JP2010003070A - Health condition management device, health condition management method, health condition management program and health information management system - Google Patents

Abstract

A health information management system and a health condition management capable of reducing the burden on the human body when acquiring a biological signal, allowing the operator during work to grasp the health condition, and prompting the operator to improve the health condition An object is to provide a device, a health condition management method, and a health condition management program.
The present invention collects and analyzes biological signals and step count information such as a change in posture of a human body, a change in body temperature distribution, a history of input operation, and information on a moving distance in a state of normal work, and an operator Manage health status during work.
[Selection] Figure 10

Description

  The present invention relates to a health information management system, a health condition management device, a health condition management method, and a health condition management program for managing a health condition based on a biological signal of a human body during work.

  In recent years, with the spread of computers (personal computers), various operations are often performed using computers. Particularly in the business field, OA (Office Automation) is progressing, and operations using computers are increasing.

  Therefore, in a corporate office or the like, various ideas have been made to collect the environment and data of the operator, grasp the operator's activity state, etc., and reduce the stress caused by the operation operation of the computer.

For example, Patent Document 1 discloses a computer that acquires health condition information indicating the health condition of an operator using a perspiration amount detection sensor, a temperature detection sensor, and a heart rate detection device that is wound around the operator's wrist. The system is described.
JP 2005-122339 A

  However, in the invention described in Patent Document 1, in order to obtain the health status information of the operator, the operator places his / her hand on the sweating amount detection sensor and the temperature detection sensor and wears a heart rate detection device on the wrist during the operation work. There must be. For this reason, the operator is forced to be aware that the health condition information is being measured, and as a result, it is difficult to acquire the health condition information in a normal operation.

  The invention described in Patent Document 1 detects only the sweating amount, body temperature, and heart rate of the operator. Regarding the handling of information that is closely related to work such as computer input operation time and posture during operation, etc. Not considered.

  In view of the above circumstances, the present invention has been made to solve this problem, reduces the burden on the human body when acquiring a biological signal, makes the operator in business know the health condition, It is an object of the present invention to provide a health information management system, a health condition management device, a health condition management method, and a health condition management program that can promote improvement of health conditions.

  The present invention employs the following configuration in order to achieve the above object.

  The present invention is a health condition management apparatus that is connected to a collection device that collects biological signals of the human body during work, and that manages the health status of the human body during work based on the biological signals collected by the collection device, By a database storing patterns recommended as information indicating health status, the input history information collected by the input device of the collection device, collected by the collection device, and a weighted detection device communicating with the collection device Collected information acquisition means for acquiring the weighted change information detected and the temperature distribution information of the human body measured by the measuring device that communicates with the collecting device, and information on the exercise state of the human body that is attached to the human body Receiving means for receiving information on the exercise status by communicating with a detection device for detecting the recommended pattern, and the recommended pattern stored in the database It said biological signal acquired by the acquisition information acquiring unit, based on the information on the received the physical exercise condition by the receiving means, and configured to have, analyzing means for analyzing the health condition.

  The present invention is connected to a collection device that collects biological signals of the human body during work, has a database storing patterns recommended as information indicating health conditions, and the biological signals collected by the collection device A health condition management method by a health condition management apparatus for managing the health condition of a human body based on work, wherein the input history information collected by the input apparatus of the collection apparatus, collected by the collection apparatus, and the collection apparatus, A collection information acquisition procedure for acquiring weight change information detected by a weight detection device that performs communication and temperature distribution information of a human body measured by a measurement device that communicates with the collection device, and is attached to the human body A receiving procedure for communicating with a detection device for detecting information relating to the exercise status of a human body and receiving the information relating to the exercise status; and stored in the database A method comprising: an analysis procedure for analyzing a health condition based on the recommended pattern, the biological signal acquired by the collection information acquisition procedure, and the information on the exercise status received by the reception procedure; did.

  The present invention is connected to a collection device that collects biological signals of the human body during work, has a database storing patterns recommended as information indicating health conditions, and the biological signals collected by the collection device A health condition management program that is executed in a health condition management apparatus that manages the health condition of a human body that is based on work, and that is collected in the collection apparatus by the health condition management apparatus, according to an input device of the collection apparatus Collection information for acquiring the input history information, weight change information detected by a weight detection device communicating with the collection device, and temperature distribution information of a human body measured by a measurement device communicating with the collection device Obtaining information about the exercise status by communicating with a detection device that is attached to the human body and detects information on the exercise status of the human body. Based on the receiving step of transmitting, the recommended pattern stored in the database, the biological signal acquired by the collected information acquiring step, and the information on the exercise status received by the receiving step. And an analysis step for analyzing the state.

  The present invention is configured by connecting a collection device that collects biological signals of the human body during work and a health condition management device that manages the health state of the human body during work based on the biological signals collected by the collection device. The health condition management device includes a database storing patterns recommended as information indicating a health condition, and the input device included in the collection device that is collected in the collection device. Collection information acquisition for acquiring input history information, weight change information detected by a weight detection device communicating with the collection device, and temperature distribution information of a human body measured by a measurement device communicating with the collection device Means for receiving information relating to the exercise situation in communication with a detection device for detecting information relating to the exercise situation of the human body Analysis for analyzing a health condition based on the recommended pattern stored in the database, the biological signal acquired by the collection information acquisition unit, and the information on the exercise status received by the reception unit Means.

  ADVANTAGE OF THE INVENTION According to this invention, the burden on the human body at the time of acquiring a biomedical signal can be reduced, an operator in business can grasp | ascertain a health condition, and improvement of an operator's health condition can be promoted.

The present invention collects and analyzes information related to biological signals and step count information such as changes in the posture of the human body, changes in body temperature distribution, history of input operations, and movement distance in the normal work state, during the work of the operator Manage health status.
(First embodiment)
A first embodiment of the present invention will be described below with reference to the drawings. FIG. 1 is a diagram illustrating a system configuration of the first embodiment.

