JP2005237570A - Sleep state decision system, sleep state decision method, and sleep state decision program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a sleep state decision system, a sleep state decision method, and a sleep state decision program for deciding the sleep state of a user at a low cost. <P>SOLUTION: The sleep state decision system 1 is the sleep state decision system for deciding the sleep state of the user P and is provided with a microwave doppler sensor 10, an estimation device 30, and a decision device 40. The microwave doppler sensor 10 measures body movement information in a non-contact manner with the user P, and the body movement information is information on the movement of the body of the user P. The estimation device 30 estimates heartbeat fluctuation information on the basis of the body movement information, and the heartbeat fluctuation information is the information on the fluctuation state of the heartbeat of the user P. The decision device 40 decides the sleep state of the user P on the basis of the heartbeat fluctuation information. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to a sleep state determination system, a sleep state determination method, and a sleep state determination program.

2. Description of the Related Art Conventionally, systems for determining a user's sleep state based on body motion information that is information relating to the movement of the user's body have been proposed (see, for example, Patent Documents 1 and 2). In the technique of Patent Document 1, the sleep state of the user is based on the body motion intensity that is the magnitude of the user's body motion and the body motion stationary time that is the time during which the user's body motion is stationary. It has been judged. In the technique of Patent Document 2, a heart rate is calculated from body motion information, and a user's sleep state is determined based on the heart rate.
Japanese Patent Laid-Open No. 5-95935 (page 1-4, FIG. 1-12) Japanese Patent Laid-Open No. 2000-215 (page 1-4, FIG. 1-2)

However, in the technique of Patent Document 1, it is determined that the REM sleep state is a shallow sleep state if the body motion intensity is equal to or greater than a certain level. Intense body movements may be measured. For this reason, there exists a possibility that a user's sleep state may not be determined correctly.
In the technique of Patent Document 2, since the heart rate is calculated from the body motion information, it is necessary to detect a weak body motion, so a high-sensitivity measuring device is required, and the heart rate is calculated from the body motion information. And a device for calculating heart rate from body motion information are required. For this reason, it tends to be costly to determine the user's sleep state.

  Then, the subject of this invention is providing the sleep state determination system, the sleep state determination method, and sleep state determination program which can determine a user's sleep state at low cost.

  The sleep state determination system according to claim 1 is a sleep state determination system for determining a sleep state of a user, and includes a measurement device, an estimation device, and a determination device. The measuring device measures body movement information. The body movement information is information related to the movement of the user's body. The estimation device estimates heart rate variability information based on body motion information. The heart rate variability information is information related to the fluctuation state of the user's heart rate. The determination device determines the sleep state of the user based on the heart rate variability information.

In this sleep state determination system, the measurement device measures body movement information. The estimation device can receive the body movement information. The estimation device estimates heart rate variability information based on the body motion information. The determination device can receive heart rate variability information. The determination device determines the sleep state of the user based on the heart rate variability information.
Therefore, since the user's sleep state is determined based on the heart rate variability information, the user's sleep state can be determined without calculating the user's heart rate simply by measuring the body motion information. For this reason, since a user's sleep state can be determined with a simple structure, a user's sleep state can be determined at low cost.

A sleep state determination system according to a second aspect is the sleep state determination system according to the first aspect, wherein the estimation device includes a first calculation unit and an estimation unit. The first calculation unit calculates the body movement duration based on the body movement information. The body movement continuation time is a time during which the user's body movement continues. The estimation unit estimates heart rate variability information based on the body movement duration time.
In this sleep state determination system, the measurement device measures body movement information. The 1st calculating part of an estimation apparatus can receive body movement information. The first calculation unit of the estimation device calculates the body movement duration based on the body movement information. The estimation unit of the estimation device can receive information on the duration of body movement. The estimation unit of the estimation device estimates heart rate variability information based on the body movement duration time. The determination device can receive heart rate variability information. The determination device determines the sleep state of the user based on the heart rate variability information.

Therefore, since the heart rate variability information is estimated based on the body motion duration time, the user's sleep state can be determined only by measuring the body motion information without calculating the user's heart rate.
A sleep state determination system according to a third aspect is the sleep state determination system according to the second aspect, wherein the estimation unit determines that the heart rate of the user is greater than or equal to the first predetermined time. Estimate that it is fluctuating. The estimation unit estimates that the heart rate of the user is stable when the body movement continuation time is equal to or shorter than the first predetermined time. The heart rate variability information is information regarding whether or not the user's heart rate is fluctuating.

  In this sleep state determination system, the measurement device measures body movement information. The 1st calculating part of an estimation apparatus can receive body movement information. The first calculation unit of the estimation device calculates the body movement duration based on the body movement information. The estimation unit of the estimation device can receive information on the duration of body movement. The estimation unit of the estimation device estimates that the heart rate of the user is fluctuating when the body movement continuation time is equal to or longer than the first predetermined time. The estimation unit of the estimation device estimates that the user's heart rate is stable when the body movement continuation time is equal to or shorter than the first predetermined time. The determination device can receive heart rate variability information. The heart rate variability information is information regarding whether or not the user's heart rate is fluctuating. The determination device determines the sleep state of the user based on the heart rate variability information.

