JP6569992B2 - Dementia information output system and control program - Google Patents

Description

  The present invention relates to a dementia information output system for determining dementia and the like, and a control program used in devices constituting the dementia information output system.

  2. Description of the Related Art Conventionally, a dementia initial stage determination system is known that determines dementia by discovering an operation different from the daily operation tendency based on the operation status of the switch of the monitoring sensor unit (see Patent Document 1).

JP 2014-018341 A

  In the dementia initial stage determination system according to Patent Document 1, it is determined whether or not the subject is a dementia based on an additional work with respect to the daily work of the subject (user). For example, based on the additional work of operating a switch of the watching sensor unit every day when getting up, whether or not the person has dementia is determined by whether or not the additional work is forgotten.

  An object of this invention is to provide the dementia information output system which can output the dementia information which shows the possibility of onset of mild dementia etc., without requiring the additional work with respect to a daily work. Moreover, an object of this invention is to provide the control program (program for computers) used in the dementia information output system.

  “Mild dementia etc.” is used as a term meaning a concept including mild dementia and mild cognitive impairment (MCI), which is the previous stage. Here, mild dementia or the like may be simply referred to as dementia or mild dementia. Mild dementia and the like are distinguished from a healthy state.

  In order to achieve the above object, a dementia information output system according to an aspect of the present invention includes a measurement unit that measures a user's body movement, a measurement result of the body movement, and based on the measurement result, An acquisition unit that identifies a user's sleep time zone for each day, a determination unit that determines whether or not an electric device used by the user is in a power-on state, and the sleep time zone specified by the acquisition unit A determination unit that determines the possibility that the user has developed mild dementia or the like based on the frequency of forgetting to turn off, which is the occurrence frequency of the day determined by the determination unit as the electric device is in a power-on state; And an output unit that outputs dementia information indicating the possibility determined by the determination unit.

  A control program according to an aspect of the present invention is a control program for causing a device including a microprocessor to execute a dementia information output process, wherein the dementia information output process measures a user's body movement. A measurement step of acquiring, a measurement result of the body movement, an acquisition step of specifying the sleep time zone of the user for each day based on the measurement result, and an electric device used by the user in a power-on state A determination step of determining whether or not there is a frequency of forgetting to turn off, which is a frequency of occurrence of the day determined in the determination step that the electrical device is in a power-on state during the sleep time period specified in the acquisition step Based on the determination step of determining the possibility that the user has developed mild dementia and the like, and the dementia information indicating the possibility determined in the determination step And an output step of outputting.

  According to the present invention, dementia information indicating the possibility of development of mild dementia and the like can be obtained without requiring additional work for daily work.

FIG. 1 is a schematic configuration diagram illustrating an example of a configuration of a dementia information output system according to the first embodiment. FIG. 2 is a functional block diagram of the dementia determination device and the like according to the first embodiment. FIG. 3 is a conceptual diagram illustrating a relationship between functional components of the dementia determination device according to Embodiment 1. FIG. 4 is a graph illustrating the temporal change in the measurement result (body movement amount) of body movement. FIG. 5 is a flowchart showing dementia information output processing in the dementia determination device according to Embodiment 1. FIG. 6A is a graph showing an image of transition of body movement amount in a sleep time zone of a healthy person (a person in a healthy state). FIG. 6B is a graph showing an image of transition of body movement amount in the sleeping hours of the onset person such as mild dementia. FIG. 7 is a functional block diagram of the dementia determination device and the like according to the second embodiment. FIG. 8 is a conceptual diagram illustrating a relationship between functional components of the dementia determination device according to the second embodiment. FIG. 9 is a data distribution diagram showing the relationship between the distribution of the body movement amount in the sleep time zone of the healthy person and the threshold σ for determining the abnormal day. FIG. 10 is a schematic diagram illustrating an example of a determination result of an abnormal day and a normal day for each day. FIG. 11 is a flowchart showing a dementia information output process in the dementia determination device according to the second embodiment. FIG. 12: is a schematic block diagram which shows an example of a structure of the dementia information output system which concerns on other embodiment.

(Knowledge that leads to the invention)
In an aging society, it is assumed that the problems of elderly people with dementia will become apparent. In particular, accidents involving the driving of elderly people with dementia on the highway or on sidewalks have recently been actively covered in reports, and TV programs related to dementia are frequently broadcast. Has been.

  There are various levels of dementia, ranging from mild to severe. If abnormalities are detected at the stage of mild cognitive impairment before dementia, exercise training may reduce the onset of dementia. For this reason, attention has been focused on early detection of abnormalities at the stage of mild cognitive impairment. As a method of detecting an abnormality at an early stage, there are a method in which the subject himself / herself notices the abnormality and a method in which people around the subject notice the abnormality.

  In addition, there are two methods for the people around the subject to notice anomalies: a method for the people around the subject to notice an anomaly in the subject's speech, and the people around the subject to an alteration in the living behavior of the subject. There is a way to notice. Here, in particular, a description will be given of a method in which a person around the subject notices a change in the living behavior of the subject.

  If the subject becomes dementia, forgetfulness increases in the living behavior of the subject. This means that if the subject becomes demented, the work of the hippocampus, which is a place where information is converted from short-term memory to long-term memory in the subject's brain, decreases, or the function of the “working memory” decreases. Is presumed to be the cause. The working memory corresponds to temporary storage for processing information, for example. In recent studies, memory impairment in dementia has been estimated to be due to impaired working memory.

  Therefore, if the subject becomes dementia, so-called “forgetting” occurs as symptoms, such as forgetting to bathe, forgetting to turn off the water tap, and forgetting to turn off the electrical equipment in the living behavior of the subject. is assumed. For example, if the subject has dementia, the subject may be more likely to fall asleep because he / she has forgotten to turn off an electrical device such as a television and a lighting device (ie, forget to turn off the electrical device).

  Actually, as a result of investigating care records for elderly people with dementia living in elderly facilities, the event that elderly people with dementia forget to turn off the TV and fall asleep in about two months has occurred. . On the other hand, there is no event that normal elderly people forget to turn off the TV and fall asleep.

  Although it is not easy to distinguish between “forgetting to do” and intentional behavior in daily activities, an event in which an electric device such as a TV that is not used during sleep is in a power-on state during sleep is a forgetting to turn off the electric device is assumed. That is, it may be possible to detect “forgetting” based on the sleep state of the subject and the power-on state of the electrical device.

  However, even if the subject does not have dementia, “forgetting” may occur. Therefore, it is not appropriate to determine that the subject has dementia with a single “forget”. If the subject is dementia, it is assumed that “forgetting” is repeated.

  Based on the above knowledge and the like, a technical idea related to a dementia information output system capable of outputting dementia information indicating the possibility of development of mild dementia or the like based on the frequency of “forgetting to do” has been created. Hereinafter, embodiments of the dementia information output system will be described with reference to the drawings.

  Each of the embodiments shown here shows a specific example of the present invention. Accordingly, the numerical values, shapes, materials, components, component arrangement and connection forms, steps (steps) and order of steps, and the like shown in the following embodiments are examples and limit the present invention. is not. Among the constituent elements in the following embodiments, constituent elements that are not described in the independent claims can be arbitrarily added. Each figure is a mimetic diagram and is not necessarily illustrated strictly.

