JP6627047B1 - Sleeping support device - Google Patents

Abstract

The sleeping support device includes a first sensor having a first collection unit that collects first data indicating a vital sign of the baby, and the vital data of the baby held by a caregiver based on the first data. A detection unit that detects whether the signature satisfies a first condition; a generation unit that generates first information regarding timing to lay the baby when the satisfaction of the first condition is detected; And an output device for outputting the obtained first information to the caregiver.

Description

  The present invention relates to a bedkeeping support device.

  A system that proposes a behavior program for improving the quality of sleep of a child according to the sleep behavior of the child in bed has been disclosed (see Patent Document 1).

Japanese Patent Application Laid-Open No. 2011-19909

  According to the technology disclosed in Patent Literature 1, there is a problem in that when a baby who falls asleep while lying in bed with a caregiver is lying on the bed, the baby may be awake.

According to a first aspect of the present invention, a bedkeeping support device includes a first sensor having a first collection unit that collects first data indicating an electroencephalogram of an infant, and a caregiver based on the first data. Whether at least one of a plurality of components having different frequencies included in the brain wave of the infant intervened in the brain wave satisfies the first condition in accordance with the duration of a state in which the ratio occupying the brain wave is a predetermined ratio A detection unit for detecting whether or not the first condition is satisfied, a generation unit for generating first information relating to a timing at which the infant lays down, and And an electronic device having an output device for outputting to a user.
According to a second aspect of the present invention, in the bedkeeping support device according to the first aspect, the electronic device is configured to perform the electronic device based on the second data indicating a result of the caregiver lying down on the baby and the first data. It is preferable to further include a setting unit for setting the first condition.
According to a third aspect of the present invention, in the bedkeeping support device according to the second aspect, the first data, the second data, and the third data for identifying the caregiver or the baby are included. It is preferable that the information processing apparatus further includes an information processing device including an acquisition unit that acquires second information from the electronic device and a determination unit that determines the first condition based on the second information. The setting unit sets the first condition determined by the determining unit.
According to a fourth aspect of the present invention, in the bedkeeping support device of the second or third aspect, the electronic device further has an input interface for the caregiver to input the result, and It is preferable that the generation unit generates the second data based on the result input via the input interface.
According to a fifth aspect of the present invention, in the bedkeeping support device according to the second or third aspect, the electronic device may be configured such that the first data, the state of the first sensor, and the first sensor The electronic device further includes a determination unit configured to determine whether the brain wave of the lying baby satisfies a second condition based on at least one of the detection contents of the different second sensors. Preferably, the generating unit generates the second data indicating the result based on the determination.
According to a sixth aspect of the present invention, in the bedkeeping assistance device according to the fifth aspect, the second sensor collects fourth data indicating a state relating to the attitude of the caregiver or the baby. It preferably has a part. The detecting unit detects a state change from a state in which the baby is held by the caregiver to a state in which the baby is lying, based on the fourth data. When the state change is detected, the determination unit starts the determination.

  ADVANTAGE OF THE INVENTION According to this invention, when the infant who fell asleep in the state which a caregiver is taking care of lies on a bed, the effect that the possibility that the infant awakens is reduced.

FIG. 1 is a diagram showing a configuration of a bedkeeping support device according to the first embodiment of the present invention. FIG. 2 is a diagram illustrating a state in which a caregiver lays an infant wearing a brain wave sensor on a bed. FIG. 3 is a schematic diagram showing examples of brain waves at the time of awakening, at the time of light sleep, and at the time of deep sleep. FIG. 4 is a diagram illustrating an example of the output of the sleep timing information regarding the sleep timing in the electronic device. FIG. 5 is a diagram illustrating an example of the history data of the sleeping execution result. FIG. 6 is a diagram illustrating an example of a bedkeeping support process performed by running a computer program in an electronic device. FIG. 7 is a diagram illustrating a configuration of a bedkeeping support device according to the second embodiment of the present invention. FIG. 8 is a diagram illustrating an example of a bedkeeping support process performed by running a computer program in an electronic device and an information processing apparatus. FIG. 9 is a diagram illustrating a configuration of a bedkeeping support device according to the third embodiment of the present invention. FIG. 10 is a diagram illustrating an example of a bedkeeping support process performed by executing a computer program in an electronic device. FIG. 11 is a diagram illustrating an example of the output of the notification information relating to the result of the bedridden execution. FIG. 12 is a diagram illustrating an example of a product supply mode of a computer program running on an electronic device and / or an information processing device.

  When trying to bring the baby to sleep, the infant caregiver usually does not lay the baby before falling asleep, but instead checks that the baby has fallen asleep with the baby, and then takes the baby to sleep. Lie on the bed. However, there are many cases in which the infant falls asleep while lying in bed with the caregiver, and the infant awakens and begins to cry. May be repeated many times. The bedkeeping support device according to each of the embodiments of the present invention described below reduces the possibility that bedkeeping will fail, and supports efficient bedkeeping.

-1st Embodiment-
A bedkeeping support device 1 according to the first embodiment of the present invention will be described with reference to FIGS.

  FIG. 1 is a diagram illustrating a configuration of a bedkeeping support device 1 according to the first embodiment. In FIG. 1A, the bed rest support apparatus 1 includes an electroencephalogram sensor 5 and an electronic device 10, and the electroencephalogram sensor 5 is connected to the electronic device 10 via wireless communication such as Bluetooth (registered trademark). The electronic device 10 is, for example, a mobile terminal such as a mobile phone or a tablet computer, and may be a dedicated terminal or a general-purpose terminal.