Therefore, since the information regarding whether or not the user's heart rate is fluctuating is heart rate variability information, the sleep state of the user can be determined with a simple configuration.
A sleep state determination system according to a fourth aspect is the sleep state determination system according to the third aspect, wherein the determination device includes a second calculation unit and a determination unit. The second calculation unit calculates the fluctuation stop time based on the heartbeat fluctuation information. The fluctuation stop time is a time during which the user's heart rate is stable. The determination unit determines the sleep state of the user based on the fluctuation stop time.

  In this sleep state determination system, the measurement device measures body movement information. The 1st calculating part of an estimation apparatus can receive body movement information. The first calculation unit of the estimation device calculates the body movement duration based on the body movement information. The estimation unit of the estimation device can receive information on the duration of body movement. The estimation unit of the estimation device estimates that the heart rate of the user is fluctuating when the body movement continuation time is equal to or longer than the first predetermined time. The estimation unit of the estimation device estimates that the user's heart rate is stable when the body movement continuation time is equal to or shorter than the first predetermined time. The determination device can receive heart rate variability information. The heart rate variability information is information regarding whether or not the user's heart rate is fluctuating. The second calculation unit of the determination device calculates the fluctuation stop time based on the heartbeat fluctuation information. The determination unit of the determination device determines the sleep state of the user based on the fluctuation stop time.

Therefore, since the user's sleep state is determined based on the fluctuation stop time, the user's sleep state can be determined with a simple configuration.
The sleep state determination system according to claim 5 is the sleep state determination system according to claim 4, wherein the determination unit is in the REM sleep state when the fluctuation stop time is equal to or shorter than the second predetermined time. Is determined. The second predetermined time is longer than the first predetermined time. The determination unit determines that the user is in a non-REM sleep state when the fluctuation stop time is equal to or longer than the second predetermined time.

  In this sleep state determination system, the measurement device measures body movement information. The 1st calculating part of an estimation apparatus can receive body movement information. The first calculation unit of the estimation device calculates the body movement duration based on the body movement information. The estimation unit of the estimation device can receive information on the duration of body movement. The estimation unit of the estimation device estimates that the heart rate of the user is fluctuating when the body movement continuation time is equal to or longer than the first predetermined time. The estimation unit of the estimation device estimates that the user's heart rate is stable when the body movement continuation time is equal to or shorter than the first predetermined time. The determination device can receive heart rate variability information. The heart rate variability information is information regarding whether or not the user's heart rate is fluctuating. The second calculation unit of the determination device calculates the fluctuation stop time based on the heartbeat fluctuation information. The determination part of the determination apparatus determines that the user is in the REM sleep state when the fluctuation stop time is equal to or shorter than the second predetermined time. The determination unit of the determination device determines that the user is in a non-REM sleep state when the fluctuation stop time is equal to or longer than the second predetermined time.

Therefore, since the user's sleep state is determined based on whether the variable stop time is equal to or shorter than the second predetermined time or equal to or longer than the second predetermined time, the user's sleep state can be easily determined.
The sleep state determination system according to claim 6 is the sleep state determination system according to any one of claims 3 to 5, wherein the first calculation unit satisfies both the first condition and the second condition. If so, add body movement duration. The first condition is that the size of the user's body movement is a predetermined value or more. The second condition is that the body movement elapsed time is equal to or shorter than a third predetermined time. The body movement elapsed time is an elapsed time from the time when the user's body movement occurred immediately before. The third predetermined time is shorter than the first predetermined time.

  In this sleep state determination system, the measurement device measures body movement information. The 1st calculating part of an estimation apparatus can receive body movement information. The first calculation unit of the estimation device calculates the body movement duration based on the body movement information. The first calculation unit of the estimation device adds the body movement continuation time when both the first condition and the second condition are satisfied. The estimation unit of the estimation device can receive information on the duration of body movement. The estimation unit of the estimation device estimates that the heart rate of the user is fluctuating when the body movement continuation time is equal to or longer than the first predetermined time. The estimation unit of the estimation device estimates that the user's heart rate is stable when the body movement continuation time is equal to or shorter than the first predetermined time. The determination device can receive heart rate variability information. The heart rate variability information is information regarding whether or not the user's heart rate is fluctuating. The determination device determines the sleep state of the user based on the heart rate variability information.

Therefore, since the body movement continuation time is added when both the first condition and the second condition are satisfied, the body movement continuation time can be calculated with a simple configuration.
A sleep state determination system according to a seventh aspect is the sleep state determination system according to the sixth aspect, wherein the first calculation unit resets the body movement duration when the second condition is not satisfied.

  In this sleep state determination system, the measurement device measures body movement information. The 1st calculating part of an estimation apparatus can receive body movement information. The first calculation unit of the estimation device calculates the body movement duration based on the body movement information. The first calculation unit of the estimation device adds the body movement continuation time when both the first condition and the second condition are satisfied. The first calculation unit of the estimation device resets the body movement continuation time when the second condition is not satisfied. The estimation unit of the estimation device can receive information on the duration of body movement. The estimation unit of the estimation device estimates that the heart rate of the user is fluctuating when the body movement continuation time is equal to or longer than the first predetermined time. The estimation unit of the estimation device estimates that the user's heart rate is stable when the body movement continuation time is equal to or shorter than the first predetermined time. The determination device can receive heart rate variability information. The heart rate variability information is information regarding whether or not the user's heart rate is fluctuating. The determination device determines the sleep state of the user based on the heart rate variability information.