  In the health condition management system 100 of this embodiment, a collection device 200 and a management server 300 are connected via a network 400.

  The collection device 200 according to the present embodiment can communicate with a weight detection device 210 for detecting a change in the posture of a human body, which is one of biological signals, and a measurement device 220 for measuring a distribution of the body temperature of the human body. is there. The collection device 200 according to the present embodiment includes information on a change in weight detected by the weight detection device 210 (hereinafter referred to as weight change information) and information on a distribution of body temperature measured by the measurement device 220 (hereinafter referred to as temperature distribution information). collect. Further, the collection device 200 of the present embodiment includes an input device to be described later, and collects input history information (hereinafter, input history information) by the input device.

  The management server 300 according to the present embodiment acquires information collected by the collection device 200. The management server 300 also receives information regarding the number of steps of the operator (hereinafter referred to as step count information) detected by the pedometer (registered trademark) 230 attached to the operator's body. The pedometer (registered trademark) 230 detects whether the operator is walking or stationary, and detects the number of steps (steps) of the operator when walking. The pedometer (registered trademark) 230 of the present embodiment has a wireless communication function, and transmits detection result information to the management server 300.

  In addition, the management server 300 according to the present embodiment can obtain the operator's current position, moving distance, and the like based on a signal transmitted from a portable terminal 240 having a GPS (Global Positioning System) function possessed by the operator.

  The management server 300 is based on information collected by the collection device 200, information on the number of steps transmitted from the pedometer (registered trademark) 230, information on the operator's current position obtained from the portable terminal 240, etc. Manage your health.

  FIG. 2 is a diagram illustrating an example of a hardware configuration of the collection apparatus 200 according to the present embodiment. The collection device 200 includes an input device 21, an output device 22, a drive device 23, an auxiliary storage device 24, a memory device 25, an arithmetic processing device 26, and an interface device 27 that are mutually connected by a bus B.

  The input device 21 includes a keyboard and a mouse, and is used for inputting various signals. The output device 22 includes a display device and is used to display various windows, data, and the like. The interface device 27 includes a modem, a LAN card, and the like, and is used to connect to the network 400. The collection device 200 transmits and receives information to and from other devices on the network 400 via the interface device 27.

  The collection program of the present invention is at least a part of various programs that control the collection apparatus 200. The collection program is provided by, for example, distribution of the recording medium 28 or downloading from the network 400. The recording medium 28 on which the collection program is recorded is information such as a CD-ROM, a flexible disk, a magneto-optical disk, etc., a recording medium for recording information optically, electrically or magnetically, a ROM, a flash memory, etc. Various types of recording media such as a semiconductor memory for electrical recording can be used.

  When the recording medium 28 on which the collection program is recorded is set in the drive device 23, the collection program is installed from the recording medium 48 into the auxiliary storage device 24 via the drive device 23. The collection program downloaded from the network 400 is installed in the auxiliary storage device 24 via the interface device 27.

  The collection device 200 stores the installed collection program and stores necessary files, data, and the like. The memory device 25 reads and stores the collected program from the auxiliary storage device 24 when the computer is activated. The arithmetic processing unit 26 implements various types of processing as will be described later according to the collection program stored in the memory device 25.

  FIG. 3 is a diagram illustrating an example of a hardware configuration of the management server 300. The management server 300 includes an input device 31, an output device 32, a drive device 33, an auxiliary storage device 34, a memory device 35, an arithmetic processing device 36, and an interface device 37 that are mutually connected by a bus B.

  The input device 31 includes a keyboard and a mouse, and is used for inputting various signals. The output device 32 includes a display device and is used to display various windows, data, and the like. The interface device 37 includes a modem, a LAN card, and the like, and is used for connecting to the network 400. The management server 300 transmits / receives information to / from other devices on the network 400 via the interface device 37.

  The management program of the present invention is at least a part of various programs that control the management server 300. The management program is provided by, for example, distribution of the recording medium 38 or downloading from the network 400. The recording medium 38 on which the management program is recorded is information such as a recording medium such as a CD-ROM, a flexible disk, a magneto-optical disk, etc., an optical, electrical, or magnetic recording medium, a ROM, a flash memory, etc. Various types of recording media such as a semiconductor memory for electrical recording can be used.

  When the recording medium 38 on which the management program is recorded is set in the drive device 33, the management program is installed from the recording medium 48 into the auxiliary storage device 34 via the drive device 33. The management program downloaded from the network 400 is installed in the auxiliary storage device 34 via the interface device 37.

  The management server 300 stores the installed management program and stores necessary files, data, and the like. The memory device 35 reads and stores the management program from the auxiliary storage device 34 when the computer is activated. The arithmetic processing unit 36 implements various processes as will be described later in accordance with the management program stored in the memory device 35.

  Next, the collection apparatus 200 of this embodiment will be further described with reference to FIG. FIG. 4 is a diagram for explaining the collection device 200.

  As shown in FIG. 4, the collection apparatus 200 of the present embodiment is realized by a computer that is arranged on a general desk or the like and operated by an operator. Therefore, in the present embodiment, normal tasks such as document creation, data input, and program creation can be performed using the collection apparatus 200.

  The collection device 200 of the present embodiment is installed on a desk 50 and operated by an operator sitting on a chair 60. The operation of the collection device 200 is mainly performed by a keyboard 21a constituting the input device 21 and a mouse 21b which is a pointing device. The result of the operation using the keyboard 21a and the mouse 21b is displayed on the output device (display) 22.

