JP7318577B2 - Biological data measuring device and control program - Google Patents

Description

The present invention relates to a biological data measuring device and control program.

Techniques for determining the productivity or fatigue level of workers have been proposed. For example, Patent Literature 1 describes a productivity determination device that determines one or more workers who are working. The productivity determination device described in Patent Literature 1 detects the brain state, which is the state of blood in the brain of each worker, using one or more detectors attached to each worker. In addition, the productivity determination device measures, based on the brain state of the worker, the concentration level, which is the degree to which the worker is concentrating on work, and the emotional level, which is the degree to which the worker feels comfortable. , to determine worker productivity based on the measurement results. Further, Patent Literature 2 describes a system for determining the state of a subject (attention, vigilance, wakefulness, drowsiness, concentration level, sleep, etc.) using an EEG (electroencephalography) sensor or the like.

Patent Literature 3 describes a health management system for preventing accidents due to driver fatigue. The health management system described in Patent Document 3 includes a measurement unit that measures brain waves of a driver, and a calculation unit that calculates the degree of fatigue of the driver based on the brain waves.

Japanese Patent Application Laid-Open No. 2018-181245 (published on November 15, 2018) Special table 2018-505759 (published on March 1, 2018) Japanese Patent Application Laid-Open No. 2005-230030 (published on September 2, 2005)

Although the techniques described in Patent Literatures 1 and 2 can measure the concentration level of a worker, etc., when the concentration level of the worker is low, whether the factor is due to the health condition of the worker. could not be determined by the system. Further, although the technology described in Patent Document 3 also describes calculating the degree of fatigue of the driver based on brain waves, it is determined whether the degree of concentration of the worker is due to the health condition. I couldn't.

An object of some aspects of the present invention is to provide a technique capable of determining whether the degree of concentration of the worker is due to the health condition of the worker.

In order to solve the above problems, a biological data measuring device according to an aspect of the present invention includes a controller, wherein the controller includes a worker's electroencephalogram measured by an electroencephalogram sensor and an electroencephalogram measured by a cerebral blood flow sensor. and an output process for outputting a result of the identification by the identification process, wherein the state is determined based on the worker's cerebral blood flow. It is characterized by including a first state in which the worker cannot concentrate and a second state in which the worker is in poor physical condition.

According to the above configuration, the biological data measuring device measures the electroencephalogram and cerebral blood flow of the worker, and includes a first state in which the worker cannot concentrate on work and a second state in which the worker is in poor physical condition. Identify worker status. Thereby, a user such as a worker can grasp whether the degree of concentration of the worker is caused by the poor physical condition of the worker.

In the biological data measuring device according to aspect 2 of the present invention, in aspect 1, in the specifying process, the controller is configured such that the electroencephalogram measured by the electroencephalogram sensor is a slow wave and the cerebral blood flow sensor detects The operator may be identified as being in the second state when the blood flow rate and blood oxygen concentration identified from the values satisfy predetermined conditions.

According to the above configuration, the biological data measuring device is provided when the electroencephalograms measured by the electroencephalogram sensor are slow waves and the blood flow and blood oxygen concentration specified from the detection values of the cerebral blood flow sensor satisfy the conditions. , to identify the worker as unwell. Thereby, a user such as a worker can grasp whether the worker is in poor physical condition.

A biological data measuring device according to aspect 3 of the present invention is the aspect 1 or 2, wherein in the specifying process, the controller is configured such that the electroencephalogram measured by the electroencephalogram sensor is a slow wave and the cerebral blood flow sensor The operator may be identified as being in the first state when the blood flow rate and blood oxygen concentration identified from the detected values of do not satisfy predetermined conditions.

According to the above configuration, in the biological data measuring device, the electroencephalograms measured by the electroencephalogram sensor are slow waves, and the blood flow and blood oxygen concentration specified from the detection values of the cerebral blood flow sensor do not satisfy the conditions. In this case, identify that the worker is in a state of not being able to concentrate on the work. Thereby, a user such as a worker can grasp whether the worker cannot concentrate on the work.

In the biological data measuring device according to aspect 4 of the present invention, in aspect 1, in the specifying process, the controller changes the cerebral blood flow measured by the cerebral blood flow sensor and The operator may be identified as being in the second state when the blood flow rate and blood oxygen concentration identified from the detected values of (1) satisfy predetermined conditions.