Therefore, since the body movement continuation time is reset when the second condition is not satisfied, the body movement continuation time can be calculated with a simple configuration.
The sleep state determination system according to an eighth aspect is the sleep state determination system according to any one of the first to seventh aspects, wherein the measurement device measures the body movement information without contact with the user.
In this sleep state determination system, the measurement device measures body movement information without contact with the user. The estimation device can receive the body movement information. The estimation device estimates heart rate variability information based on the body motion information. The determination device can receive heart rate variability information. The determination device determines the sleep state of the user based on the heart rate variability information.

Therefore, since the body motion information is measured without contact with the user, the body motion information can be measured without imposing a burden on the user.
A sleep state determination system according to a ninth aspect is the sleep state determination system according to the eighth aspect, wherein the measurement device includes a transmission unit and a reception unit. A transmission part transmits a microwave toward a user. The receiving unit receives the reflected wave. The reflected wave is a wave reflected by the user.

  In this sleep state determination system, the transmitter of the measuring device transmits a microwave toward the user. The receiving unit of the measuring device receives the reflected wave. Thereby, body motion information can be acquired. The estimation device can receive the body movement information. The estimation device estimates heart rate variability information based on the body motion information. The determination device can receive heart rate variability information. The determination device determines the sleep state of the user based on the heart rate variability information.

Therefore, since the reflected wave is received, the body motion information can be measured without contact with the user.
A sleep state determination system according to a tenth aspect is the sleep state determination system according to the ninth aspect, wherein the measurement device further includes a third calculation unit. The third calculation unit calculates change information. The change information is information regarding a change in the reflected wave signal with respect to the microwave signal.

  In this sleep state determination system, the transmitter of the measuring device transmits a microwave toward the user. The receiving unit of the measuring device receives the reflected wave. The third calculation unit of the measurement apparatus can receive a microwave signal. The third calculation unit of the measurement apparatus can receive the reflected wave signal. A third calculation unit of the measuring device calculates change information. The change information is information related to a change in the reflected wave signal with respect to the microwave signal. Thereby, body motion information can be acquired. The estimation device can receive the body movement information. The estimation device estimates heart rate variability information based on the body motion information. The determination device can receive heart rate variability information. The determination device determines the sleep state of the user based on the heart rate variability information.

Therefore, since change information is calculated, body motion information can be calculated using the Doppler effect. For this reason, body motion information can be measured.
Note that the change information is, for example, information about a change in frequency, information about a change in wavelength, information about a change in spread of a spectral line, and the like.
A sleep state determination method according to an eleventh aspect is a sleep state determination method in which a user's sleep state is determined, and includes a measurement step, an estimation step, and a determination step. In the measurement step, the body movement information is measured without contact with the user. The body movement information is information related to the movement of the user's body. In the estimation step, heart rate variability information is estimated based on the body motion information. The heart rate variability information is information related to the fluctuation state of the user's heart rate. In the determination step, the sleep state of the user is determined based on the heart rate variability information.

  In this sleep state determination method, body motion information is measured in a contactless manner to the user in the measurement step. In the estimation step, body motion information may be received. In the estimation step, heart rate variability information is estimated based on the body motion information. In the determining step, heart rate variability information may be received. In the determination step, the sleep state of the user is determined based on the heart rate variability information.

Therefore, since the user's sleep state is determined based on the heart rate variability information, the user's sleep state can be determined without calculating the user's heart rate simply by measuring the body motion information. For this reason, since a user's sleep state can be determined with a simple structure, a user's sleep state can be determined at low cost.
A sleep state determination program according to a twelfth aspect is a sleep state determination program that causes a computer to determine a sleep state of a user, and includes a measurement step, an estimation step, and a determination step. In the measurement step, the body movement information is measured without contact with the user. The body movement information is information related to the movement of the user's body. In the estimation step, heart rate variability information is estimated based on the body motion information. The heart rate variability information is information related to the fluctuation state of the user's heart rate. In the determination step, the sleep state of the user is determined based on the heart rate variability information.

  In this sleep state determination program, body movement information is measured in a contactless manner to the user in the measurement step. In the estimation step, body motion information may be received. In the estimation step, heart rate variability information is estimated based on the body motion information. In the determining step, heart rate variability information may be received. In the determination step, the sleep state of the user is determined based on the heart rate variability information.

  Therefore, since the user's sleep state is determined based on the heart rate variability information, the user's sleep state can be determined without calculating the user's heart rate simply by measuring the body motion information. For this reason, since a user's sleep state can be determined with a simple structure, a user's sleep state can be determined at low cost.

In the sleep state determination system according to claim 1, since the user's sleep state is determined based on the heart rate variability information, the user's sleep state can be calculated without measuring the user's heart rate only by measuring body motion information. Can be determined. For this reason, since a user's sleep state can be determined with a simple structure, a user's sleep state can be determined at low cost.
In the sleep state determination system according to claim 2, since the heart rate variability information is estimated based on the body movement continuation time, the user's sleep state can be calculated without calculating the user's heart rate only by measuring the body movement information. Can be determined.

In the sleep state determination system according to the third aspect, the information regarding whether or not the user's heart rate fluctuates is heart rate variability information. Therefore, the user's sleep state can be determined with a simple configuration.
In the sleep state determination system according to the fourth aspect, since the user's sleep state is determined based on the fluctuation stop time, the user's sleep state can be determined with a simple configuration.