  As shown in FIG. 1B, the electroencephalogram sensor 5 includes a processor 6, a memory 7, and a communication module 8. When the processor 6 activates the computer program stored in the memory 7, the processor 6 logically includes an electroencephalogram data collection unit 61 that collects an electroencephalogram of a human wearing the electroencephalogram sensor 5, and the communication module 8 The operation is controlled and the collected brain waves are transmitted to the electronic device 10. That is, the electroencephalogram data collection unit 61 collects electroencephalogram data of an infant wearing the electroencephalogram sensor 5 and transmits the collected electroencephalogram data to the electronic device 10 via the communication module 8.

  As shown in FIG. 1C, the electronic device 10 has a processor 11, a memory 12, an input interface 13, an output device 14, and a communication module 15. The processor 11 controls operations of the input interface 13, the output device 14, and the communication module 15 by activating a computer program stored in the memory 12. The input interface 13 is, for example, a touch panel and has a screen input function. When the user uses the screen input function, the screen input information is input to the input interface 13 as data indicating a sleeping execution result described later. The output device 14 is, for example, a display and / or a touch panel, and has a screen output function. The communication module 15 receives the electroencephalogram data transmitted from the electroencephalogram sensor 5 to the electronic device 10.

  The processor 11 of the electronic device 10 logically has an acquisition / transmission unit 111, a detection unit 112, a generation unit 113, and a setting unit 114 by activating a computer program stored in the memory 12. The acquisition / transmission unit 111 acquires brain wave data from the brain wave sensor 5 received by the communication module 15. The detection unit 112 detects whether or not the brain wave satisfies a sleep execution condition described later based on the acquired brain wave data. The generation unit 113 generates, as will be described later, bedtime timing information regarding the bedtime that is output to the output device 14, and result data indicating the result of the rearing of the infant 2 by the caregiver 3, that is, the result of the bedtime execution. The setting unit 114 sets or resets the bedkeeping execution condition based on the electroencephalogram data and data indicating the bedkeeping execution result, as described later.

  FIG. 2 is a diagram illustrating a state in which the caregiver 3 lays the baby 2 wearing the electroencephalogram sensor 5 on the bed 4. When the caregiver 3 tries to bring the infant 2 to sleep, the infant 2 falls asleep while being held by the caregiver 3 as shown in FIG. 2A, and as shown in FIG. The user may try to lie down on the bed 4 while leaning. If the infant 2 is not awake even after lying on the bed 4, the baby 2 is successfully laid down.

  However, when the infant 2 lies on the bed 4 or leans in front of it, the infant 2 may awaken against the expectation of the caregiver 3 and start crying. In such a case, the sleeping is failed, and the sleeping must be re-executed from the state in which the infant 2 is held by the caregiver 3 as shown in FIG. It is conceivable that the baby 2 may fail to sleep again, and it may be necessary to repeat the sleep. The bedkeeping support device 1 in the present embodiment detects a timing at which there is a high possibility of succeeding in bedkeeping based on the electroencephalogram data of the baby 2 collected by the brain wave sensor 5, and lays the baby 2 on the bed 4 at that timing. This reduces the possibility that the infant 2 fails to sleep and repeats the sleep.

  FIG. 3 is a schematic diagram showing examples of brain waves 51, 52, and 53 during awake, light sleep, and deep sleep. In this schematic diagram, the vertical axis represents potential, and the horizontal axis represents time. Generally, the brain waves 51 at the time of awakening of a human are mainly composed of α waves and β waves, but as shown in FIG. 3, the brain waves 52 at the time of light sleep during the sleep onset stage have a higher frequency than the brain waves 51 at the time of awakening. Contains many small components. As shown in FIG. 3 as brain waves 53 during deep sleep, as the sleep becomes deeper, the ratio of δ waves having a lower frequency and a larger potential amplitude than α waves and β waves increases. Therefore, for example, the sleep depth of the infant 2 can be identified based on the brain wave data of the infant 2 collected by the brain wave sensor 5.

  It is considered that there is a certain relationship between the depth of sleep of the infant 2 and the success or failure of the sleeping. Therefore, when the baby 2 is successfully laid, the condition of the electroencephalogram data in which the result of the successful laying is easily obtained is set as the wake-up execution condition C1 based on the brain wave data of the baby 2 collected by the electroencephalogram sensor 5 so far. For example, the electronic device 10 can output to the caregiver 3 information relating to the timing at which the infant 2 is laid on the bed 4 when the sleep execution condition C1 is satisfied.

  FIG. 4 is a diagram illustrating an example of the output of the sleep timing information regarding the sleep timing in the electronic device 10. Specifically, an example is shown in which the output device 14 of the electronic device 10 is a display and the input interface 13 is a touch panel. On screen 140, messages 141 and 142 are displayed, and areas 131, 132, and 133 to be touched as a touch panel are displayed. In the example shown in FIG. 4, a message 141 indicating that “it is more than 50% that there is a possibility of succeeding in the bedtime now” is output on the screen as bedtime timing information regarding the bedtime timing.

  In FIG. 4, below the message 141, a message 142 indicating “sleeping execution result” is output on the screen, and further below the area 141, an area 131 described as “success”, an area 132 described as “failure”, and “ An area 133 with "Cancel" is displayed. If the caregiver 3 who has visually recognized the message 141 succeeds in lying down and laying down the baby 2, the caregiver 3 touches the area 131 in which "success" is described, thereby indicating that the result of lying down the baby 2 is successful. Enter If failing to lay down the infant 2 by performing the laying down, the caregiver 3 inputs that the result of the lying down of the infant 2 is a failure by touching the area 132 described as “failure”. When the sleeping is not performed, the caregiver 3 inputs that the result of laying down the baby 2 is undetermined by touching the area 133 described as “cancel”.

  When the result of the caregiver 3 laying down the baby 2, that is, the input of the sleeping execution result is detected, the result data indicating the result is generated, and based on the generated result data, the result of the sleeping success is obtained. A sleep execution condition C1 is set as a condition of easy brain wave data. However, if the sleeping condition C1 has already been set, it is reset by overwriting, or the existing setting is retained without being reset. Sleeping execution condition C1 is determined based on, for example, a history of past sleeping execution results of a plurality of times. A specific example will be described with reference to FIG.