According to the above configuration, the biological data measuring device changes the cerebral blood flow measured by the cerebral blood flow sensor, and predetermines the blood flow rate and blood oxygen concentration specified from the detection value of the cerebral blood flow sensor. If the condition is satisfied, the worker is identified as being in poor physical condition.
Thereby, a user such as a worker can grasp whether the worker is in poor physical condition.

In the biological data measuring device according to aspect 5 of the present invention, in aspect 1 or 4, the controller, in the specific processing, does not change the cerebral blood flow measured by the cerebral blood flow sensor and the electroencephalogram When the electroencephalogram measured by the sensor is a slow wave, it may be specified that the worker is in the first state.

According to the above configuration, the biological data measuring device can be used when the cerebral blood flow measured by the cerebral blood flow sensor does not change and the brain waves measured by the brain wave sensor are slow waves. Identify a state of inability to concentrate. Thereby, a user such as a worker can grasp whether the worker cannot concentrate on the work.

In the biological data measuring device according to aspect 6 of the present invention, in aspects 1 to 5, in the specific processing, the amplitude of the electroencephalogram measured by the electroencephalogram sensor is less than or equal to a predetermined threshold, and , when the state of fast waves continues for a predetermined time or longer, the worker may specify that the worker needs to take a break.

According to the above configuration, in the biological data measuring device, when the amplitude of the electroencephalogram measured by the electroencephalogram sensor is equal to or less than the threshold and the state of fast waves continues for a predetermined time or longer, the worker Identify a condition that requires a break. Thereby, a user such as a worker can grasp whether the worker needs to take a rest.

A biological data measuring device according to aspect 7 of the present invention is, in aspects 1 to 6, wherein the controller includes at least one processor that executes each of the processes according to a predetermined program, and at least one processor that stores the program. and a memory.

According to the above configuration, the biological data measuring device measures the electroencephalogram and cerebral blood flow of the worker, and includes a first state in which the worker cannot concentrate on work and a second state in which the worker is in poor physical condition. Identify worker status. Thereby, a user such as a worker can grasp whether the degree of concentration of the worker is caused by the poor physical condition of the worker.

A control program according to claim 8 of the present invention is a control program for controlling the biological data measuring device according to aspects 1 to 7, and causes the controller to execute each of the processes.

The scope of the present invention also includes a control program according to aspect 8 and a computer-readable recording medium recording it.

According to one aspect of the present invention, a user such as a worker can grasp whether the degree of concentration of the worker is caused by the health condition of the worker.

1 is a diagram illustrating the configuration of a biological data measurement system according to Embodiment 1 of the present invention; FIG. It is a figure which illustrates the external appearance of the mounting device which concerns on Embodiment 1 of this invention. It is a figure which illustrates the arrangement|positioning aspect of an electroencephalogram sensor and a cerebral blood flow sensor. It is a figure which illustrates the arrangement|positioning aspect of an electroencephalogram sensor and a cerebral blood flow sensor. 4 is a flowchart illustrating the flow of processing performed by the management device according to the first embodiment of the present invention; It is a flowchart which illustrates the flow of the identification process of a worker's state which the management apparatus which concerns on Embodiment 1 of this invention performs. FIG. 10 is a flow chart illustrating the flow of worker status identification processing performed by the management device according to the second embodiment of the present invention. FIG. It is the figure which illustrated the screen displayed on the display part.

[Embodiment 1]
An embodiment of the present invention will be described in detail below.

(composition)
FIG. 1 is a diagram illustrating the configuration of a biological data measurement system 1 according to this embodiment. The biometric data measurement system 1 is a system that collects biometric data of a worker, determines the state of the worker, and notifies the worker. The worker's biometric data includes, for example, electroencephalograms and cerebral blood flow. In this embodiment, the biological data measurement system 1 attaches a sensor for measuring electroencephalograms and a sensor for measuring cerebral blood flow to the head of the worker, and determines the state of concentration and physical condition of the worker.

The biological data measurement system 1 includes a wearable device 10 and a management device 20 (an example of a "biological data measurement device" in the claims). The wearing device 10 and the management device 20 are connected via a network N1. The network N1 may be, for example, a wired LAN (Local Area Network), a wireless LAN, the Internet, or a combination thereof. In FIG. 1, one mounting device 10 and one management device 20 are illustrated in order to prevent the drawing from becoming complicated. may be included in system 1;

The wearable device 10 is a device for measuring brain waves and cerebral blood flow of a worker. The wearing device 10 is used by being worn on the head of an operator. The management device 20 has a function of identifying the state of the worker wearing the wearing device 10 . The management device 20 is, for example, a device such as a server or a PC (Personal Computer). The management device 20 collects the biometric data of the worker and outputs the state of the worker.

