving the apnea / hypopnea state during sleep.

  Further, the program setting means sets a weight loss program having a higher exercise intensity as the degree of apnea and hypopnea during sleep is higher and the degree of obesity is lower.

  The program setting means updates the setting of the weight loss program at regular intervals.

  The program setting means sets the weight loss program using a matrix of the index related to the apnea-hypopnea state and the obesity degree.

  Further, the program setting means further includes a display means for displaying an index relating to the apnea-hypopnea state and the obesity degree in a graph.

  Further, the physical information input means further inputs at least age among indices relating to age, sex, basal metabolism, or indices relating to body composition other than the degree of obesity, and the program setting means includes the physical information in the physical information. Based on this, the program further comprises program correction means for correcting the weight loss program according to the subject.

  The health management system of the present invention includes a respiratory state detection means for detecting a respiratory state during sleep, and a sleep apnea hypopnea index calculation that calculates an index related to an apnea / hypopnea state during sleep based on the respiratory state. A biometric terminal comprising: an overnight measurement terminal comprising: means; an obesity degree judging means for measuring and inputting at least physical information related to the degree of obesity; and determining the degree of obesity based on the physical information; and the apnea hypopnea A data management terminal comprising an advice output means for outputting advice on improvement of the apnea-hypopnea state based on the relationship between the state-related index and the degree of obesity; and setting the advice as a target value, exercise amount or calorie intake A portable terminal including a target amount measuring means for measuring a quantity, etc., and the data management terminal includes the overnight measurement terminal and the living body Retrieve data from each measurement terminal is for data management and transfer data between the mobile terminal.

  The portable terminal is connected to the all-night measurement terminal, the biometric measurement terminal, and the data management terminal to store the data of each terminal, and exchange data between the terminals.

  The health management device of the present invention further includes specific physical information input means for inputting specific physical information related to metabolic syndrome, and MS influence determination means for determining the degree of influence of the specific physical information on the metabolic syndrome. The advice output means outputs advice related to the improvement of the apnea-hypopnea state according to the determined degree of influence.

  The advice output means includes a program setting means for setting a weight loss program for improving the apnea / hypopnea state during sleep, and the weight loss program based on the degree of influence of the specific body information on the metabolic syndrome. MS program correction means for correcting.

  Furthermore, the specific body information is an index related to at least visceral fat among an index related to visceral fat, a blood pressure value, a blood glucose level, or a urine sugar value.

  Embodiment 1 of the present invention is an overnight measurement terminal that detects respiration during sleep and calculates a sleep apnea hypopnea index (AHI); a biometric terminal that inputs or measures physical information and determines the degree of obesity; A data management terminal that acquires and manages data from the all-night measurement terminal and the biometric measurement terminal and sets a weight loss program based on the AHI and the obesity level, and exercise and intake with the weight loss program as a target value. Taking a health management system consisting of a mobile terminal to measure, for example, the weight loss program is set from exercise and meal, the exercise intensity is set as the required walking time of the day, and the intake is expressed in calories. Suppose that it is to be set.

  The configuration of the health management system according to the first embodiment will be described with reference to FIGS. 1 and 7. FIG. 1 is a block diagram showing the relationship between each terminal and each terminal constituting the health management system, and FIGS. 2 to 5 are block diagrams of an overnight measurement terminal, a biometric measurement terminal, a portable terminal, and a data management terminal, respectively. It is.

  According to FIG. 1, the health management system 1 includes an overnight measurement terminal 2, a biological measurement terminal 3, a portable terminal 4, and a data management terminal 5, and is input, measured, or calculated in the overnight measurement terminal 2 and the biological measurement terminal 3. Data is received by the data management terminal 5, and each mobile terminal 4 and the data management terminal each have a communication means for transmitting and receiving data.