  FIG. 5 is a diagram illustrating an example of the history data 55 of the sleeping execution result. In FIG. 5A and FIG. 5B, the history data 55 of the bedridden execution result includes the bedridden execution result for the infant 2 corresponding to the identifier X, and the brain wave data of the infant 2 corresponding to the bedridden. The identifier data for identifying the person 3 and / or the infant 2 is described in descending order from the top. In the history data 55 of the sleep execution result shown in FIG. 5A, the result of the latest sleep execution for the baby 2 corresponding to the identifier X is “successful when the δ wave occupies 45% of the whole brain wave for one minute”. Is recorded. As the second new sleeping result, a history of “failure when δ wave occupies 45% of the whole brain wave for 30 seconds” is recorded. As a third new sleeping result, a history of “failure when δ wave occupies 45% of the whole brain wave for 40 seconds” is recorded. As the fourth new sleeping result, a history of "successful when the delta wave occupies 45% of the whole brain wave for 50 seconds" is recorded.

  As shown in FIG. 5A, based on history data 55 including the history of the results of the past four times of laying down the infant 2 corresponding to the identifier X and the brain wave data corresponding to each of the results. The sleeping condition C1 can be determined as follows. According to the history data 55 of the results of the past four sleeping runs illustrated in FIG. 5A, the δ wave occupies 45% of the whole brain wave in any of the execution results, and the state is the same. Are different from each other in the time T1. When the time T1 is 30 seconds and 40 seconds, the caregiver 3 has failed to lay down and lay down the baby 2 corresponding to the identifier X. When the time T1 is 50 seconds and 1 minute, the caregiver 3 has successfully laid down and laid down the baby 2 corresponding to the identifier X.

  Therefore, when the time T1 is 45 seconds, that is, when the δ wave occupies 45% of the whole electroencephalogram collected from the infant 2 corresponding to the identifier X for 45 seconds, the caregiver 3 executes the sleeping and the infant 2 Is estimated to be 50% likely to succeed. Based on this estimation, the time T1 has already exceeded 45 seconds when the message 141 shown in FIG. 4 is output on the screen, so it is considered that the possibility of success has reached 50% or more. For example, if the sleep-start execution condition C1 is determined such that the sleep-start execution condition C1 is satisfied when the success probability is 50% or more, the sleep-start execution condition information is generated, and the message 141 shown in FIG. 4 is output to the screen. You. The message 141 states that "it is now more than 50% that there is a possibility of succeeding in sleeping and running."

  As another example different from FIG. 5A, the history data 55 of the bed resting execution result shown in FIG. 5B includes “1 minute, δ wave” as the most recent bed resting execution result for the infant 2 corresponding to the identifier X. Succeeds when it occupies 50% of the whole EEG ". As a second new sleeping result, a history of "successful when the delta wave occupies 40% of the whole brain wave for one minute" is recorded. As the third new sleeping result, a history of "failure when the delta wave occupies 20% of the whole brain wave for one minute" is recorded. As the fourth new sleeping result, a history of "failure when δ wave occupies 30% of the whole brain wave for one minute" is recorded.

  As shown in FIG. 5B, based on history data 55 including the history data of the results of the past four times of laying down the infant 2 corresponding to the identifier X and the brain wave data corresponding to each of the results. The sleeping condition C1 can be determined as follows. According to the history data 55 of the results of the four past sleep runs illustrated in FIG. 5B, in any of the execution results, the δ wave occupies a certain ratio R1 of the whole brain wave for one minute. , The ratio R1 is different. When the ratio R1 is 20% and 30%, the caregiver 3 has failed to perform the sleeping and lay down the baby 2 corresponding to the identifier X. When the ratio R1 is 40% and 50%, the caregiver 3 has succeeded in lying down and laying down the baby 2 corresponding to the identifier X.

  Therefore, when the ratio R1 is 35%, that is, when the δ wave occupies 35% of the entire electroencephalogram collected from the infant 2 corresponding to the identifier X for one minute, the caregiver 3 executes the sleeping and the infant 2 Is estimated to be 50% likely to succeed. Based on this estimation, when the message 141 shown in FIG. 4 is output on the screen, the infant 2 sleeps further and the ratio R1 exceeds 35%, so that the possibility of success reaches 50% or more. It is thought that it is. For example, if the sleep-start execution condition C1 is determined such that the sleep-start execution condition C1 is satisfied when the success probability is 50% or more, the sleep-start execution condition information is generated, and the message 141 shown in FIG. 4 is output to the screen. You. In the message 141, it is described that "it is more than 50% that the possibility of succeeding in the sleeping operation is now obtained".

  FIG. 6 is a diagram exemplifying the sleeping support process performed by running the computer program in the electronic device 10. The processor 11 of the electronic device 10 activates a computer program stored in the memory 12 and executes the processing illustrated in FIG. 6 to obtain the acquisition / transmission unit 111, the detection unit 112, the generation unit 113, It functions as the unit 114.

  When the sleeping support process is started, the acquisition / transmission unit 111 acquires the brain wave data of the baby 2 from the brain wave sensor 5 via the communication module 15 in step S610. In step S620, the detection unit 112 detects whether or not the acquired brain wave data of the baby 2 satisfies the sleep execution condition C1. The sleeping condition C1 corresponds to the condition of the electroencephalogram data of the baby 2 in which the result of the baby 2 being successfully laid is easily obtained. When an affirmative determination is made in step S610, the processor 11 advances the sleeping support process to step S630. When a negative determination is made in step S610, the processor 11 returns the sleeping support process to step S610.