(Embodiment 1)
Hereinafter, a dementia information output system 10 according to an embodiment of the present invention will be described.

(Constitution)
The dementia information output system 10 determines whether a target person (user) such as an elderly person or a cared person has developed mild dementia or the like, and the user may have developed mild dementia or the like. This is a system for outputting dementia information indicating whether or not mild dementia or the like has developed. For example, the dementia information output system 10 determines whether the user has developed mild dementia or the like based on the frequency with which the user forgets to turn off the electrical device.

  FIG. 1 is a schematic configuration diagram illustrating an example of a dementia information output system 10 according to the first embodiment. As shown in the figure, the dementia information output system 10 includes dementia determination devices 100 a to 100 c and a notification device 200. Although the three dementia determination devices 100a to 100c are shown here for convenience, the dementia information output system 10 can include one or more arbitrary numbers of dementia determination devices.

  FIG. 1 illustrates a dementia information output system 10 applied to a care health facility (care insurance facility) 20 such as a care facility for the elderly or a care medical facility. In the dementia information output system 10, for each user A to C living in the care rooms 22 a to 22 c of the care health facility 20, the determination related to the onset of mild dementia and the like is made by the dementia determination devices 100 a to 100 c. And the like are transmitted to the notification device 200.

  The notification device 200 is installed in a management room 21 where a caregiver such as a care worker, a nurse, a doctor, or the like is mainly located. Caregivers and the like can easily know dementia information (information regarding the possibility that the user has developed mild dementia, etc.) about each user A to C living in each care room 22a to 22c by the notification device 200. And can take necessary measures appropriately.

  The care room 22a includes a bed 23a, a television 24a, and the like, and is a room where the user A lives. The dementia determination device 100a is installed in the care room 22a. Similarly, the nursing care rooms 22b and 22c include beds 23b and 23c, televisions 24b and 24c, dementia determination devices 100b and 100c, and the like, where users B and C live.

  The dementia determination device 100a has a function of determining whether or not the user A has mild dementia or the like based on the frequency with which the user A forgets to turn off the television 24a and transmitting dementia information including the determination result. A processing device (computer). The dementia determination device 100 a includes a body motion sensor 101, a memory 102, a communication interface (communication I / F) 103, and a processor (microprocessor) 104.

  Here, the description will be made mainly focusing on the dementia determination device 100a installed in the care room 22a of the user A, but the dementia determination devices 100b and 100c also have the same configuration as the dementia determination device 100a.

  The body movement sensor 101 is a sensor for detecting the body movement of the user A. The body motion sensor 101 may be any sensor as long as it can detect the body motion of the user A in the bed 23a.

  For example, the body motion sensor 101 is a radio wave sensor including a transmission / reception circuit that transmits (transmits) radio waves (for example, microwaves) and receives reflected waves in order to measure the movement of a human body. The body motion sensor 101 is installed on the bed 23a (for example, a part of the bottom located in the lower layer of the mattress) or the ceiling portion above the bed 23a in the care room 22a in order to measure the body motion of the user A. May be.

  The body motion sensor 101 may be placed on the bedside of the bed 23a and may detect the body motion of the user A by detecting the vibration of the bed 23a. Moreover, the body motion sensor 101 may be carried by the user A and may detect the body motion of the user A by detecting the vibration accompanying the body motion of the user A. The body motion sensor 101 may include a camera installed in the care room 22a. The body motion sensor 101 may detect the body motion of the user A based on the video obtained from the camera.

  The body motion sensor 101 may further detect that the user A is in the bed 23a. The body motion sensor 101 may include a human sensor for detecting that the user A is in the bed 23a.

  The memory 102 is a ROM (Read Only Memory) that holds programs and data in advance, a RAM (Random Access Memory) that is used to store data when the programs are executed, and the like. The memory 102 may include, for example, a nonvolatile memory.

  The communication I / F 103 is a communication circuit for communicating with the notification device 200. Communication between the dementia determination device 100a and the notification device 200 may be wireless communication or wired communication.

  The processor 104 performs processing for controlling the communication I / F 103 and the like by executing a control program stored in the memory 102. The dementia determination device 100a may include a display such as an LCD (Liquid Crystal Display), for example, and may display dementia information on the display.

  The notification device 200 installed in the management room 21 is a monitor device including a communication I / F and a display, and may be a computer terminal including a memory and a processor, for example.

  FIG. 2 is a functional block diagram of the dementia determination device 100a in the dementia information output system 10 according to the present embodiment. The dementia determination device 100a is installed in a nursing room 22a where the user A lives. In the figure, the functional configuration of the electric device (television) 24a installed in the care room 22a and the notification device 200 installed in the management room 21 are also appended.

  The dementia determination device 100a having the hardware configuration shown in FIG. 1 realizes a function of outputting dementia information based on the frequency with which the user A forgets to turn off the electric device (television) 24a. Therefore, the dementia determination device 100a includes a measurement unit 110, an acquisition unit 120, a determination unit 170, a determination unit 140, and an output unit 160 as functional components as illustrated in FIG. In addition, the main processing content in each function component of the dementia determination apparatus 100a and the information (data) handled are shown in FIG.

  The measurement unit 110 is realized by the body motion sensor 101, the processor 104 that executes a control program, and the like, and has a function of measuring the body motion of the user A using the body motion sensor 101. For example, when the body motion sensor 101 is a radio wave sensor, the measurement unit 110 identifies the body motion of the user A from the waveform of the transmission signal related to the radio wave transmitted from the radio wave sensor and the waveform of the reception signal related to the reflected wave. By doing so, a measurement result of body movement is obtained.

  From the difference between the waveform of the transmission signal and the waveform of the reception signal, a frequency (Doppler frequency) proportional to the moving speed of the human body or the like reflecting the radio wave related to the transmission signal is obtained by a known technique based on the Doppler principle. The amplitude of the Doppler frequency waveform is obtained. For example, depending on the amplitude of the waveform when the Doppler frequency obtained using a radio wave sensor exceeds a threshold (for example, 2 Hz) that distinguishes micromotion (breathing, heartbeat, etc.) and body movement among human body movements. It becomes possible to specify the measurement result (body movement amount) of the body movement.

  In the measurement unit 110, for example, using the body motion sensor 101, the size of the body motion is classified into 10 levels from 0 (minimum value such as no body motion) to 9 (maximum value) every minute. Thus, the measurement result (body movement amount) of the body movement can be specified. Note that the measurement unit 110 may not include the body motion sensor 101, and may measure body motion based on information obtained from the body motion sensor 101 outside the measurement unit 110. Further, the measurement unit 110 may detect that the user A is in the bed 23 a based on information obtained from the body motion sensor 101.

  The acquisition unit 120 is realized by the processor 104 or the like that executes a control program, and has a function of acquiring a measurement result of body movement in the sleep period of the user A. The acquisition unit 120 identifies the sleep time zone of the user A based on the measurement result of the body movement of the user A obtained by the measurement unit 110. The sleeping time zone is a time zone during sleep in general, includes sleeping time, and may include temporary non-sleeping time (such as a state that is temporarily awakened at night).

