JP5101859B2 - Information processing system and information processing method - Google Patents

Description

  The present invention relates to a system for managing technostress when business is performed using an information processing apparatus such as a PC.

  2. Description of the Related Art In recent years, many people in businesses and the like have performed business using information processing apparatuses such as PCs (personal computers), and some of them face PCs for more than ten hours a day.

Such long-time work using an information processing device such as a PC gives great stress to employees (generally, this kind of stress is called techno-stress), and in some cases, the health of employees may be impaired. . For this reason, companies regularly conduct health examinations and strive to manage employee health.
JP 2003-85292 A

  However, in the case of regular medical examinations, it is possible to find changes in physical condition and take countermeasures, but it is not possible to prevent changes in physical condition in advance. On the other hand, it is desirable for companies to remove the technostress that causes changes in physical condition in advance and ensure the health of the employee before the physical condition of the employee changes.

  The present invention has been made in view of the above problems, and an object of the present invention is to provide a system capable of managing technostress when business is performed using an information processing apparatus.

In order to achieve the above object, an information processing system according to the present invention comprises the following arrangement. That is,
An information processing system in which a server device and a plurality of client devices are communicably connected,
Each of the client devices is
A measuring unit hands of the subject acquires the signal via the electrodes embedded in a position to be placed, respectively, to measure the biological information about the heart rate of the subject during key operation,
By providing two types of thresholds with different levels for the signal acquired by the measuring means, the myoelectric noise larger than the heartbeat is removed, the biological information related to the heartbeat is specified, and the biological body related to the specified heartbeat After extracting the beat interval based on the information, the extracted beat interval of the nth beat and the beat interval of the (n + 1) th beat are sequentially plotted as the vertical axis or the horizontal axis of the two-dimensional graph area. by calculating each coordinate data, analyzing means for analyzing the variation of each of the coordinate data calculated within a predetermined time,
Transmitting means for transmitting information indicating the variation for each predetermined time analyzed by the analyzing means to the server device together with identification information used for identifying the subject in the client device; Prepared,
The server device
Receiving means for receiving information indicating the variation at each predetermined time and the identification information from each client device;
When the variation for each predetermined time received by the receiving unit exceeds a predetermined upper and lower limit value, the subject is identified by the identification information received by the receiving unit together with the information indicating the variation. Sending means for sending a warning message to the client device,
Management means for managing the number of transmissions of the warning message transmitted by the transmission means in association with the identification information.

  ADVANTAGE OF THE INVENTION According to this invention, it becomes possible to manage the techno stress at the time of performing work using information processing apparatus.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings as necessary. In the systems described in the following embodiments, paying attention to the autonomic nervous function affected by technostress, measuring and analyzing biometric information related to the employee's autonomic nervous function, Manage and determine real-time technostresses on employees.

  Specifically, biological information related to heartbeat such as an electrocardiogram waveform and a pulse is measured as biological information related to the autonomic nervous function. The determination of technostress is performed using “heartbeat fluctuation” calculated by the geometric figure analysis method of time domain analysis based on the measured biological information on the heartbeat.

In addition, the information processing system demonstrated by each following embodiment demonstrates as a system which uses a Lorentz plot as a geometric figure analysis method of a time domain analysis. However, the time domain analysis of the information processing system according to the present invention is not limited to this. For example, as another heartbeat fluctuation index, a triangle index which is one of geometric figure analysis methods of time domain analysis, SDNN, SDANN, r-MSSD, RR50 (NN50), pNN50 (φ ₀ NN50), it may be used CVRR like.

[First Embodiment]
1. Overview of Lorentz Plot First, the Lorentz plot, which is one of the indexes representing heartbeat fluctuation, will be briefly described. The Lorentz plot is known as a method for evaluating the enhanced state of the sympathetic nerve and the parasympathetic nerve. In general, it is important that the sympathetic nerve and the parasympathetic nerve are balanced. If the balance between the sympathetic nerve and the parasympathetic nerve is disturbed, fluctuations in pulsation (heart rate) are affected.