  The weight detection apparatus 210 according to the present embodiment detects weight information by an operator and transmits the detected information to the collection apparatus 200 through wireless communication. The weight detection device 210 according to the present embodiment includes a desktop weight detection device 210 a installed on the desk 50 and a seat weight detection device 210 b installed on the seat surface 61 of the chair 60. The desk weight detection device 210a detects the weight due to the elbow, arm, hand, etc. of the operator placed on the desk 50, for example. The desktop weight detection device 210a is preferably arranged in front of the keyboard 21a. The seat surface weight detection device 210b detects the weight applied by the operator's buttocks or the like when the operator sits on the chair 60.

  The measuring device 220 of this embodiment measures the distribution of the body temperature of the operator, and transmits information on the measurement result to the collecting device 200 by wireless communication. The measuring apparatus 220 according to the present embodiment can be realized by, for example, thermography. The measuring device 220 is preferably installed at a position where the temperature distribution of the upper body of the operator can be measured when the operator sits on the chair 60. The measuring device 220 of the present embodiment is disposed on the pedestal portion of the display 22 included in the collecting device 200. The arrangement position of the measuring device 220 is not limited to this. For example, the measuring device 220 may be installed on the bezel portion of the display 22.

  Moreover, although the weight detection apparatus 210 and the measurement apparatus 220 of this embodiment demonstrated as what performs radio | wireless communication with the collection apparatus 200, it is not limited to this. Each of the weight detection device 210 and the measurement device 220 may be connected to the collection device 200 by wire.

  Here, with reference to FIG. 5, the detection of the weight in the weight detection apparatus 210 of this embodiment is demonstrated. FIG. 5 is a diagram for explaining the weight detection apparatus 210. FIG. 5A is a diagram for explaining the desktop weight detection device 210a, and FIG. 5B is a diagram for explaining the seat weight detection device 210b.

  The desktop weight detection device 210a of the present embodiment is configured by, for example, a pressure sensor group 211a being built in an armrest for supporting an operator's arm or the like during operation.

  In the desktop weight detection device 210a, when the surface on which the operator can place an arm or the like is the surface 212a, the surface 212a is divided into a plurality of regions, and the pressure sensor 211 is built in each of the divided regions. A desktop weight detection device 210a shown in FIG. 5A divides a surface 212a into eight regions, and a pressure sensor 211 is incorporated in each of the divided eight regions. The desk load detecting device 210a can detect a change in the position of the operator's arm or the like on the desk as a change in pressure detected by each of the pressure sensors 211 constituting the pressure sensor group 211a. Therefore, the desktop weight detection device 210a can detect the position where the arm of the operator is placed, the degree of weighting, and the like.

  As shown in FIG. 5 (B), the seat weight detection device 210b has the same configuration as the desk load detection device 210a. The seating surface load detection device 210b of the present embodiment may be configured such that a pressure sensor group 213a is built in a mattress, a cushion, a cushion, or the like placed on the seating surface 61 of the chair 60, for example. In the seat surface weight detection device 210b, the seat surface weight detection device 210b may be divided into four regions, and a pressure sensor 213 may be provided for each of the divided regions. The seat surface weight detection device 210b can detect a change in the posture of the operator sitting on the chair 60 as a change in pressure detected by each of the pressure sensors 213 constituting the pressure sensor group 213b.

  In the present embodiment, the weight detection device 210 has been described as being composed of the desktop weight detection device 210a and the seat weight detection device 210b. However, the present invention is not limited to this. For example, the weight detection device 210 may be disposed on the backrest of the chair 60. Moreover, the weight detection apparatus 210 may be arrange | positioned at the step when an operator sits on the chair 60, for example.

  Next, functions of the collection device 200, the weight detection device 210, and the measurement device 220 of this embodiment will be described with reference to FIG. FIG. 6 is a diagram illustrating the functions of the collection device 200, the weight detection device 210, and the measurement device 220.

  The collection device 200 includes a collection start detection unit 250, a collection start control unit 255, an input history collection unit 260, a weighted information collection unit 265, a temperature distribution collection unit 270, a transmission unit 275, a reception unit 280, and a display control unit 285.

  The collection start detection unit 250 detects timing for starting collection of various types of information. Specifically, for example, the collection start detection unit 250 may use the time when the collection device 200 is activated as the collection start timing. Further, for example, the collection start detection unit 250 may detect the time when the preset time is reached as the collection start timing. The preset time is, for example, the start time of working hours. In addition, the collection start detection unit 250 may detect, for example, when the weight is detected by the weight detection device 210 for the first time after the date has changed, as the collection start timing.

  When the collection start detection unit 250 detects the collection start timing, the collection start control unit 255 causes the input history collection unit 260, the weighted information collection unit 265, and the temperature distribution collection unit 270 to start collecting information.

  The input history collection unit 260 collects input history information using the keyboard 21a and the mouse 21b. The input history information in this embodiment is information indicating whether the keyboard 21a is operated and information indicating whether the mouse 21b is operated. The input history information may include information indicating which key on the keyboard 21a is being operated. The input history information may include information indicating the type of operation of the mouse 21b. The type of operation of the mouse 21b is, for example, an operation of moving the pointer, an operation of clicking, an operation of scrolling the screen, or the like.

  The weight information collection unit 265 collects weight change information transmitted from the weight detection device 210. The weight change information includes information indicating a change in pressure applied to the pressure sensor group 211a detected by the pressure sensor group 211a included in the desktop weight detection device 210a. More specifically, the weight change information includes information indicating a change in pressure applied to the plurality of pressure sensors 211 constituting the pressure sensor group 211a.

  The weight change information includes information indicating a change in pressure applied to the pressure sensor group 213a detected by the pressure sensor group 213a included in the seating surface weight detection device 210b. More specifically, the weighted change information includes information indicating changes in pressure applied to the plurality of pressure sensors 213 constituting the pressure sensor group 213a.

  The temperature distribution collection unit 270 collects temperature distribution information indicating the body temperature distribution of the operator measured by the measurement device 220.

