JP2005115799A - Health management support system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a health management support system for collecting personal biological information and subjective information during exercise or daily life.
A sensorware that is worn on the body and collects biometric information, a management server that stores biometric information in a storage unit, an input / output device, and a network in which the sensorware, the management server, and the input / output device can communicate. A message knowledge base that describes message contents and message output conditions, a question ID that identifies a question for collecting subjective information, a question content, and answer options When the question ID is included in the condition of the message knowledge base and the knowledge base management unit that manages the inquiry knowledge base, the question ID question contents and answer options are output to the input / output device, and the input answer result is the question ID An inquiry unit that is stored in the storage unit in association with the data, and an advice determination unit that determines a message from the knowledge base according to the data in the storage unit And a message output unit.
[Selection] Figure 1

Description

  The present invention collects health information such as biological information and interview information during exercise or daily life and presents advice and alerts to improve exercise effects, prevent dangerous behavior, improve health and improve safety. It relates to supporting information systems.

  In recent years, awareness of self-health management for extending healthy life expectancy has improved as the birthrate and aging of the population continue to increase with the advancement of medical technology and life science. In particular, there is a need for health care support in daily life and during exercise for those who need attention in health checkups, those who need to be instructed, those with lifestyle-related diseases such as diabetes, and middle-aged people who are worried about physical ability. .

  With regard to such health management support, conventionally, there are information systems in which a sensor that collects biological information is attached to the body to monitor the physical state and determine the situation during exercise (for example, Patent Document 1 and Patent Document 2). In “Life Support Device, Life Support Method, and Advertisement Information Providing Method” described in Patent Document 1, an individual determines a situation such as stress using a biological information sensor worn on the body, and advises or advertisement information according to the situation. Present. In the “physical condition monitoring device” described in Patent Document 2, the physical condition such as the amount of exercise is determined by using an apparatus that is attached to the body integrally with the motion sensor and the pulse wave sensor that the individual wears on the body. Make emergency calls and warnings.

JP 2001-344352 A

Japanese Patent Laid-Open No. 2003-24287

  However, since the information collected is only biometric information, there is a problem that it is difficult to present advice and alerts according to the health condition subjectively felt by individuals such as mood and physical condition. In particular, when using various exercise equipment such as a fitness club, there is a problem that it is difficult to present appropriate advice and alerts because exercise effects and exercise conditions differ depending on the exercise equipment.

  The purpose of the present invention is to collect personal biological information and subjective information during exercise or daily life, and provide advice and alerts to improve exercise effects, prevent dangerous behavior, improve health and improve safety. It is to provide a health management support system.

  The above problem is that sensorware that is worn on the body and collects biometric information, a management server that stores biometric information in a storage unit, an input / output device, and sensorware, the management server, and the input / output device can communicate with each other. A health management support system having a network, which describes a message knowledge base that describes message contents and conditions for outputting messages, a question ID that identifies a question for collecting subjective information, a question content, and answer options When the question ID is included in the conditions of the message knowledge base and the knowledge base management part that manages the inquiry knowledge base to be output, the question ID question contents and answer options are output to the input / output device, and the input answer result is asked An inquiry section that is stored in the storage section in association with the ID, and an advice determination that determines a message from the knowledge base according to data in the storage section When, it can be solved by the health management support system and having a message output unit.

  The above problem can be solved while simplifying the description of the knowledge base by a health management support system characterized by having a biological information calculation unit that determines a physical condition from biological information and stores it in a storage unit.

  In addition, the above-described problems include a user authentication unit that authenticates a user wearing the sensor wear, an exercise type setting unit that sets an exercise type that is performed by the authenticated user, and a sensor wear of the sensor wear according to the set exercise type. A health management support system characterized by having a biological information calculation unit that changes the calculation processing of biological information can be appropriately solved according to the type of exercise.

  In addition, the above problem is that the sensorware manages the biological information calculation unit, the parameter reception unit that receives calculation parameters necessary for the biological information calculation unit from the management server, and the output result of the biological information calculation unit via the network. A health management support system characterized by having a transmission unit that transmits to a server can solve the problem while reducing the amount of communication and the load on the management server.

  In addition, the above-described problems include an exercise menu database that stores an exercise menu composed of one or more exercise items for each individual physical fitness level, a user information database that stores the current physical fitness level, and information in a storage unit. The health management support system characterized by having a physical fitness level update unit that updates the physical fitness level can solve the problem while continuously improving the exercise effect.