  Hereinafter, each of the terminals 2, 3, 4 and 5 will be described with reference to FIGS. First, as shown in FIG. 1, the overnight measurement terminal 2 includes a breathing information input unit that detects a respiratory state during sleep and calculates a sleep apnea hypopnea index (AHI). 2 is provided with a breathing state detection means for detecting a pressure fluctuation inside the mattress part 2a enclosing the fluid and extracting a breathing component from the obtained signal in the control part 2b. As shown in FIG. A communication unit 20 for transmitting various data such as analysis or determination results to the data management unit 5, an operation unit 21 for terminal operation including a measurement ON / OFF switch, and a display unit 22 for displaying the various data in numerical values or graphs. And a storage unit 23 for storing the various data is connected to the control unit 24. The control unit 24 is further a pressure detection unit that detects pressure fluctuation in the mattress unit 2a. 25, a respiratory component is extracted from the signal from which the pressure has been detected, and a signal analysis unit 26 which is a respiratory state analysis means for analyzing a respiratory state during sleep; and sleeplessness indicating the degree of sleep apnea syndrome from the respiratory state Respiratory hypopnea index: Connected to the AHI calculating unit 27, which is a sleep apnea hypopnea index calculating means for calculating AHI.

  As shown in FIG. 3, the biometric terminal 3 includes a body composition measuring device that is a body information input unit, and includes a communication unit 30 that transmits data to the data management unit 5, an operation of the terminal, and an age. The operation / input unit 31 for inputting the sex and the display unit 32 and the storage unit 33 are connected to the control unit 34 in the same manner as described above. The control unit 34 measures body weight, height, and bioelectrical impedance, respectively, based on the weight measurement unit 35, height measurement unit 36, bioelectrical impedance measurement unit 37, and the measured data, at least the body fat percentage. A data calculation unit 38 that calculates a basal metabolic rate, and an obesity level determination unit that is an obesity level determination unit that determines obesity level by gender and age using an obesity level determination table described later based on the body fat percentage 39 is connected.

  As shown in FIG. 4, the portable terminal 4 includes an exercise quantity and intake calorie measurement device that is a target quantity measurement unit, and the exercise intensity and intake calories set by the weight loss program described later from the data management unit 5. As a target value, in addition to the terminal operation, the communication unit 40 that transmits the execution result to the data management unit, the operation and input unit 41 for inputting the meal intake for calculating the actual calorie intake, etc. Similarly, the display unit 42 and the storage unit 43 are connected to the control unit 44, and the storage unit 43 stores various data and the weight loss program. In addition, the control unit 44 measures the amount of exercise with respect to the exercise intensity, the acceleration measuring unit 45 for measuring body movement during walking, the step number detecting unit 46 for detecting the number of steps based on the body movement, and measuring the walking time. And a calorie intake calculation unit 48 that calculates calorie intake based on the food intake, and further, the measured walking time and the calorie intake calculated are set by the weight loss program. It is connected to determination means for determining each increase / decrease with respect to the target value.

  Further, as shown in FIG. 5, the data management terminal 5 receives data from the overnight measurement terminal 2 and the biometric measurement terminal 3, and transmits and receives data to and from the portable terminal 3. An operation unit 51 for operation and a display unit 52 and a storage unit 53 are connected to the control unit 54 in the same manner as described above. The control unit 54 classifies data received from the terminals 2, 3, and 4 and stores the data in the storage unit 53, whereby the data management unit 55 performs centralized management of data, comparison with past data, and the like. The weight loss program setting table stored in the storage unit 53 in advance is corrected in accordance with the subject based on the indices related to sex, age, and basal metabolism among the data received from the biometric terminal 3. A program correction unit 56 that is a program correction unit, and a program setting unit 57 that is a program setting unit that sets a weight loss program based on the AHI and the degree of obesity among the data received from each of the terminals 2, 3 and 4. It is connected to the advice output means consisting of

  Here, the reduction program setting by the program correction unit 56 and the program setting unit 57 will be described with reference to FIGS. FIG. 6 is a weight loss program setting table, and FIG. 7 is an obesity level determination table for determining the obesity level in the biometric terminal 3.

  First, the weight loss program setting table is stored in the storage unit 53 in advance, and each range of AHI classified according to the severity of sleep apnea syndrome and each body fat percentage obtained. The weight reduction program is composed of cells obtained by sorting the obesity degree on a matrix, and a weight reduction program is set for each cell.

  The classification of each AHI is not limited to this, but in Example 1, a state that is not pathological sleep apnea syndrome (hereinafter referred to as a healthy state) (0 ≦ AHI <10), mild (10 ≦ AHI) <15), moderate (15 ≦ AHI <20) and severe (20 ≦ AHI). Further, as shown in FIG. 7, the obesity levels are classified into standard range, mild obesity, moderate obesity, and severe obesity, and the body by sex and age obtained by measurement or input in the biometric terminal 3 A determination is made based on the fat percentage, and the obesity level is set in the weight loss program setting table.