  An example of a method for specifying a sleep time zone is a method of estimating sleep onset and wakeup from a measurement result of user A's body movement, and specifying from sleep onset to wakeup as a sleep time zone. For example, the acquisition unit 120 estimates the time of sleep due to a state in which the measurement result (body movement amount) of the user A every minute is 0 for a certain period (for example, several tens of minutes). To do. In addition, the acquisition unit 120 wakes up after a sleep state due to the fact that the value of the measurement result of body movement per minute is greater than a predetermined value (for example, 1) for a certain period (for example, several tens of minutes). Estimate time.

  FIG. 4 illustrates a temporal change in the measurement result (body movement amount) of body movement. In the example of the change in the amount of body movement schematically shown in the figure, for example, it is estimated that, for example, 23:00 is when falling asleep, and, for example, 5:00 is estimated when waking up. Thereby, the sleep time zone of the user A on this day is specified from 23:00 to 5 o'clock. Thus, specifying the sleep time zone based on the measurement result of the body motion is useful for improving the accuracy of the determination of mild dementia and the like using the measurement result of the body motion of the user A in the sleep time zone. .

  By applying another algorithm to the measurement result of body movement, the time of falling asleep and the time of waking up may be estimated. Alternatively, a method may be used such that the sleep is estimated at night and the wake-up is in the morning.

  Moreover, the acquisition part 120 may specify a sleep time zone on condition that the user A exists in the bed 23a. Therefore, the acquisition unit 120 may acquire information indicating whether or not the user A is in the bed 23a from the measurement unit 110. In addition, when the user A lives in the bed 23a, since it is assumed that the user A is basically in the bed 23a, it is not particularly necessary to confirm that the user A is in the bed 23a.

  In addition, for example, the acquisition unit 120 specifies a sleep time zone for each day. Here, the day corresponds to a unit period of 24 hours and does not necessarily have to be divided at midnight, for example, may be divided at noon. Moreover, the acquisition part 120 does not necessarily need to perform the specific process of a sleep time zone every day. For example, the acquisition unit 120 acquires the measurement result for one week, and specifies the sleep time zone for one week by specifying the sleep time zone for each day based on the measurement result. May be executed once.

  The determination unit 170 is realized by the memory 102, the communication I / F 103, the processor 104 that executes a control program, and the like. The discriminator 170 has an on / off discriminating function for discriminating whether or not the television 24a is in a power-on state and holding the discrimination result in association with the time. The power-on state is a state in which the power of the television 24a is not turned off. Specifically, the power consumption is a state in which the power consumption is larger than a predetermined value (for example, zero, a value of approximately zero, or a standby power value). When the TV 24a is turned off, the TV 24a is turned off.

  The determination unit 170 performs this determination by, for example, a signal indicating that the television 24a is in a power-off state or a power-on state immediately after the television 24a is turned on and immediately before the power is turned off. This can be done by acquiring from the television 24a.

  In addition, the determination unit 170 may calculate the power consumption of the television 24a by acquiring a signal indicating the current detected from a current sensor provided in a branch circuit of a distribution board to which the television 24a is connected. . In this case, the determination unit 170 can determine that the calculated power consumption is zero or a predetermined standby power (for example, several watts) or less and that the power is off, and otherwise the power is on.

  The determination unit 140 is realized by the memory 102, the processor 104 that executes a control program, and the like. The determination unit 140 evaluates the frequency of forgetting to turn off that is the occurrence frequency of the day determined by the determination unit 170 that the electrical device (television) 24a is in the power-on state during the sleep time period specified by the acquisition unit 120. Has a function to determine the onset of mild dementia, etc. That is, the determination unit 140 determines the possibility of developing mild dementia or the like based on the frequency of forgetting to turn off that corresponds to the frequency of occurrence of the day when the electrical device 24a is in the power-on state during the sleeping hours.

  The determination unit 140 may evaluate the occurrence frequency of the day when the electric device 24a is in the power-on state over the entire sleep time period as the frequency of forgetting to turn off. Alternatively, the determination unit 140 may evaluate the occurrence frequency of the day when the electrical device 24a is in the power-on state at one time point (for example, when falling asleep) in the sleep time period as the frequency of forgetting to turn off. In order to evaluate the frequency of forgetting to turn off, the determination unit 140 determines whether or not the electrical device 24a is in a power-on state during the sleep time every day, and stores the determination result in the memory 102 or the like. Good.

  For example, when the forgetting-off frequency exceeds a predetermined reference frequency, the determination unit 140 determines that the user A has developed mild dementia or the like. The predetermined reference frequency is, for example, a frequency of 2 days in a week, a frequency of 10% in a period of 1 week or more, or a frequency of 2 consecutive days (that is, a frequency of 100% in a period of 2 days or more). . The frequency of forgetting to erase is, for example, the occurrence frequency in a certain period T longer than one week. In order to determine whether or not it is mild dementia or the like more accurately, it is useful that the certain period T is long (for example, three months).

  The output unit 160 is realized by the processor 104 that executes the control program, the communication I / F 103, and the like. The output unit 160 has a function of outputting dementia information indicating the possibility that the user A has developed mild dementia and the like.

  The dementia information indicates that the user A has developed mild dementia or the like when the determination unit 140 determines that the user A has developed mild dementia or the like. In addition, the output unit 160 may include, in the dementia information, information indicating the frequency of forgetting to erase in a certain past period, information indicating the occurrence date of forgetting to erase, information indicating the transition of the frequency of forgetting to erase, and the like. .

  Note that if the determination unit 140 does not determine that the user A has developed mild dementia or the like, the output unit 160 may not output dementia information. In addition, when the determination unit 140 does not determine that the user A has developed mild dementia or the like, the output unit 160 determines the frequency of forgetting to erase in a certain period in the past (the degree indicating suspicion of mild dementia or the like). Dementia information including the index value (for example, the unit is%) may be output.

  For example, the output unit 160 outputs the dementia information by transmitting the dementia information to the notification device 200. In the notification device 200, based on the dementia information received by the communication unit 210, the output unit 220 displays the dementia information on a display or the like. When the dementia determination device 100a includes a display, the output unit 160 of the dementia determination device 100a can output the dementia information by displaying the display on the display.

(Operation)
Hereinafter, operation | movement of the dementia determination apparatus 100a in the dementia information output system 10 provided with the above-mentioned structure is demonstrated.

  FIG. 5 is a flowchart showing dementia information output processing in dementia determination apparatus 100a according to the present embodiment. Hereinafter, the dementia information output process will be described with reference to FIG.

  The dementia determination device 100a measures the body movement of the user A by the measurement unit 110 using the body movement sensor 101 (step S11). And the dementia determination apparatus 100a acquires the measurement result (body movement amount) of a body movement by the acquisition part 120, and specifies a sleep time slot | zone for every day (step S12). The determination unit 170 of the dementia determination device 100a determines for each time whether or not the electrical device 24a is in a power-on state (step S13).

  Then, the determination unit 140 of the dementia determination device 100a determines whether or not the frequency of forgetting to erase in a past fixed period exceeds a threshold value (predetermined reference frequency) (step S14). The frequency of forgetting to turn off is the occurrence frequency of the day when it is determined in step S13 that the electric device 24a is in the power-on state during the sleep period specified in step S12. The past fixed period is, for example, one week. The past certain period may be from the date when the electric device 24a is first forgotten to be turned off to the present.