  The Lorentz plot is obtained by visualizing fluctuations of the heartbeat based on biological signals such as an electrocardiogram waveform and a pulse.

  12 and 13 are diagrams showing a method of generating a Lorentz plot based on an electrocardiographic waveform. When an electrocardiogram waveform as indicated by 1201 in FIG. 12 is collected, the position of the R wave is first identified, and the RR interval is calculated. The R wave refers to the peak portion of the electrocardiogram waveform, and the RR interval refers to the heartbeat interval of the nth beat (n is an arbitrary integer) and the n + 1th beat of the R wave. In the example of FIG. 10, the R wave positions are identified as R1, R2, R3, and R4, respectively, and the RR intervals are calculated as T21, T32, and T43, respectively.

  Based on the calculated RR interval, T32 is plotted on the horizontal axis and T21 is plotted on the vertical axis in the two-dimensional graph region shown in FIG. Further, T43 is plotted on the horizontal axis and T32 is plotted on the vertical axis. A Lorentz plot is generated by sequentially performing such processing on successive RR intervals.

  For reference, FIG. 14 shows an example of the generated Lorentz plot. (A) generally shows a good balanced state, (b) and (c) show an unbalanced state ((b) shows stress / disease patterns, (c) shows Each showing an arrhythmia pattern).

2. Next, the system configuration of the information processing system will be described. FIG. 1 is a diagram illustrating a system configuration of an information processing system according to the present embodiment.

  In FIG. 1, reference numeral 101 denotes a management server, and reference numeral 102 denotes a PC (personal computer) used when each employee conducts business. The management server 101 and the PC 102 are communicably connected via the network 103, and the heart rate fluctuation calculated by the PC 102 is transmitted to the management server 101 via the network 103 and managed by the management server 101.

3. External Configuration Figure 2 PC102 is a diagram showing an external configuration of PC102 constituting the information processing system according to the present embodiment. A difference from a general PC is that electrodes for measuring biological information related to heartbeats are embedded at positions where both hands are placed when the keyboard is tapped.

  Reference numerals 201 and 202 denote electrode portions in which electrodes are embedded. When the employee taps the keyboard (when operating the operation unit 207), by placing the left hand and the right hand on the electrode units 301 and 302, respectively, the change in the resistance value of the human body from the left hand to the torso to the right hand Can be measured. As a result, the PC 102 can measure an electrocardiographic waveform, which is biological information related to the heartbeat of an employee (also referred to as a subject) who is working.

  A display unit 206 displays a heart rate detection mark that blinks in synchronization with the measured R wave of the electrocardiogram waveform and a heart rate per unit time (for example, 1 minute) (see 203 and 204). Depending on the calculated heartbeat fluctuation, a warning message is displayed under an instruction from the management server 101.

4). Functional Configuration of PC 102 FIG. 3 is a diagram showing a functional configuration of the PC 102 constituting the information processing system according to the present embodiment. In the figure, reference numeral 301 denotes a clock unit which oscillates a clock signal and supplies it to the CPU 302. Reference numeral 302 denotes a CPU which operates based on a clock signal oscillated from the clock unit 301. A RAM 303 functions as a work area for a program processed by the CPU 302, and also functions as a storage unit that temporarily stores data and the like during program processing. Reference numeral 304 denotes an HDD, which stores a program processed by the CPU 302.

  A display / operation unit 305 displays a processing result processed by the CPU 302 and accepts an instruction input from the subject (corresponding to the display unit 206 and the operation unit 207 in FIG. 2).

  Reference numeral 306 denotes an electrode that measures an electrocardiographic waveform of the subject and outputs an electrical signal (corresponding to the electrode portions 201 and 202 in FIG. 2). Reference numeral 307 denotes an amplifier that amplifies the electric signal output from the electrode 306 and converts it into a digital signal (hereinafter referred to as heartbeat measurement data).

  A NET I / F unit 308 transmits heart rate fluctuations obtained by processing heart rate measurement data to the management server 101.