The wearable device 10 includes an electroencephalogram sensor 110 , a cerebral blood flow sensor 120 , a power supply 130 , a communication section 140 , a notification section 150 , a body section 160 and a headband section 170 . The electroencephalogram sensor 110 is a sensor that measures the electroencephalogram of the worker. The cerebral blood flow sensor 120 is a sensor that measures the cerebral blood flow of the worker. In this embodiment, the cerebral blood flow sensor 120 measures blood flow and blood oxygen concentration. The cerebral blood flow sensor 120 is, for example, a near-infrared sensor, an ultrasonic sensor, or a Doppler sensor. When the cerebral blood flow sensor 120 is a near-infrared sensor, the near-infrared sensor emits near-infrared rays, detects reflected waves of the near-infrared rays, and outputs a signal indicating the detection result.

The power supply 130 supplies power to each part of the mounting device 10 . The communication unit 140 communicates with other devices according to a predetermined wireless or wired communication standard. The communication unit 140 performs, for example, short-range wireless communication (Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.) with the management device 20 . The notification unit 150 performs various notifications by, for example, lighting an LED or outputting sound. The body part 160 is a member that covers the head of the operator when the wearing device 10 is worn on the head of the operator. The headband part 170 is a member that is wrapped around the head of the operator.

The management device 20 includes a communication section 210 , a power supply 220 , a controller 230 , a notification section 240 and a display section 250 . The communication unit 210 communicates with another device according to a predetermined wireless or wired communication standard. For example, the communication unit 210 performs short-range wireless communication (Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.) with the wearable device 10 . The power supply 220 supplies power to each part of the management device 20 .

Controller 230 includes at least one processor 231 that executes each process according to a predetermined program, and at least one memory 232 that stores the program. The processor 231 is a processor that controls the management device 20, such as a microprocessor, a digital signal processor, a microcontroller, or a combination thereof. The memory 232 is, for example, a semiconductor RAM (random access memory), flash memory, HDD (Hard Disk Drive), SSD (Solid State Drive), or a combination thereof. The memory 232 stores a control program for causing the processor 231 to operate the management device 20 . The processor 231 expands the control program stored in the memory 232 on the memory 232 and executes each instruction included in the expanded control program.

The identification unit 311 and the output unit 312 of FIG. 1 are executed by the processor 231 executing the control program. The identification unit 311 identifies the worker's condition based on the worker's electroencephalogram measured by the electroencephalogram sensor 110 and the worker's cerebral blood flow measured by the cerebral blood flow sensor 120 . The state of the worker includes a first state in which the worker cannot concentrate on work and a second state in which the worker is in poor physical condition. The output unit 312 outputs the identification result identified by the identification unit 311 .

The notification unit 240 performs various notifications by, for example, lighting an LED or outputting sound. The display unit 250 is, for example, a liquid crystal display. The display unit 250 displays a screen according to data supplied from the controller 230 . Particularly in this embodiment, the display unit 250 displays the worker's status according to data supplied from the controller 230 . Note that the display unit 250 may not be built in the management device 20 but may be externally attached.

FIG. 2 is a diagram illustrating the appearance of the wearing device 10. As shown in FIG. The wearing device 10 is worn on the head of the operator. 2, a plurality of electroencephalogram sensors 110a, 110b, . . . and a plurality of cerebral blood flow sensors 120a, 120b, . In this embodiment, the sensing units of the electroencephalogram sensor 110 and the cerebral blood flow sensor 120 are arranged so as to cover the head of the worker and worn by the worker. The layout of the electroencephalogram sensor 110 and the cerebral blood flow sensor 120 is not limited to that illustrated in FIG. 2, and various layouts can be applied.

FIG. 3 is a diagram illustrating an arrangement mode of the electroencephalogram sensor 110 and the cerebral blood flow sensor 120. As shown in FIG. In the example of FIG. 3, a plurality of electroencephalogram sensors 110a, 110b, . In this example, the electroencephalogram sensors 110a, 110b, . . . are mounted in an arrangement based on the International 10-20 method. Also, the cerebral blood flow sensor 120 is provided on the headband section 170 . That is, in the example of FIG. 3, the cerebral blood flow sensor 120 is attached to the operator's head with a member such as a headband.