  In step S630, the generation unit 113 generates information on the timing of the laying, that is, the information on the timing of the laying down of the infant 2 on the bed 4 by the caregiver 3. In step S640, the generation unit 113 outputs the sleeping timing information generated in step S630. For example, a message 141 shown in FIG. 4 is generated by the generation unit 113 as the sleeping timing information regarding the timing at which the caregiver 3 lays the baby 2 on the bed 4, and is output to the screen 140 of the output device 14.

  In step S650, when the caregiver 3 touches the area 131, 132, or 133 displayed on the screen 140 to input the result of the caregiver 3 lying down the baby 2, the detection unit 112 performs the input. To detect. In step S660, the generation unit 113 generates result data indicating the result of the rearing of the infant 2 by the caregiver 3 input in step S650. In step S670, the setting unit 114 sets or resets the bedridden execution condition C1 based on the result data indicating the bedridden execution result for the baby 2 generated in step S660 and the brain wave data of the infant 2 corresponding thereto. . The details of the setting example of the sleeping condition C1 are as described with reference to FIG. When the process in step S670 is completed, the sleeping support process ends. Note that the bed resting support process shown in FIG. 6 may be repeatedly performed while the infant 2 is wearing the electroencephalogram sensor 5, such that the process is restarted if brain wave data can be acquired after the end.

  According to the bed keeping support device 1 in the present embodiment, the following operational effects can be obtained.

(1) The sleeping support device 1 includes an electroencephalogram sensor 5 and an electronic device 10. The electroencephalogram sensor 5 includes a processor 6 including an electroencephalogram data collection unit 61 that collects electroencephalogram data indicating the electroencephalograms 51, 52 and / or 53 of the infant 2. The electronic device 10 includes a processor 11 including a detection unit 112 and a generation unit 113, and an output device 14. Based on the electroencephalogram data, the detection unit 112 detects whether or not the electroencephalogram of the baby 2 intervened by the caregiver 3 satisfies the sleep execution condition C1. When the stagnation execution condition C1 is satisfied, the generation unit 113 generates the message 141 as the stagnation timing information related to the timing at which the infant 2 is laid down. The output device 14 outputs the generated message 141 to the caregiver 3 on the screen 140. Therefore, the sleeping support device 1 has an effect of reducing the possibility that the infant 2 awakes when the infant 2 who falls asleep while lying on the bed 4 while the caregiver 3 is intervening.

(2) The processor 11 of the electronic device 10 included in the bedkeeping support apparatus 1 further includes a setting unit 114 that sets the bedkeeping execution condition C1 based on the result data indicating the result of the rearing of the infant 2 and the brain wave data. . Therefore, in the bedkeeping support device 1, there is an effect that the accuracy of the bedkeeping execution condition C1 can be improved.

(3) The electronic device 10 included in the bedkeeping support device 1 further has an input interface 13 for the caregiver 2 to input a result of the caregiver 2 laying down the baby 2. The generation unit 113 included in the processor 11 of the electronic device 10 generates result data based on the result input via the input interface 13. Therefore, in the bed-keeping support device 1, result data reflecting that the caregiver 3 himself has succeeded in bed-keeping is obtained, and the effect of the bed-keeping execution condition C1 can be improved.

-2nd Embodiment-
A bedkeeping support device 1 according to a second embodiment of the present invention will be described with reference to FIGS. 7 and 8. However, description of contents common to the first embodiment is omitted.

  FIG. 7 is a diagram illustrating a configuration of the bedkeeping support device 1 according to the second embodiment of the present invention. 7A, the bed rest support apparatus 1 includes an electroencephalogram sensor 5, an electronic device 10, and an information processing device 20, and the electronic device 10 and the information processing device 20 are connected to each other via a communication network 30. . The communication module 15 of the electronic device 10 further has a wireless communication function or a wired communication function for connecting the electronic device 10 and the information processing device 20 to each other via the communication network 30. The acquisition / transmission unit 111 included in the processor 11 of the electronic device 10 also performs a process of transmitting individual information described later to the information processing device 20 via the communication module 15, and further transmits setting information described later to the information processing device 20. The process to acquire from is also performed.

  As shown in FIG. 7B, the information processing apparatus 20 is, for example, a large-capacity server computer, and includes a processor 21, a memory 22, and a communication module 23. The information processing device 20 has a built-in storage device (not shown) or is externally connected. The processor 21 controls the operation of the communication module 23, the writing of information to the storage device, and the reading of information from the storage device by activating the computer program stored in the memory 22. It functions as the sending unit 211 and the determining unit 212. The communication module 23 has a wireless communication function or a wired communication function for connecting the information processing device 20 and the electronic device 10 to each other via the communication network 30. The processor 21 writes information including acquired acquired electroencephalogram data, data indicating a result, and identification data to the storage device, and reads the written information from the storage device.

  FIG. 8 is a diagram exemplifying the sleeping support process performed by running the computer program in the electronic device 10 and the information processing device 20. The processor 11 of the electronic device 10 activates the computer program stored in the memory 12, and executes the processes of steps S810, S850, and S860 from steps S610 to S660 shown in FIG. It functions as a sending unit 111, a detecting unit 112, a generating unit 113, and a setting unit 114. The processor 21 of the information processing device 20 activates the computer program stored in the memory 22 and executes the processing from step S820 to step S840 shown in FIG. Function.

  The bedkeeping support process executed in the present embodiment has some processing steps in common with the bedkeeping support process executed in the first embodiment. In FIG. 8, as compared with FIG. 6, the processing from step S610 to step S660 is common, and subsequent to the processing, the electronic device 10 and the information processing apparatus 20 perform steps S810, S850, and S860, respectively. And the processing from step S820 to step S840 are executed.