  The health management support system of the present invention has the following effects.

  (1) Since it is possible to present appropriate messages and alerts according to the physical condition of the user using biological information and interview information during exercise and daily life, etc., improvement of exercise effect, prevention of dangerous behavior, health promotion and security It becomes possible to support improvement of feeling.

  (2) Since the arithmetic processing is changed using parameter information peculiar to the exercise type, it is possible to determine an appropriate body condition according to the exercise type.

  (3) Since the processing of calculating sensor information by sensorware can be changed and the physical condition can be determined according to the type of exercise, it is not necessary to transmit all sensor information, and the amount of communication can be reduced. In addition, since calculation processing is performed with sensorware, the load on the management server can be reduced.

  (4) In addition to the information on whether or not the numerical goal has been achieved, the physical fitness level can be properly determined based on the individual's subjective information such as subjective exercise intensity. The strength can be updated and the exercise effect can be continuously improved.

  FIG. 1 is a diagram showing a configuration of a health management support system according to an embodiment of the present invention.

  The system according to this embodiment includes a management server 100, a sensorware 150, a network 160, an input / output device 170, and a wireless repeater 140 that performs wireless communication with the sensorware 150 and relays the network 160. The The management server 100 includes a server control unit 101, a user authentication unit 102, a parameter transmission unit 103, a message determination unit 105, an inquiry unit 106, an output unit 109, an exercise item selection unit 110, a server memory 111, , A physical strength level update unit 112, a user information database 122, a parameter database 123, an exercise menu database 124, a knowledge base 125, and a server communication unit 130.

  The sensor wear 150 includes a control unit 151, a communication unit 152, a sensor 153, a memory 154, a calculation unit 155, a vibration unit 156, and a power source 157. The sensorware 150 is assumed to be a semiconductor chip, and it is assumed that it is directly attached to the skin and used like a banquet, but it is embedded in a thing to be worn such as a pendant, a ring, a wristwatch, a key, or clothing. It may be rare.

  The input / output device 170 is assumed to be a PDA, but may be a mobile phone or a wearable PC. Further, a headphone with a microphone having a voice input function and a voice synthesis function may be used. It may also be built into the exercise equipment.

  The network 160 is premised on an in-facility network such as a fitness club, but may be a regional network or a wider area network.

  Although the system of the present embodiment is described as a hardware configuration, the functions of the system of the present embodiment may be configured by software.

  FIG. 2 is a diagram illustrating an example 200 of the user information database 122 in the present embodiment.

  The example database 200 includes a user ID field 201, a password field 202, a personal information field 203 including a name, age, gender, and resting heart rate, a physical strength level field 204 that stores the physical strength level of the user, and a sensor It includes a state field 205 for storing a mounting state indicating whether or not the wearer is mounted, a sensor ID field 206 for storing a sensor ID for identifying the sensorware being mounted, and an input / output device ID field 207.

  For example, in the database example 200, the user with the user ID “user0001” and the user name “Oda △ yuki” has the physical strength level “stage2” and is currently wearing “LOGIN (Wearing wearing sensorware)”. The sensorware indicates that the sensor ID is “00000001”, and the input / output device indicates the device ID “00000001”.

  The device ID may be information unique to the input / output device, such as a device identification number (serial number) or an IP address. Moreover, information unique to the user, such as a member number, a telephone number, and an e-mail address, may be used.

  FIG. 3 is a diagram illustrating an example 300 of the parameter database 123 in the present embodiment.

  An example database 300 includes a user ID field 301, an exercise item ID field 302, a unit calorie consumption field 303 for storing calorie consumption per minute for each exercise item that differs for each individual when the exercise intensity is 0.5, And a state field 304 for storing a parameter for determining a state as a physical condition when the exercise item is performed.

  For example, it is indicated that the user with the user ID “user0001” consumes 4.0 kcal per minute when using an exercise bike and 8.0 kcal per minute when using a treadmill.

  FIG. 4 is a diagram showing an example 400 of the exercise menu database 124 in the present embodiment.

  The database example 400 includes a user ID field 401, a physical fitness level field 402, an exercise item ID field 403, a target calorie consumption field 404 that stores a target value of calorie consumption for each exercise item, and a load target for each exercise item. A target value field 405 that stores a value and a target time field 406 that stores a target value of a duration for each exercise item.