  In step S14, when the frequency of forgetting to erase exceeds the predetermined reference frequency, the determination unit 140 determines that the user A has developed mild dementia or the like (step S15). For example, the determination unit 140 may reduce the possibility of misdetermining mild dementia or the like when forgetting to turn off occurs carelessly regardless of dementia by using the frequency of forgetting to turn off for the determination. In operation, it is useful to set an appropriate predetermined reference frequency from the viewpoint of suppressing this erroneous determination.

  Based on the determination result in step S15, the output unit 160 outputs dementia information (such as transmission to the notification device 200) including that the user A has developed mild dementia or the like (step S16). . In step S14, when the frequency of forgetting to erase does not exceed the predetermined reference frequency, the output unit 160 may not output dementia information, and indicates that the user A has developed mild dementia or the like. No dementia information may be output.

  After the process of step S16 or when it is determined in step S14 that the forgetting-off frequency does not exceed the predetermined reference frequency, the dementia determination device 100a returns to the process in step S11. For example, the process of step S11 is performed every day. For example, the process of step S11 may be performed at any time, and the processes after step S12 may be performed collectively for one week.

  By such a dementia information output process, when the user A forgets to turn off the electrical device (TV or the like) at the time of falling asleep, the dementia information based on that is displayed on the display of the notification device 200. Become so.

  Since the dementia determination devices 100b and 100c perform the same operation as the above-described dementia determination device 100a, when the users A to C develop mild dementia or the like, information to that effect is installed in the management room 21. The information is displayed on the display of the notification device 200.

(Embodiment 2)
The determination of mild dementia or the like in the present embodiment is based on the measurement result of body movement in the sleep time zone in addition to the frequency of forgetting to turn off.

  As a symptom of dementia, it is known that sleep disorders such as shallow sleep occur. In dementia, it is said that the hypothalamus and brainstem that control biological clocks such as sleep and awakening have extensive and severe organic disorders. And in patients with Alzheimer-type dementia, there is a known example in which the awakening state and the sleeping state are frequently repeated in the time from sleeping at night to waking up the next morning (sleeping period). .

  That is, due to Alzheimer's dementia, the biological clock may be distorted and circadian rhythm disturbance may occur. As a result, the level of wakefulness during the day may be reduced, circadian rhythm disturbance may be amplified, and symptoms such as sleep disruption and night activity may appear.

  Based on these findings, the present inventors conducted an experiment, and the measurement result (body movement amount) by the body motion sensor in the elderly's sleeping hours developed mild dementia, etc. when the elderly was a healthy person. I found a difference in the case of the person.

  FIG. 6A shows a graph G01A of the transition of the body movement amount in the sleep time zone of the elderly healthy person (the person in the healthy state), and FIG. 6B shows the transition of the body motion amount in the sleep time zone of the onset of the elderly dementia. The graph G01B is shown. 6A and 6B represent the experimental results as a schematic image. In this example, the sleeping time zone is fixedly defined as from 23:00 to 6:00. 6A and 6B additionally show graphs G02A and G02B of the transition of the total body movement amount in one day as well as the sleep time zone.

  In this example, the amount of body movement in the sleep time zone is divided into 10 steps from 0 (minimum value such as no body movement) to 9 (maximum value) by the body motion sensor every minute. It is measured separately, and the value is accumulated in the sleep time zone. In addition, the total body movement amount per day is measured by a body motion sensor by distinguishing the magnitude of body movement into 10 steps from 0 (minimum value such as no body movement) to 9 (maximum value). The values are accumulated in one day (24 hours).

  As shown in FIG. 6A, the total body movement amount of a healthy person changes greatly to some extent from day to day, but the movement amount of a healthy person in a sleep time zone does not change much. On the other hand, as shown in the graph G01B in FIG. 6B, the body movement amount in the sleep time zone of the person who developed dementia is more daily (in comparison with the body motion amount in the sleep time zone of the healthy person shown in the graph G01A in FIG. 6A). Change every 24 hours) is large.

  Note that, as shown in the graph G02B of FIG. 6B, the total body movement amount of the person who has developed dementia changes to some extent every day in the same manner as the total body movement amount of the healthy person shown in the graph G02A of FIG. 6A. Therefore, paying attention to body movements during the sleeping hours is useful in distinguishing between persons with dementia and healthy individuals. Since the onset of dementia is a healthy person before the onset, the sleep period is also used to distinguish between before and after the onset of mild dementia (that is, to distinguish between a normal state and a mild dementia state). It is useful to measure body movement.

  Based on the above, the dementia information output system 11 in which the dementia information output system 10 in the first embodiment is partially modified will be described below.

(Constitution)
The dementia information output system 11 transforms the dementia determination device of the dementia information output system 10 (see FIG. 1) shown in the first embodiment, and in addition to the frequency of forgetting to turn off, the body movement in the sleep time zone Based on the above, the possibility that the user has developed mild dementia or the like is determined. Here, the description will be given mainly focusing on a dementia determination device 1100a obtained by modifying the dementia determination device 100a of the care room 22a where the user A lives as shown in FIG.

  In the dementia information output system 11, the dementia determination devices 100b and 100c are also modified to have the same configuration as the dementia determination device 1100a. The dementia information output system 11 according to the present embodiment is the same as the dementia information output system 10 shown in the first embodiment with respect to the points not shown here, and the same configuration is the same as the first embodiment. Description will be omitted as appropriate using reference numerals. Moreover, the dementia determination apparatus 1100a is the same as the dementia determination apparatus 100a shown in Embodiment 1 in terms of hardware.

  FIG. 7 is a functional block diagram of the dementia determination device 1100a in the dementia information output system 11 according to the present embodiment. The dementia determination device 1100a is installed in the nursing room 22a where the user A lives. In the figure, an electric device (television) 24a installed in the nursing room 22a and a notification device 200 installed in the management room 21 are appended.

  The dementia determination device 1100a realizes a function of outputting dementia information based on the measurement result of the body movement of the user A in the sleep time zone and the frequency of forgetting to turn off the electric device 24a. Therefore, the dementia determination apparatus 1100a includes a measurement unit 110, an acquisition unit 1120, a storage unit 1130, a determination unit 170, a determination unit 1140, an update unit 1150, and an output unit 160 as functional components as illustrated in FIG. In addition, the main processing content in each functional component of the dementia determination apparatus 1100a and information (data) to be handled are shown in FIG.

  The acquisition unit 1120 has the following functions in addition to the functions of the acquisition unit 120 described in the first embodiment. That is, the acquisition unit 1120 has a function of acquiring the measurement result of the body movement in the sleep time zone of the user A every unit period (for example, 24 hours). Here, a description will be given assuming that the unit period is 24 hours (one day). When the unit period is 24 hours (one day), it is not always necessary to divide the unit period (one day) at midnight. For example, the unit period can be divided at noon.

  The acquisition unit 1120 identifies the user A's sleep time zone in one day (unit period of 24 hours) based on the measurement result of the user A's body movement obtained by the measurement unit 110, and the user A in the identified sleep time zone Acquire (specify) the measurement results of body movement. Then, the acquisition unit 1120 transmits the measurement result of the user A's body movement in the sleep time zone to the determination unit 1140.

