JP6102581B2 - Sleep support device, sleep support method and program - Google Patents

Description

  The present invention relates to a sleep support device, a sleep support method, and a program.

  Sleep is a very effective means of relieving fatigue. If a good quality sleep is not obtained, it may interfere with daily life.

  Patent Document 1 discloses a technique for stimulating sleep by vibrating a human body.

JP 2000-197703 A

  Sleep may be disturbed by a sleeping partner such as a family. For example, the sound of bruxism and turning over is a factor that disturbs the sleep of those who are sleeping together. However, Patent Document 1 does not disclose a countermeasure for a case where sleep is inhibited by a partner sleeping together.

  In one aspect, an object of the present invention is to provide a sleep support device, a sleep support method, and a program that can reduce a possibility that a user whose sleep is disturbed will wake up.

  In one aspect, the sleep support device includes an estimation unit that estimates a transition of the sleep stage of the user, a sleep stage in which the sleep of the first user estimated by the estimation unit is likely to be awakened, and a second user If it is determined that the superimposition is generated by the determination unit that determines whether or not a sleep stage that is likely to cause a biological phenomenon caused by the second user during the sleep, and the determination unit determines that the overlap occurs, the first Adjusting means for adjusting the transition of at least one sleep stage of the second user and the second user.

  In one aspect, the sleep support method includes a step of estimating a transition of a user's sleep stage, a sleep stage in which the sleep of the first user estimated by the estimating step is likely to wake up, and a second user When it is determined that the superimposition occurs by the step of determining whether or not the sleep stage that is likely to cause a biological phenomenon caused by the second user during the sleep and the determining step, the first And adjusting a transition of at least one sleep stage of the second user and the second user.

  In one aspect, the program estimates the transition of the sleep stage of the user, the sleep stage in which the estimated sleep of the first user is likely to be awake, and the second user during the sleep of the second user. It is determined whether or not a sleep stage that is likely to cause a biological phenomenon caused by the second user is superimposed, and if it is determined that the superposition occurs, at least the first user and the second user The computer is caused to execute a process for adjusting the transition of one person's sleep stage.

  It is possible to reduce a possibility that a user who is disturbed in sleep wakes up.

It is a figure which shows an example of a system configuration. It is a figure which shows an example of a structure of a user side apparatus. It is a figure which shows an example of the hardware with which a sleep assistance apparatus is provided. It is a figure which shows an example of the functional block with which the control part of a sleep assistance apparatus is provided. It is a figure which shows an example of a user management table. It is a figure which shows an example of a sleep rhythm. It is a figure for demonstrating the sleep stage which a bruxism tends to occur. It is a figure which shows an example of a sleep rhythm in case the sleep stage in which sleep is easy to wake up, and the sleep stage in which bruxism is likely to occur are superimposed. It is a figure which shows an example of a user's sleep rhythm at the time of giving a stimulus with a stimulus provision apparatus. It is a flowchart which shows the operation | movement procedure of a sleep assistance apparatus.

  FIG. 1 shows an example of the system configuration of this embodiment. The present embodiment includes a configuration in which the user side device 10 and the sleep support device 100 are connected via a network 80. The user side device 10 is connected to a network 80 via a WLAN (Wireless LAN) 70 configured by a router 50 and an access point 60 connected to the router 50. The network 80 can employ any type of communication network such as the Internet (Internet), a LAN (Local Area Network), a WAN (Wide Area Network), and a VPN (Virtual Private Network).

  In FIG. 2, an example of a structure of the user side apparatus 10 is shown. The user side device 10 includes a smartphone 11, a stimulus imparting device 20, and a sleep depth measuring device 30. The smartphone 11 and the stimulus imparting device 20 perform two-way wireless communication with the access point 60 by a wireless communication method such as Wi-Fi (Wireless Fidelity), Bluetooth (registered trademark), or infrared communication. The sleep depth measuring device 30 is connected to the router 50 by wire. Note that the smartphone 11 may be a mobile terminal such as a mobile phone, a PDA (Personal Digital Assistant), or a tablet terminal. Moreover, the smart phone 11, a notebook PC (Personal computer), and a desktop PC can also be used together. When the desktop PC is used together with the smartphone 11, the desktop PC is connected to the router 50 by wire.

  The smartphone 11 includes an operation unit 12 and a display unit 13. The operation unit 12 is a functional unit that receives an operation input from a user. The operation information that the user inputs by operating the operation unit 12 includes physical condition information, setting information, and basic registration information. The physical condition information includes the sleep time of the previous day, the degree of fatigue of the body, the tension state, and the like. The setting information includes scheduled sleeping time, seasonal variation information (temperature, humidity) and the like that are individually set by the user. Basic registration information is information that is registered when a user of this system performs user registration. The basic registration information includes the ID of the user to set as a pair, the setting of the presence or absence of bruxism, the e-mail address of the smartphone 11, and the like. The ID of the user to be paired is the ID of another user such as a family or a couple who goes to bed in the same bedroom. The setting of presence / absence of bruxism is information in which whether or not the user is bruxizing at bedtime is registered. Physical condition information, setting information, and basic registration information received by the operation unit 12 are transmitted to the sleep support apparatus 100 via the network 80 by the smartphone 11. The display unit 13 displays information received from the operation unit 12 and information transmitted from the sleep support device 100.