  When the sleeping support process is started by the electronic device 10, the processes from step S610 to step S660 are performed as in the first embodiment. In step S810 after step S660, the acquisition / transmission unit 111 included in the processor 11 of the electronic device 10 outputs the brain wave data of the infant 2 acquired in step S610 and the sleep execution result for the infant 2 generated in step S660. Is transmitted to the information processing device 20 via the communication module 15 including the result data indicating the information and the identifier data for identifying the caregiver 3 and / or the infant 2. Then, the sleeping support process is also started in the information processing device 20. In step S820, the acquisition / transmission unit 211 included in the processor 21 of the information processing device 20 outputs the individual information transmitted from the electronic device 10 in step S810. Obtained via the communication module 23.

  In step S830, the determination unit 212 included in the processor 21 of the information processing device 20 determines the result data indicating the result of the laying down on the infant 2 specified by the identifier data included in the individual information acquired in step S820, The sleeping condition C1 is determined based on the electroencephalogram data of the infant 2 to be laid. The example of determining the sleeping condition C1 is the same as the example shown in FIG. In step S840, the acquisition / transmission unit 211 included in the processor 21 of the information processing device 20 transmits the setting information regarding the sleeping condition C1 determined in step S830 to the electronic device 10 via the communication module 23. When the process in step S860 is completed, the sleeping support process in the information processing device 20 ends.

  In step S850, the acquisition / transmission unit 111 included in the processor 11 of the electronic device 10 acquires, via the communication module 15, the setting information related to the sleeping condition C1 transmitted in step S840. In step S860, the setting unit 114 included in the processor 11 of the electronic device 10 sets or resets the sleeping condition C1 based on the setting information acquired in step S850. When the process in step S860 is completed, the sleeping support process in electronic device 10 ends. Note that the bed resting support process shown in FIG. 8 may be repeated at all times while the infant 2 is wearing the electroencephalogram sensor 5 such that the electroencephalogram sensor 5 is restarted if electroencephalogram data can be acquired after the end.

  According to the sleeping support device 1 in the present embodiment, in addition to the same effects (1), (2) and (3) as obtained in the first embodiment, the following effects (4) are further obtained. Is obtained.

(4) The sleeping support device 1 further includes an information processing device 20 in addition to the brain wave sensor 5 and the electronic device 10. The processor 21 of the information processing device 20 includes an acquisition / transmission unit 211 and a determination unit 212. The acquisition / transmission unit 211 converts the individual information including the electroencephalogram data of the infant 2, the result data indicating the execution result of the laying down on the infant 2, and the identifier data for identifying the caregiver 3 and / or the infant 2 into the electronic device. Obtained from 10. The determining unit 212 determines the sleeping condition C1 based on the individual information. The information processing device 20 can implement even a machine learning algorithm that is sophisticated enough to be hardly built in the electronic device 10. Therefore, the electronic device 10 has an effect that it is possible to set the sleeping condition C1 determined through, for example, such an advanced machine learning algorithm.

-Third embodiment-
A bedkeeping support device 1 according to the third embodiment of the present invention will be described with reference to FIGS. 9, 10, and 11. FIG. However, description of contents common to the first embodiment is omitted.

  FIG. 9 is a diagram illustrating a configuration of the bedkeeping support device 1 according to the third embodiment of the present invention. FIG. 9A illustrates a state in which the caregiver 3 lays the baby 2 wearing the posture sensor 9 in addition to the brain wave sensor 5 on the bed 4. Since the posture of the infant 2 changes when the infant 2 is brought into a lying state by lying down, the posture of the infant 2 is transmitted from the posture sensor 9 to the electronic device 10. It is possible to detect the state change based on the posture data. Therefore, if the brain wave data of the infant 2 during a certain period from the time when the state change is detected indicates that the infant 2 is not awake, it is possible to determine that the baby 2 has been successfully awakened. It is not necessary to input the result of lying down.

  As shown in FIG. 9B, the sleeping support device 1 includes an electroencephalogram sensor 5, an electronic device 10, and a posture sensor 9. The posture sensor includes, for example, a tilt sensor, an acceleration sensor, and / or an angular velocity sensor, and is connected to the electronic device 10 via wireless communication such as Bluetooth.

  As shown in FIG. 9C, the attitude sensor 9 has a processor 91, a memory 95, and a communication module 96. When the processor 91 activates the computer program stored in the memory 95, the processor 91 logically has a posture data collection unit 92 that collects posture data on the posture of a person wearing the posture sensor 9, and performs communication. The collected attitude data is transmitted to the electronic device 10 by controlling the operation of the module 96. That is, the posture data collection unit 92 collects posture data of the baby 2 wearing the posture sensor 9 and transmits the collected posture data to the electronic device 10 via the communication module 96.

  As shown in FIG. 9D, the electronic device 10 includes a processor 11, a memory 12, an output device 14, and a communication module 15 as in FIG. 1C, but does not necessarily include the input interface 13. May be. The communication module 15 receives the brain wave data transmitted from the brain wave sensor 5 to the electronic device 10 and receives the posture data transmitted from the posture sensor 9 to the electronic device 10.

  The processor 11 of the electronic device 10 activates the computer program stored in the memory 12, and in addition to the acquisition / transmission unit 111, the detection unit 112, the generation unit 113, and the setting unit 114, further determines A unit 115 is logically provided. The acquisition / transmission unit 111 acquires the brain wave data as well as the posture data from the posture sensor 9 received by the communication module 15 as in the first embodiment. The detection unit 112 detects whether or not the electroencephalogram satisfies the sleeping execution condition C1 as in the first embodiment, and also determines whether there is a state change from the state in which the baby 2 is interposed to the state in which the baby 2 is lying down due to the sleeping. Is also detected.