  The exercise intensity is shown as exercise intensity 1 to exercise intensity 5 in each cell, and the exercise of the weight loss program in each obesity level of mild obesity, moderate obesity, and severe obesity in the case of a healthy state in the classification of the AHI The intensity is simply equivalent to the exercise intensity of the weight loss program for the purpose of weight loss, and the exercise intensity is increased according to the degree of mild and moderate sleep apnea syndrome determined by AHI.

  In the first embodiment, the weight loss program is a program based on a two-week walk exercise and a diet restriction set as a model for a male in their 30s, and the exercise intensity is defined as a walk time. For example, when a healthy person in his 30s who does not develop sleep apnea syndrome has a high degree of obesity as defined as severe obesity in Example 1, exercise of a weight loss program generally performed 6, exercise intensity 1 defined in a cell intersecting one row indicated by 0 ≦ AHI <10 and one column indicated as severe obesity, and the exercise intensity is one-day walking. It will be held 3 times a week for 20 minutes. Similarly, when the degree of obesity is defined as mild obesity and moderate obesity, the exercise intensity of the weight loss program is exercise intensity 2 and exercise intensity 3 defined in each cell of FIG. The exercise intensity 2 and the exercise intensity 3 with respect to the exercise intensity 1 are defined by increasing the walking time by 10 minutes and 20 minutes, respectively. The time will be increased by 10 minutes.

  Here, in the relationship between the general obesity level and exercise intensity as described above, the exercise intensity is set so as to decrease as the obesity level increases. It takes into account that it can be a heavy burden on the body of the child and can be damaged by weight loss.

  Next, in relation to the AHI and exercise intensity, the risk of daily sleep increases as the severity of AHI increases, so obesity that greatly affects the cause must be resolved as soon as possible. . Therefore, the weight loss program setting table of FIG. 6 is set by weighting each standard exercise intensity in the above defined mild obesity, moderate obesity and severe obesity according to the degree of sleep apnea syndrome. The exercise intensity of the sleep apnea syndrome is mild (10 ≦ AHI <15) and moderate (15 ≦ AHI <20), which are set as +1 and +2 with respect to the standard exercise intensity, respectively. It is.

  Moreover, in the setting of a meal intake, it sets according to the obesity degree. In the case of mild obesity, the exercise intensity is set to be relatively high. Therefore, as shown in FIG. 6 as “intake: normal”, an average intake amount required by men in their 30s for a day is set. Is done. In the case of moderate obesity, as shown as “Intake: Slightly low”, for example, an intake of about 1500 calories per day (kcal / day) as defined by general dietary reduction therapy is set, and further advanced obesity In this case, as shown as “intake: low”, for example, an intake amount of about 1000 calories per day (kcal / day) as defined in a general low-energy diet is set.

  The program correction unit 56 corrects each program in the weight loss program setting table according to the subject, and sets male as 0, female as −1 as a gender correction constant, and 30s as an age correction constant. 0, and a correction constant of ± 0.2 for every ± 10 years. The basal metabolism index includes a standard value of basal metabolism for each sex and age, with a correction constant of 0, and a difference from the basal metabolism of the subject obtained from the biometric terminal 3 is, for example, ± 50 (kcal / It is assumed that the calculation is performed as a correction constant ± 0.1 for each difference in days.

  Therefore, as a specific example, when the basal metabolic rate is 210 (kcal / day) lower than the standard value in a woman of 45 years of age, the correction constant for age = −0.2, the correction constant for gender = −1, the basal metabolic rate Correction constant = −0.4, so that the total correction constant = −1.6. Thus, in the weight loss program setting table of FIG. 6, the exercise intensity of each program is -1.6, and the exercise intensity is changed at a rate of 10 minutes of walking time per change of exercise intensity. “Strength 3 (walking time 40 minutes / day × 3 times / week)” is corrected as “Exercise intensity 1.4 (walking time 24 minutes / day × 3 times / week)”. The weight reduction program setting table stored in the model is updated and stored after the correction.