  Functions 321 to 326 realized by the program stored in the HDD 304 are shown. Reference numeral 321 denotes a heartbeat detection processing unit which receives heartbeat measurement data output from the amplifier 307. Reference numeral 322 denotes a heartbeat interval detection processing unit, which identifies an R wave based on received heartbeat measurement data, calculates each RR interval, and displays Lorentz plot data (for displaying a Lorentz plot in a two-dimensional graph region). Coordinate data). Further, when the measurement is completed, the degree of fluctuation is calculated. The fluctuation degree means the size of the distribution area of the two-dimensional graph area (in the information processing system according to the present embodiment, the variation of Lorentz plot data).

  A display processing unit 323 provides a user interface via the display / operation unit 305. Specifically, during measurement, the heart rate detection mark displayed with characters, symbols, symbol marks, etc. is blinked in accordance with the timing of the R wave of the heart rate waveform, and the heart rate is further displayed. Further, based on an instruction from the management server 101, an alarm message indicating that technostress has accumulated is displayed on the subject. Thereby, the subject can recognize that his / her technostress is accumulated.

  A user input processing unit 324 receives an instruction input via the display / operation unit 305. A transmission processing unit 325 performs processing for transmitting the fluctuation degree calculated in the heartbeat interval detection processing unit 322 to the management server 101 via the NET I / F unit 308 together with the user ID of the employee. A reception processing unit 326 receives an instruction from the management server 101.

5. Functional Configuration of Management Server 101 FIG. 4 is a diagram showing a functional configuration of the management server 101 constituting the information processing system according to the first embodiment of the present invention. In the figure, reference numeral 401 denotes a clock unit which oscillates a clock signal and supplies it to the CPU 402. Reference numeral 402 denotes a CPU which operates based on a clock signal oscillated from the clock unit 401. A RAM 403 functions as a work area for a program processed by the CPU 402 and also functions as a storage unit that temporarily stores data and the like during program processing. Reference numeral 404 denotes an HDD, which stores a program processed by the CPU 402.

  Reference numeral 405 denotes a display / operation unit. When a processing result processed by the CPU 402 is displayed, reference numeral 406 denotes a NET I / F unit, which receives the degree of fluctuation obtained by processing the heartbeat measurement data from each PC 102. A data recording unit 407 records data received from each PC 102 and processed by the management server 101 in a database.

  Functions 421 and 423 realized by the program stored in the HDD 404 are shown. A reception processing unit 421 receives the fluctuation degree transmitted from each PC 102, classifies the user ID for each user ID, and generates a time change graph (described later). In addition, the maximum value, the minimum value, and the average value in the time change graph are calculated, and a statistical graph (described later) is created in association with the measurement date.

  Further, it is determined whether or not the degree of fluctuation exceeds a predetermined upper and lower limit value, and the presence or absence of technostress of the subject is determined.

  A management unit 422 records the time change graph and the statistical graph generated by the reception processing unit 421 in association with the user ID so as to be accessible in the database of the data recording unit 407.

  A transmission processing unit 423 transmits a warning message to the PC 102 corresponding to the user ID of the subject when the reception processing unit 421 determines that there is technostress of the subject.

6). Process flow in information processing system
6.1 Flow Figure 5 process in PC102 is a flowchart showing the flow of overall processing in the information processing system according to a first embodiment of the present invention. When the power of the PC 102 is turned on in step S501 and the subject logs in to the PC 102 using the user ID, in step S502, a measurement process is started and a timer for measuring a predetermined time is counted up.

  Further, in step S503, the heart rate detection mark on the display unit 206 blinks according to the R wave identified based on the heart rate measurement data captured by the heart rate detection processing unit 321, and per unit time (for example, 1 Show heart rate per minute.

  In step S504, Lorentz plot data is calculated based on the identified R wave. In step S505, it is determined whether Lorentz plot data is continuously calculated. As described above, in the case of the information processing system according to the present embodiment, the electrode parts 201 and 202 are attached to the PC 102, and an electrocardiographic waveform is simultaneously generated while the subject is operating the PC 102. It is configured to measure. For this reason, the measurement of the electrocardiographic waveform may be interrupted depending on the contact state between the palm of the subject and the electrode portions 201 and 202. As a result, Lorentz plot data is not continuously calculated, and there may be a gap in the middle. In such a case, since it is not appropriate to calculate the degree of fluctuation, it is determined that the Lorentz plot data is not continuously calculated.