  The transmission unit 275 transmits the input history information collected by the input history collection unit 260, the weight change information collected by the weight information collection unit 265, and the temperature distribution information collected by the temperature distribution collection unit 270 to the management server 300. . In the present embodiment, information collected by each collection unit may be transmitted to the management server 300 at predetermined time intervals.

  The receiving unit 280 receives information transmitted from the management server 300. Details of the information transmitted from the management server 300 will be described later.

  The display control unit 285 controls display on the display 22 based on the information received by the receiving unit 280.

  The weight detection device 210 includes a transmission unit 213 that transmits weight change information detected by the pressure sensor groups 211 a and 213 a to the collection device 200. The power supply of the weight detection device 210 may be supplied by, for example, a battery.

  The measurement device 220 includes a temperature distribution measurement unit 221 that measures the body temperature distribution of the operator, and a transmission unit 222 that transmits the temperature distribution information measured by the temperature distribution measurement unit 221 to the collection device 200. The measuring device 220 measures a temperature change of the human body as a change in the amount of infrared rays based on, for example, infrared rays emitted from the human body. Moreover, the power supply of the measuring apparatus 220 of this embodiment may be supplied by a battery or the like. In addition, the measurement apparatus 220 of the present embodiment may be connected to the collection apparatus 200 by an appropriate means, and power may be supplied from the collection apparatus 200.

  Next, functions of the management server 300 of this embodiment will be described with reference to FIG. FIG. 7 is a diagram for explaining functions of the management server 300.

  The management server 300 of this embodiment includes a database 310, a collected information acquisition unit 320, a collected information storage unit 325, an input status determination unit 330, a posture change determination unit 335, a body temperature determination unit 340, an exercise status determination unit 345, and a health condition analysis. Unit 350, health information storage unit 352, abnormality detection unit 353, transmission unit 355, and reception unit 360.

  The database 310 of this embodiment is provided in the auxiliary storage device 34 included in the management server 300, for example. The database 310 stores recommended information 313, health condition information 314, and collection information 315 recommended as information indicating the health condition.

  The recommended information 313 includes basic reference information 311 and pattern information 312 and is information used as a reference in the analysis for obtaining the health condition information 314. The health condition information 314 is information of a result analyzed by a process performed by a health condition analysis unit 350 described later. The collection information 315 is information acquired by the collection information acquisition unit 320. That is, the collected information 315 is information before analysis by the health condition analysis unit 350.

  Here, the recommended information 313 will be described with reference to FIG. FIG. 8 is a diagram for explaining the recommended information 313 stored in the database 310. FIG. 8A is a diagram illustrating the reference information 311 included in the recommended information 313, and FIG. 8B is a diagram illustrating the pattern information 314 included in the recommended information 313. Details of the health condition information 314 will be described later.

  In this embodiment, the reference information 311 and the pattern information 312 are information recommended by the Ministry of Health, Labor and Welfare based on medical information, and are registered in the database 310 in advance by a system administrator or the like.

  First, the reference information 311 will be described with reference to FIG. The reference information 311 of the present embodiment includes input status determination by the input status determination unit 330, determination of posture change by the posture change determination unit 335, determination of body temperature by the body temperature determination unit 340, and determination of exercise status by the exercise status determination unit 345. This is the standard information.

  For example, the reference information 311 includes rank A when the time during which input work is continuously performed in the input situation (hereinafter, continuous input time) is less than 2 hours, rank B when the continuous input time is less than 3 hours, and continuous. It includes information serving as a reference for ranking for each continuous input time, such as rank C when the input time is less than 4 hours and rank D when the continuous input time is 4 hours or more. In addition to the input status, the reference information 311 includes information serving as a reference for ranking posture determination, body temperature, number of steps, and movement distance.

  Next, the pattern information 312 of this embodiment will be described with reference to FIG. The pattern information 312 of this embodiment is a rank combination pattern divided based on the reference information 311 and is used when analyzing the health condition. Details of the analysis of the health condition will be described later.

  Returning to FIG. 7, the function of each unit will be described.

  The collection information acquisition unit 320 acquires input history information, weighted change information, and temperature distribution information transmitted from the collection device 200. The collected information accumulation unit 325 stores and accumulates the information acquired by the collected information acquisition unit 320 in the database 310 as the collection information 315.

  The input status determination unit 330 determines the status of the operator's input work based on the input history information acquired by the collected information acquisition unit 320. For example, the input status determination unit 330 determines that the status of the input work is “continuous” when either one of the keyboard 21a and the mouse 21b is continuously operated based on the input history information. The input status determination unit 330 also determines that the status of the input work is “continuous” even when the keyboard 21a and the mouse 21b are operated alternately and continuously. The continuous operation indicates, for example, a case where the next operation is performed within a predetermined period from the previous operation.

  This predetermined period is set in advance by a system administrator or the like. Specifically, for example, a case where the next operation is performed within 3 seconds from the previous operation can be set as a continuous operation. In the case of an operator who is unfamiliar with the input operation, a case where the next operation is performed within 10 seconds from the previous operation may be set as a continuous operation.

  Furthermore, the input status determination unit 330 determines that the intermittent operation is performed as “intermittent”. Specifically, for example, after a continuous operation for 10 minutes, the operation is not performed for 5 minutes, and then the continuous operation is performed again for 15 minutes. In the present embodiment, for example, a predetermined time for determining as intermittent may be set in advance, and when there is a time during which the operation is not performed for a predetermined time between consecutive operations, it may be determined as “intermittent”.

  In addition, the input status determination unit 330 according to the present embodiment determines “no input” when the keyboard 21a and the mouse 21b are not operated for a preset time.

  Further, the input status determination unit 330 according to the present embodiment ranks the input status based on the reference information 311 included in the recommended information 313 stored in the database 310. Specifically, for example, the input status determination unit 330 determines the rank A when the continuous input time is less than 2 hours. Further, when the continuous input time is less than 3 hours, it is determined as Rank B, when the continuous input time is less than 4 hours, it is determined as Rank C, and when the continuous input time is 4 hours or more, it is determined as Rank D.