FIG. 4 is a diagram showing another example of the arrangement of the electroencephalogram sensor 110 and the cerebral blood flow sensor 120. As shown in FIG. In the example of FIG. 4, a plurality of electroencephalogram sensors 110a, 110b, . More specifically, in the example of FIG. 4, a plurality of electroencephalogram sensors 110a, 110b, . , and a plurality of electroencephalogram sensors 110k, 110l, . . .

The manner in which the electroencephalogram sensor 110 and the cerebral blood flow sensor 120 are arranged is not limited to that described above. Each sensor may be configured to be arranged, for example, only on the forehead instead of on the entire head of the operator. In this case, for example, the cerebral blood flow sensor 120 may be embedded only in the portion of the headband section 170 that contacts the forehead of the operator. In this case, the electroencephalogram sensor 110 may be arranged in the arrangement mode shown in FIG.

The detection value of the electroencephalogram sensor 110 and the detection value of the cerebral blood flow sensor 120 are transmitted to the management device 20 by the communication unit 140 . The management device 20 accumulates the detection values of the electroencephalogram sensor 110 and the detection values of the cerebral blood flow sensor 120 in the memory 232 . The controller 230 refers to the detection values accumulated in the memory 232 and executes worker state identification processing, which will be described later.

(motion)
FIG. 5 is a flowchart illustrating the overall flow of worker state identification processing performed by the controller 230 of the management device 20 . In step S10, the controller 230 identifies the state of the worker based on the brain waves measured by the electroencephalogram sensor 110 and the cerebral blood flow measured by the cerebral blood flow sensor 120, and outputs the identified result identified in step S11. Executes the output processing to be performed.

(Operation example)
FIG. 6 is a flowchart showing a specific example of worker state identification processing performed by the controller 230 of the management device 20 . Note that some steps may be performed in parallel or out of order.

In this operation example, the controller 230 classifies the worker's condition into "requires rest", "poor physical condition", "distracted", and "no problem". Of these, "no problem" and "requiring rest" are states in which the worker is concentrating on the work, and "poor physical condition" and "distraction" are states in which the worker is not concentrating on the work. . "No problem" means that the worker is concentrating on the work and there is no problem. "Break required" is a state in which the worker is concentrating on the work, but the state of concentration has continued for a long time, and a break is required. “Poor physical condition” (second state) is a state in which the worker is not concentrating on the work and is in poor physical condition. "Poor physical condition" includes, for example, anemia and heat stroke. "Distraction" (first state) is a state in which the worker is not concentrating on the work and is not in poor physical condition.

In step S100, the controller 230 determines whether the worker to be identified is in a state of concentrating on work (hereinafter referred to as a "concentration state") based on the detection value of the electroencephalogram sensor 110. FIG. The controller 230 may determine whether the brain waves measured by the brain wave sensor 110 are slow waves. For example, when the measured brain waves are slow waves, the controller 230 determines that the person cannot concentrate on work. A slow wave is an electroencephalogram with a frequency of 8 Hz or less, and is also called a θ wave or a δ wave. A slow wave is an electroencephalogram seen, for example, in a state of sleep or in a state of disturbed consciousness. In addition, slow waves are electroencephalograms that are also seen in hypoglycemia, hypoxia, and hyperventilation.

If it is determined that the user is concentrating on the work (step S100; YES), the controller 230 proceeds to the process of step S104. On the other hand, when it is determined that the user is not concentrating on the work (step S100; NO), the controller 230 proceeds to the process of step S101.

In step S<b>101 , the controller 230 determines whether the cerebral blood flow of the operator is abnormal based on the detection value of the cerebral blood flow sensor 120 . In this operation example, the controller 230 determines whether the blood flow rate and the blood oxygen concentration specified from the detection values of the cerebral blood flow sensor 120 satisfy predetermined conditions, so that the cerebral blood flow is abnormal. Determine if there is For example, the controller 230 determines that there is an abnormality when the blood flow rate is 650 mL/min or less and the blood oxygen concentration is 95% or less for about one minute. Note that the determination method is not limited to this, and other methods may be used. For example, the controller 230 may measure the hemoglobin value from the detection value of the infrared sensor, and identify the anemic state (abnormal) if the hemoglobin value is 10 g/dL or less.

When it is determined in step S101 that the cerebral blood flow is abnormal (step S101; YES), the controller 230 proceeds to the process of step S102. On the other hand, when it is determined that the cerebral blood flow is not abnormal (step S101; NO), the controller 230 proceeds to the process of step S103.