  If it is determined in step S505 that the Lorentz plot data has been continuously calculated, the process proceeds to step S506, and the Lorentz plot data sufficient to calculate the fluctuation degree is calculated for a predetermined time after starting the measurement. It is determined whether or not a sufficient time for collection has elapsed. If it is determined that the predetermined time has not elapsed, the process returns to step S503 and the measurement is continued.

  On the other hand, if it is determined in step S505 that the Lorentz plot data has not been continuously calculated before the predetermined time has elapsed, the process proceeds to step S512, and the measurement is temporarily terminated and the timer count-up is started. After that, the Lorentz plot data calculated until it is determined that the Lorentz plot data is not continuously calculated is deleted. In step S513, the timer is reset.

  On the other hand, if it is determined in step S506 that the predetermined time has elapsed, the process proceeds to step S507, where the measurement is once terminated and the counter is reset. In step S508, the degree of fluctuation is calculated based on the Lorentz plot data acquired within a predetermined time (the Lorentz plot data is deleted when the calculation is completed).

  In step S509, it is determined whether or not it is connected to the management server 101. If it is determined that it is connected, the process proceeds to step S510, and the fluctuation degree is transmitted to the management server 101 together with the user ID.

  In step S511, it is determined whether or not the power is turned off. If the power is not turned off, the process returns to step S502 to start measurement processing again and count up a timer for measuring a predetermined time. To do. That is, the degree of fluctuation is repeatedly calculated until the power is turned off.

  On the other hand, if the power is turned off in step S511, the process is terminated.

6.2 Noise Removal in Measurement Processing of PC 102 Next, details of the processing in the measurement processing (step S502) will be described with reference to FIGS.

  In the case of the information processing system as described above, since the electrocardiogram waveform is measured while the subject is operating the PC 102, the movement of the subject's hand may appear as myoelectric noise. . Therefore, the PC 102 has a function of removing such myoelectric noise.

  FIG. 6 and FIG. 7 are diagrams (examples) that simply show the function of removing myoelectric noise contained in the heartbeat measurement data. FIG. 6 is a diagram showing the time change of the heartbeat measurement data, with time on the horizontal axis and heartbeat measurement data on the vertical axis.

  In FIG. 6, reference numerals 604, 605, 607, and 608 denote R waves of the electrocardiographic waveform. On the other hand, 606 indicates myoelectric noise. In FIG. 6, paying attention to the characteristic that the myoelectric noise 606 is larger than the R wave, the myoelectric noise 606 is removed by providing two types of threshold values 602 and 603 in the heart rate measurement data.

  That is, a portion of the heartbeat measurement data that is smaller than the threshold 602 and larger than the threshold 603 is identified as an R wave.

  On the other hand, in FIG. 7, although there is some variation in the interval of the R wave, focusing on the fact that there is a certain limit, the portion that is within the certain limit is the R wave, and exceeds the certain limit. This is a case in which a portion that is present is regarded as myoelectric noise and is removed.

  Specifically, when 704 is regarded as an R wave, the interval until the next R wave (RR interval) is assumed to be within the range of 703 variations from the time indicated by 702, and received during this time. The measured heartbeat data above the predetermined threshold is regarded as an R wave. By repeating this process, the R waves 707 and 708 can be detected and the myoelectric noise 706 can be removed.

Figure process flow of 6.3 management server 101 8 is a flowchart illustrating the flow of processing in the first exemplary management server 101 of the information processing system according to the embodiment of the present invention.

  When the reception process is started in step S801, the degree of fluctuation to which the user ID is added is received from the PC.

  In step S802, the user ID added to the received degree of fluctuation is extracted. Further, it is determined whether or not the degree of fluctuation of the extracted user ID is already recorded as a database in the data recording unit 407.