  For example, in the database example 400, when the user with the user ID “user0001” has the physical strength level “stage2”, the exercise menu includes an exercise bike (target calorie consumption 60 kcal, target value 1.5 kw, target number 10 minutes), treadmill (Target calorie consumption 120 kcal, target value 6.0 km / h, target number 15 minutes).

  FIG. 5 is a diagram illustrating an example 500 of the knowledge base 125 in the present embodiment.

  The knowledge base 500 includes a message knowledge base 510, a message master 520, and an inquiry master 530. The message knowledge base 510 stores a user ID field 511, a message ID field 512, a condition field 513 for storing a message ID conforming condition, and a time interval from when the message ID is output once to the next output. A repetition interval field 514.

  For example, the message ID “m000000H” satisfies the conformity condition when “LOAD” indicating exercise intensity is 0.7 or more and continues for 10 seconds or more. In addition, once adapted, even if “LOAD” indicating the exercise intensity is 0.7 or more, the conforming condition is met after 60 seconds.

  The message master 520 includes a message ID field 521, a message field 522, a destination field 523, and a control command field 524.

  The inquiry master 530 includes a question ID field 531, a question content field 532, an answer field 533, and an input waiting field 534.

  FIG. 6 is a flowchart for explaining the operation of the health management support system according to the embodiment of the present invention.

  First, when the user wears the sensor wear 150, the control unit 151 executes step 651 for detecting that the sensor wear is worn using the sensor information collected by the sensor 153. Next, the control unit 151 activates the communication unit 152 and executes Step 652 of transmitting the sensorware ID “00000001” stored in the memory 154 to the management server 100 as sensorware mounting information.

  The server control unit 101 activates the server communication unit 130 and executes Step 601 for receiving the sensorware ID transmitted from the sensorware 150 as sensorware mounting information. Next, the server control unit 101 activates the user authentication unit 102 and executes step 602 for performing user authentication.

  FIG. 8 is a diagram illustrating a screen example 800 of the input / output device 170 when user authentication is performed in step 602.

  The user inputs the user ID in the user ID input text box 801 and the password in the password input text box 802 and presses the authentication button 803. If the input user ID and password match the user ID and password in the user information database 200, the user is authenticated, and “LOGIN” is attached to the status field of the user information database 200 and the sensor ID field 206 is attached. The sensor ID of sensorware is stored. The user information database 200 indicates that the user with the user ID “user0001” is authenticated and the sensorware with the sensor ID “00000001” is attached. The input / output device used by the user with the user ID “user0001” is the device ID “00000001”.

  The device ID is basically the same as the sensor ID, but the device ID of the input / output device managed by the user may be registered in advance. Also, the input / output device whose sensorware is closest to the user may be detected and automatically registered.

  In step 602, user authentication is performed using the input / output device 170. However, the user ID and password are registered in the memory 154 in advance, and the user ID and password are transmitted in step 651. User authentication may be performed using an ID and a password.

  Next, the server control unit 101 executes step 603 of extracting the basic information of the authenticated user from the user information database 122, starting the server communication unit 101, and transmitting it to the sensorware.

  Here, the control unit 151 activates the communication unit 152, executes step 653 for receiving basic information and storing it in the memory 154. At this time, the name, age, gender, and resting heart rate are stored in the memory 154 as basic information. Next, the control unit 151 activates the communication unit 152 and executes Step 654 of making a parameter transmission request.

  Here, the server control unit 101 activates the server communication unit 130 and executes step 604 of receiving a parameter transmission request. Next, the server control unit 101 activates the exercise type setting unit 110 and executes step 605 for allowing the user to select an exercise type.

  FIG. 9 is a diagram illustrating a screen example 900 of the input / output device 170 when the user selects an exercise item in Step 605.

  In the screen example 900, an exercise bike and a treadmill, which are exercise menus of the physical strength level “stage2” extracted from the exercise menu database example 400, are output to the user with the user name “Oda △ yuki”. A check box 901 for selecting is selected. For the exercise bike, an achievement mark 902 indicating that the target calorie consumption has been exceeded is output.