In step S102, the controller 230 specifies that the worker's condition is "bad physical condition" and notifies the operator accordingly. That is, in this operation example, the controller 230 controls, for example, that the electroencephalograms measured by the electroencephalogram sensor 110 are slow waves (step S100; NO), and that the blood flow and blood flow specified from the detection values of the cerebral blood flow sensor 120 If the intermediate oxygen concentration satisfies a predetermined condition (step S101; YES), the worker's condition is specified as "poor physical condition".

The controller 230 notifies the worker or other user that the worker's condition is "poor physical condition". For example, the controller 230 notifies the worker of the worker's condition by causing the display unit 250 to display a message indicating that the worker is in poor physical condition, or by outputting a warning sound through the notification unit 240 . Moreover, when feedback is given to the worker himself/herself, the controller 230 may perform a process of transmitting the fact that the operator is in poor physical condition to the notification section 150 of the wearable device 10 of the operator through the network N1. If the notification unit 150 is a speaker, the worker can confirm that he/she is in poor physical condition by the sound from the speaker.

In step S103, the controller 230 identifies the worker's condition as "distracted" and notifies him/her that he/she is unable to concentrate on the task. That is, if the person cannot concentrate on the task and the cerebral blood flow is not abnormal, it is determined that the person is healthy but cannot concentrate on the task. That is, in this operation example, the controller 230 controls, for example, that the electroencephalograms measured by the electroencephalogram sensor 110 are slow waves (step S100; NO), and that the blood flow and blood flow specified from the detection values of the cerebral blood flow sensor 120 If the medium oxygen concentration does not satisfy the above conditions (step S101; NO), the worker's state is identified as "distracted".

The controller 230 notifies the worker or other user that the worker's status is "distracted." For example, the controller 230 notifies the worker of the worker's condition by causing the display unit 250 to display a message indicating that the worker cannot concentrate on the work, or by outputting a warning sound through the notification unit 240 .

In step S104, the controller 230 determines whether the worker's concentration state has continued for a long time. In this operation example, the controller 230 determines whether or not the amplitude of the electroencephalogram measured by the electroencephalogram sensor 110 is equal to or less than a predetermined threshold and the fast wave state continues for a predetermined time or longer. . Fast waves are waves with a higher frequency than alpha waves. For example, the controller 230 determines that the state of concentration is long if the electroencephalogram is a low-amplitude, irregular fast wave (13 Hz or higher) that continues for a predetermined period of time or longer.

If it is determined that the state of concentration is for a long time (step S104; YES), the controller 230 proceeds to the process of step S105. On the other hand, if it is determined that the state of concentration is not for a long time (step S104; NO), the controller 230 proceeds to the process of step S106.

In step S105, the controller 230 specifies that the worker's condition is "requiring a break" and notifies the worker to take a break. That is, in this operation example, the controller 230 detects that the amplitude of the electroencephalogram measured by the electroencephalogram sensor 110 is equal to or less than a predetermined threshold and that the fast wave state continues for a predetermined time or longer. , specifies that the worker's state is "requiring a break".

For example, the controller 230 displays a message indicating that the worker is in poor physical condition on the display unit 250, or outputs a warning sound from the notification unit 240, thereby notifying that the worker "requires a break."

If it is determined in step S104 that the state of concentration is not for a long time (step S104; NO), the controller 230 specifies that the worker's state is "no problem". In this case, no notice is given to the operator or the like.

In step S106, the controller 230 accumulates data indicating the determined state of the worker in the memory 232. FIG. That is, each time the worker's state is determined, data indicating the worker's state is accumulated in the memory 232 .

In step S<b>107 , the controller 230 determines whether the worker has removed the mounting device 10 . For example, the controller 230 determines that the worker has removed the mounting device 10 when the detection value of the sensor of the mounting device 10 does not satisfy a predetermined condition (when an abnormal value continues, etc.). If it is determined that the worker has removed the mounting device 10 (step S107; YES), the controller 230 ends the process. On the other hand, if the operator has not removed the mounting device 10 (step S107; NO), the controller 230 returns to the process of step S100 and executes the operator's condition determination process again. By repeatedly executing the processes of steps S100 to S107, the state of the worker is monitored and the history of the state of the worker is accumulated as data.