  The program setting unit 57 automatically selects and sets a weight loss program based on the AHI and the degree of obesity according to the corrected weight loss program setting table. For example, in the 45-year-old woman of the specific example, when AHI = 12, moderate obesity, “exercise intensity 3, intake: slightly less” is selected in the weight loss program setting table before correction in FIG. As described above, in the weight loss program setting table after correction, it corresponds to “exercise intensity 1.6, intake slightly low”.

  Next, the operation of the health management system 1 according to the first embodiment will be described with reference to FIGS. FIG. 8 is a flowchart showing a main routine of the data management terminal 5 of the health management system 1, and FIG. 9 is a subroutine showing an operation at the time of setting a weight reduction program.

  Here, the all-night measurement terminal 2, the biometric measurement terminal 3, and the portable terminal 4 are all provided with communication units 20, 30, and 40 in order to cause a known measurement apparatus to perform data communication with the data management terminal 5. Therefore, the operation procedure is omitted.

  In the flowchart of FIG. 8, when the power is turned on by the power switch provided in the operation unit 51 of the data management terminal device 5, data is received from the terminals of the overnight measurement terminal 2, the biometric measurement terminal 3, and the portable terminal 4 in step S <b> 1. An instruction to prompt acquisition is displayed on the display unit 52. The subject pushes the communication start switch provided in the operation units 21, 31 and 41 of each terminal in accordance with the instructions, and the data management terminal stores various data such as measurement, analysis or determination results from the communication units 20, 30 and 40, respectively. Send to 5.

  When the transmission of the various data is completed, the various data is classified for each data by the data management unit 55, stored in the storage unit 53, and centrally managed.

  In step S2, it is automatically determined whether the weight reduction program has been set or whether the setting period of the weight reduction program has elapsed. As described above, the weight loss program is defined as a two week exercise and meal program, and the weight loss program setting period is two weeks from the initial program setting date. The date when the weight reduction program is set is stored in the storage unit 53, and the date is counted by the time measuring unit 58.

  If the weight loss program is set and is within the set period, the process proceeds to NO, and in step S3, the results of various data acquired from the terminals 2, 3 and 4 and the past data in the data management unit 55 are displayed. The comparison result or advice regarding weight loss obtained from the result is displayed on the display unit 52. In the subsequent step S4, the display is repeated until the power switch provided in the operation unit 51 is turned off, and the power switch is pressed. At the same time, the power is turned off.

  In step S2, if a weight reduction program is not set or the set period has elapsed, the process proceeds to YES, and in step S5, the program correction unit 56 performs program correction using the above-described weight reduction program setting table. Made. The reduction program correction will be described later with reference to FIG.

  In step S6, it is determined whether or not the weight reduction program setting table is corrected and updated to the corrected weight reduction program setting table in the storage unit 53. If not updated, if not updated, various advices or Since the result is only displayed, the process proceeds to NO, and in step S4, the display is continued until power-off is detected in the same manner as described above. If the weight reduction program is updated, the process proceeds to YES, and in step S7, as described above, The program setting unit 57 automatically selects and sets the weight loss program based on the AHI and the obesity level according to the weight loss program setting table.

  Subsequently, after the program is transmitted from the data management terminal 5 to the portable terminal 4 via the communication units 40 and 50 in step S8 and set as exercise and meal target values in the portable terminal 4. In step S3, various data are displayed on the display unit 52. In step S4, the display is continued until power-off is detected.

  Here, the procedure for correcting the reduction program in step S3 will be described with reference to FIG. When the weight loss program correction subroutine is entered, in step S21, it is determined whether AHI ≧ 20, that is, whether the value of the AHI obtained from the overnight measurement terminal 2 exceeds 20, and if so, there is no sleep. Since it is judged that the respiratory syndrome indicates a serious condition and the process proceeds to YES and it is dangerous to improve only by reducing the weight, advice that recommends specialized treatment by an appropriate medical institution is displayed on the display unit 52. Return to 8 main routine.

  If AHI <20, the process proceeds to NO. In step S23, it is determined whether or not the obesity obtained from the biometric terminal 3 is in the standard range. If YES, the process proceeds to YES, and it is further determined in step S24 whether 0 ≦ AHI <10, that is, whether the condition is normal. If it is in a healthy state, the process proceeds to YES, and in step S23, the obesity level is also in the standard range. Provide the program and return to the main routine of FIG.