  If the exercise type is selected in step 605, step 606 for storing the exercise type in the server memory 111 is executed. In the screen example 900, since the check box 901 is selected, the exercise item “treadmill” is stored in the server memory 111 as the exercise item. In step 605, the exercise type selected by the user is set as the exercise type, but the exercise type may be identified and set based on the acceleration information of the sensor information. Also, the exercise type may be identified and set based on the position information of the sensor information.

  Next, the server control unit 101 extracts parameters from the parameter database 123 using the exercise item set in the server memory 111, activates the server communication unit 130, and transmits the extracted parameters to the sensorware. Execute.

  Here, the control unit 151 activates the communication unit 152 and executes Step 655 for receiving the parameter and storing it in the memory 154. In step 655, since the exercise item “treadmill” is stored in the server memory 111, the exercise item ID “treadmill” and the unit calorie consumption “8.0” are stored in the memory 154.

  Next, the control unit 151 executes Step 656 of collecting biological information using the sensor 153. The biological information collected in step 656 includes pulse wave, blood oxygen saturation, skin conductivity, heart rate, body temperature, sweating volume, systolic blood pressure, diastolic blood pressure, body fat percentage, electrocardiogram, myoelectricity, electroencephalogram, and heart. It includes one or more of magnetism, brain magnetism, ultrasonic reflected wave, infrared reflected light, near infrared light, acceleration, temperature, humidity, position information, and the like.

  Next, the control unit 151 activates the calculation unit 155 and executes Step 657 for determining the physical condition using the biological information collected by the sensor 153 and the basic information and parameter information stored in the memory 154.

When exercising intensity (LOAD) is determined as the physical condition, (Equation 1) is used (converting the Carbonnen equation). In (Equation 1), the heart rate collected by the sensor 153 as biological information is used, and the age and resting heart rate stored in the memory 154 are used as basic information.
Exercise intensity = (Heart rate-Resting heart rate) / {(220-Age)-Resting heart rate}
... (Equation 1)
For example, in the case of the user with the user ID “user0001”, the age is 30 and the heart rate is 70 at rest. When the heart rate is 160, the exercise intensity is 0.75.

When determining calorie consumption per minute as the physical condition, (Equation 2) is used. In (Equation 2), the unit calorie consumption stored in the memory 154 as the parameter information and the exercise intensity obtained in (Equation 1) are used.
Calorie consumption = unit calorie consumption × (exercise intensity / 0.5) (Equation 2)
For example, when the exercise item “treadmill” is selected by the user with the user ID “user0001”, the unit calorie consumption 8.0 kcal is stored as the parameter information in the memory 154, so the calorie consumption per minute is When the exercise intensity is 0.25, it is 2.00 kcal, when the exercise intensity is 0.54, it is 8.64 kcal, and when the exercise intensity is 0.75, it is 10.00 kcal.

  When the state (STATUS) is determined as the physical state, the state parameter information stored in the memory 154 is used as the parameter information, and the user state is determined from the biological information.

  For example, when the exercise item “treadmill” is selected by the user with the user ID “user0001”, since the state parameter 311 is stored as parameter information in the memory 154, the standing position (STANDING), In progress (RUNNING), fall (FALLING) is determined.

  In particular, in RUNNING, as parameter information, the displacement amount of acceleration in the left-right direction (x-axis), the front-rear direction (y-axis), the up-down direction (z-axis), and the displacement amount of the rotation angle of the x-axis, y-axis, and z-axis. When the acceleration parameter indicating is set and the displacement amount of the z-axis is 1 or more, it is determined as “RUNNING”. In addition, when the exercise item “aero bike” is selected, it is determined as “RUNNING” when the displacement amount of the z-axis is 0.5 or more. As described above, since the calculation process is changed according to the parameter information, it is possible to determine an appropriate physical condition according to the type of exercise.

  Next, the control unit 151 activates the communication unit 152 and executes Step 658 for transmitting the biological information collected in Step 656 and the physical condition determined in Step 657 as sensor information. Here, the server control unit 101 activates the server communication unit 130, executes step 608 for receiving the sensor information and storing it in the server memory 111.

  As described above, since the processing of calculating sensor information by the sensor wear can be changed and the physical condition can be determined according to the type of exercise, it is not necessary to transmit all the sensor information, and the amount of communication can be reduced. In addition, since calculation processing is performed with sensorware, the load on the management server can be reduced.