  The posture change determination unit 335 determines whether the posture of the operator has changed based on the weighted change information acquired by the collection information acquisition unit 320. For example, the posture change determination unit 335 may determine that there is a change in posture when there is a predetermined amount of weighted change.

  In addition, the posture change determination unit 335 of the present embodiment ranks the posture change status (hereinafter, posture change status) based on the reference information 311. For example, the posture change determination unit 335 performs rank A when the time spent in the same posture is continuously less than 1 hour, rank B when the time spent in the same posture is continuously less than 2 hours, and time spent in the same posture continuously. If it is less than 3 hours, it is determined as line C, and if it is continuously 3 hours or more in the same posture, it is determined as rank D.

  The body temperature determination unit 340 determines the body temperature of the operator based on the temperature distribution information acquired by the collection information acquisition unit 320. For example, when the body temperature is high, it can be understood that the operator is actively active or sleepy. Further, for example, when the body temperature is a normal temperature, it can be seen that the operator is in a normal state.

  The body temperature determination unit 340 of the present embodiment ranks the body temperature of the operator based on the reference information 311. The body temperature determination unit 340 is, for example, rank A when the operator's body temperature is less than 36.5 degrees, rank B when the body temperature is less than 37.0 ° C, rank C when the body temperature is less than 37.5 ° C, and body temperature is 37. When it is 5 ° C. or higher, it is determined as rank D.

  The exercise status determination unit 345 determines the operator's exercise status based on the number of steps information received by the reception unit 360, information indicating the current position of the operator transmitted from the portable terminal 240 of the operator (hereinafter, position information), and the like. To do.

  The exercise status determination unit 345 of the present embodiment includes, for example, rank A when the number of steps indicated by the step information is 10,000 or more, rank B when the number of steps is 5000 or more, rank C when the number of steps is 1000 or more, and rank 1000 when the number of steps is 1000. If it is less than a step, it is determined as rank D.

  The movement status determination unit 345 according to the present embodiment has rank A when the movement distance is 3 km or more, rank B when the movement distance is 1.5 km or more, rank C when the movement distance is 1.0 km or more, and movement distance 1 If it is less than 0.0 km, it is determined as rank D.

  Each of the determination units (the input status determination unit 330, the posture change determination unit 335, the body temperature determination unit 340, and the exercise status determination unit 345), for example, collects information 315 accumulated in the database 310 every predetermined time set in advance. The determination may be made using. Each determination unit may store the determination result in the database 310.

  The health condition analysis unit 350 determines the health of the operator based on the determination results by the input state determination unit 330, the posture change determination unit 335, the body temperature determination unit 340, and the exercise state determination unit 345 and the pattern information 314 stored in the database 310. Analyze the condition. In this embodiment, the health condition analysis unit 350 may perform analysis each time a determination is made by each determination unit. In addition, the health condition analysis unit 350 may perform analysis every predetermined time set regardless of the determination timing by each determination unit.

  For example, as shown in pattern 1 of FIG. 8B, the health condition analysis unit 350, when all the determination results by the input state determination unit 330, the posture change determination unit 335, and the body temperature change determination unit 340 are rank A, The analysis result of the health condition is “good”. Further, for example, as shown in pattern 3 in FIG. 8B, the health condition analysis unit 350 determines that a break is necessary when the input status is determined to be rank C, and determines the health condition of the operator as “break required”. " 8B, when the determination result by the body temperature determination unit 340 is rank D, it is determined that the operator is generating heat for some reason, and the analysis result of the health condition of the operator is obtained. “Need to rest.”

  The health condition information storage unit 352 stores the result analyzed by the health condition analysis unit 350 in the database 310 as the health condition information 314. In the database 310, the health condition information 314 is stored for each operator. The health condition information 314 will be described below with reference to FIG. FIG. 9 is a diagram illustrating an example of the health condition information 314.

  FIG. 9 is an example of health status information 314 indicating the health status of the operator A during work. In the example of FIG. 9, the health state information 314 from 9:00 to 11:00 is analyzed as the pattern 1 by the health information analysis unit 350. Therefore, it can be seen that the health state of the operator A at this time is “good”.

  In the example of FIG. 9, it can be seen that the health condition information 314 of the operator A has shifted from pattern 1 to pattern 2. It can also be seen that the health state of the operator A has shifted from pattern 2 to pattern 1 at 12:00. Therefore, the health state of the operator A is known as “good”. Furthermore, it can be seen that the health state of the operator A shifts from the pattern 1 to the pattern 3 at 15:00, and the health state of the operator A shifts from “good” to “break required”. Further, it can be seen that the health state of the operator A shifts from the pattern 3 to the pattern 4 at 17:00, and the health state shifts from “rest required” to “rest required”.

  The abnormality detection unit 353 detects whether or not there is an abnormality in the health condition information 314 that is an analysis result by the health condition analysis unit 350. For example, the abnormality detection unit 353 of the present embodiment may detect an abnormality when the health state is “required break” or “rest required”. Moreover, the abnormality detection part 353 of this embodiment will transmit the notification of abnormality detection to the collection apparatus 200 by the transmission part 355, for example, if abnormality of health condition information is detected.

  Specifically, the abnormality detection unit 353 causes the transmission unit 355 to transmit a notification indicating “required break” to the collection device 200 when the health state becomes “required break”, for example. In addition, when the health state becomes “Necessary rest”, the abnormality detection unit 353 causes the transmission unit 355 to transmit a notification indicating “Necessary rest” to the collection device 200.