  If it is determined in step S802 that the degree of fluctuation of the extracted user ID is not recorded in the database of the data recording unit 407, the process proceeds to step S803, and the user ID is added to the database.

  In step S804, based on the received fluctuation degree, a fluctuation degree time change graph is created and recorded in the database in association with the user ID. The time change graph is a graph showing the time change of the degree of fluctuation with time.

  FIG. 10 is a diagram illustrating an example of a time change graph. The horizontal axis indicates the elapsed time from the start of the fluctuation degree reception process for the user ID “1001”. The vertical axis represents the degree of fluctuation. In this way, by plotting the received fluctuation degree (see 1002 in FIG. 10) in association with the elapsed time since the start of the fluctuation degree reception process, a time change graph of the fluctuation degree is generated. Can be displayed.

  Returning to FIG. In step S805, it is determined whether or not the communication connection with the PC 102 is continued. If it is determined that the communication connection is continued, the process returns to step S801, and fluctuation degree reception processing is performed. On the other hand, if it is determined that the communication connection has been disconnected, the process proceeds to step S806, and the maximum value (1001 in FIG. 10) and the minimum value (1003 in FIG. 10) An average value (1002 in FIG. 10) is calculated.

  In step S807, a statistical graph is created based on the maximum value, minimum value, and average value of the degree of fluctuation calculated in step S806, and recorded in the database in association with the user ID.

  FIG. 11 is a diagram illustrating an example of a statistical graph. The horizontal axis indicates the fluctuation degree acquisition date (year / month / day), the vertical axis indicates the fluctuation degree, the upper end of the graph indicates the maximum fluctuation degree for the day, and the lower end of the graph indicates the fluctuation degree for the day. The circles in the graph indicate the average value of the fluctuation degree of the day.

  FIG. 9 is a diagram illustrating an example of a database recorded in the data recording unit 407. In the figure, 901 is a data number, and 902 is a user ID. Reference numeral 903 denotes information relating to a storage location in which a time lapse graph corresponding to the user ID is stored. Reference numeral 904 denotes information relating to a storage location in which a statistical graph corresponding to the user ID is stored.

  As is clear from the above description, according to the present embodiment, in order to manage technostress in the case where business is performed using the information processing apparatus, the information processing apparatus is provided with an electrode, and heart rate measurement data during business Was measured and the degree of fluctuation was calculated. Further, the calculated degree of fluctuation is transmitted to the management server, and the management server collectively manages. As a result, the company can manage techno-stress during the work of employees in real time and collectively.

  The management server is configured to create a time lapse graph for each user and a daily statistical graph based on the received degree of fluctuation. Thereby, it becomes possible to grasp | ascertain the state of an employee's techno stress exactly.

[Second Embodiment]
In the first embodiment, the degree of fluctuation transmitted from the PC 102 is classified for each user ID and is used to generate a time change graph and a statistical graph for each user ID. Not limited. A condition of the subject may be determined based on the degree of fluctuation transmitted from the PC 102, and a warning message may be transmitted to the PC 102 as necessary. Specifically, when the degree of fluctuation exceeds a certain upper and lower limit value, it is determined that techno stress has accumulated, and a warning message is transmitted to the PC 102 logged in with the user ID corresponding to the degree of fluctuation. You may do it. An example of the warning message is shown in 205 of FIG. 2, but is not particularly limited thereto.

  The user ID of the subject who has transmitted the warning message may be listed and displayed on the management server 101. Thereby, by looking at the management server 101, it is possible to grasp employees who have accumulated techno stress. Furthermore, the number of times the warning message has been transmitted may be counted for each subject and displayed on the management server 101 as a graph. This makes it possible to grasp employees who are chronically accumulating techno stress.