By the way, there is a correlation between cerebral nerve activity and cerebral blood flow, and the cause of abnormalities in electroencephalograms can be confirmed from the state of blood flow. Conversely, it is also possible to confirm from electroencephalogram data whether changes in blood flow are due to psychogenic factors or the like. For example, the degree of concentration on work can be determined from the state of neural activity in the brain, and the state of health of the worker can be determined from the state of cerebral blood flow, so it can be determined whether the degree of concentration on work is due to health.

As described above, in this embodiment, the controller 230 identifies the state of the worker based on the detected values of the electroencephalogram sensor 110 and the cerebral blood flow sensor 120, and outputs the identification result (steps S102, S103, S105). In particular, when the electroencephalogram data accumulated in the memory 232 indicates an abnormal waveform, or when the cerebral blood flow data indicates an abnormal value, the controller 230 determines that the management device 20 indicates "poor physical condition" as the cause of the abnormality. , “distracted”, “need a break”, etc. The management device 20 notifies a user such as a worker or a manager of the result of identification by outputting the result of identification of the state of the worker. By notifying the worker of the condition, it is possible to prevent occupational accidents due to, for example, work errors due to lack of concentration and heatstroke.

In addition, in this embodiment, by feeding back the condition of the worker to the operator himself/herself, the operator can grasp his/her own condition (poor physical condition, etc.) determined objectively. The worker himself/herself can grasp the state of physical or mental fatigue from brain data, and be aware of being in a distracted state. As a result, for example, accidents due to work mistakes or carelessness can be prevented.

[Modification]
In the first embodiment described above, the management device 20 may execute processing for visualizing the degree of work load from data stored in the memory 232 . For example, the controller 230 may tally the worker's status for each process and display the tally result on the display unit 250 .

FIG. 8 is a diagram exemplifying a screen displayed on the display unit 250. As shown in FIG. In the example of FIG. 8, for each of a plurality of processes of "process A", "process B", and "process C", the aggregated results of the states of workers aggregated by the controller 230 are displayed.

In this example, it is possible to visualize the magnitude of the mental and physical load on the worker using objective data. By viewing the visualized data, a user such as a work manager can optimize the staffing and encourage improvement of the work environment.

In the first embodiment described above, the controller 230 specified "no problem", "requiring rest", "poor physical condition", and "distracted" as the states of the worker. The state of the worker identified by the controller 230 is not limited to those shown in the above-described embodiments. For example, the controller 230 may determine that the brain waves measured by the brain wave sensor 110 are in good physical and mental condition when the brain waves are 8 Hz or higher and have regular high amplitude.

In the first embodiment described above, the case where the worker wears the wearing device 10 including the electroencephalogram sensor 110 and the cerebral blood flow sensor 120 has been described. The method of attaching the electroencephalogram sensor 110 and the cerebral blood flow sensor 120 is not limited to that shown in the above-described embodiment. For example, the electroencephalogram sensor 110 and the cerebral blood flow sensor 120 may be individually attached to the operator's head. In this case, the electroencephalogram sensor 110 and the cerebral blood flow sensor 120 are desirably portable so as not to impose a burden on the operator.

There are individual differences in the slow waves, fast waves, amplitudes, and regularity of electroencephalograms, and the judgment criteria for concentration, tension, etc. Therefore, the controller 230 may vary the determination criteria in the state determination process (steps S100, S101, S104 in FIG. 6, steps S200, 201, 203 in FIG. 7, etc.) for each worker. For example, in step S100, the controller 230 may vary the threshold (frequency) for determining whether the electroencephalogram is a slow wave for each worker. In this case, the threshold is determined based on biometric data for each worker stored in the memory 232, for example.

[Embodiment 2]
Other embodiments of the invention are described below. For convenience of explanation, members having the same functions as the members explained in the first embodiment are denoted by the same reference numerals, and the explanation thereof will not be repeated.

The second embodiment differs from the first embodiment in the details of the worker state identification process performed by the controller 230 . In the second embodiment, the controller 230 changes the cerebral blood flow measured by the cerebral blood flow sensor 120, and the blood flow and blood oxygen concentration specified from the detection values of the cerebral blood flow sensor 120 are determined in advance. If the condition is satisfied, the state of the worker is identified as "poor physical condition".