In the sleep state determination system according to claim 5, since the user's sleep state is determined based on whether the fluctuation stop time is equal to or shorter than the second predetermined time or equal to or longer than the second predetermined time, the sleep state of the user is determined. It can be easily determined.
In the sleep state determination system according to claim 6, since the body movement duration is added when both the first condition and the second condition are satisfied, the body movement duration can be calculated with a simple configuration. it can.

In the sleep state determination system according to the seventh aspect, since the body movement duration is reset when the second condition is not satisfied, the body movement duration can be calculated with a simple configuration.
In the sleep state determination system according to the eighth aspect, since the body motion information is measured without contact with the user, the body motion information can be measured without imposing a burden on the user.
In the sleep state determination system according to the ninth aspect, since the reflected wave is received, the body motion information can be measured without contact with the user.

In the sleep state determination system according to claim 10, since the change information is calculated, the body motion information can be calculated using the Doppler effect. For this reason, body motion information can be measured.
In the sleep state determination method according to claim 11, since the user's sleep state is determined based on the heart rate variability information, the user's sleep state can be calculated without measuring the user's heart rate only by measuring body motion information. Can be determined. For this reason, since a user's sleep state can be determined with a simple structure, a user's sleep state can be determined at low cost.

  In the sleep state determination program according to claim 12, since the user's sleep state is determined based on the heart rate variability information, the user's sleep state can be calculated without measuring the user's heart rate simply by measuring body motion information. Can be determined. For this reason, since a user's sleep state can be determined with a simple structure, a user's sleep state can be determined at low cost.

[First Embodiment]
The conceptual diagram of the sleep state determination system 1 which concerns on 1st Embodiment of this invention is shown in FIG. Moreover, the block diagram of the component of the sleep state determination system 1 which concerns on 1st Embodiment of this invention is shown in FIG. The sleep state determination system 1 shown in FIG. 1 is a system for mainly determining the sleep state of the user P.

<Overall configuration of sleep state determination system 1>
As shown in FIG. 1, the sleep state determination system 1 mainly includes a bed 20, an estimation device 30, and a determination device 40. On the bed 20, the user P sleeps.
<Composition of bed 20>
The bed 20 shown in FIG. 1 mainly includes a microwave Doppler sensor 10 as shown in FIG. The microwave Doppler sensor 10 mainly includes a transmission unit 11, a reception unit 12, a processing unit 13, and a third calculation unit 14.

  The transmission unit 11 of the microwave Doppler sensor 10 illustrated in FIG. 2 transmits the microwave toward the user P (see FIG. 1). Microwaves have the property of being transmitted through the bed 20, clothes such as cloth, feathers, chemical fibers, etc., and reflected by the body surface, metal, or the like. The receiving unit 12 receives the reflected wave. Here, the reflected wave is a wave reflected from the body surface of the user P (see FIG. 1). That is, the microwave Doppler sensor 10 acquires a microwave and a reflected wave without contacting the user P (see FIG. 1). The third calculation unit 14 receives a microwave signal from the transmission unit 11 via the processing unit 13. The third computing unit 14 receives the reflected wave signal from the receiving unit 12 via the processing unit 13. The 3rd calculating part 14 calculates change information (refer FIG. 8, FIG. 9). The change information (see FIGS. 8 and 9) is information regarding the change in the reflected wave signal with respect to the microwave signal. The 3rd calculating part 14 makes change information (refer FIG. 8, FIG. 9) the information of the magnitude | size of a body movement. The processing unit 13 receives information on the magnitude of body movement (see FIGS. 8 and 9) from the third calculation unit 14 and passes the information to the estimation device 30.

<Configuration of Estimation Device 30>
The estimation device 30 shown in FIG. 1 mainly includes a first calculation unit 31, a processing unit 32, and an estimation unit 33, as shown in FIG.
The first calculation unit 31 illustrated in FIG. 2 receives information on the magnitude of body movement (see FIGS. 8 and 9) from the microwave Doppler sensor 10 of the bed 20 via the processing unit 32. The first calculation unit 31 calculates the body movement duration (see T13 in FIG. 8) based on the information on the size of the body movement (see FIGS. 8 and 9). Here, the body movement continuation time (see T13 in FIG. 8) is a time during which the body movement of the user P (see FIG. 1) continues. That is, the first calculation unit 31 determines whether both the first condition and the second condition are satisfied. Here, the first condition is that the magnitude of the body movement of the user P (see FIG. 1) is not less than a predetermined value (see M1 in FIG. 8). The second condition is that the body movement elapsed time (see T11 and T12 in FIG. 8 and T14 and T15 in FIG. 9) is equal to or shorter than the third predetermined time (see T3 in FIG. 8). The body movement elapsed time (see T11 and T12 in FIG. 8 and T14 and T15 in FIG. 9) is an elapsed time from the time when the body movement of the user P (see FIG. 1) occurred immediately before. When the first calculation unit 31 determines that both the first condition and the second condition are satisfied (see FIG. 8), the body movement continuation time (see T11 and T12 in FIG. 8) is added. Alternatively, the first calculation unit 31 determines whether the second condition is satisfied. When the first calculation unit 31 determines that the second condition is not satisfied (see FIG. 9), the body movement continuation time (see T14 in FIG. 9) is reset.