  If it is determined in step S24 that AHI ≧ 5 and sleep apnea syndrome, the process proceeds to NO. In step S23, the obesity is in the standard range, so the cause of sleep apnea syndrome is obesity. Therefore, it is determined that there is a high possibility of other factors, and in step S22, advice recommending treatment by a medical institution is displayed on the display unit 52 in the same manner as described above, and the process returns to the main routine of FIG.

  Further, if the obesity level is not in the standard range in step S23, that is, if it corresponds to each of the low, medium and high obesity levels in the obesity level setting table of FIG. The weight reduction program setting table set in advance is read. In the subsequent steps S27 to S30, the reduction program setting table is corrected as described above. That is, in step S27, first, it is determined whether correction of gender and age has been made. If not corrected, the process proceeds to NO, and in step S28, the exercise intensity in the weight loss program setting table is corrected by each correction constant. If YES, the process proceeds to YES, the correction based on the basal metabolic rate acquired from the biometric terminal 3 is performed, the reduction program setting table corrected in step S30 is overwritten and stored in the storage unit 53, and the process returns to the main routine of FIG. .

  In the first embodiment, the health management system 1 including the overnight measurement terminal 2, the biometric measurement terminal 3, the portable terminal 4, and the data management terminal 5 is taken as an example. However, the value of the AHI is determined by measurement or numerical input. An input unit for inputting the degree of obesity and a program setting unit for setting a weight loss program based on the AHI and the degree of obesity may be integrally configured in the health management apparatus.

  Further, as shown in FIGS. 1 and 2, the overnight measurement terminal is composed of a mattress unit 2a and a control unit 2b, but the control unit 2 includes the biometric terminal 3, the portable terminal 4, and the data management terminal 5. The mattress part 2a and the control part 2b may be detachable.

  Each of the terminals 2, 3, 4 and 5 is known as described above in the first embodiment, and can acquire various kinds of general data in addition to the data shown in the first embodiment. The data management terminal 5 may also manage the various data in an integrated manner. For example, the overnight measurement terminal 2 may acquire data relating to sleep such as sleep stage, sleep efficiency, sleep cycle, or sleep timing, and the biometric terminal 3 may include built-in fat, subcutaneous fat, muscle, or bone Data related to body composition such as may be acquired. Moreover, the portable terminal 4 may acquire calorie consumption based on the amount of exercise, and may acquire calorie balance data with the calorie intake based on the amount of meal. Thereby, for example, the health maintenance program shown in step S25 of FIG. 9 uses the general standard value (or standard range) of each data as the target value (or target range) including the data relating to the acquired body composition. A program for maintaining health based on the calorie balance data is also possible. The display may be a line graph plotting the transition of each day-to-day data, or a radar chart as shown in FIG. 10 in which the state of each data with respect to the target range is displayed in an easy-to-understand manner.

  In the first embodiment, the obesity degree is obtained from the classification of the body fat percentage by sex and age, but the obesity degree may be classified by BMI.

  In addition, the weight loss program setting table in which the exercise intensity is defined using the male in the thirties of FIG. 6 as a model is set in advance in the storage unit 53 of the data management terminal 5, but a plurality of weight loss program setting tables are previously set according to sex and age. You may memorize | store in the said memory | storage part 53 and read the suitable weight loss program setting table according to the sex and age which were input.

  In addition, as shown in FIG. 7, the obesity level is classified into the standard range, mild obesity, moderate obesity, and severe obesity, but the range in which obesity may cause a dangerous state to the body is defined as the risk range. The higher the degree of obesity, the greater the load on the subject's body, so if the degree of obesity is determined to be in the above-mentioned risk range, the exercise may be extreme regardless of the degree of sleep apnea syndrome. You may make it set up the weight loss program by a diet restriction, avoiding promotion.

  Further, as shown in step S28 and step S29 in FIG. 9, the program correction unit 56 of the data management terminal 5 uses an index related to body composition such as muscle in addition to correction based on an index related to gender, age and basal metabolism. You may add correction | amendment and the correction | amendment by the duration of the exercise | movement according to the said program.

  Furthermore, in the result or advice display of step S3 in FIG. 8, a graph in which the relationship between AHI and the degree of obesity can be recognized at a glance as shown in the display example of FIG. 11 or FIG.