  After the state change is detected, the determination unit 115 determines whether or not the brain wave satisfies the bedridden success determination condition described later based on the brain wave data acquired by the acquisition / transmission unit 111. Is determined based on the result. The generation unit 113 generates the laying timing information and the result data indicating the laying execution result in the same manner as in the first embodiment, generates notification information on the laying execution result, and outputs the notification information.

  FIG. 10 is a diagram exemplifying the sleeping support process performed by executing the computer program in the electronic device 10. The processor 11 of the electronic device 10 activates a computer program stored in the memory 12 and executes the processing illustrated in FIG. 10 to obtain the acquisition / transmission unit 111, the detection unit 112, the generation unit 113, It functions as the unit 114 and the determination unit 115.

  The bedkeeping support process executed in the present embodiment has some processing steps in common with the bedkeeping support process executed in the first embodiment. In FIG. 10, as compared with FIG. 6, the processes from step S610 to step S640 are common to steps S660 and S670, and the processes from step S1010 to step S1060 are executed instead of step S650. .

  When the sleeping support process is started, the processes from step S610 to step S640 are performed as in the first embodiment. In step S1010 after step S640, the acquisition / transmission unit 111 acquires the posture data on the posture of the baby 2 from the posture sensor 9 via the communication module 15. In step S1020, based on the posture data acquired in step S1010, the detection unit 112 detects whether there is a state change from the state in which the baby 2 is carried to the state in which the baby 2 is lying down by lying down. If an affirmative determination is made in step S1020, the processor 11 advances this sleeping support process to step S1030. If a negative determination is made in step S1020, the processor 11 returns the sleeping support process to step S610.

  In step S1030, the acquisition / transmission unit 111 acquires the brain wave data of the infant 2 from the brain wave sensor 5 via the communication module 15. In step S1040, the determination unit 115 determines whether or not the electroencephalogram satisfies the bedridden success determination condition C2 based on the electroencephalogram data acquired in step S1030. For example, the bedridden success determination condition C2 is such that brain waves indicating that the infant 2 is awake are collected during a period from the detection of the above-described state change relating to the posture of the infant 2 until a predetermined time T1 has elapsed. Time is less than the predetermined time T2. The predetermined time T1 is, for example, 5 minutes, and the shorter predetermined time T2 is, for example, 10 seconds. When the determining unit 115 determines that the electroencephalogram satisfies the sleeping success determination condition C2, the sleeping result of the infant 2, that is, the result of the caregiver 3 lying down the infant 2 is determined to be successful, and the electroencephalography determines success of the sleeping. When it is determined that the condition C2 is not satisfied, it is determined that the sleeping result of the infant 2 is unsuccessful.

  In step S1050, the generation unit 113 generates notification information to the caregiver 3 regarding the result of the caregiver 3 laying down the baby 2. In step S1060, the generation unit 113 outputs the notification information generated in step S1050 to the output device 14. After the processing of step S1060 is completed, the processing of steps S660 and S670 is performed as in the first embodiment. When the process in step S670 is completed, the sleeping support process ends. Note that the bed resting support process shown in FIG. 10 may be repeated at all times while the infant 2 is wearing the electroencephalogram sensor 5 such that the brain wave data can be acquired after the end, and the process is started again.

  As described above, in step S1060 of FIG. 10, the result of the rearing of the infant 2 by the rearing infant 3, that is, the notification information to the rearing parent 3 regarding the execution result of the infant 2 being put down is output to the output device 14 of the electronic device 10. . In this regard, FIG. 11 is a diagram exemplifying the output of the notification information relating to the sleeping result. In FIG. 11, the output device 14 is a display, and a message 143 is displayed on a screen 140 of the output device 14. In the example shown in FIG. 11, a message 143 “Succeeded in bed” is output on the screen as notification information on the bedkeeping execution result, and this screen output notifies the caregiver 3 that the bedridden execution result is successful.

  According to the sleeping support device 1 of the present embodiment, the following operation and effect (5) can be obtained in addition to the operation and effects (1) and (2) similar to those obtained in the first embodiment.

(5) The processor 11 of the electronic device 10 included in the sleeping support device 1 further includes a determination unit 115. The determination unit 115 makes a determination as to whether or not the brain wave of the baby 2 lying down satisfies the bedridden success determination condition C2 based on the brain wave data. The generation unit 113 included in the processor 11 of the electronic device 10 generates result data indicating the result of the caregiver 3 lying down on the baby 2 based on the determination made by the determination unit 115. Therefore, in the bedkeeping support device 1, the electronic device 10 automatically determines the bedkeeping execution result of the baby 2 without the caregiver 3 determining the result, so that an effect of high convenience is obtained.

(6) The bed keeping support device 1 further includes a posture sensor 9. The posture sensor 9 has a posture data collection unit 92 that collects posture data indicating a state related to the posture of the baby 2. The detection unit 112 included in the processor 11 of the electronic device 10 detects a state change from a state in which the baby 2 is held by the caregiver 3 to a state in which the baby 2 is lying, based on the posture data. When this state change is detected, the determination unit 115 included in the processor 11 of the electronic device 10 starts determination as to whether or not the brain wave of the lying infant 2 satisfies the sleeping success determination condition C2. Therefore, in the littering support device 1, the erroneous processing of starting the littering success determination in a state in which the baby 2 is still held by the caregiver 3 is reduced, and the accuracy of the littering success determination condition C2 can be improved. Occurs.

  Note that the computer program that runs on the electronic device 10 and / or the information processing device 20 included in the bedkeeping support device 1 according to the first, second, and third embodiments is a CD. -It can be provided to the electronic device 10 and / or the information processing device 20 through a data signal flowing through a recording medium 45 such as a ROM or a USB memory, or a communication network 30 such as the Internet. FIG. 12 is a diagram illustrating this state, that is, a diagram illustrating a product supply mode of a computer program running on the electronic device 10 and / or the information processing device 20.