  The storage unit 1130 is realized by one area of the memory 102 or the like, and stores reference data relating to body movements in the sleep time zone of a healthy person to be used for comparison with the measurement results of the body movement of the user A in the sleep time zone. It has the function to do. This healthy person is, for example, an elderly person who does not develop mild dementia, etc., and may be a healthy person other than user A, for example, at a time when mild dementia etc. does not develop User A may also be used.

  Since the reference data is to be compared with the measurement result of the body movement of the user A in the sleep time period acquired by the acquisition unit 1120, the measurement was performed for the user A at a time when mild dementia or the like has not occurred. It is useful to relate to the amount of body movement during the sleeping hours. The reference data stored in the storage unit 1130 is, for example, an average value of the amount of body movement in the sleep time zone of a healthy person measured in a plurality of unit periods (a plurality of days).

  The determination unit 1140 has the following function in addition to the function of the determination unit 140 shown in the first embodiment. That is, the determination unit 1140 compares the reference data stored in the storage unit 1130 with the measurement result of the body movement of the user A in the daytime sleep time, and evaluates the difference (the magnitude of the difference). , It has an abnormal day determination function for determining whether the day is an abnormal day or a healthy day. The abnormal day is a day on which the user A is estimated not to be healthy, and the normal day is a day on which the user A is estimated to be healthy.

  The difference (magnitude of difference) evaluated by the anomaly day determination function is, for example, the ratio between the reference data and the measurement result of body movement in the daytime sleep period of the user A, or the magnitude of the difference (absolute value). is there. Here, the magnitude of the difference is described as being the absolute value of the difference. The determination unit 1140 has, for example, an absolute value of a difference between the reference data and the measurement result acquired by the acquisition unit 1120 (the measurement result of the body movement in the daytime sleep period of the user A) as the abnormal day determination function. When the threshold (here, the threshold σ) is exceeded, it is determined that the day is an unusual day.

  The determination unit 1140 determines that the day is a healthy day when the absolute value of the difference does not exceed the threshold σ. Here, the reference data stored in the storage unit 1130 is an average value of the body movement amount of the healthy person measured in a plurality of days, and the standard deviation σ of the body movement amount measured in the plurality of days is a threshold σ. Used as

  FIG. 9 shows the relationship between the distribution of the amount of body movement in the healthy person's sleep time zone and the threshold σ for determining the abnormal day. The reference data corresponds to the average value m in the body motion amount distribution of FIG. 9, and when the measurement result of the body motion of the user A during the sleep time is larger than the average value m + standard deviation σ and the average value m−standard deviation σ. If it is smaller, it is determined as an abnormal day. In addition, the predetermined threshold value compared with the absolute value of the difference mentioned above does not necessarily need to be a standard deviation of the amount of body movement in a normal person's sleep time measured in multiple days, and is a value obtained by multiplying the standard deviation by a certain ratio. It may be.

  In addition to the frequency of forgetting to turn off, the determination unit 1140 further has a function of determining the possibility that the user A has developed mild dementia or the like based on the measurement result of body movement in the sleep time zone.

  That is, the determination unit 1140 further determines a unit period (that is, an abnormal day determination) in which the magnitude of the difference between the reference data and the measurement result of the body movement of the user A's sleep time exceeds a predetermined threshold (threshold σ: first threshold). Evaluate the frequency of occurrence of abnormal days determined by function) to determine the onset of mild dementia and the like. Specifically, the determination unit 1140 determines that the user A has developed mild dementia or the like when the occurrence frequency of the abnormal day exceeds a predetermined reference frequency.

  The predetermined reference frequency is, for example, a frequency of 5 days in a week, a frequency of 70% in a period of 1 week or more, or a frequency of 5 consecutive days (that is, a frequency of 100% in a period of 5 days or more). . The occurrence frequency of the abnormal day is, for example, the occurrence frequency in a certain period T longer than one week, and in order to determine more accurately whether or not it is mild dementia or the like, the certain period T is long (for example, 3 Month).

  FIG. 10 shows an example of the amount of body movement in each day's sleep time zone, and the determination result of abnormal day and healthy day. For example, if the predetermined reference frequency is 70% in the period of the past one week or more, according to the example of FIG. 10, the occurrence frequency of the unusual day exceeds the predetermined reference frequency on the 16th, and the determination unit 1140 The user A is determined to have mild dementia or the like.

  When the frequency of forgetting to erase exceeds a predetermined reference frequency (second threshold) or when the occurrence frequency of an abnormal day exceeds a predetermined reference frequency (third threshold), the determination unit 1140 determines that the user A has mild dementia, etc. Is determined to have developed.

  For example, if the determination unit 170 determines that the television 24a is in the power-on state during the user A's sleep time period (for example, when falling asleep), the determination unit 1140 causes the user A to develop mild dementia or the like. It is determined that In addition, for example, the determination unit 1140, when the occurrence frequency of the day (abnormal day) in which the absolute value of the difference between the reference data and the body movement amount of the user A's daily sleep time exceeds the threshold σ exceeds the predetermined reference frequency The user A is determined to have mild dementia or the like.

  The update unit 1150 is realized by the processor 104 or the like that executes a control program. The update unit 1150 is within a day (unit period) in which the magnitude of the difference between the reference data and the measurement result acquired by the acquisition unit 1120 (the amount of body movement in the user A's sleep time zone) does not exceed a predetermined threshold (threshold σ). Has a function of updating the reference data so as to reflect the measurement result.

  For example, in the case where the reference data is an average value (a value obtained by dividing the sum by the number of days) of the amount of body motion (total of the amount of body motion for a plurality of days) in the sleep time zone of a healthy person measured on a plurality of days, the update unit 1150 Can update the reference data as follows.

  That is, the update unit 1150 calculates the average calculated after adding the amount of body movement in the sleep time zone of the user A on the day determined as a healthy day by the determination unit 1140 to one day, and adding the total amount of body movements of the plurality of days. The value (the value obtained by dividing the new sum by the total number of days) is set as new reference data (updated reference data). In this update, for example, the threshold σ used by the determination unit 1140 for determining whether the day is an abnormal day or a healthy day, and the amount of body movement in multiple days including the amount of body movement in the sleep time zone of the user A on the day determined to be the normal day It may be updated to correspond to the standard deviation.

  In addition, after the reference data stored in the storage unit 1130 is updated by the update unit 1150, the determination unit 1140 performs determination using the updated reference data. In other words, the determination unit 1140 generates an abnormal day in which the magnitude of the difference between the updated reference data and the measurement result acquired by the acquisition unit 1120 (the amount of body movement in the user A's sleep time) exceeds the threshold. Determines that the user A has developed mild dementia or the like.

(Operation)
Hereinafter, the operation of the dementia determination device 1100a in the dementia information output system 11 having the above-described configuration will be described.

  FIG. 11 is a flowchart showing dementia information output processing in dementia determination apparatus 1100a according to the present embodiment. Hereinafter, the dementia information output process will be described with reference to FIG.

  The dementia determination apparatus 1100a measures the body movement of the user A by the measurement unit 110 using the body movement sensor 101 (step S21). And the dementia determination apparatus 1100a acquires the measurement result (body movement amount) of a body movement by the acquisition part 1120, and specifies a sleep time slot | zone for every day (step S22). The determination unit 170 of the dementia determination device 1100a determines whether or not the electrical device 24a is in a power-on state for each time (step S23). The dementia determination device 1100a acquires the measurement result (body movement amount) of the body movement in the sleep period of the day by the acquisition unit 1120 (step S24).