  Next, the server control unit 101 activates the message determination unit 105 and executes Step 609 for performing message processing using the sensor information.

  FIG. 7 is a flowchart for explaining the operation of the management server 100 when performing message processing in step 609. The message determination unit 105 executes Step 701 for extracting a message corresponding to the sensor information from the knowledge base 500. If no message is extracted in step 701, the message processing is terminated. If the message is extracted in step 701, the message determination unit 105 executes step 702 for determining the collection information necessary for determining the message.

  For example, when the exercise intensity (LOAD), which is a physical condition, is “0.75” and continues for 20 seconds, the message ID “m000000H” is extracted in Step 701. In this example, since there is no collection information necessary for determining the message, the message determining unit 105 activates the output unit 109 and executes Step 705 for outputting the message.

  FIG. 10 is a diagram showing a screen example 1000 of the input / output device 170 when a message is output in step 705.

  In the example illustrated in FIG. 10, when the state of high exercise intensity continues, a message “Do not work too hard” is output as advice to call attention. In this way, since appropriate advice can be presented according to the user's exercise situation, the user can improve safety during exercise.

  For example, if the state (STATUS) of the physical condition is “FALLING”, the message ID “m0001000” is extracted in step 701, and there is no collection information necessary for determining the message. , The output unit 109 is activated and step 705 for outputting a message is executed.

  FIG. 11 is a diagram showing an example screen 1100 of the input / output device 170 when a message is output in step 805.

  In the example shown in FIG. 11, since the user with the user ID “user0001” has fallen down, the message “Mr. Yasuyuki has fallen down” is used as an alert to notify the emergency state that the destination “STAFF” is using Output to the output device. Thus, since an alert can be presented according to the user's physical condition, the staff can efficiently carry out the user's safety management.

  In step 701, for example, when the state (STATUS) as the physical condition is “RUNNING” and the exercise intensity (LOAD) is “0.38” and continues for 20 seconds, the message ID “m000000L” and “ m000000L2 ”is extracted, and in step 702, the question ID“ q000100 ”is extracted as the collection information necessary for determining the message.

  Next, the message determination unit 105 executes Step 703 for determining whether or not the server memory 111 has an answer result corresponding to the collected information necessary for determining the message.

  If it is determined in step 703 that there is no answer result, the message determination unit 105 activates the inquiry unit 106 and executes step 704 for performing an inquiry process for collecting information necessary for determining the message.

  FIG. 12 is a diagram showing a screen example 1200 of the input / output device 170 when the inquiry process for collecting the answer results of the question with the question ID “q0001000” is performed in step 704.

  In the screen example 1200, the choices “good”, “normal”, and “bad” are output for the question “How is your physical condition?”. The user can input an answer by selecting an option and pressing a confirmation button 1202.

  Next, the inquiry unit 106 executes step 705 for acquiring the selected answer and storing it in the server memory 111. In the screen example 1200, since the option 1201 “bad” is selected, the inquiry unit 106 stores the question ID “q0001000” and the answer result “3” in the server memory 111.

  Next, the message determination unit 105 executes step 702, and if it determines that there is no necessary collection information, it executes step 706 for outputting a message.

  FIG. 13 is a diagram showing a screen example 1300 of the input / output device 170 when a message is output in step 706.

  In the example shown in FIG. 13, since the state of low exercise intensity continues and the physical condition is poor, a message “Let's reduce the pace a little” is output as advice.

  In step 704, if the choice “good” is selected for the question “How is your physical condition?” Corresponding to the question ID “q0001000”, as an input / output device 170 shown in FIG. , The message “Let's work harder” is output.

  As described above, since it is possible to collect subjective information such as mood and physical condition that cannot be collected only by biological information, it is possible to present appropriate advice according to the physical condition of the user. In addition, since the physical condition determined from the biological information can be used as a message output determination condition, the knowledge base can be described easily.

  If the end button 903 is selected in step 605, the exercise menu “MENU” and end “FINISH” are stored in the server memory 111.

  Here, the server control unit 101 determines whether or not the goal has been achieved in step 609 for performing message processing (the sum of calories consumed for each exercise item (TCAL) at the end of the exercise menu is the target calorie consumption for each exercise item). The answer result corresponding to the question ID “q0001rpe” relating to the subjective exercise intensity (RPE), which is the degree to which the individual subjectively determines the degree of exercise performed, is stored in the server memory 111. A process for determining whether or not there is present is executed.