  As Example 2 of the present invention, the degree of influence on MS of a plurality of specific body information related to the determination of metabolic syndrome (hereinafter referred to as MS) is determined, including the degree of influence of this specific body information, The health management system which outputs the advice regarding the improvement of an apnea-hypopnea state, and manages exercise | movement or a meal based on the said advice is shown.

  Here, MS refers to a state in which various diseases such as hypertension, hyperlipidemia, diabetes and other lifestyle-related diseases are easily caused due to built-in fat type obesity among obesity. Yes, it is determined in combination from the blood pressure level, blood glucose level (or urine sugar level), blood lipid level, visceral fat area, and the like. In general, as for the relationship between sleep apnea syndrome and MS, the frequency of people with sleep apnea syndrome developing MS is higher than that of normal people, and the degree of sleep apnea syndrome is The higher the frequency, the higher the frequency.

  Therefore, the health management system of Example 2 is effective not only for the reduction of obesity but also for the improvement of both sleep apnea syndrome and MS. Based on physical information related to MS such as blood pressure level, blood sugar level (or urine sugar level), blood lipid level, etc. It is to provide.

  Although not shown, the configuration of the second embodiment will be described based on the difference from the configuration of the first embodiment shown in FIG. In the first embodiment, the body composition measuring device, which is a body information input means for inputting body information relating to the degree of obesity, is provided as the biometric terminal 3 in FIG. As specific body information input means for inputting a plurality of related specific body information, the body composition measuring device is provided as a device capable of determining the visceral fat area, and further, a blood pressure meter for measuring a blood pressure value and a blood glucose level are measured. It is assumed that a blood glucose meter that performs measurement and a device that measures the amount of lipid in the blood are provided, and each of the measurement values is input to the data management terminal 5. In addition, the data management terminal 5 includes an influence degree determination unit that determines the degree of influence on the MS for each measurement value, and the advice output unit including the program correction unit 56 and the program setting unit 57 includes the determined measurement values. The advice regarding improvement of the apnea-hypopnea state is output including the degree of influence of the value on MS. Other configurations are the same as those in FIG.

  A specific procedure will be described with reference to FIGS. 8 and 9 showing the procedure of the first embodiment. First, in step 1 of FIG. 8, when data is acquired from each terminal, the visceral fat area, blood pressure value, blood sugar level, and blood lipid amount are input to the data management terminal 5 from the specific physical information input means. Thereafter, the same operations as in the first embodiment are performed until the weight reduction program correction in step S5, and in step S5, the process proceeds to the flowchart shown in FIG. 9, in which basal metabolism is performed in step S29. After the correction of the weight loss program is performed, the following procedure is added before reaching step S30. That is, the influence degree determination means determines the degree of influence of each measurement value on the MS as shown in FIG. First, each measured value is determined in three stages of “high, medium, and low” based on the known MS diagnostic criteria. In this classification, each measured value is classified according to a predetermined threshold. For example, “high” is an MS danger zone, “medium” is an MS caution zone, and “low” is a safety zone. To do. Next, it is determined which specific physical information has a large influence on the MS according to the stage of each measured value. Here, it is judged that the degree of influence of the specific physical information on the MS is large when it is “medium” or “high” among the three stages. For example, when the visceral fat area is “medium” or “high” and the blood pressure value, blood glucose level, and blood lipid level are determined to be “low”, the visceral fat area greatly affects MS. Is determined to be a factor. In the example of FIG. 13, the visceral fat area is “high”, the blood pressure value is “low”, the blood sugar level is “medium”, and the blood lipid level is “medium”. The built-in fat area, blood glucose level, and blood lipid level indicate a large degree of influence on MS.

  Subsequently, for the determination result, the advice output means is set as “mild obesity”, “moderate obesity” and “high obesity” in the weight loss program setting table shown in FIG. By replacing “obesity degree” with “low”, “medium”, and “high”, which are the determination results of the visceral fat area, the corresponding weight loss program is obtained from the relationship with AHI.