  In addition, the abnormality detection unit 353 of the present embodiment may be detected as an abnormality if, for example, one of the determination results by each determination unit is determined to be rank D. In addition, the abnormality detection unit 353 of the present embodiment may detect an abnormality as long as there are two or more ranks C determined in the determination results of each determination unit, for example. The standard for detecting an abnormality in the abnormality detection unit 353 of the present embodiment is preferably set in advance by a system administrator or the like.

  The transmission unit 355 transmits a notification of abnormality detection by the abnormality detection unit 353 to the collection device 200. Further, the transmission unit 355 of the present embodiment may transmit the analysis result by the health condition analysis unit 350 to the collection device 200. The transmission unit 355 of the present embodiment may transmit the analysis result to the collection device 200 every time the analysis by the health condition analysis unit 350 is performed, for example. In addition, the transmission unit 355 may transmit the analysis result every predetermined time set in advance regardless of the timing of analysis by the health condition analysis unit 350. The analysis result by the health condition analysis unit 350 is stored in the database 310 as, for example, health condition information 314.

  The receiving unit 360 receives information from the pedometer (registered trademark) 230 and the portable terminal 240. In this embodiment, information received by the receiving unit 360 is information included in the collected information 315. When receiving the step count information from the pedometer (registered trademark) 230 and the position information from the portable terminal 240, the receiving unit 360 stores the received information in the database 310 as the collection information 315.

  Next, the operation of the health condition management system 100 of this embodiment will be described with reference to FIG. FIG. 10 is a flowchart for explaining the operation of the health condition management system 100 of the first embodiment.

  In step S1001, when the collection start detection unit 250 of the collection apparatus 200 detects the start of collection, the process proceeds to step S1002, and the collection start control unit 255 causes the input history collection unit 260 to start acquiring input history information. In addition, the collection start control unit 255 causes the weighted information collection unit 265 to start collecting weight change information from the weight detection device 210. The collection start control unit 255 causes the temperature distribution collection unit 270 to start collecting temperature distribution information measured by the measurement device 220.

  Subsequent to step S1003 following step S1002, the transmission unit 275 transmits the collected input history information, weight change information, and temperature distribution information to the management server 300. Progressing to step S1004 following step S1003, the management server 300 acquires information (input history information, weighted change information, temperature distribution information) transmitted by the collection information acquisition unit 320.

  Progressing to step S1005 following step S1004, the collected information storage unit 325 stores the acquired information in the database 310 as the collected information 315. In the management server 300, the collected information storage unit 325 stores the step count information and the position information received by the receiving unit 360 in the database 310 as the collected information 315.

  Progressing to step S1006 following step S1005, each determination unit determines whether or not a predetermined time has elapsed since the previous determination. If the predetermined time has elapsed in step S1006, the process proceeds to step S1007, and each determination unit performs determination. Specifically, the input status determination unit 330 determines the input status and ranks the input status. The posture change determination unit 335 determines the posture change status and ranks the posture change status. The body temperature determination unit 340 ranks the body temperature from the temperature distribution information. The exercise status determination unit 345 determines the exercise status from the number of steps information and the position information, and ranks the exercise status.

  Progressing to step S1008 following step S1007, the health condition analysis unit 350 analyzes the health condition based on the determination result of each determination unit. Progressing to step S1009 following step S1008, the health condition information storage unit 352 stores the health condition information 314, which is an analysis result by the health condition analysis unit 350, in the database 310.

  Proceeding to step S1010 following step S1009, the abnormality detection unit 353 determines whether or not the health state information 314 is abnormal. If there is no abnormality in the health condition information 314 in step S1010, the health condition management system 100 ends the process. If an abnormality is detected in the health condition information 314 in step S1010, the process proceeds to step S1011.

  In step S <b> 1011, the abnormality detection unit 353 causes the transmission unit 355 to transmit a notification indicating that an abnormality has been detected to the collection device 200. At this time, the abnormality detection unit 353 transmits a notification of contents corresponding to the detected abnormality type.

  Progressing to step S1012 following step S1011, the collection apparatus 200 receives a notification transmitted from the management server 300 from the reception unit 280. Based on the content of the received notification, the display control unit 285 causes the display 22 to display a message or the like indicating an abnormal health condition of the operator.

  Specifically, for example, when the content of the notification is “Necessary break”, the display control unit 285 causes the display 22 to display a message prompting the operator who operates the collection device 200 to take a break. Alternatively, when the content of the notification is “Needs Rest”, the display control unit 285 causes the display 22 to display a message that prompts the operator who operates the collection device 200 to rest.

  As described above, according to the health state management system 100 of the present embodiment, it is possible to grasp changes in the health state of the operator during work and to promote improvement of the health state.

  In the above description of the present embodiment, when the abnormality detection unit 353 detects an abnormality, a notification indicating that an abnormality has been detected is transmitted to the collection apparatus 200, but the present invention is not limited to this. For example, in this embodiment, the abnormality detection unit 353 compares the health state information when the health state of the operator is “good” with the health state information immediately after analysis by the health state analysis unit 350, and there is a change. In this case, this change may be detected, and the transmission unit 355 may transmit a notification indicating a change in the health state to the collection device 200. In this case, in the collection device 200, the display control unit 285 causes the display 22 to display a message based on the content of the notification.

  Specifically, for example, when the abnormality detection unit 353 detects that the posture change is small compared to the case where the health state is “good”, the transmission unit 355 collects a notification indicating that the posture change is small. 200. In response to this notification, the collection device 200 causes the display 22 to display a message notifying the operator that the posture change is smaller than that in the normal state.

  In this way, the operator can be made to grasp the change in the health condition in more detail, and the improvement of the health condition of the operator can be promoted.

  In the present embodiment, the collection apparatus 200 has been described as displaying a message on the display 22 when a notification is received. However, the present invention is not limited to this. For example, the management server 300 may transmit a power-off instruction to the collection device 200 when the operation of the collection device 200 by the operator is continued for a predetermined time after detecting an abnormality in the health condition of the operator. Upon receiving this instruction, the collection device 200 may automatically perform processing necessary for power shutdown and shut off the power. Note that the processing necessary for power-off is, for example, data saving processing during work, termination processing of a running application, and the like.