  The smartphone 11 is equipped with an acceleration sensor (not shown). When the user of this system puts the smartphone 11 in a familiar place such as a bedside when going to bed and goes to sleep, the smartphone 11 detects the movement of the bedding due to the user's body movement by the acceleration sensor. . The smartphone 11 determines the user's sleep time or wake-up time based on the movement of the bedding detected by the acceleration sensor. The smartphone 11 transmits the determined sleeping time information or the rising time information to the sleep support apparatus 100 via the network 80.

  The stimulus applying device 20 is a wristwatch type device that is worn on the user's arm, and includes a vibration motor (not shown) for vibration in the main body case of the stimulus applying device 20. When the stimulus applying device 20 receives a signal from the sleep support device 100 via the network 80, the stimulus applying device 20 vibrates the vibration motor and gives the stimulus to the user's arm to which the stimulus applying device 20 is attached. In addition, the user who goes to sleep with the stimulus applying device 20 is a user who has registered that there is bruxism in “setting of presence / absence of bruxism” in the basic registration information. The stimulus applying device 20 may be any device that can give a stimulus such as vibration to a sleeping user, and the shape of the stimulus applying device 20 is not limited to a wristwatch. For example, it may be a stimulus applying device 20 in which a vibration motor is incorporated in a pillow.

  The sleep depth measurement device 30 is an electroencephalogram measurement device that is worn on the head of a sleeping user and measures the user's brain waves at a predetermined cycle (for example, every 5 minutes). The sleep depth measurement device 30 is connected to the router 50, and transmits the measured waveform data of the electroencephalogram to the sleep support device 100 via the router 50 sequentially. In the present embodiment, as an example of the sleep depth measurement device 30, a device that measures the user's brain waves and measures the sleep depth will be described as an example, but the user's body movement is detected and the sleep depth is measured. You may do.

Next, the hardware provided in the sleep support device 100 will be described with reference to FIG. In FIG. 3, an example of the hardware with which the sleep assistance apparatus 100 is provided is shown.
The sleep support device 100 includes a control unit 110. The control unit 110 includes a CPU (Central Processing Unit) 111, a ROM (Read Only Memory) 112, and a RAM (Random Access Memory) 113. Each unit of the CPU 111, ROM 112, and RAM 113 is connected to the bus 160. The ROM 112 stores a control program used by the CPU 111 for control. The CPU 111 reads the control program from the ROM 112 or the hard disk device (hereinafter referred to as HDD) 150 and stores it in the RAM 113. Thereafter, the CPU 111 performs processing (calculation) according to the control program stored in the RAM 113. The RAM 113 is used as a work memory for the CPU 111, and the RAM 113 stores data used by the CPU 111 for computation, data after computation by the CPU 111, and the like. Functional blocks realized by cooperation of hardware such as the CPU 111 and the RAM 113 and the control program will be described later with reference to FIG.

  The sleep support device 100 includes an input device 121 and an input interface (hereinafter, the interface is abbreviated as I / F) 122. The input I / F 122 is connected to the input device 121 and the bus 160. The input device 121 is an input device such as a mouse or a keyboard. When the input device 121 is operated by the user, the input device 121 sends operation information indicating the received operation content to the control unit 110 via the input I / F 122. The input I / F 122 receives operation information from the input device 121 and sends the input operation information to the control unit 110 via the bus 160.

  The sleep support device 100 includes a graphic I / F 132 and a display device 131. The graphic I / F 132 is connected to the bus 160 and the display device 131. The graphic I / F 132 is an interface for causing the display device 131 to display graphic data processed by the control unit 110. The graphic I / F 132 converts the graphic data received from the control unit 110 into a waveform electric signal and sends it to the display device 131. The display device 131 displays graphic data input from the graphic I / F 132 on the display screen of the display device 131.

  The sleep support device 100 includes a network I / F 140. The network I / F 140 is connected to the bus 160 and the network 80. The network I / F 140 receives data sent from the control unit 110 and outputs the input data to the network 80. Further, the network I / F 140 sends data transmitted from the user side device 10 received via the network 80 to the control unit 110.

  Sleep support device 100 includes HDD 150. The HDD 150 stores a control program used by the CPU 111 for control, physical condition information uploaded by the user-side device 10, setting information, basic registration information, and the like. Although FIG. 3 shows the HDD 150 as an example of the storage device, the storage device is not limited to a hard disk device. For example, a portable storage medium such as a computer-readable flexible disk (FD), DVD (Digital Versatile Disc), or DVD-RAM may be used. Further, it may be a portable storage medium such as a CD-ROM (Compact Disc Read Only Memory), a CD-R (Recordable) / RW (ReWritable), a magneto-optical disk, or an IC card.