  Here, when the goal is achieved (TCAL ≧ TargetTotalCAL) and when it is determined that there is no answer result corresponding to the question ID “q0001rpe”, the message determination unit 105 activates the inquiry unit 106 and performs the inquiry process. Step 704 is performed.

  FIG. 14 is a diagram showing a screen example 1400 of the input / output device 170 when performing an inquiry process for collecting the answer results of the question with the question ID “q0001rpe”.

  In the screen example 1400, the options “Easy”, “Normal”, and “Tight” are output for the question “How was the exercise?”. In the screen example 1400, since the option 1401 “Raku” is selected by the user, the inquiry unit 106 receives the question ID “q0001rpe” and the answer result “1”, “LEVEL_UP” as the control command, and server memory. 111.

  Next, the server control unit 101 activates the physical strength level updating unit 112 and executes Step 610 for updating the physical strength level based on the information in the server memory 111. Since the control command “LEVEL_UP” is stored in the server memory 111, the physical strength level of the user ID “user0001” is updated from “stage2” to “stage3”.

  In this way, it is possible to properly determine the physical fitness level based on the individual's subjective information such as subjective exercise intensity in addition to the information on whether or not the numerical goal has been achieved. It can be updated to exercise intensity, and the exercise effect can be continuously improved.

  FIG. 15 is a diagram showing a screen example 1500 when the user refers to the exercise history on the input / output terminal 170.

  The total calorie consumption (TCAL) for each exercise type for each exercise day is output as a bar graph 1501, and the total target calorie consumption for each exercise item (TargetTotalCAL) is output as a line graph 1502. Also, “LEVEL_UP (↑)” “LEVEL_DOWN (↓)” for physical fitness level information 1503, “achieved (◯)” “unachieved (×)” for target achievement (TCAL ≧ TargetTotalCAL) information 1504, subjective “Easy (◎)”, “Normal (◯)”, and “Tight (×)” are output for the exercise intensity information 1505.

  In this way, the individual's exercise implementation status can be confirmed as a history of physical fitness level, goal achievement status, and subjective exercise intensity, so the willingness to continue exercise can be improved.

  This system can be used not only during exercise but also in daily life with sensor wear on the body.

  For example, when it is determined in step 657 that the circulatory state (C_STATUS) is “arrhythmia (ARRHYTHMIA)” as a physical condition, it is determined in step 609 whether or not there is an answer result corresponding to the question ID “q0000000”. Execute the process. If it is determined that there is no answer result corresponding to the question ID “q0000000”, the message determination unit 105 activates the inquiry unit 106 and executes step 704 for performing inquiry processing.

  FIG. 16 is a diagram showing a screen example 1600 of the input / output device 170 when performing an inquiry process for collecting the answer results of the question with the question ID “q0000000”.

  In the screen example 1600, the options “Yes” and “No” are output for the question “Are you okay?”. In the screen example 1600, the option 1602 “No” is selected as a default, and an input waiting time 1603 is displayed.

  Here, when the user selects the option 1601 “Yes”, the message ID “Please consult a doctor about arrhythmia” is output to the input / output device 170, but the user selects the option 1601 “No”. If the input waiting time 1603 becomes “0”, it is determined that the option 1602 “No” is selected, and the message ID “arrhythmia. Please check the state” is output to the destination “FAMILY”. To do.

  For example, when it is determined in step 657 that the circulatory state (C_STATUS) is “ventricular fibrillation (VR)” as the physical condition, the message “m0001VF” is sent to the address “RESQUE” to which the emergency notification to the hospital is made. Output to.

  For example, when it is determined in step 657 that the sleep state (S_STATUS) is “sleep apnea syndrome (SAS)” as the physical state, the message “m0001SAS” is sent to the doctor “DOCTOR” as an address for emergency notification. Is output.

  Daily health conditions such as diet / nutrition status (N_STATUS), lifestyle (L_STATUS), rest status (R_STATUS), etc. can be set as the physical status, and messages can be output according to the physical status.

  In this way, even during daily life and during sleep, subjective information that cannot be collected only by biometric information can be collected by the inquiry process, so that it is possible to present appropriate advice according to the physical condition of the user.

  In addition, it can be used for emergency notifications to hospitals and doctors and emergency communications to family members, so it is possible to improve the sense of security in daily life.