It is a figure showing the system configuration of the information processing system concerning a 1st embodiment of the present invention. It is a figure which shows the external appearance structure of PC102 which comprises the information processing system concerning the 1st Embodiment of this invention. It is a figure which shows the function structure of PC102 which comprises an information processing system. It is a figure which shows the function structure of the management server 101 which comprises an information processing system. It is a figure which shows the flow of a process of PC102 which comprises an information processing system. It is the figure which showed directly the function which removes the myoelectric noise contained in heart rate measurement data. It is the figure which showed directly the function which removes the myoelectric noise contained in heart rate measurement data. It is a figure which shows the flow of a process of the management server 101 which comprises an information processing system. It is a figure which shows an example of the database recorded on the data recording part. It is a figure which shows an example of a time passage graph. It is a figure which shows an example of a statistical graph. It is the figure which showed the method of producing | generating a Lorentz plot based on an electrocardiogram waveform. It is the figure which showed the method of producing | generating a Lorentz plot based on an electrocardiogram waveform. It is a figure which shows an example of the produced | generated Lorentz plot.

Claims (5)

An information processing system in which a server device and a plurality of client devices are communicably connected,
Each of the client devices is
A measuring unit hands of the subject acquires the signal via the electrodes embedded in a position to be placed, respectively, to measure the biological information about the heart rate of the subject during key operation,
By providing two types of thresholds with different levels for the signal acquired by the measuring means, the myoelectric noise larger than the heartbeat is removed, the biological information related to the heartbeat is specified, and the biological body related to the specified heartbeat After extracting the beat interval based on the information, the extracted beat interval of the nth beat and the beat interval of the (n + 1) th beat are sequentially plotted as the vertical axis or the horizontal axis of the two-dimensional graph area. by calculating each coordinate data, analyzing means for analyzing the variation of each of the coordinate data calculated within a predetermined time,
Transmitting means for transmitting information indicating the variation for each predetermined time analyzed by the analyzing means to the server device together with identification information used for identifying the subject in the client device; Prepared,
The server device
Receiving means for receiving information indicating the variation at each predetermined time and the identification information from each client device;
When the variation for each predetermined time received by the receiving unit exceeds a predetermined upper and lower limit value, the subject is identified by the identification information received by the receiving unit together with the information indicating the variation. Sending means for sending a warning message to the client device,
An information processing system comprising: management means for managing the number of times the warning message transmitted by the transmission means is associated with the identification information. The management means includes
By plotting the variation for each predetermined time in association with the elapsed time since the reception means started reception, a time change graph of the variation is generated, and the database is associated with the identification information. The information processing system according to claim 1, wherein the information processing system is recorded on the information processing system. The management means includes
Using the time change graph generated in the management unit between the start of reception by the reception unit and the end of reception, at least one of the maximum value, minimum value, and average value of the variation is used. The information processing system according to claim 2, wherein one is calculated and recorded in the database in association with the identification information. The management means includes
The calculated maximum value, minimum value, and average value of the variation generate a statistical graph divided for each date on which the reception unit receives the variation, and record the statistical graph in the database in association with the identification information. The information processing system according to claim 3. An information processing method in an information processing system in which a server device and a plurality of client devices are communicably connected,
Each of the client devices is
In the key operation, a measuring step of both hands of the subject acquires the signal via the electrodes embedded in a position to be placed, respectively, to measure the biological information about the heart rate of the subject,
By providing two types of thresholds with different levels to the signal acquired by the measurement step, myoelectric noise larger than the heartbeat is removed, biological information related to the heartbeat is specified, and the biological body related to the specified heartbeat After extracting the beat interval based on the information, the extracted beat interval of the nth beat and the beat interval of the (n + 1) th beat are sequentially plotted as the vertical axis or the horizontal axis of the two-dimensional graph area. by calculating each coordinate data, the analysis step of analyzing the variation of each of the coordinate data calculated within a predetermined time,
A transmission step of transmitting information indicating the variation for each predetermined time analyzed in the analysis step to the server device together with identification information used for identifying the subject in the client device; Run,
The server device is
A receiving step of receiving information indicating variation at each predetermined time and the identification information from each client device;
When the variation for each predetermined time received by the reception step exceeds a predetermined upper and lower limit value, the subject is identified by the identification information received by the receiving means together with information indicating the variation. A sending step of sending a warning message to the client device,
And a management step of managing the number of times of transmission of the warning message transmitted in the transmission step in association with the identification information.

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