  The estimation unit 33 illustrated in FIG. 2 receives information on body movement continuation time (see T13 in FIG. 8) from the first calculation unit 31 via the processing unit 32. The estimation unit 33 estimates heart rate variability information (see FIG. 10) based on the body movement duration (see T13 in FIG. 8). Here, the heart rate variability information (see FIG. 10) is information regarding whether or not the heart rate of the user P (see FIG. 1) is fluctuating. That is, the estimation unit 33 determines whether or not the body movement continuation time (see T13 in FIG. 8) is equal to or longer than the first predetermined time (see T1 in FIG. 10). When the estimation unit 33 determines that the body movement duration (see T13 in FIG. 8) is equal to or longer than the first predetermined time (see T1 in FIG. 10), the heart rate of the user P (see FIG. 1) varies. The heart rate variability information (see FIG. 10) is assumed to be information indicating that the heart rate is fluctuating. When the estimation unit 33 determines that the body movement duration (see T13 in FIG. 8) is equal to or shorter than the first predetermined time (see T1 in FIG. 10), the estimation unit 33 estimates that the user's heart rate is stable. The heart rate variability information (see FIG. 10) is information indicating that the heart rate is stable. The processing unit 32 receives the heart rate variability information (see FIG. 10) from the estimation unit 33 and passes it to the determination device 40.

<Configuration of Determination Device 40>
As shown in FIG. 2, the determination device 40 illustrated in FIG. 1 mainly includes a second calculation unit 41, a processing unit 42, and a determination unit 43.
2 receives the heart rate variability information (see FIG. 10) from the estimation device 30 via the processing unit 42. The second calculation unit 41 calculates the fluctuation stop time (see T21 and T22 in FIG. 11) based on the heartbeat fluctuation information (see FIG. 10). Here, the fluctuation stop time (see T21 and T22 in FIG. 11) is a time during which the heart rate of the user P (see FIG. 1) is stable. The second calculation unit 41 passes information on the fluctuation stop time (see T21 and T22 in FIG. 11) to the processing unit 42.

  The determination unit 43 illustrated in FIG. 2 receives information on the fluctuation stop time (see T21 and T22 in FIG. 11) from the processing unit 42. The determination unit 43 determines the sleep state of the user P (see FIG. 1) based on the fluctuation stop time (see T21 and T22 in FIG. 11). That is, the determination unit 43 determines whether or not the fluctuation stop time (see T21 and T22 in FIG. 11) is equal to or longer than the second predetermined time (see T2 in FIG. 12). When the determination unit 43 determines that the fluctuation stop time (see T21 and T22 in FIG. 11) is equal to or longer than the second predetermined time (see T2 in FIG. 12), the user P (see FIG. 1) is in the non-REM sleep state. Judge that there is. When the determination unit 43 determines that the fluctuation stop time (see T21 and T22 in FIG. 11) is equal to or shorter than the second predetermined time (see T2 in FIG. 12), the user P (see FIG. 1) is in the REM sleep state. Judge that there is.

<Configuration of change information>
The change information calculated by the third calculation unit 14 illustrated in FIG. 2 is information regarding a change in the signal related to the reflected wave with respect to the signal related to the microwave. That is, if the user P (see FIG. 1) has a body motion, the frequency of the signal related to the reflected wave changes with respect to the signal related to the microwave. Therefore, using the Doppler effect, It is possible to detect the presence or absence of body movement. The temporal transition of the change information is, for example, a graph 92 shown in FIG. 8 or a graph 93 shown in FIG.

<Flow of processing in which sleep state determination system 1 determines the sleep state of user P>
A flow of processing in which the sleep state determination system 1 illustrated in FIG. 1 determines the sleep state of the user P will be described with reference to the flowchart illustrated in FIG. 3.
In step S <b> 1 shown in FIG. 3, the user P sleeps. That is, sleep is performed on the bed 20 by the user P shown in FIG.

In step S2 shown in FIG. 3, a microwave is transmitted. That is, the microwave is transmitted toward the user P (see FIG. 1) by the transmission unit 11 of the microwave Doppler sensor 10 of the bed 20 illustrated in FIG. Microwaves have the property of being transmitted through the bed 20, clothes such as cloth, feathers, chemical fibers, etc., and reflected by the body surface, metal, or the like.
In step S3 shown in FIG. 3, the reflected wave is received. That is, the reflected wave is received by the receiving unit 12 of the microwave Doppler sensor 10 of the bed 20 shown in FIG. Here, the reflected wave is a wave reflected from the body surface of the user P (see FIG. 1).

  In step S4 shown in FIG. 3, change information is calculated. That is, a microwave signal is received from the transmission unit 11 via the processing unit 13 by the third calculation unit 14 of the microwave Doppler sensor 10 of the bed 20 illustrated in FIG. 2. The third computing unit 14 receives a reflected wave signal from the receiving unit 12 via the processing unit 13. The third calculation unit 14 calculates change information (see FIGS. 8 and 9). The change information (see FIGS. 8 and 9) is information regarding the change in the reflected wave signal with respect to the microwave signal. The third calculator 14 further calculates the Doppler frequency (see F2 in FIG. 8) at the peak of the change information (see FIGS. 8 and 9), and the information on the Doppler frequency at the peak (see F2 in FIG. 8) Information. Information on the magnitude of body movement (see FIGS. 8 and 9) is received from the third calculation unit 14 by the processing unit 13 and passed to the estimation device 30.