  The determination unit 1140 of the dementia determination device 1100a is configured such that the magnitude of the difference between the measurement result of the body movement of the user A in the daytime sleep time acquired in step S24 and the reference data stored in the storage unit 1130 is a threshold value. It is determined whether or not σ (first threshold) is exceeded (step S25). The reference data used for discrimination in step S25 is the average value of the body movement amount in the healthy person's sleep time zone, for example, the average value of the body movement amount in the sleep time zone measured for the user A at the time of the healthy state. May be.

  If the magnitude of the difference between the measurement result and the reference data exceeds the threshold σ in step S25, the determination unit 1140 determines that day as an abnormal day (step S26). In addition, when the magnitude of the difference between the measurement result of the body movement during the sleep period of the day and the reference data does not exceed the threshold σ, the determination unit 1140 sends the update unit 1150 to the update unit 1150 based on the measurement result of the body movement. The reference data is updated (step S27), and the day is determined as a healthy day (step S28).

  Subsequently, the determination unit 1140 determines whether or not the frequency of forgetting to erase in the past fixed period exceeds the second threshold (predetermined reference frequency), and the abnormal frequency in the past fixed period exceeds the third threshold (predetermined reference frequency). Whether or not (step S29). Here, the anomalous frequency is the occurrence frequency of the anomalous day, and the forgetting to erase frequency is the occurrence frequency of the day determined in step S13 that the electric device 24a is in the power-on state during the sleep time period specified in step S12. It is. The past fixed period is, for example, one week.

  The past certain period may be from the day when the first forgetting to disappear to the present. In addition, the past fixed period for determining whether or not the frequency of forgetting to erase exceeds the second threshold is different from the past fixed period for determining whether or not the change frequency exceeds the third threshold. Good. For example, the past fixed period for determining whether or not the frequency of forgetting to erase exceeds the second threshold may be from the date when forgetting to erase first occurs to the present. Further, for example, the past certain period for determining whether or not the abnormality frequency exceeds the third threshold may be from the first abnormality date to the present.

  In step S29, when the frequency of forgetting to erase exceeds the second threshold value, or when the abnormal frequency exceeds the third threshold value, the determination unit 1140 determines that the user A has developed mild dementia or the like ( Step S30).

  The determination unit 1140 can reduce the possibility of misjudging as mild dementia, for example, when forgetting to turn off occurs carelessly regardless of dementia by using the frequency of forgetting to turn off for determination. Further, the determination unit 1140 uses the occurrence frequency of the abnormal day for determination, for example, when a day when sleepiness is difficult and a body movement increases in the sleep time rarely occurs due to a tropical night in summer, for example, it is erroneously determined as mild dementia, etc. The possibility of doing so can be reduced. In operation, it is useful to set appropriate predetermined reference frequencies (second threshold and third threshold) from the viewpoint of suppressing these erroneous determinations.

  Based on the determination result in step S30, the output unit 160 outputs dementia information (such as transmission to the notification device 200) including that the user A has developed mild dementia or the like (step S31). In step S29, if it is determined that the frequency of forgetting to erase does not exceed the second threshold and the abnormal frequency does not exceed the third threshold, the output unit 160 may not output dementia information, You may output the dementia information which does not show that the user A has developed mild dementia etc.

  After the process of step S31 or when it is determined in step S29 that the forgetting-off frequency does not exceed the second threshold and the abnormal frequency does not exceed the third threshold, the dementia determination device 1100a The process returns to S21. For example, the process of step S21 is performed every day. For example, the process of step S21 may be performed at any time, and the processes after step S22 may be performed collectively for one week.

  By such a dementia information output process, even when the user A develops a sleep disorder, the dementia information based on that is displayed on the display of the notification device 200.

(Other embodiments, etc.)
As mentioned above, although the dementia information output systems 10 and 11 were demonstrated by Embodiment 1, 2, although embodiment mentioned above is only an example, it cannot be overemphasized that various changes, addition, omission, etc. are possible. Absent.

  In the above-described embodiment, the example in which the dementia information output systems 10 and 11 are used in the care health facility 20 is shown, but this is only an example. For example, the dementia information output systems 10 and 11 can be used in a house (a detached house, an individual dwelling unit of an apartment house, etc.), an apartment house for elderly people, a hospital, and other facilities.

  In addition, when the dementia determination devices 100a and 1100a in the dementia information output systems 10 and 11 shown in the above-described embodiments include a presentation device (display device) such as a display, the dementia determination device excluding the body motion sensor 101. 100a and 1100a may be provided in the management room 21. In this case, the dementia determination devices 100a and 1100a acquire the measurement results of the body movements of the users A to C from the body movement sensor 101 installed in the nursing rooms 22a to 22c, and mild dementia or the like based on the measurement results. It is possible to output (present) dementia information including the determination result by determining whether or not.

  In addition, when the dementia determination apparatus 100a, 1100a is included in the management room 21, the dementia determination apparatus 100a, 1100a transmits the dementia information to the notification apparatus 200 of the management room 21 even if the display apparatus is not included. It may be presented. An example of a configuration in which the dementia determination device 100a is installed in the management room 21 is shown in FIG.

  In addition, when outputting information related to mild dementia or the like for only one user A in the dementia information output systems 10 and 11, it is sufficient to provide one dementia determination device 100a and 1100a.

  In addition, the partner to which the output unit 160 of the above-described dementia determination devices 100a and 1100a transmits the dementia information is not limited to the notification device 200 provided in the management room 21. The communication I / F 103 of the dementia determination devices 100a and 1100a may be connectable to a wide area network such as a telephone network or the Internet. The notification device 200 may be a communication device such as a personal computer (PC) provided in a place different from the management room 21, or an information communication terminal such as a mobile phone.

  For example, the dementia determination device 100a is installed in a residence of an elderly person living alone, and the e-mail address of a smartphone of a family living away from the elderly is stored in the dementia determination device 100a. Is useful to send to the smartphone. Moreover, the dementia determination apparatuses 100a and 1100a may transmit dementia information to a plurality of transmission destinations.

  In the above-described embodiment, the dementia determination devices 100 a and 1100 a include the body motion sensor 101. However, the dementia determination devices 100a and 1100a do not need to include the body motion sensor 101 and only need to be able to acquire the measurement result of the body motion in the sleep time zone of the user A from the body motion sensor 101. In the case where the dementia determination devices 100a and 1100a are separated from the body motion sensor 101, for example, the body motion sensor 101 may include the functions of the measurement unit 110 and the acquisition units 120 and 1120.

  Moreover, the function sharing of each functional component of the dementia determination devices 100a and 1100a is merely an example, for example, the acquisition units 120 and 1120 may include the measurement unit 110, for example, the output unit 160 may include the determination unit 140, 1140 may be included.

  In the above-described embodiment, an operation is described in which the determination units 140 and 1140 determine that the user A has developed mild dementia or the like when the frequency of forgetting to erase is higher than a threshold. This operation is an example of an operation for determining the possibility that the user A has developed mild dementia or the like based on the frequency of forgetting to turn off. It is an example of the operation | movement determined with having high possibility of having developed.