  Next, the functional block 170 included in the sleep support apparatus 100 will be described with reference to FIG. The functional block 170 is a block in which processing realized by cooperation of hardware such as the CPU 111 and the RAM 131 of the control unit 110 and the control program is grouped for each function realized by a series of processing. The sleep support apparatus 100 includes, as a function block 170, an input unit 201, a data analysis unit 202, a predicted sleep model selection unit 203, a correction determination unit 204, a superimposition determination unit 205, a changed bedtime notification unit 206, a stimulation instruction unit 207, and an output. The unit 208 is provided.

  The input unit 201 is connected to the network I / F 140 and the data analysis unit 202. The input unit 201 outputs data input from the network I / F 140 to the data analysis unit 202.

  The data analysis unit 202 is connected to the input unit 201, the predicted sleep model selection unit 203, the correction determination unit 204, and the RAM 113. The data analysis unit 202 receives the data output from the input unit 201 and stores the input data in the RAM 113. In addition, when the data analysis unit 202 analyzes the input data and determines that the input data is physical condition information or setting information transmitted from the smartphone 11, the input data is input to the predictive sleep model selection unit 203. Output. In addition, when the data analysis unit 202 determines that the input data is sleep time information determined by the smartphone 11, wake-up time information, or brain wave waveform data measured by the sleep depth measurement device 30, The input data is output to the correction determination unit 204.

  The predicted sleep model selection unit 203 is connected to the data analysis unit 202, the correction determination unit 204, the RAM 113, and the superimposition determination unit 205. The predicted sleep model selection unit 203 inputs the user's physical condition information and setting information from the data analysis unit 202, and selects the predicted sleep model after the user's sleep based on the input physical condition information and setting information. The RAM 113 stores a sleep model database (hereinafter, the database is abbreviated as DB). The predicted sleep model selection unit 203 refers to the sleep model DB and selects a predicted sleep model after the user goes to bed based on physical condition information and setting information.

  Here, data stored in the RAM 113 will be described. The RAM 113 stores a user management table in which user information is registered and a sleep model DB. Note that the user management table and the sleep model DB are stored in the HDD 150, read from the HDD 150 when the control unit 110 is activated, and stored in the RAM 113.

  FIG. 5 shows an example of the user management table. Basic registration information, physical condition information, and setting information are registered in the user management table. The basic registration information includes a user ID given to the user, a pair setting user ID, a setting for presence / absence of bruxism, a mail address of the smartphone 11, and identification information of the stimulus applying device 20. The physical condition information includes the sleep time of the previous day, the degree of fatigue, and the tension state. The setting information includes scheduled sleeping time and seasonal variation information.

  The sleep model DB stores a plurality of predicted sleep models. The predictive sleep model is obtained by predicting in advance a plurality of sleep rhythms indicating changes in the sleep depth with respect to the elapsed time since the user fell asleep. An example of the sleep rhythm is shown in FIG. In the sleep model DB, the measured sleep rhythm of the user is classified and stored according to physical condition information such as the user's sleepiness, fatigue and tension, and seasonal variation information.

  When the predicted sleep model selection unit 203 receives physical condition information and setting information from the data analysis unit 202, the predicted sleep model selection unit 203 selects the optimum predicted sleep from a plurality of classified sleep models classified based on the input physical condition information and setting information. Select a model. Therefore, the predicted sleep model selection unit 203 predicts in advance a predicted sleep model that matches the physical condition and bedtime of the user. Details of the predicted sleep model are described in Japanese Patent Application Laid-Open No. 2010-220649.

The correction determination unit 204 is connected to the data analysis unit 202, the predicted sleep model selection unit 203, and the superimposition determination unit 205. The correction determination unit 204 corrects the predicted sleep model selected by the predicted sleep model selection unit 203 based on the sleep time information input from the data analysis unit 202 and the electroencephalogram waveform data measured by the sleep depth measurement device 30. It is determined whether or not is necessary. When there is a discrepancy between the scheduled sleep time set by the user and the actual sleep time, the predicted sleep model selected by the predicted sleep model selection unit 203 does not appropriately represent the sleep rhythm of the user There is. For this reason, the correction determination unit 204 calculates a time difference between the scheduled bedtime set in the setting information and the sleep time determined by the smartphone 11, and is the calculated time difference separated by a predetermined time (for example, 5 minutes) or more? Determine whether or not. The correction determination unit 204 determines that the correction of the predicted sleep model is necessary when it is determined that the difference between the expected sleeping time and the falling asleep time is a predetermined time or more. If the correction determination unit 204 determines that the prediction sleep model needs to be corrected, the correction determination unit 204 outputs information to that effect and sleep time information to the prediction sleep model selection unit 203.
When the prediction sleep model selection unit 203 receives a notification from the correction determination unit 204 that correction is necessary, the prediction sleep model selection unit 203 newly selects a prediction sleep model based on the sleep time information input from the correction determination unit 204.