In step S5 shown in FIG. 3, body movement duration calculation processing is performed. In step S6, heart rate variability information estimation processing is performed. In step S7, a fluctuation stop time calculation process is performed. In step S8, a sleep state determination process is performed.
In step S9 shown in FIG. 3, it is determined whether or not the user P gets up. If it is determined that the user P is to wake up, the process is terminated. If it is determined that the user P does not wake up, the process proceeds to step S1.

<Body motion duration calculation processing>
Details of the body movement duration calculation processing S5 shown in FIG. 3 will be described with reference to the flowchart shown in FIG.
In step S11 shown in FIG. 4, it is determined whether the body movement elapsed time is greater than zero. That is, information on the magnitude of body movement (see FIGS. 8 and 9) is received from the microwave Doppler sensor 10 of the bed 20 via the processing unit 32 by the first calculation unit 31 of the estimation device 30 shown in FIG. . The first calculation unit 31 of the estimation device 30 determines whether the body movement elapsed time (see T11 and T12 in FIG. 8 and T14 and T15 in FIG. 9) is greater than zero. If it is determined that the body movement elapsed time is greater than 0, the process proceeds to step S12. If it is determined that the body movement elapsed time is not greater than 0, that is, 0 or less, the process is terminated.

  In step S12 shown in FIG. 4, it is determined whether the body movement elapsed time is equal to or shorter than a third predetermined time. That is, the first calculation unit 31 of the estimation device 30 shown in FIG. 2 causes the body movement elapsed time (see T11 and T12 in FIG. 8, T14 and T15 in FIG. 9) to be equal to or less than the third predetermined time (see T3 in FIG. 8). It is determined whether or not. When it is determined that the body movement elapsed time is equal to or shorter than the third predetermined time, the process proceeds to step S13 shown in FIG. 4, and when it is determined that the body movement elapsed time is equal to or longer than the third predetermined time, the process proceeds to step S16. It is done.

  In step S13 shown in FIG. 4, it is determined whether or not the magnitude of the body movement is a predetermined value or more. That is, the first calculation unit 31 of the estimation device 30 shown in FIG. 2 determines whether or not the magnitude of the body movement of the user P (see FIG. 1) is equal to or greater than a predetermined value (see M1 in FIG. 8). The When it is determined that the magnitude of the body movement is equal to or greater than the predetermined value, the process proceeds to step S14 shown in FIG. 4, and when it is determined that the magnitude of the body movement is not equal to or greater than the predetermined value, the process is terminated.

  In step S14 shown in FIG. 4, the body movement continuation time is added. That is, the first operation unit 31 of the estimation device 30 shown in FIG. 2 adds the body movement continuation time (see T11 and T12 in FIG. 8). For example, consider a case where the change in the magnitude of body movement with the passage of time becomes as shown by a graph 92 in FIG. It is assumed that the body movement continuation time is 0 at the time t1 when the peak 81 of M1 or more is observed. Since the body movement elapsed time T11 is smaller than the third predetermined time T3 at the time t2 when the peak 82 of M1 or more is observed, the time T11 obtained by adding the body movement elapsed time T11 to the time 0 is set as the body movement continuation time. The Since the body movement elapsed time T12 is smaller than the third predetermined time T3 at the time t3 when the peak 83 of M1 or more is observed, the time T13 obtained by adding the body movement elapsed time T12 to the time T11 is set as the body movement continuation time. The

In step S15 shown in FIG. 4, measurement of body movement elapsed time is started. That is, the first operation unit 31 of the estimation device 30 shown in FIG. 2 resets the body movement elapsed time (see T11 and T12 in FIG. 8, T14 and T15 in FIG. 9), and the body movement elapsed time (T11 in FIG. 8). , T12, and T14 and T15 in FIG. 9) are started.
In step S16 shown in FIG. 4, the body movement continuation time and the body movement elapsed time are reset. That is, the first calculation unit 31 of the estimation device 30 shown in FIG. 2 uses the body movement continuation time (see T14 in FIG. 10) and the body movement elapsed time (see T11 and T12 in FIG. 8, T14 and T15 in FIG. 9). Is reset. For example, consider a case where the change in the magnitude of body movement with the passage of time becomes as shown by a graph 93 in FIG. It is assumed that the body movement duration time is 0 at time t4 when the peak 84 of M1 or more is observed. Since the body movement elapsed time T14 is smaller than the third predetermined time T3 at the time t5 when the peak 85 of M1 or more is observed, the time T14 obtained by adding the body movement elapsed time T14 to the time 0 is set as the body movement continuation time. The Since the body movement elapsed time T15 is equal to or longer than the third predetermined time T3 at the time t6 when the third predetermined time T3 has elapsed from the time t5, the body movement continuation time T14 and the body movement elapsed time T3 are reset, and the body movement continuation time. And body movement elapsed time become zero.

<Heart rate variability information estimation process>
Details of the heart rate variability information estimation process S6 shown in FIG. 3 will be described using the flowchart shown in FIG.
In step S21 shown in FIG. 5, it is determined whether the body movement continuation time is equal to or longer than the first predetermined time. That is, the information on the body movement continuation time (see T13 in FIG. 8) is received from the first calculation unit 31 via the processing unit 32 by the estimation unit 33 of the estimation device 30 illustrated in FIG. The estimation unit 33 determines whether the body movement continuation time (see T13 in FIG. 8) is equal to or longer than the first predetermined time (see T1 in FIG. 10). When it is determined that the body movement continuation time is equal to or longer than the first predetermined time, the process proceeds to step S22. When it is determined that the body movement continuation time is equal to or shorter than the first predetermined time, the process proceeds to step S23.