FIG. 7 is a flowchart illustrating the flow of processing performed by the controller 230 of the management device 20. As illustrated in FIG. Note that some steps may be performed in parallel or out of order. In step S<b>200 , controller 230 determines whether the cerebral blood flow of the operator has changed based on the detection value of cerebral blood flow sensor 120 . For example, if the amount of change per unit time in blood flow and/or the amount of change per unit time in blood oxygen concentration specified from the detection value of cerebral blood flow sensor 120 is larger than a predetermined threshold value, controller 230 , determine that the cerebral blood flow has changed. If the cerebral blood flow has changed (step S200; YES), the controller 230 proceeds to the process of step S201. On the other hand, if the cerebral blood flow has not changed (step S200; NO), the controller 230 proceeds to the process of step S203.

In step S<b>201 , controller 230 determines whether the cerebral blood flow is abnormal based on the detection value of cerebral blood flow sensor 120 . In this operation example, the controller 230 determines that the blood flow is abnormal when the blood flow rate and blood oxygen concentration specified from the detection value of the cerebral blood flow sensor 120 satisfy predetermined conditions. The determination process of step S201 is the same as the determination process of step S101 in FIG. 6 described above. The controller 230 determines that the blood flow is normal when the blood flow rate and blood oxygen concentration specified from the detection values of the cerebral blood flow sensor 120 do not satisfy the above conditions. If the cerebral blood flow is abnormal (step S201; YES), the controller 230 proceeds to the process of step S202. On the other hand, if the cerebral blood flow is normal (step S201; NO), the controller 230 proceeds to the process of step S206.

In step S202, the controller 230 specifies that the worker's condition is "bad physical condition" and notifies the worker or other users to that effect. That is, in this operation example, the controller 230, for example, does not change the cerebral blood flow measured by the cerebral blood flow sensor 120 (step S200; YES), and is specified from the detection value of the cerebral blood flow sensor 120. If the blood flow rate and the oxygen concentration in the blood satisfy predetermined conditions (step S201; YES), the worker's condition is specified as "poor physical condition". For example, the controller 230 notifies the worker of the worker's condition by causing the display unit 250 to display a message indicating that the worker is in poor physical condition, or by outputting a warning sound through the notification unit 240 .

On the other hand, if it is determined in step S201 that the cerebral blood flow is normal (step S201; NO), the controller 230 specifies that the worker's condition is "no problem." In this case, no notice is given to the operator or the like.

In step S<b>203 , controller 230 determines whether the worker is concentrating on work based on the detection value of electroencephalogram sensor 110 . This determination process is the same as the process of step S100 in FIG. If it is determined that the user is not concentrating on the work (step S203; NO), the controller 230 proceeds to the process of step S204. On the other hand, when it is determined that the user is concentrating on the work (step S203; YES), the controller 230 proceeds to the process of step S205.

In step S204, the controller 230 identifies the worker's condition as "distracted" and so notifies the worker or other user. That is, the controller 230, for example, when the brain blood flow measured by the brain blood flow sensor 120 does not change (step S200; NO) and the brain waves measured by the brain wave sensor 110 are slow waves (step S203; NO), to identify the worker's condition as "distracted". For example, the controller 230 causes the display unit 250 to display a message indicating that the user is unable to concentrate, or causes the notification unit 240 to output a warning sound.

In step S205, the controller 230 determines whether the worker's concentration state has continued for a long time. This determination process is the same as the process of step S104 in FIG. When it is determined that the state of concentration is for a long time (step S205; YES), the controller 230 proceeds to the process of step S208. On the other hand, if it is determined that the concentration state is not for a long time (step S205; NO), the controller 230 proceeds to the process of step S206.

In step S208, the controller 230 specifies that the worker's condition is "requiring a break" and notifies the worker to take a break. That is, the controller 230 determines that the cerebral blood flow measured by the cerebral blood flow sensor 120 does not change (step S200; NO) and the brain waves measured by the brain wave sensor 110 are not slow waves (step S203; YES). , specifies that the worker's state is "requiring a break". For example, the controller 230 displays a message indicating that the worker is in poor physical condition on the display unit 250, or outputs a warning sound from the notification unit 240, thereby notifying that the worker "requires a break." .

In step S206, the controller 230 accumulates data indicating the determined state of the worker in the memory 232. FIG. That is, each time the worker's state is determined, data indicating the worker's state is accumulated in the memory 232 .

In step S<b>207 , the controller 230 determines whether the worker has removed the mounting device 10 . This determination process is the same as the process of step S107 in FIG. When determining that the operator has removed the mounting device 10 (step S207; YES), the controller 230 ends the process. On the other hand, if the operator has not removed the mounting device (step S207; NO), the controller 230 returns to the process of step S200 and executes the operator's condition determination process again. By repeatedly executing the processing of steps S200 to S207, the worker's state is monitored and the history of the worker's state is accumulated as data.