  When step 610 is completed, the server control unit 101 activates the server communication unit 130 and executes step 611 for receiving sensorware removal information. If not received, step 604 is executed again, and the subsequent processing is repeated.

  Here, the control unit 151 executes Step 659 for detecting whether or not the sensor wear is removed using the sensor information collected by the sensor 153. If it is detected that the sensorware has not been removed, step 654 is executed again, and the subsequent processing is repeated. If it is detected that the sensorware has been removed, step 660 of transmitting sensorware removal information is executed.

  In step 611, when the server control unit 101 receives the sensorware removal information, the server control unit 101 executes step 612 for executing user logout. At this time, “LOGOUT” in the status field of the user information database 200 and the sensor ID in the sensor ID field 206 are deleted.

  In this embodiment, the output of the management server 100 is output to the input / output device 170. However, when the wireless communication cannot be performed because the input / output device 170 is not turned on, the radio wave does not reach, etc., the output unit 109 activates the server communication unit 130 and transmits a vibration command to the sensorware 150. When the sensor wear 150 receives the vibration command, the control unit 151 activates the vibration unit 156 to vibrate the sensor wear. At this time, the user turns on the power of the input / output device, brings the input / output device into a range where radio waves reach, or uses a terminal that can be used for general purposes. Referrals and interviews can be conducted.

  As described above, even when the message cannot be output to the input / output device, the user can recognize that the message has been output by the sensorware, and can always refer to appropriate advice and alert.

  According to the health management support system of the present invention, since appropriate messages and alerts can be presented, it is possible to support the improvement of exercise effects, the prevention of dangerous behavior, the promotion of health and the improvement of security, and the appropriate physical condition according to the type of exercise. In addition to information on whether or not a numerical goal has been achieved, the physical fitness level can be appropriately judged based on individual subjective information such as subjective exercise intensity. The strength can be updated and the exercise effect can be continuously improved. In addition, the amount of communication can be reduced, and the load on the management server can be reduced.