  In step S22 shown in FIG. 5, it is estimated that the heart rate fluctuates. That is, the estimation unit 33 of the estimation device 30 shown in FIG. 2 estimates that the heart rate of the user P (see FIG. 1) is fluctuating. The estimation unit 33 uses the heart rate variability information (see FIG. 10) as information indicating that the heart rate is changing. The processing unit 32 receives heart rate variability information (see FIG. 10) from the estimation unit 33 and passes it to the determination device 40.

  In step S23 shown in FIG. 5, it is estimated that the heart rate is stable. That is, the estimation unit 33 of the estimation apparatus 30 shown in FIG. 2 estimates that the heart rate of the user P (see FIG. 1) is stable. The estimation unit 33 uses the heart rate variability information (see FIG. 10) as information indicating that the heart rate is stable. The processing unit 32 receives heart rate variability information (see FIG. 10) from the estimation unit 33 and passes it to the determination device 40.

<Variation stop time calculation processing>
Details of the fluctuation stop time calculation processing S7 shown in FIG. 3 will be described with reference to the flowchart shown in FIG.
In step S31 shown in FIG. 6, it is determined whether or not the heart rate is stable. That is, the heart rate variability information (see FIG. 10) is received from the estimation device 30 via the processing unit 42 by the second calculation unit 41 of the determination device 40 illustrated in FIG. The second calculation unit 41 determines whether or not the heart rate of the user P (see FIG. 1) is stable based on the heart rate variability information (see FIG. 10). If it is determined that the heart rate is stable, the process proceeds to step S32. If it is determined that the heart rate is not stable, the process proceeds to step S33.

  In step S32 shown in FIG. 6, the fluctuation stop time is added. That is, the fluctuation stop time (see T21 and T22 in FIG. 11) is added by the second calculation unit 41 of the determination device 40 shown in FIG. For example, consider a case where the change in the heart rate fluctuation state with the passage of time becomes as shown in the graph 94 in FIG. At time t20, the heart rate changes from a fluctuating state to a stable state, and the fluctuation stop time starts to be added from zero. From time t20 to t21, the fluctuation stop time is added, and at time t21, the fluctuation stop time becomes T21. At time t22, the heart rate changes from a fluctuating state to a stable state, and fluctuation stop time starts to be added from zero. From time t22 to t23, the fluctuation stop time is added, and at time t23, the fluctuation stop time becomes T22.

  In step S33 shown in FIG. 6, the fluctuation stop time is reset. That is, the fluctuation stop time (see T21 and T22 in FIG. 11) is reset by the second calculation unit 41 of the determination device 40 shown in FIG. For example, consider a case where the change in the heart rate fluctuation state with the passage of time becomes as shown in the graph 94 in FIG. At time t21, the heart rate changes from a stable state to a fluctuating state, the fluctuation stop time is reset from T21, and the fluctuation stop time becomes zero. At time t23, the heart rate changes from a stable state to a fluctuating state, the fluctuation stop time is reset from T22, and the fluctuation stop time becomes zero.

<Sleep state determination processing>
The details of the sleep state determination process S8 shown in FIG. 3 will be described using the flowchart shown in FIG.
In step S41 shown in FIG. 7, it is determined whether or not the variable stop time is equal to or longer than a second predetermined time. That is, the determination unit 43 of the determination device 40 shown in FIG. 2 receives information on the fluctuation stop time (see T21 and T22 in FIG. 11) from the second calculation unit 41 via the processing unit 42. The determination unit 43 determines whether or not the fluctuation stop time (see T21 and T22 in FIG. 11) is equal to or longer than a second predetermined time (see T2 in FIG. 12). When it is determined that the variable stop time is equal to or longer than the second predetermined time, the process proceeds to step S42, and when it is determined that the variable stop time is equal to or shorter than the second predetermined time, the process proceeds to step S43.

In step S42 shown in FIG. 7, it is determined that the user is in a non-REM sleep state. That is, the determination unit 43 of the determination device 40 illustrated in FIG. 2 determines that the user P (see FIG. 1) is in a non-REM sleep state.
In step S43 shown in FIG. 7, it is determined that the patient is in the REM sleep state. That is, the determination unit 43 of the determination device 40 illustrated in FIG. 2 determines that the user P (see FIG. 1) is in the REM sleep state.

<Characteristics concerning sleep state determination system 1>
(1)
Here, the microwave Doppler sensor 10 of the bed 20 shown in FIG. 2 measures body movement information (see FIGS. 8 and 9) which is information relating to the body movement of the user P (see FIG. 1). The estimation device 30 receives body movement information (see FIGS. 8 and 9) from the microwave Doppler sensor 10 of the bed 20. The estimation device 30 estimates heart rate variability information (see FIG. 10) based on body motion information (see FIGS. 8 and 9). The determination device 40 receives heart rate variability information (see FIG. 10) from the estimation device 30. The determination device 40 determines the sleep state of the user P (see FIG. 1) based on the heartbeat fluctuation information (see FIG. 10).