  The electronic device 10 and / or the information processing device 20 receive the computer program via the recording medium 45. The electronic device 10 and the information processing device 20 have a function of connecting to the communication network 30 via the communication module 15 and the communication module 23, respectively. The computer program providing server 40 is a server computer that provides the computer program, and stores the program in a recording medium 410 such as a hard disk. The communication network 30 is the Internet, a wireless LAN, a telephone network, a dedicated line, or the like. The computer program providing server 40 reads the program using the recording medium 410, and transmits the computer program to the electronic device 10 and / or the information processing device 20 via the communication network 30. That is, the computer program is loaded on a carrier wave as a data signal and transmitted via the communication network 30. As described above, the computer program can be supplied as a computer-readable computer program product in various forms such as a recording medium and a data signal (carrier wave).

  The following modifications are also within the scope of the present invention, and one or more of the modifications can be combined with the above-described embodiment.

(Modification 1) In each of the above-described embodiments, the bed resting execution condition C1 is determined based on, for example, the history data 55 of the past several times of bed resting execution results. In the past multiple history data 55 illustrated in FIG. 5A, the time T1 during which the state in which the δ wave occupies 45% of the whole brain wave is different is different. In the past multiple history data 55 illustrated in FIG. 5B, the ratio R1 of the δ wave to the whole brain wave for one minute is different. However, the bedkeeping execution condition C1 may be determined based on a plurality of past history data 55 in which both the time T1 and the ratio R1 are different. For example, the bedkeeping execution condition C1 is defined as “possibility of succeeding bedkeeping execution P1% when the state in which the δ wave occupies the ratio R1 of the whole brain wave continues for the time T1”. Furthermore, the sleeping condition C1 may be determined based on the ratio of the brain waves of other frequencies, such as the β wave and the θ wave, instead of the δ wave, to the entire brain wave.

(Modification 2) In the above-described third embodiment, the bedridden success determination condition C2 is such that the infant 2 is awake before the predetermined time T1 elapses after the state change relating to the posture of the infant 2 is detected. It is determined that the time during which the electroencephalogram indicating that the operation is performed is less than the predetermined time T2. The predetermined time T1 is, for example, 5 minutes, and the shorter predetermined time T2 is, for example, 10 seconds. However, the predetermined times T1 and T2 may be other values. In addition, the bedridden success determination condition C2 may be determined based on a time period during which an electroencephalogram indicating that the infant 2 is in a sleep state is collected instead of an electroencephalogram indicating that the infant 2 is awake.

(Modification 3) In each of the embodiments described above, the identifier X included in the history data 55 of the past multiple times illustrated in FIG. However, the identifier X may be associated with the caregiver 3. Alternatively, when the caregiver 3 is raising a plurality of babies 2, the identifier may be associated with both the caregiver 3 and the baby 2.

(Modification 4) In each of the above-described embodiments, the history data 55 of a plurality of times in the past illustrated in FIG. 5 includes the result of the sleeping on the infant 2 associated with the identifier X. However, the history data 55 may include a sleeping result for another infant 2 associated with an identifier Y different from the identifier X. The use of the brain wave data of the infant 2 associated with the identifier Y for setting the bedkeeping execution condition C1 of the infant 2 associated with the identifier X may improve the accuracy of the bedkeeping execution condition C1. In particular, in the second embodiment, the information processing apparatus 20 has the latest one of the brain wave data of the infant 2 associated with the identifier Y, and the infant associated with many other identifiers. Since the EEG data of the baby 2 may be stored, there is a possibility that a high-precision sleeping condition C1 for the baby 2 associated with the identifier X may be obtained using the EEG data.

(Modification 5) In each of the above-described embodiments, the infant 2 wears the electroencephalogram sensor 5 and / or the posture sensor 9. However, the caregiver 3 may wear the electroencephalogram sensor 5 and / or the posture sensor 9. Alternatively, the electronic device 10 and the brain wave sensor 5 and / or the posture sensor 9 may be provided as an integrated device that is physically integrated. In this case, the communication delay is reduced, and the output of the sleep timing information and the success determination of the sleep can be performed more quickly.

(Modification 6) In the third embodiment described above, the presence or absence of a state change from the state in which the baby 2 is carried to the state in which the baby 2 is lying down by lying down is detected based on the posture data collected by the posture sensor 9. I decided to. However, the presence or absence of the state change may be detected by another device. For example, a state where the pressure sensor is attached to the back of the infant 2 and the electronic device 10 receives a signal from the pressure sensor that notifies that the contact between the back of the infant 2 and the bed 4 has been detected is received by the electronic device 10. Can be detected.

(Modification 7) In the third embodiment described above, the processor 11 of the electronic device 10 detects the state change from the state in which the baby 2 is carried to the state in which it is lying down by lying down in step S1020 in FIG. Is determined in step S1040 based on the dependency of the success determination condition C2 of the brain wave of the infant 2 on the success of the infant 2. However, in addition to the sufficiency of the bed resting success determination condition C2, or separately from the sufficiency, the success or failure of the bed rest execution result of the infant 2 may be determined based on the sufficiency of the other bed resting success determination condition C3. Good. The sufficiency of the bed resting success determination condition C3 is determined by, for example, detecting whether or not the baby 2 has returned from the lying state to the cared state based on the posture data acquired by the acquisition / transmission unit 111 from the posture sensor 9. Is determined by the determination unit 115.