[Example of realization by software]
The control blocks of the management device 20 (especially the identification unit 311 and the output unit 312) may be realized by a logic circuit (hardware) formed in an integrated circuit (IC chip) or the like, or may be realized by software. good.

In the latter case, the management device 20 is provided with a computer that executes program instructions, which are software that implements each function. This computer includes, for example, one or more processors, and a computer-readable recording medium storing the program. In the computer, the processor reads the program from the recording medium and executes it, thereby achieving the object of the present invention. As the processor, for example, a CPU (Central Processing Unit) can be used. As the recording medium, a "non-temporary tangible medium" such as a ROM (Read Only Memory), a tape, a disk, a card, a semiconductor memory, a programmable logic circuit, or the like can be used. In addition, a RAM (Random Access Memory) for developing the above program may be further provided. Also, the program may be supplied to the computer via any transmission medium (communication network, broadcast wave, etc.) capable of transmitting the program. Note that one aspect of the present invention can also be implemented in the form of a data signal embedded in a carrier wave in which the program is embodied by electronic transmission.

The present invention is not limited to the above-described embodiments, but can be modified in various ways within the scope of the claims, and can be obtained by appropriately combining technical means disclosed in different embodiments. is also included in the technical scope of the present invention.

1 biological data measurement system 10 wearing device 20 management device 110 electroencephalogram sensor 120 cerebral blood flow sensors 130, 220 power supply 140, 210 communication units 150, 240 notification unit 160 body unit 170 headband unit 230 controller 231 processor 232 memory 250 display unit 311 identification unit 312 output unit

Claims (8)

comprising a controller and a memory,
The controller is
Based on the worker's electroencephalogram measured by an electroencephalogram sensor and the worker's cerebral blood flow measured by a cerebral blood flow sensor, the determination criteria different for each worker and stored in the memory a specifying process for specifying the state of the worker using criteria determined based on biometric data for each worker;
an output process for outputting a specified result from the specified process; and
The specific result output in the output process is
(i) a first state in which the worker is not able to concentrate on the work and the worker is not in poor physical condition ;
(ii) a second state in which the worker cannot concentrate on work and the worker is in poor physical condition ;
(iii) a third state in which the worker is concentrating on work and needs rest; and
(iv) a fourth state in which the worker is concentrating on work and does not require rest;
containing information indicating either
A biological data measuring device characterized by: The controller is
In the specifying process, if the electroencephalogram measured by the electroencephalogram sensor is a slow wave, and the blood flow and blood oxygen concentration specified from the detection value of the cerebral blood flow sensor satisfy predetermined conditions, Identifying that the worker is in the second state;
The biological data measuring device according to claim 1, characterized in that: The controller is
In the specifying process, when the electroencephalogram measured by the electroencephalogram sensor is a slow wave, and the blood flow rate and blood oxygen concentration specified from the detection value of the cerebral blood flow sensor do not satisfy a predetermined condition. , identifying that the worker is in the first state;
3. The biological data measuring device according to claim 1 or 2, characterized in that: The controller is
In the specifying process, the cerebral blood flow measured by the cerebral blood flow sensor changes, and the blood flow rate and blood oxygen concentration specified from the detection values of the cerebral blood flow sensor satisfy a predetermined condition. If the operator is in the second state,
The biological data measuring device according to claim 1, characterized in that: The controller is
In the specific processing, the cerebral blood flow measured by the cerebral blood flow sensor does not change, and
If the electroencephalogram measured by the electroencephalogram sensor is a slow wave, the operator identifies the first state;
The biological data measuring device according to claim 1 or 4, characterized in that: The controller is
In the specific process, when the amplitude of the electroencephalogram measured by the electroencephalogram sensor is equal to or less than a predetermined threshold and the state of fast waves continues for a predetermined time or longer, the operator performs the identifying a third state;
The biological data measuring device according to any one of claims 1 to 5, characterized in that: The controller is
at least one processor that executes each process according to a predetermined program;
at least one said memory storing said program;
The biological data measuring device according to any one of claims 1 to 6, characterized in that: A control program for controlling the biological data measuring device according to any one of claims 1 to 7, wherein the control program causes the controller to execute each of the processes.

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