  The determination units 140 and 1140 may determine whether or not the user A has developed mild dementia or the like when determining the possibility that the user A has developed mild dementia or the like. However, it is possible to determine the high possibility of developing mild dementia and the like. And the dementia information which shows the possibility that the user A has developed mild dementia etc. may show whether the user A has developed mild dementia etc., and the user A has mild dementia. The percentage of the possibility of developing etc. may be indicated as a percentage.

  The determination units 140 and 1140 may determine that the higher the frequency of forgetting to erase, the higher the possibility that the user A develops mild dementia or the like step by step based on one or more threshold values. . Alternatively, the determination units 140 and 1140 determine that the higher the frequency of forgetting to erase, the higher the possibility that the user A develops mild dementia, etc., continuously and steplessly regardless of the threshold value. May be. In other words, the determination units 140 and 1140 may gradually increase the possibility of mild dementia or the like as the frequency of forgetting to turn off becomes higher.

  Even in a normal state, the frequency of forgetting to erase may be high due to the personality of the user A or the like. Therefore, the determination units 140 and 1140 may determine the possibility that the user A has developed mild dementia or the like based on the change in the frequency of forgetting to turn off. In other words, the determination units 140 and 1140 indicate that the user A has developed mild dementia or the like based on the difference between the frequency of forgetting to disappear in the first period and the frequency of forgetting to disappear in the second period after the first period. The possibility of being present may be determined.

  Specifically, when the forgetting-off frequency is increased from the first frequency to the second frequency higher than the first frequency, the determination units 140 and 1140 are more than when the forgetting-off frequency is maintained at the second frequency, You may determine with the high possibility that the user A is developing mild dementia etc. In addition, the determination units 140 and 1140 may determine that the greater the degree of increase in the frequency of forgetting to erase, the higher the possibility that the user A has developed mild dementia or the like.

  Further, the determination units 140 and 1140 determine, based on one or more threshold values, that the possibility that the user A develops mild dementia or the like is higher in a stepwise manner as the degree of increase in the frequency of forgetting to erase is larger. May be. Alternatively, the determination units 140 and 1140 may be more likely to cause mild dementia or the like as the degree of increase in the frequency of forgetting to erase is greater continuously, steplessly, regardless of the threshold. You may determine with high.

  Further, in the second embodiment, the determination unit 1140 determines that the user A has developed mild dementia or the like when the frequency of forgetting to erase exceeds the second threshold or when the abnormal frequency exceeds the third threshold. The action to be shown is shown. This operation is an example of an operation for determining the possibility that the user A has developed mild dementia or the like based on the frequency of forgetting to erase and the frequency of change, and the higher the frequency of forgetting to delete and the frequency of change, It is an example of the operation | movement which determines with the high possibility that the user A is developing mild dementia etc.

  The determination unit 1140 may determine the possibility that the user A has developed mild dementia or the like based on a certain condition determination related to the frequency of forgetting to turn off and the frequency of change. For example, the determination unit 1140 may determine that the user A has developed mild dementia or the like only when the frequency of forgetting to turn off exceeds a second threshold and the abnormal frequency exceeds a third threshold.

  In addition, for example, the determination unit 1140 determines that the higher the frequency of forgetting to erase, the higher the possibility that the user A has developed mild dementia or the like, and the higher the abnormal frequency, the more the user A detects mild dementia or the like. It is determined that there is a high possibility of developing the disease. The determination unit 1140 averages the possibility of being determined based on the frequency of forgetting to erase and the possibility of being determined based on the abnormal frequency, so that the final possibility that the user A has developed mild dementia or the like Sex may be determined.

  In addition, for example, the determination unit 1140 weights the possibility of determination based on the frequency of forgetting to erase and the possibility of determination based on the frequency of change, and the user A develops mild dementia or the like. The final possibility may be determined. The determination unit 1140 may use a function including a weighting coefficient for determining the final possibility.

  For example, the higher the frequency of forgetting to erase during the period when the user A is healthy, the lower the reliability of the possibility of being determined based on the frequency of forgetting to erase. Therefore, the higher the frequency of forgetting to erase during the period when the user A is healthy, the smaller the weighting (weighting coefficient) for the possibility of determination based on the frequency of forgetting to erase.

  Similarly, the higher the change frequency in the period during which the user A is healthy, the lower the reliability of the possibility of being determined based on the change frequency. Therefore, the weight (weighting coefficient) of the possibility of determination based on the abnormal frequency may be reduced as the abnormal frequency in the period during which the user A is healthy is higher.

  The television 24a is merely an example of an electrical device used by the user A. The electrical device is not limited to the television 24a, and may be a lighting device, an audio device, or other devices.

  In addition, the dementia determination devices 100a and 1100a further determine whether the tap (water tap) of the water tap used by the user A is in a water discharge state or a water stop state using a sensor or the like, and the sleep time of the user A You may determine with the user A having mild dementia etc. when it is in the water discharge state in the belt. When dementia occurs, it is assumed that “forgetting to turn off” the electrical device and forgetting to close the faucet will occur, so the dementia determination devices 100a and 1100a are based on such “forgetting”. Thus, there is a case where it is possible to appropriately determine the possibility that the user A has mild dementia or the like.

  Moreover, although the output part 160 showed in the above-mentioned embodiment that dementia information may be displayed on a display, you may present dementia information by methods other than a display. Here, the presentation of information is to output information so as to be recognized by the human senses. As a presentation method other than display, for example, reproduction of sound related to the content of dementia information (sound output from a speaker or the like), or light emission in the case of dementia information indicating that mild dementia or the like has occurred Or buzzer sound.

  Further, the execution order of the processing procedures (the procedures shown in FIGS. 5 and 11 and the like) in the above-described dementia determination devices 100a, 1100a, etc. is not necessarily limited to the order described above. It is possible to change the execution order or omit a part thereof without departing from the scope of the invention. Further, all or part of the processing procedure (the procedure shown in FIGS. 5 and 11, etc.) may be realized by hardware or may be realized by using software.

  Note that the processing by software is realized by executing a control program stored in the memory 102 by the processor 104 included in the dementia determination devices 100a, 1100a, and the like. Further, the control program may be recorded on a recording medium and distributed or distributed. For example, the distributed control program is installed in the dementia determination apparatuses (computers) 100a, 1100a, etc., and is executed by the processor 104, so that the computer can execute all or part of the processing procedures shown in FIGS. It is possible to make it happen.

  In addition, embodiments realized by arbitrarily combining the constituent elements and functions described in the above-described embodiments are also included in the scope of the present invention. Note that various general or specific aspects of the present invention include one or a plurality of combinations of devices, systems, methods, and the like. Hereinafter, the configuration, modification, effects, and the like of the dementia information output system according to one aspect of the present invention will be described.

  (1) The dementia information output system 10 (or 11) according to one aspect of the present invention includes a measurement unit 110, an acquisition unit 120 (or 1120), a determination unit 170, a determination unit 140 (or 1140), And an output unit 160 (or 220). The measurement unit 110 measures the body movement of the user A. The acquisition unit 120 (or 1120) acquires a measurement result (body movement amount) of body movement, and specifies the sleep time zone of the user A for each day based on the measurement result. The determination unit 170 determines whether or not an electric device (for example, the television 24a) used by the user A is in a power-on state.