  Further, based on the weight loss program, correction or advice is performed based on the determination results of the visceral fat area, blood pressure value, and blood glucose level. Here, the advice is to correct or give advice to the weight loss program to improve each factor when each measured value is determined to be “medium” or “high”. That is, the following corrections or advices are made respectively. When the visceral fat area is determined to be “medium” or “high”, as a correction giving priority to the reduction of visceral fat, the exercise intensity of the corresponding weight loss program is corrected to increase the exercise intensity. The correction is made to suppress the intake. In addition, when the blood pressure value is determined to be “medium” or “high”, advice on nutritional balance is provided so that the amount of salt is reduced by a predetermined amount and a food rich in minerals is consumed. In addition, when the blood sugar level is determined to be “medium” or “high”, it is corrected so as to suppress the above intake, and the intake of food with a low GI (Glythemic Index) value by restricting the intake of sugars Provide advice on nutritional balance. In addition, when blood lipids are determined to be “medium” or “high”, the nutritional balance is advised so that the intake is corrected and the intake of foods high in cholesterol is restricted. I will provide a. However, regarding each correction of exercise intensity or intake of the corresponding weight loss program described above, it is assumed that a predetermined value is set in advance, and each determination result is “high” rather than “medium” It is assumed that the correction is performed by increasing the predetermined value. In the example of FIG. 13, all corrections or advice of the visceral fat area determined to be “high”, the blood sugar level determined to be “medium”, and the amount of lipid in the blood are reflected in the weight loss program and corrected. is there. When the above is completed, the process proceeds to step S30, and the subsequent operation is the same as in the first embodiment. This makes it possible to improve sleep apnea syndrome not only by eliminating obesity but also by avoiding the risk of metabolic syndrome.

In Example 2, as specific body information, data of visceral fat area, blood pressure value, blood glucose level and blood lipid amount were used, but instead of visceral fat area, visceral fat rate, visceral fat level, etc. An index related to visceral fat may be used. In place of the blood sugar level, a urine sugar value measured with a urine sugar meter may be used.

1 is a configuration diagram of a health management system of Example 1. FIG. It is a block diagram of an overnight measurement terminal. It is a block diagram of a biometric terminal. It is a block diagram of a portable terminal. It is a block diagram of a data management terminal. It is a weight loss program setting table. It is an obesity degree determination table. 3 is a flowchart showing a main routine showing the operation of the first embodiment. It is a flowchart which shows the subroutine of a weight reduction program setting. It is a display example of a result or advice display. It is a display example of a result or advice display. It is a display example of a result or advice display. It is a figure which shows determination of the influence degree to MS of specific physical information.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Health management system 2 Overnight measurement terminal 3 Biometric terminal 4 Portable terminal 5 Data management terminal 20, 30, 40, 50 Communication part 21, 31, 41, 51 Operation part 22, 32, 42, 52 Display part 23, 33, 43, 53 Storage unit 24, 34, 44, 54 Control unit 25 Pressure detection unit 26 Signal analysis unit 27 AHI calculation unit 35 Weight measurement unit 36 Height measurement unit 37 Bioelectrical impedance measurement unit 38 Data calculation unit 39 Obesity level determination unit 45 Acceleration measurement unit 46 Number of steps detection unit 47 Timing unit 48 Calorie intake calculation unit 49 Judgment unit 55 Data management unit 56 Program correction unit 57 Program setting unit 58 Timing unit

Claims (3)

Breathing information input means for inputting an index relating to an apnea-hypopnea state during sleep;
Physical information input means for inputting physical information on at least the degree of obesity;
A health management device comprising advice output means for outputting advice on improvement of the apnea-hypopnea state based on the relationship between the index regarding the apnea-hypopnea state and the degree of obesity ,
Specific physical information input means for inputting a plurality of specific physical information related to metabolic syndrome;
An MS influence determination means that determines which of the plurality of specific body information has a large influence on the metabolic syndrome.
The said advice output means outputs the advice regarding the improvement of the said apnea-hypopnea state according to the specific body information with the said large influence degree, The health management apparatus characterized by the above-mentioned. The health management apparatus according to claim 1, wherein the advice output unit includes a program setting unit that sets a weight loss program for improving the apnea-hypopnea state during sleep, and an influence degree on the metabolic syndrome A health management device , further comprising MS program correction means for correcting the weight loss program based on specific physical information having a large . The health management device according to claim 1 or 2, wherein the specific body information is an index relating to at least visceral fat among an index relating to visceral fat, a blood pressure value, a blood sugar level or a urine sugar value, and an amount of lipid in blood. A health management device characterized by that.

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