  If it does in this way, it can prevent that an operator continues work in the state where abnormality was detected in the health state of an operator, and it can contribute to improvement of an operator's health state.

In the present embodiment, diagnosis result information of a health check for each operator may be stored in the database 310 of the management server 300, and the abnormality detection unit 353 may detect an abnormality in the health condition based on the diagnosis result information. . Specifically, for example, in the case of an operator having a high uric acid value in the diagnosis result information, the abnormality detection unit 353 of the management server 300 may transmit a notification prompting a break to the collection device 200 every predetermined time. In response to this notification, the collection device 200 causes the display control unit 285 to display a message prompting a break on the display 22. In response to this message, the operator can take actions to improve his / her health condition, such as standing in the bathroom regularly.
(Second embodiment)
A second embodiment of the present invention will be described below with reference to the drawings. The second embodiment of the present invention is different from the first embodiment in that it has a function of determining whether or not the amount of exercise of the operator is appropriate based on the calorie taken by the operator. Therefore, in the following description of the second embodiment, only differences from the first embodiment will be described, and those having the same functional configuration as the first embodiment will be used in the description of the first embodiment. The same reference numerals as those used are assigned, and the description thereof is omitted.

  FIG. 11 is a diagram illustrating a system configuration of a health condition management system 100A according to the second embodiment.

  In the health status management system 100A of this embodiment, a collection device 200, a management server 300A, and a menu management server 500 are connected via a network 400.

  In the present embodiment, the menu management server 500 manages a menu of meals (hereinafter, menu information) taken by an operator and calories (hereinafter, calorie information) corresponding to the menus. The management server 300A of this embodiment acquires calorie information from the menu management server 500, and determines the amount of exercise of the operator.

  FIG. 12 is a diagram for explaining a functional configuration of the menu management server 500.

  The menu management server 500 of this embodiment has the same hardware configuration as the management server 300A. That is, the menu management server 500 according to the present embodiment includes an arithmetic processing device and a memory device, and the arithmetic processing device reads and executes a program stored in the memory device, thereby realizing the following functions.

  The menu management server 500 according to the present embodiment is disposed in, for example, an employee cafeteria in a company. In addition, the menu management server 500 according to the present embodiment acquires user information from an IC card or the like in which user information such as ID and password for each employee is recorded, and associates the acquired user information with the ordered menu. It is preferable to be connected to a register (not shown) or the like that can be used.

  The menu management server 500 of this embodiment includes a database 510, a menu information acquisition unit 520, a table reference unit 530, and a storage control unit 540.

  The database 510 may be constructed in an auxiliary storage device (not shown) included in the menu management server 500, for example. The database 510 stores meal information 511 and a calorie table 512. The meal information 511 includes user information 513, menu information 514 corresponding to the user information 513, and calorie information 515 corresponding to the menu information 514. The calorie table 512 is a table in which menus are associated with calories in the menu.

  The menu information acquisition unit 520 acquires menu information associated with user information when an employee's IC card or the like is picked up in, for example, the register described above. Specifically, for example, when the operator A orders curry rice at the cafeteria, the menu information 514 is information in which the ID for identifying the operator A and the curry rice that is the menu information are associated with each other.

  The table reference unit 530 refers to the calorie table 512 based on the menu information 514 and acquires calorie information corresponding to the menu information 514. The calorie table 512 preferably associates all menus that can be ordered at the cafeteria with calories from all menus.

  The storage control unit 540 stores the information acquired by the menu information acquisition unit 520 and the table reference unit 530 in the database 510. Specifically, the storage control unit 540 associates the menu information acquired by the menu information acquisition unit 520, the user information, and the calorie information acquired by the table reference unit 530, and stores them in the database 510 as meal information 511. To do.

  FIG. 13 is a diagram illustrating the functional configuration of the management server 300A of the second embodiment. The management server 300A of this embodiment includes a calorie information acquisition unit 322 and a calorie intake determination unit 347 in addition to the units included in the management server 300 described in the first embodiment.

  The calorie information acquisition unit 322 accesses the menu management server 500 and acquires the calorie information of the corresponding operator from the database 510. The calorie intake determination unit 347 determines the degree of excess or deficiency of the operator's calorie intake based on reference information 311A described later.

  The corresponding operator is, for example, an operator logged in to the health information management system 100A. In the present embodiment, when the operator starts the operation of the collection apparatus 200, the login process may be performed by inputting an ID, a password, and the like from the collection apparatus 200. In this case, the calorie information acquisition unit 322 acquires calorie information corresponding to the user information of the logged-in operator.

  The reference information 311A included in the recommended information 313A stored in the database 310A of the present embodiment includes information used for determining the calorie intake by the intake calorie determination unit 347. This information is, for example, a reference value of calories to be consumed by one order, and is information for determining whether there is an excess or deficiency in intake calories and the degree of excess or deficiency. Further, the pattern information 312A included in the recommended information 313A of the present embodiment may include information indicating the degree of excess or deficiency in intake calories.

  FIG. 14 is a diagram illustrating the recommended information 313A of the second embodiment. FIG. 14A is a diagram illustrating the reference information 311A included in the recommended information 313A, and FIG. 14B is a diagram illustrating the pattern information 314A included in the recommended information 313A.

  As shown in FIG. 14A, the reference information 311A of the present embodiment includes a reference value for ranking the degree of excess or deficiency of calories. As shown in FIG. 14B, the pattern information 312A of the present embodiment includes information indicating the degree of excess or deficiency of calories.