  The determination unit 140 (or 1140) determines the frequency of forgetting to turn off, which is the occurrence frequency of the day when the determination unit 170 determines that the electrical device is in the power-on state during the sleep period specified by the acquisition unit 120 (or 1120). Based on this, the possibility that the user A has developed mild dementia is determined. The output unit 160 (or 220) outputs dementia information indicating the possibility of being determined by the determination unit 140 (or 1140).

  Thereby, this dementia information output system 10 (or 11) can output the dementia information which shows the possibility of onset of mild dementia etc., without requiring additional work with respect to daily work. And the possibility that the user A is developing mild dementia etc. may be recognized by confirming the dementia information output.

  (2) For example, the determination unit 140 (or 1140) may determine that the higher the frequency of forgetting to turn off, the higher the possibility that the user A has developed mild dementia.

  Accordingly, the determination unit 140 (or 1140) determines that the possibility that the user A has mild dementia is relatively high when the frequency of forgetting to erase is high compared to the case where the frequency of forgetting to erase is low. can do. Therefore, the determination unit 140 (or 1140) can more appropriately determine the possibility that the user A has developed mild dementia.

  (3) For example, the determination unit 140 (or 1140) may determine the possibility that the user A has developed mild dementia based on the change in the frequency of forgetting to turn off.

  Thereby, the determination part 140 (or 1140) can determine appropriately the possibility that the user A has developed mild dementia based on the change of the state regarding the user A.

  (4) For example, when the forgetting-off frequency increases from the first frequency to the second frequency, the determination unit 140 (or 1140) determines that the user A is milder than when the forgetting-off frequency is maintained at the second frequency. It may be determined that the possibility of developing dementia is high.

  Thereby, when the frequency of forgetting to erase is high due to the personality of the user A regardless of the mild dementia, it is suppressed that the user A is highly likely to develop mild dementia. .

  (5) For example, the determination unit 140 (or 1140) may determine that the user A is more likely to develop mild dementia as the degree of increase in the frequency of forgetting to erase is larger.

  Thereby, the determination unit 140 (or 1140) may cause the user A to develop mild dementia when the degree of increase in the frequency of forgetting to be erased is large compared to the case where the degree of increase in the frequency of forgetting to erase is small. It can be determined that the property is relatively high. Therefore, the determination unit 140 (or 1140) can more appropriately determine the possibility that the user A has developed mild dementia.

  (6) For example, the output unit 160 (or 220) may output the dementia information by presenting the dementia information.

  Thereby, the dementia information output system 10 (or 11) makes it possible to know dementia information related to the possibility of the onset of mild dementia or the like of the user A.

  (7) For example, the output unit 160 may output the dementia information by transmitting the dementia information to the notification device 200. The notification device 200 may be included in the dementia information output system 10 (or 11), or may be located outside the dementia information output system 10 (or 11).

  As a result, the notification device 200 can receive the dementia information and display it, for example. For this reason, using the notification device 200 separated from the device (for example, the dementia determination device 100a) of the dementia information output system 10 (or 11) including the measurement unit 110 or the like, a person concerned, a caregiver, or the like of the user A It becomes possible to grasp the dementia information related to the user A.

  Moreover, it can be recognized that the user A develops mild dementia etc. by confirming the output dementia information. For example, the person concerned and the caregiver of the user A can use the dementia information output by the notification device 200 of the dementia information output system 10 (or 11) without observing the user A in close contact with the user. It becomes possible to recognize that A has developed mild dementia and the like.

  Note that, for example, a doctor or the like can diagnose the detailed state of the user A and take appropriate measures or the like when the dementia information recognizes that mild dementia or the like has occurred. For this diagnosis, the state of the human body (such as the brain) of the user A is examined by various measuring devices (such as a CT scanner) as necessary. As described above, the dementia information output system 10 (or 11) has an effect of outputting dementia information that can be used as an opportunity for diagnosis and implementation of a test by using a device.

  (8) The control program which concerns on 1 aspect of this invention is a control program for making an apparatus (dementia determination apparatus 100a, 1100a) provided with the processor (microprocessor) 104 perform a dementia information output process. This dementia information output processing includes a measurement step (for example, step S11), an acquisition step (for example, step S12), a determination step (for example, step S13), a determination step (for example, steps S14 and S15), and an output step (for example, Step S16).

  In the measurement step, the body movement of the user (subject) is measured. In the acquisition step, a measurement result of body movement is acquired, and a user's sleep time zone is specified for each day based on the measurement result. In the determination step, it is determined whether or not the electric device used by the user is in a power-on state.

  In the determination step, the user develops mild dementia or the like based on the frequency of forgetting to turn off, which is the occurrence frequency of the day determined in the determination step that the electrical device is in the power-on state during the sleep time period specified in the acquisition step. Determine the possibility of In the output step, dementia information indicating the possibility determined in the determination step is output.

  By installing this control program in a dementia determination apparatus (computer) and causing the processor 104 to execute it, dementia information indicating that the user may develop mild dementia or the like can be output.

10, 11 Dementia information output system 24a-24c Television (electric equipment)
104 processor (microprocessor)
110 Measurement Unit 120, 1120 Acquisition Unit 140, 1140 Determination Unit 160, 220 Output Unit 170 Discrimination Unit 200 Notification Device A to C User

Claims (8)

A measurement unit for measuring a user's body movement;
An acquisition unit that acquires a measurement result of the body movement, and specifies a sleep time zone of the user for each day based on the measurement result;
A determination unit for determining whether or not the electric equipment used by the user is in a power-on state;
Based on the frequency of forgetting to turn off, which is the frequency of occurrence of the day when the electrical device is in a power-on state during the sleep time period specified by the acquisition unit, the user may have mild dementia, etc. A determination unit for determining the possibility of developing;
A dementia information output system comprising: an output unit that outputs dementia information indicating the possibility determined by the determination unit. The dementia information output system according to claim 1, wherein the determination unit determines that the possibility is higher as the frequency of forgetting to erase is higher. The dementia information output system according to claim 1, wherein the determination unit determines the possibility based on a change in the frequency of forgetting to turn off. The determination unit determines that the possibility is higher when the forgetting-off frequency increases from a first frequency to a second frequency than when the forgetting-off frequency is maintained at the second frequency. 3. The dementia information output system according to 3. The dementia information output system according to claim 3 or 4, wherein the determination unit determines that the possibility is higher as the degree of increase in the frequency of forgetting to erase is larger. The dementia information output system according to claim 1, wherein the output unit outputs the dementia information by presenting the dementia information. The dementia information output system according to claim 1, wherein the output unit outputs the dementia information by transmitting the dementia information to a notification device. A control program for causing a device including a microprocessor to execute dementia information output processing,
The dementia information output process is:
A measurement step for measuring a user's body movement;
An acquisition step of acquiring the measurement result of the body movement and specifying the sleep time zone of the user for each day based on the measurement result;
A determination step of determining whether or not the electrical equipment used by the user is in a power-on state;
Based on the frequency of forgetting to turn off, which is the frequency of occurrence of the day determined in the determination step that the electrical device is in a power-on state in the sleep time period specified in the acquisition step, the user has mild dementia, etc. A determination step for determining the possibility of developing;
An output step of outputting dementia information indicating the possibility determined in the determination step.

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