  In addition, the correction determination unit 204 sequentially inputs the waveform data of the electroencephalogram measured by the sleep depth measurement device 30 at a predetermined cycle, and compares it with the predicted sleep model selected by the predicted sleep model selection unit 203. The correction determination unit 204 calculates the Euclidean distance between the electroencephalogram waveform data and the sleep depth of the predicted sleep model at the time when the waveform data was measured, and whether or not the calculated Euclidean distance is greater than the threshold value. Determine whether. When the Euclidean distance is larger than the threshold value, the correction determination unit 204 determines that the prediction sleep model needs to be corrected. When it is determined that the prediction sleep model needs to be corrected, the correction determination unit 204 outputs the fact and the electroencephalogram waveform data to the prediction sleep model selection unit 203. When the prediction sleep model selection unit 203 receives a notification from the correction determination unit 204 that correction is necessary, the prediction sleep model selection unit 203 newly selects a prediction sleep model based on the waveform data of the electroencephalogram input from the correction determination unit 204.

  In addition, when the data input from the data analysis unit 202 is information on the user's wake-up time, the correction determination unit 204 notifies the prediction sleep model selection unit 203 and the superimposition determination unit 205 of the end of the process. .

  The superimposition determination unit 205 is connected to the predicted sleep model selection unit 203, the correction determination unit 204, the changed bedtime notification unit 206, and the stimulation instruction unit 207. The superimposition determination unit 205 inputs the predicted sleep model of the user selected by the predicted sleep model selection unit 203 from the predicted sleep model selection unit 203. The superimposition determination unit 205 uses the predicted sleep model between the paired users, the sleep stage in which the first user's sleep is likely to awaken, and the second user during the second user's sleep. It is determined whether or not a sleep stage that easily causes a biological phenomenon is superimposed. A biological phenomenon is a biological phenomenon that inhibits the sleep of others sleeping together, and includes, for example, bruxism, body movement, and sleep. In the present embodiment, bruxism and sleep are described later.

  Before describing the sleep stage in which a biological phenomenon is likely to occur, non-REM sleep and REM sleep will be described with reference to FIG. FIG. 6 shows an example of a sleep rhythm showing the relationship between the passage of time and the sleep depth. The human sleep pattern is one cycle for non-REM sleep and REM sleep. The length of the cycle from the beginning of non-REM sleep to the end of REM sleep is said to be about 90-110 minutes. This cycle appears 4-5 times a night and moves to morning awakening. NREM sleep is further divided into four stages. The first stage has the least sleep and the fourth stage has the most sleep. The deep sleep of the fourth stage appears in the first 1st to 2nd cycles after the start of sleep, and becomes harder to appear as it approaches dawn. Instead, the duration of the REM period becomes longer at dawn.

  It is generally known that bruxism occurs in the first and second stages of non-REM sleep and REM sleep. In particular, in the process of shifting from REM sleep to the REM sleep from the first stage and the second stage of non-REM sleep, many cases of bruxism occur in the serialization and sleep apnea syndrome treatment serialized in Sleep Medicine Vol.3 No.4 2009 The role of dentistry, 7th, “Occluded sleep apnea syndrome (OSAS) and sleep bruxism (SB)” is disclosed. A period indicated by an arrow in FIG. 7 indicates a period during which bruxism is likely to occur.

  The superimposition determination unit 205 determines whether or not the sleep stage in which the first user's sleep is likely to awaken and the sleep stage in which the second user's bruxism occurs among the paired users is superimposed. judge. The first user corresponds to a user who is registered in the “setting of presence / absence of bruxism” column of the user management table among the users having the paired user IDs. The second user corresponds to a registered user when bruising in the “setting of presence / absence of bruxism” column of the user management table among the users with the paired user IDs. The stimulus applying device 20 is attached to the arm of the second user. In the present embodiment, the paired users are described as two users, the first user and the second user. However, the pair setting may be three or more. That is, a plurality of users may be registered for both the first user and the second user.

  FIG. 8 shows a case where the sleep stage in which the first user's sleep is likely to awaken and the sleep stage in which the second user is likely to be bruxized overlap. A 1st user will be in the state of REM sleep in the period of t1, t2 shown in FIG. 8, and will be in the state which sleep is easy to wake up. In addition, the second user is in the first stage or the second stage of non-REM sleep in the period of T1 and T2 shown in FIG. For this reason, in the period of S1 and S2 shown in FIG. 8, the sleep stage in which the first user's sleep is easy to wake up and the sleep stage in which the second user is easily bruxized overlap. When it is determined that the sleep stage is superimposed, the superimposition determination unit 205 notifies the change sleep time notification unit 206 or the stimulation instruction unit 207 that the sleep stage is superimposed. Note that the superimposition determination unit 205 notifies the changed bedtime notification unit 206 that the sleep stage is superimposed when at least one of the first user and the second user is before going to bed. In addition, the superimposition determination unit 205 notifies the stimulation instruction unit 207 that the sleep stage is superimposed when the first user and the second user are already sleeping.