  If the state in which the baby 2 is lying continues for a predetermined time T3 or more, the detecting unit 112 detects that the above-described state return has not occurred, and the determining unit 115 satisfies the sleeping condition success determination condition C3, that is, the sleeping result. Is determined to be successful. When the state in which the infant 2 is lying is completed in less than the predetermined time T3, the detection unit 112 detects that the above-described state return has occurred, and the determination unit 115 determines that the littering success determination condition C3 is not satisfied. Judge as failure. In other words, the sufficiency of the bed rest success determination condition C3 is determined based on the content detected by the posture sensor 9. When it is determined that the bedridden execution result is unsuccessful, an inquiry screen for asking the caregiver 3 whether or not to retry bedriding may be output to the screen 140 of the output device 14 by the generation unit 113. If the caregiver 3 selects to retry the sleeping, the sleeping support process shown in FIG. 10 returns to step S610 and is executed again.

(Modification 8) In the first and / or second embodiment described above, the result of lying down the infant 2 by lying down is detected based on the input by the caregiver 3. However, the result of the sleeping may be detected as success if the brain wave sensor 5 worn by the baby 2 is removed or the power is turned off. Is considered high. Therefore, for example, after the message 141 shown in FIG. 4 in step S640 of FIG. 6 and / or FIG. 8 is output to the screen 140 of the output device 14, the brain wave sensor 5 worn by the baby 2 is removed. When the power is turned off or when the power is turned off, a message asking whether or not the sleeping was successful may be output on the screen 140 as the message 142 instead of the “sleeping execution result”. Good. The fact that the electroencephalogram sensor 5 worn by the infant 2 has been removed or the power has been turned off is, for example, the acquisition / transmission unit 111 included in the processor 11 of the electronic device 10. Can no longer acquire brain wave data of the infant 2 from the brain wave sensor 5.

(Modification 9) In each of the above-described embodiments, the infant 2 wears the electroencephalogram sensor 5, and the sleeping support process is performed using the electroencephalogram. However, since vital data includes not only brain waves but also other biological information, the sleeping support process may be performed using vital signs other than brain waves. For example, instead of the brain wave sensor 5 or together with the brain wave sensor 5, by causing the infant 2 to wear the biological sensor, vital signs such as the heart rate, the pulse rate, and / or the myoelectric potential of the infant 2 collected by the biological sensor can be obtained. This can be used for the above-mentioned bed rest support process. Further, at the time of electroencephalogram collection, noise due to myoelectric potential may be included in the collected data. Therefore, by collecting myoelectric potential along with electroencephalogram as a vital sign of the infant 2, the electromyographic potential is obtained from the electroencephalographic data collected by the electroencephalographic sensor 5. Noise can be canceled.

(Variation 10) In each of the embodiments described above, the electronic device 10 is a portable terminal such as a mobile phone or a tablet computer, but may be another electronic device such as a personal computer. Although the output device 14 of the electronic device 10 is a display and the input interface 13 is a touch panel, the output device 14 having an audio output function and the input interface 13 having an audio input function may be used. . That is, the electronic device 10 may be a smart speaker. Alternatively, the output device 14 of the electronic device 10 may be configured by a lamp. For example, the color of the lamp is made different depending on the possibility of succeeding in sleeping. Furthermore, the electronic device 10 may be various types of wearable devices.

  The present invention is not limited to the configuration in each of the above-described embodiments and the modifications as long as the characteristic functions of the present invention are not impaired.

DESCRIPTION OF SYMBOLS 1 Sleeping support device, 2 infants, 3 caregivers, 4 beds, 5 EEG sensors, 6 processors, 7 memories, 8 communication modules, 9 attitude sensors, 10 electronic devices, 11 processors, 12 memories, 13 input interfaces, 14 output devices , 15 communication module, 20 information processing device, 21 processor, 22 memory, 23 communication module, 30 communication network, 40 computer program providing server, 45 recording medium, 51, 52, 53 brain wave, 55 history data, 61 brain wave data collection unit , 91 processor, 92 attitude data collection unit, 95 memory, 96 communication module, 111 acquisition / transmission unit, 112 detection unit, 113 generation unit, 114 setting unit, 115 determination unit, 131, 132, 133 area, 140 screen, 141 , 142, 143 messages, 2 11 acquisition / transmission unit, 212 determination unit, 410 recording medium

Claims (6)

A first sensor having a first collection unit that collects first data indicating an electroencephalogram of an infant;
On the basis of the first data, at least one of a plurality of components having different frequencies included in the brain wave of the infant held by the caregiver is occupied by the brain wave in a state where the ratio occupying the brain wave is a predetermined ratio. a detection unit for detecting whether or not to satisfy the first condition in response, the fulfillment of the first condition is detected, a generation unit for generating a first information regarding when laying the infant product An output device that outputs the first information to the caregiver.
Sleeping support device. The sleeping support device according to claim 1,
The electronic device further includes a setting unit that sets the first condition based on second data and the first data indicating a result of the caregiver lying down on the baby,
Sleeping support device. The sleeping support device according to claim 2,
An obtaining unit configured to obtain, from the electronic device, second information including the first data, the second data, and third data for identifying the caregiver or the baby; and the second information. Further comprising an information processing device having a determination unit that determines the first condition based on
The setting unit sets the first condition determined by the determining unit,
Sleeping support device. The bedkeeping support device according to claim 2 or 3,
The electronic device further includes an input interface for the caregiver to input the result,
The generation unit of the electronic device generates the second data based on the result input via the input interface,
Sleeping support device. The bedkeeping support device according to claim 2 or 3,
The electronic device is configured to detect the state of the infant lying down based on at least one of the first data, the state of the first sensor, and the content detected by a second sensor different from the first sensor. A determining unit that determines whether the electroencephalogram satisfies a second condition,
The generation unit of the electronic device generates the second data indicating the result based on the determination,
Sleeping support device. The sleeping support device according to claim 5,
The second sensor has a second collection unit that collects fourth data indicating a state related to the attitude of the caregiver or the baby,
The detection unit is configured to detect a state change from a state in which the baby is held by the caregiver to a state in which the baby is lying, based on the fourth data,
When the state change is detected, the determination unit starts the determination,
Sleeping support device.

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