  The health condition analysis unit 350A of the present embodiment determines the health status of the operator based on the ranking of the number of steps and the movement distance by the exercise status determination unit 345 and the ranking of excess / deficiency of intake calories by the intake calorie determination unit 347. To analyze. Specifically, for example, in the health information analysis unit 350A, the intake calorie determination unit 347 determines that the intake of excess calories is rank D, and the exercise status determination unit 345 determines that the rank D has less than 1000 steps and the movement distance is 1. When the rank D is less than 0 km, the health condition may be analyzed as “exercise required”.

  As described above, according to the present embodiment, it is possible to prompt the operator to exercise moderately based on the exercise status of the operator and the calorie intake. Therefore, according to the present embodiment, it is possible to cause the operator to grasp the health condition and to promote the improvement of the health condition.

  As mentioned above, although this invention has been demonstrated based on each embodiment, this invention is not limited to the requirements shown in the said embodiment. With respect to these points, the gist of the present invention can be changed without departing from the scope of the present invention, and can be appropriately determined according to the application form.

It is a figure explaining the system configuration of a first embodiment. 2 is a diagram illustrating an example of a hardware configuration of a collection device 200. FIG. 2 is a diagram illustrating an example of a hardware configuration of a management server 300. FIG. It is a figure explaining the collection apparatus. It is a figure explaining the weight detection apparatus 210. FIG. FIG. 4 is a diagram for explaining functions of a collection device 200, a weight detection device 210, and a measurement device 220. It is a figure explaining the function of the management server. It is a figure explaining the recommendation information 313 stored in the database 310. FIG. It is a figure which shows an example of the health condition information 314. It is a flowchart explaining operation | movement of the health condition management system 100 of 1st embodiment. It is a figure explaining the system configuration | structure of 100 A of health condition management systems of 2nd embodiment. It is a figure explaining the function structure of the menu management server. It is a figure explaining the functional structure of 300 A of management servers of 2nd embodiment. It is a figure explaining the recommendation information 313A of 2nd embodiment.

Explanation of symbols

100, 100A Health condition management system 200 Collection device 210 Weighted detection device 220 Measuring device 2.3 million pedometer (registered trademark)
240 Mobile terminal 300, 300A Management server 310, 310A, 510 Database 311, 311A Reference information 312, 312A Pattern information 313, 313A Recommended information 314 Health condition information 315 Collected information 400 Network

Claims (6)

It is connected to a collection device that collects biological signals of the human body during work, and is a health condition management device that manages the health status of the human body during work based on the biological signals collected by the collection device,
A database that contains patterns recommended as health information,
The input history information collected by the input device of the collection device, the weight change information detected by the weight detection device that communicates with the collection device, and the measurement device that communicates with the collection device. Collected information acquisition means for acquiring the temperature distribution information of the human body measured more,
Receiving means that is mounted on a human body and communicates with a detection device that detects information related to the exercise status of the human body to receive information related to the exercise status;
Analysis means for analyzing a health condition based on the recommended pattern stored in the database, the biological signal acquired by the collection information acquisition means, and the information on the exercise status received by the reception means And a health condition management device. Input status determining means for determining an input status by the input device from the input history information;
Posture change determination means for determining a change in posture of the human body from the weighted change information;
Temperature determining means for determining the body temperature of the human body from the temperature distribution information;
The health condition management device according to claim 1, further comprising exercise amount determination means for determining an exercise amount of a human body from information on the exercise status. The analysis means includes
The health condition is analyzed using the determination result by the input state determination unit, the determination result by the posture change determination unit, the determination result by the temperature determination unit, and the determination result by the exercise amount determination unit. Health condition management device described It is connected to a collection device that collects biological signals of the human body during work, has a database that stores patterns recommended as information indicating health status, and is working based on the biological signals collected by the collection device A health condition management method by a health condition management device for managing the health condition of a human body,
The input history information collected by the input device of the collection device, the weight change information detected by the weight detection device that communicates with the collection device, and the measurement device that communicates with the collection device. Collecting information acquisition procedure for acquiring the temperature distribution information of the human body measured more,
A receiving procedure that is mounted on a human body and that communicates with a detection device that detects information relating to the exercise status of the human body to receive information relating to the exercise status;
An analysis procedure for analyzing a health condition based on the recommended pattern stored in the database, the biological signal acquired by the collection information acquisition procedure, and the information on the exercise status received by the reception procedure And a health condition management method. It is connected to a collection device that collects biological signals of the human body during work, has a database that stores patterns recommended as information indicating health status, and is working based on the biological signals collected by the collection device A health condition management program executed in a health condition management device for managing the health condition of a human body,
In the health condition management device,
The input history information collected by the input device of the collection device, the weight change information detected by the weight detection device that communicates with the collection device, and the measurement device that communicates with the collection device. A collected information acquisition step for acquiring the temperature distribution information of the human body measured more,
A receiving step that is attached to a human body and that communicates with a detection device that detects information relating to the exercise status of the human body to receive information relating to the exercise status;
An analysis step for analyzing a health condition based on the recommended pattern stored in the database, the biological signal acquired by the collection information acquisition step, and the information on the exercise status received by the reception step. And a health management program that runs. Health condition management configured by connecting a collection device that collects biological signals of the human body during work and a health state management device that manages the health state of the human body during work based on the biological signals collected by the collection device A system,
The health condition management device includes:
A database that contains patterns recommended as health information,
The input history information collected by the input device of the collection device, the weight change information detected by the weight detection device that communicates with the collection device, and the measurement device that communicates with the collection device. Collected information acquisition means for acquiring the temperature distribution information of the human body measured more,
Receiving means that is mounted on a human body and communicates with a detection device that detects information related to the exercise status of the human body to receive information related to the exercise status;
Analysis means for analyzing a health condition based on the recommended pattern stored in the database, the biological signal acquired by the collection information acquisition means, and the information on the exercise status received by the reception means And having a health management system.

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