  The changed bedtime notification unit 206 is connected to the superimposition determination unit 205 and the output unit 208. When the change bedtime notification unit 206 receives a notification that the sleep stage is superimposed from the superimposition determination unit 205, the change bedtime notification unit 206 displays information suggesting a change in bedtime on the user's smartphone 11 before going to bed. The case where the superimposition determination unit 205 notifies the changed bedtime notification unit 206 that the sleep stage is superimposed is a case where at least one user is still awake. The changed bedtime notification unit 206 creates an email proposing a change in the scheduled bedtime, and transmits the email to the email address of the smartphone 11 possessed by the waking user. The changed bedtime notifying unit 206 calculates, for example, a time obtained by adding or subtracting a predetermined time (for example, 15 to 30 minutes) to the scheduled bedtime set by the user as the changed bedtime. The changed bedtime notification unit 206 creates an e-mail describing the calculated changed bedtime and outputs it to the output unit 208. This e-mail address is the e-mail address of the smartphone 11 possessed by the waking user registered in the user management table. When an e-mail is input from the changed bedtime notification unit 206, the output unit 208 outputs the input e-mail to the network 80 via the network I / F 140. The e-mail is transmitted to the user's mailbox via the network 80.

  When the stimulus instruction unit 207 receives a notification that the sleep stage is superimposed from the superimposition determination unit 205, the stimulus instruction unit 207 generates a signal (hereinafter referred to as a vibration instruction signal) that vibrates the stimulus applying device 20, and the corresponding signal is generated at a predetermined timing. It transmits to the user's stimulus imparting device 20. The vibration instruction signal includes information for setting the vibration intensity indicating the strength of vibration and the duration of the vibration, and identification information of the stimulus applying device 20 that transmits the vibration instruction signal. The stimulus instruction unit 207 outputs the generated vibration instruction signal to the output unit 208. The output unit 208 outputs the vibration instruction signal input from the stimulation instruction unit 207 to the network 80 via the network I / F 140. The vibration instruction signal is sent to the user's stimulus applying apparatus 20 via the network 80.

FIG. 9 shows a case where the second user sleeps after the second user's sleep depth shifts from the first stage of non-REM sleep to the second stage of non-REM sleep. In addition, the dashed-dotted line shown in FIG. 9 shows the sleep rhythm of the first user, the dotted line shows the sleep rhythm of the second user when no stimulus is given, and the solid line shows the second when the stimulus is given Shows the sleep rhythm of the user. The sleep depth of the second user, who should have shifted to the third stage of non-REM sleep, is transferred to the first stage of non-REM sleep by stimulating the user whose sleep depth is in the second stage of non-REM sleep Can be made. For this reason, it is possible to avoid the superposition of the sleep stage in which the first user's sleep is likely to awaken and the sleep stage in which the second user is likely to be bruised.
In addition, you may set so that a user can select the sleep stage which gives a stimulus. The user inputs the setting of the sleep stage that receives the stimulation by the stimulation applying device 20 through the operation unit 12 of the smartphone 11. The smartphone 11 transmits the received information to the sleep support apparatus 100 and registers the information in the user management table of the sleep support apparatus 100. The stimulus instruction unit 207 determines the sleep depth of the user from the selected predicted sleep model, and if the sleep state of the user is at the sleep depth registered in the user management table, the vibration instruction signal is transmitted to the user. To the stimulus applying device 20. In addition, there are individual differences in responses to stimuli. For this reason, the brain wave after giving a stimulus with the stimulus applying device 20 is measured with the sleep depth measuring device 30, and the best stimulus intensity given to the second user is learned with the stimulus applying device 20. Good. In order not to deteriorate the quality of sleep of the second user who gives the stimulus, it is important that the second user obtains the fourth stage of non-REM sleep which is deep sleep. If a stimulus is applied during the transition from the third stage of NREM sleep to the fourth stage of NREM sleep, the sleep stage cannot enter the fourth stage of NREM sleep, or the fourth stage of NREM sleep is entered. It may take some time before. Therefore, as much as possible, it is preferable not to stimulate the second user during the transition to the fourth stage of non-REM sleep.

Next, the processing procedure of the control unit 110 of the sleep support apparatus 100 will be described with reference to the flowchart shown in FIG.
When accepting access from the smartphone 11, the control unit 110 of the sleep support device 100 performs user authentication and determines whether or not the user is an authorized user. When the user authentication ends normally, the control unit 110 causes the display unit 13 of the smartphone 11 to display an input request for physical condition information and setting information (step S1). The physical condition information includes the sleep time of the previous day of the user, the degree of fatigue, the tension state, and the like. The setting information includes information about the expected sleeping time when the user goes to bed, temperature, and humidity. Information such as the sleep time, fatigue level, tension, temperature, and humidity of the previous day of the user is not directly input by the user, but is automatically measured by the smartphone 11 and transmitted to the sleep support device 100. You may do.