The figure which shows the structure of the health management assistance system of the Example of this invention. The figure which shows the example of the user information database in the Example of this invention. The figure which shows the example of the parameter database in the Example of this invention. The figure which shows the example of the exercise menu database in the Example of this invention. It is a figure which shows the example of the knowledge base in the Example of this invention. The flowchart explaining operation | movement of the health-care assistance system of the Example of this invention. The flowchart explaining operation | movement of the management server when performing a message process in the Example of this invention. The figure which shows the example of a screen of the input / output device when performing user authentication in the Example of this invention. The figure which shows the example of a screen of an input / output device when a user selects an exercise item in the Example of this invention. The figure which shows the example of a screen of an input / output device when a message is output in the Example of this invention. The figure which shows the example of a screen of an input / output device when a message is output in the Example of this invention. The figure which shows the example of a screen of the input / output device when performing an inquiry process in the Example of this invention. The figure which shows the example of a screen of an input / output device when a message is output in the Example of this invention. The figure which shows the example of a screen of the input / output device when performing an inquiry process in the Example of this invention. The figure which shows the example of a screen of an input / output device when a user refers to an exercise | movement history in the Example of this invention. The figure which shows the example of a screen of the input / output device when performing an inquiry process in the Example of this invention.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 100 ... Management server, 150 ... Sensorware, 160 ... Network, 170 ... Input / output device, 140 ... Wireless repeater, 101 ... Server control part, 102 ... User authentication part, 103 ... Parameter transmission part, 105 ... Message judgment part, DESCRIPTION OF SYMBOLS 106 ... Interrogation part, 109 ... Output part, 110 ... Exercise item selection part, 111 ... Server memory, 112 ... Physical strength level update part, 122 ... User information database, 123 ... Parameter database, 124 ... Exercise menu database, 125 ... Knowledge base , 130: Server communication unit, 151 ... Control unit, 152 ... Communication unit, 153 ... Sensor, 154 ... Memory, 155 ... Calculation unit, 156 ... Vibration unit, 157 Power supply, 200 ... Example of user information database, 201 ... User ID Field 202 ... Password field 203 ... Personal information Field, 204 ... Physical fitness level field, 205 ... Status field, 206 ... Sensor ID field, 207 ... Input / output device ID field, 300 ... Example of parameter database, 301 ... User ID field, 302 ... Exercise item ID field, 303 ... Unit Calorie consumption field, 304 ... State field, 311 ... Treadmill state parameter, 400 ... Example of exercise menu database, 401 ... User ID field, 402 ... Physical fitness level field, 403 ... Exercise item ID field, 404 ... Target calorie consumption field 405 ... Target value field 406 ... Target time field 500 ... Example of knowledge base 510 ... Message knowledge base 520 ... Message master 530 ... Interview master 511 ... User D field, 512 ... message ID field, 513 ... condition field, 514 ... repetition interval field, 521 ... message ID field, 522 ... message field, 523 ... destination field, 524 ... control command field, 531 ... question ID field, 532 ... Question content field, 533 ... reply field, 534 ... input waiting field, 601 ... step for receiving sensorware mounting information, 602 ... step for performing user authentication, 603 ... step for sending basic information, 604 ... receiving a parameter transmission request 605... Step for setting exercise type, 606. Step for storing exercise type, 607... Step for transmitting parameters, 608... Step for receiving sensor information, 609. , 610... Receiving sensor wear removal information, 611... Executing user logout, 651... Detecting that sensor wear is mounted, 652 .. transmitting sensor wear mounting information, 653. ... step for receiving basic information, 654 ... step for requesting parameter transmission, 655 ... step for receiving parameter, 656 ... step for collecting biological information, 657 ... step for determining physical condition, 658 ... for sending sensor information , 659... Detecting whether or not the sensorware has been removed, 660... Transmitting the sensorware removal information, 701... Extracting the message, 702... Collecting information necessary for determining the message. Step, 703 ... Message Step for determining whether or not there is an answer result corresponding to the collected information necessary for the determination, 704... Interrogation processing, 705... Outputting message, 706... Outputting message, 800. 801 ... User ID input text box, 802 ... Password input text box, 803 ... Authentication button, 900 ... Example screen when setting exercise item, 901 ... Check box, 902 ... Achievement mark, 1000 , 1100, 1300... Screen example when message is output, 1200, 1400... Screen example when performing inquiry processing, 1201, 1401... Option, 1202, 1402 .. confirmation button, 1500. Screen example of time, 1501 ... of calories burned for each exercise item Sum bar graph, 1502 ... Total graph of target calories burned for each exercise event (TargetTotalCAL), 1503 ... Physical fitness level information, 1504 ... Target achievement information, 1505 ... Subjective exercise intensity information, 1600 ... Interview processing Screen example, 1601 ... 1602 ... options, 1603 ... input waiting time, 1604 ... confirmation button.

Claims (5)

  Sensorware that is worn on the body and collects biological information, a management server that stores the biological information in a storage unit, an input / output device, and a network in which the sensorware, the management server, and the input / output device can communicate A message knowledge base that describes message contents and message output conditions, a question ID that identifies a question for collecting subjective information, a question content, and answer options A knowledge base management unit for managing an inquiry knowledge base, and when the question ID is included in the condition of the message knowledge base, the question contents and answer options of the question ID are output to the input / output device, and the input answer An inquiry unit that associates a result with the question ID and stores the result in the storage unit, and from the knowledge base according to data in the storage unit Health management support system, characterized in that it comprises a advice determination unit for determining messages, and a message output unit.   2. The health management support system according to claim 1, further comprising a biological information calculation unit that determines a physical condition from the biological information and stores the physical condition in the storage unit.   3. The health management support system according to claim 2, wherein a user authentication unit that authenticates a user wearing the sensor wear, an exercise item setting unit that sets an exercise item executed by the authenticated user, and a set exercise A health management support system comprising: a biological information calculation unit that changes a calculation process of the biological information of the sensorware according to an event.   The health management support system according to claim 2 or claim 3, wherein the sensorware receives the biological information calculation unit, and a parameter reception unit that receives calculation parameters necessary for the biological information calculation unit from the management server, A health management support system comprising: a transmission unit that transmits an output result of the biological information calculation unit to the management server via the network.   The health management support system according to any one of claims 1 to 4, wherein an exercise menu database that stores an exercise menu composed of one or more exercise items for each individual physical fitness level, and a current physical fitness level. A health management support system comprising: a user information database to be stored; and a physical fitness level update unit that updates a physical fitness level based on information stored in the storage unit.

Images