  If the input of physical condition information and setting information is received (step S2 / YES), the control part 110 will select a prediction sleep model using the received physical condition information and setting information (step S3). When the predicted sleep models of all the users registered in the “pair setting user ID” of the user management table are selected, the control unit 110 has a period to be superimposed on a predetermined sleep stage between the paired users. It is determined whether or not there is. More specifically, the control unit 110 determines whether or not the sleep stage in which the first user is likely to awaken and the sleep stage in which the second user is likely to be bruxized overlap (step S4). The first user is a user who has registered “do not bruise” in the user management table, and the second user is a user who has registered “do bruise” in the user management table. It is. If it is determined that there is a period in which the sleep stage is superimposed (step 4 / YES), the control unit 110 calculates the changed bedtime proposed to the first user or the second user (step S5). The user who proposes the change of the scheduled bedtime may be the first user or the second user. However, when either one of the users is already sleeping, the changed bedtime of the user who is awake is calculated. The changed bedtime is a bedtime calculated so that the sleep stage in which the first user is likely to awaken and the sleep stage in which the second user is likely to be bruised are not superimposed. The control unit 110 transmits an email describing the calculated changed bedtime to the smartphone 11 of the corresponding user (step S6). When the changed bedtime of the first user is calculated in step S5, an e-mail is transmitted to the smartphone 11 of the first user, and the changed bedtime of the second user is calculated. Transmits an email to the smartphone 11 of the second user.

  Next, the control unit 110 determines whether or not the user has fallen asleep (step S7). The control unit 110 determines whether or not the user has fallen asleep by inputting information on the sleep time transmitted from the smartphone 11 placed at the bedside of the user. When it is determined that the user has fallen asleep (step S7 / YES), the control unit 110 has a predetermined time or more between the scheduled sleeping time of the user registered in the user management table and the sleeping time sent from the smartphone 11. It is determined whether there is a difference (step S8). When determination of step S8 is affirmation determination, the control part 110 correct | amends a prediction sleep model (step S9). The control unit 110 refers to the sleep model DB stored in the RAM 113 and selects a new predicted sleep model from the sleep time.

  Next, the control unit 110 determines whether all the paired users have fallen asleep (step S10). Similar to the determination in step S <b> 7, the control unit 110 inputs information on the sleep time transmitted from the smartphone 11 placed at the bedside of the user, and determines whether the user has fallen asleep. When the determination in step S10 is negative, the control unit 110 repeats the process from step S7. When the determination in step S10 is affirmative, the control unit 110 inputs the waveform data of the brain waves of the first user and the second user measured by the sleep depth measurement device 30. The controller 110 having received the electroencephalogram waveform data calculates the Euclidean distance between the input electroencephalogram waveform data and the sleep depth of the predicted sleep model at the time when the waveform data was measured (step S12). The control unit 110 calculates a difference in Euclidean distance between the waveform data of the first user's brain wave and the sleep depth of the predicted sleep model of the first user, and the calculated difference in Euclidean distance is a threshold value. It is determined whether it is larger than (step S13). Similarly, for the second user, the difference of the Euclidean distance between the waveform data of the second user's brain wave and the sleep depth of the predicted sleep model of the second user is calculated, and the calculated difference is calculated. It is determined whether it is larger than the threshold value (step S13). When determination of step S13 is affirmation determination, the control part 110 correct | amends a prediction sleep model. If the determination in step S13 is negative, the control unit 110 proceeds to the process in step S15.

In step S15, the control unit 110 determines whether or not there is a period in which the sleep stage in which the first user is likely to awaken and the sleep stage in which the second user is likely to be bruxized overlap. Using the predicted sleep model selected in step S3 or the predicted sleep model corrected in steps S9 and S14, the control unit 110 performs a sleep stage in which the first user is likely to be awakened and a second user's bruxism. It is determined whether or not an easy sleep stage is superimposed.
When the determination in step S15 is an affirmative determination, the control unit 110 transmits a stimulation instruction signal to the second user's stimulation applying device 20 at a predetermined timing (step S16), and transmits the stimulation instruction signal to the second user. Gives irritation. If the determination in step S15 is a negative determination, or after executing the process in step S16, the control unit 110 determines whether one of the first user and the second user has occurred. (Step S17). For example, the control unit 110 determines that the user has woken up when information on the wake-up time transmitted from the smartphone 11 is input. When the determination in step S17 is negative, the control unit 110 repeats the process from step S11. Moreover, when determination of step S17 is affirmation determination, the control part 110 complete | finishes this process.

  As described above in detail, the present embodiment is a sleep stage in which the first user's sleep is likely to wake up, and a sleep that is likely to cause a biological phenomenon caused by the second user during the sleep of the second user. It is determined whether or not the stages overlap. When it is determined that the sleep stage in which sleep is likely to awaken and the sleep stage in which a biological phenomenon is likely to occur are superimposed, the sleep support device 100 determines the sleep stage of at least one of the first user and the second user. It is adjusted. Therefore, even if sleep is disturbed by the partner sleeping together, it is possible to reduce the possibility that the user will wake up. In addition, when the method for adjusting the sleep stage is a method for giving a stimulus to the second user during sleep, the sleep stage for giving the stimulus can be set, so that the quality of sleep of the second user can be set. Can be prevented from lowering. In addition, it is determined whether or not the estimated sleep rhythm needs to be corrected. If it is determined that the correction is necessary, the sleep rhythm is estimated again, so that the estimation accuracy of the user's sleep rhythm is improved and the user wakes up. It is possible to further reduce the risk of the occurrence.

In the above-described embodiment, the bruxism has been described as an example of the biological phenomenon, but the biological phenomenon is not limited to the bruxism. For example, sleep and body movements can be given as examples of biological phenomena. Since people often dream during REM sleep, sleep is often generated at the stage of REM sleep. In addition, body movement such as turning over frequently occurs in a shallow sleep state until the sleep state deepens again after shifting to a shallow sleep state once. Biomedical Engineering Vol. 50 No. 1 (February 2012) Pp. 99-104.
In the case of sleeping, the presence / absence of sleeping is registered in the user management table, and the sleep stage of the second user's REM sleep set to “say sleeping” and the sleep of the first user's REM sleep. The control unit 110 determines whether or not the stages overlap. When it is determined that the sleep stages of the REM sleep of the first and second users are superimposed, the control unit 110 proposes the change of the scheduled bedtime to the first or second user. In addition, when the first user and the second user have already gone to bed, the control unit 110 stimulates the user's stimulus applying apparatus 20 set to “say a sleep” at a predetermined timing. An instruction signal is transmitted and adjusted so that the sleep stage is not superimposed.

In addition, in the case of body movement, not one of the paired users becomes the first user and the other user becomes the second user, but both paired users It can be a first user and a second user. Furthermore, even in bruxism and sleeping, both paired users may bruise and sleep.
In such a case, both the paired users are caused to wear the stimulus applying device 20. The control unit 110 determines whether or not the sleep stage in which the first user is likely to wake up and the sleep stage in which the second user is likely to cause body movement are superimposed. Examples of the sleep stage in which body movement is likely to occur include cases where the second user's sleep stage is the first stage of REM sleep or non-REM sleep after REM sleep. The control unit 110 determines whether or not the first user's REM sleep and the second user's REM sleep or the first stage of non-REM sleep after the REM sleep overlap. In the case of bruxism or sleep, the control unit 110 determines whether the second user's sleep stage is in a sleep stage where bruxism or sleep is easy.
In addition, the control unit 110 determines whether or not the sleep stage in which the first user is likely to cause a body movement and the sleep stage in which the second user is likely to be awakened overlap. That is, the control unit 110 determines whether or not the first stage of the REM sleep of the first user or the non-REM sleep after the REM sleep and the REM sleep of the second user are superimposed. When determining that the sleep stage is superimposed, the control unit 110 proposes to the first or second user to change the scheduled bedtime. In addition, when the first user and the second user are already sleeping, the control unit 110 transmits a stimulus instruction signal to the stimulus applying device 20 of the user who is in a sleep stage where body movement is likely to occur. Then, the sleep stage is adjusted so as not to overlap. In the case of bruxism or sleep, the control unit 110 determines whether the first user's sleep stage is in a sleep stage where bruxism or sleep is easy.

  The above-described embodiment is a preferred embodiment of the present invention. However, the present invention is not limited to this, and various modifications can be made without departing from the scope of the present invention. For example, in the above-described embodiment, the case where the sleep support device 100 is realized by a server device provided on the network 80 has been described as an example. However, a notebook PC or desktop PC provided as the user-side device 10 is used. The function of the sleep support device 100 may be realized. Moreover, you may implement | achieve the function of the sleep assistance apparatus 100 with the application software which operate | moves with a smart phone.

In addition, the following additional notes are disclosed regarding the above description.
(Appendix 1) Estimating means for estimating the transition of the user's sleep stage;
Whether the sleep stage in which the first user's sleep estimated by the estimation means is likely to awaken and the sleep stage in which the second user is likely to experience a biological phenomenon that occurs during the second user's sleep overlap Determining means for determining whether or not;
An adjustment means for adjusting a transition of at least one sleep stage of the first user and the second user when it is determined by the determination means that superposition occurs;
A sleep support apparatus comprising:
(Additional remark 2) The said adjustment means requests | requires the change of bedtime to at least one of the said 1st user and the said 2nd user, when it determines with the said superimposition arising by the said determination means. The sleep support apparatus according to appendix 1, wherein the sleep support apparatus is a means.
(Additional remark 3) When the said determination means determines that the said superimposition arises, the said adjustment means gives a stimulus to the said 2nd user during sleep, and adjusts the sleep stage of the said 2nd user The sleep support apparatus according to appendix 1, wherein the sleep support apparatus is a means for
(Additional remark 4) The said adjustment means is provided with a means to receive the setting input of the sleep stage which gives a stimulus to a said 2nd user, The sleep assistance apparatus of Additional remark 3 characterized by the above-mentioned.
(Additional remark 5) It has a correction | amendment determination means which determines whether correction | amendment is required for the transition of the said sleep stage estimated by the said estimation means, and if the said correction determination means determines that correction | amendment is required, the said correction | amendment determination means The sleep support apparatus according to appendix 1, wherein a transition of a sleep stage of a user who is determined to be corrected in (2) is estimated again by the estimation means.
(Appendix 6) Estimating the transition of the user's sleep stage;
The sleep stage in which the first user's sleep estimated by the estimating step is likely to awaken and the sleep stage in which the second user is likely to experience a biological phenomenon that occurs during the sleep of the second user are superimposed. Determining whether or not,
Adjusting the transition of at least one sleep stage of the first user and the second user when it is determined by the determining step that the superposition occurs;
A sleep support method characterized by comprising:
(Supplementary Note 7) In the step of adjusting, when it is determined that the superimposition occurs in the determining step, a change in bedtime is made to at least one of the first user and the second user. The sleep support method according to appendix 6, wherein the sleep support method is requested.
(Additional remark 8) When it is determined that the said superimposition arises by the said determination step, the said adjustment step gives a stimulus to the said 2nd user in sleep, The sleep stage of the said 2nd user The sleep support method according to appendix 6, characterized in that:
(Supplementary note 9) The sleep support method according to supplementary note 8, wherein the adjusting step includes a step of accepting a setting input of a sleep stage that gives a stimulus to the second user.
(Additional remark 10) It has the step which determines whether correction | amendment is required for transition of the said sleep stage estimated by the said step to estimate, and determines with correction | amendment by the step which determines whether the said correction | amendment is required Then, the sleep support method according to appendix 6, wherein the transition of the sleep stage of the user determined to be corrected is estimated again in the estimating step.
(Supplementary note 11)
The transition of the user's sleep stage is estimated, the estimated sleep stage of the first user is likely to awaken, and the biological phenomenon caused by the second user during the sleep of the second user is likely to occur. It is determined whether or not the sleep stage is superimposed, and when it is determined that the overlap occurs, the transition of the sleep stage of at least one of the first user and the second user is adjusted. A program that causes a computer to execute processing.
(Additional remark 12) The process which adjusts transition of the said sleep stage is a change of bedtime to at least one of the said 1st user and the said 2nd user, when it determines with the said superimposition arising. The program according to appendix 11, which is a requested process.
(Additional remark 13) The process which adjusts transition of the said sleep stage gives a stimulus to the said 2nd user during sleep, when it determines with the said superimposition arising, The sleep stage of the said 2nd user The program according to appendix 11, wherein the program is adjusted.
(Additional remark 14) The process of adjusting the transition of the said sleep stage receives the setting input of the sleep stage which gives a stimulus to a said 2nd user, The program of Additional remark 13 characterized by the above-mentioned.
(Supplementary Note 15) If it is determined whether correction is necessary for the estimated transition of the sleep stage, and it is determined that correction is necessary, the transition of the sleep stage of the user determined to be corrected is estimated again. The program according to appendix 11, characterized by:

DESCRIPTION OF SYMBOLS 10 User side apparatus 11 Smart phone 20 Stimulus imparting apparatus 30 Sleep depth measuring apparatus 100 Sleep support apparatus 110 Control part 203 Predictive sleep model selection part 203 Correction | amendment determination part 205 Superimposition determination part 206 Change bedtime notification part 207 Stimulation instruction | indication part

Claims (7)

An estimation means for estimating the transition of the sleep stage of the user;
Whether the sleep stage in which the first user's sleep estimated by the estimation means is likely to awaken and the sleep stage in which the second user is likely to experience a biological phenomenon that occurs during the second user's sleep overlap Determining means for determining whether or not;
An adjustment means for adjusting a transition of at least one sleep stage of the first user and the second user when it is determined by the determination means that superposition occurs;
A sleep support apparatus comprising:   The adjusting means is means for requesting at least one of the first user and the second user to change the bedtime when the determining means determines that the superimposition occurs. The sleep support apparatus according to claim 1.     The adjusting unit is a unit that adjusts the sleep stage of the second user by stimulating the second user during sleep when the determination unit determines that the superimposition occurs. The sleep support apparatus according to claim 1.   The sleep support apparatus according to claim 3, wherein the adjustment unit includes a unit that receives a setting input of a sleep stage that gives a stimulus to the second user. Correction correction means for determining whether or not correction is necessary for the transition of the sleep stage estimated by the estimation means,
2. The transition of a sleep stage of a user determined to be corrected by the correction determination unit is re-estimated by the estimation unit when the correction determination unit determines that correction is necessary. Sleep support device. Estimating a user's sleep stage transition;
The sleep stage in which the first user's sleep estimated by the estimating step is likely to awaken and the sleep stage in which the second user is likely to experience a biological phenomenon that occurs during the sleep of the second user are superimposed. Determining whether or not,
Adjusting the transition of at least one sleep stage of the first user and the second user when it is determined by the determining step that the superposition occurs;
A sleep support method characterized by comprising: Computer
The transition of the user's sleep stage is estimated, the estimated sleep stage of the first user is likely to awaken, and the biological phenomenon caused by the second user during the sleep of the second user is likely to occur. It is determined whether or not the sleep stage is superimposed, and when it is determined that the overlap occurs, the transition of the sleep stage of at least one of the first user and the second user is adjusted. A program that causes a computer to execute processing.

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