  Therefore, since the sleep state of the user P (see FIG. 1) is determined based on the heart rate variability information (see FIG. 10), the user P (see FIG. 8) is measured only by measuring the body motion information (see FIGS. 8 and 9). 1), the sleep state of the user P (see FIG. 1) can be determined without calculating the heart rate. For this reason, since it is possible to determine the sleep state of the user P (see FIG. 1) with a simple configuration, it is possible to determine the sleep state of the user P (see FIG. 1) at low cost. .

(2)
Here, the microwave Doppler sensor 10 of the bed 20 shown in FIG. 2 measures body movement information (see FIGS. 8 and 9). The first calculation unit 31 of the estimation device 30 receives body movement information (see FIGS. 8 and 9) from the microwave Doppler sensor 10 of the bed 20 via the processing unit 32. The 1st calculating part 31 of the estimation apparatus 30 calculates body movement continuation time (refer T13 of FIG. 8) based on body movement information (refer FIG. 8, FIG. 9). The estimation unit 33 of the estimation device 30 receives information on body movement continuation time (see T13 in FIG. 8) from the first calculation unit 31 via the processing unit 32. The estimation unit 33 of the estimation device 30 estimates heart rate variability information (see FIG. 10) based on the body motion duration (see T13 in FIG. 8). The determination device 40 receives heart rate variability information (see FIG. 10) from the estimation unit 33 of the estimation device 30 via the processing unit 32 of the estimation device 30. The determination device 40 determines the sleep state of the user P (see FIG. 1) based on the heartbeat fluctuation information (see FIG. 10).

Therefore, since the heart rate variability information (see FIG. 10) is estimated based on the body motion duration (see T13 in FIG. 8), the user P (see FIG. 8) simply measures the body motion information (see FIGS. 8 and 9). 1), the sleep state of the user P (see FIG. 1) can be determined without calculating the heart rate.
(3)
Here, the microwave Doppler sensor 10 of the bed 20 shown in FIG. 2 measures body movement information (see FIGS. 8 and 9). The first calculation unit 31 of the estimation device 30 receives body movement information (see FIGS. 8 and 9) from the microwave Doppler sensor 10 of the bed 20 via the processing unit 32. The 1st calculating part 31 of the estimation apparatus 30 calculates body movement continuation time (refer T13 of FIG. 8) based on body movement information (refer FIG. 8, FIG. 9). The estimation unit 33 of the estimation device 30 receives information on body movement continuation time (see T13 in FIG. 8) from the first calculation unit 31 via the processing unit 32. When the estimation unit 33 of the estimation device 30 has a body movement duration (see T13 in FIG. 8) equal to or longer than a first predetermined time (see T1 in FIG. 10), the heart rate of the user P (see FIG. 1) is Estimate that it is fluctuating. The estimation unit 33 of the estimation device 30 determines that the heart rate of the user P (see FIG. 1) is equal to or less than the first predetermined time (see T1 in FIG. 10) of the body movement continuation time (see T13 in FIG. 8). Estimated to be stable. The determination device 40 receives heart rate variability information (see FIG. 10) from the estimation unit 33 of the estimation device 30 via the processing unit 32 of the estimation device 30. The determination device 40 determines the sleep state of the user P (see FIG. 1) based on the heartbeat fluctuation information (see FIG. 10).

Therefore, since the information regarding whether or not the heart rate of the user P (see FIG. 1) fluctuates is the heart rate fluctuation information (see FIG. 10), the sleep state of the user P (see FIG. 1) with a simple configuration. Can be determined.
(4)
Here, the microwave Doppler sensor 10 of the bed 20 shown in FIG. 2 measures body movement information (see FIGS. 8 and 9). The first calculation unit 31 of the estimation device 30 receives body movement information (see FIGS. 8 and 9) from the microwave Doppler sensor 10 of the bed 20 via the processing unit 32. The 1st calculating part 31 of the estimation apparatus 30 calculates body movement continuation time (refer T13 of FIG. 8) based on body movement information (refer FIG. 8, FIG. 9). The estimation unit 33 of the estimation device 30 receives information on body movement continuation time (see T13 in FIG. 8) from the first calculation unit 31 via the processing unit 32. When the estimation unit 33 of the estimation device 30 has a body movement duration (see T13 in FIG. 8) equal to or longer than a first predetermined time (see T1 in FIG. 10), the heart rate of the user P (see FIG. 1) is Estimate that it is fluctuating. The estimation unit 33 of the estimation device 30 determines that the heart rate of the user P (see FIG. 1) is equal to or less than the first predetermined time (see T1 in FIG. 10) of the body movement continuation time (see T13 in FIG. 8). Estimated to be stable. The determination device 40 receives heart rate variability information (see FIG. 10) from the estimation unit 33 of the estimation device 30 via the processing unit 32 of the estimation device 30. Here, the heart rate variability information (see FIG. 10) is information regarding whether or not the heart rate of the user P (see FIG. 1) is fluctuating. The second calculation unit 41 of the determination device 40 calculates the fluctuation stop time (see T21 and T22 in FIG. 11) based on the heartbeat fluctuation information (see FIG. 10). The determination unit 43 of the determination device 40 receives information on the fluctuation stop time (see T21 and T22 in FIG. 11) from the second calculation unit 41 via the processing unit 42. The determination unit 43 of the determination device 40 determines the sleep state of the user P (see FIG. 1) based on the fluctuation stop time (see T21 and T22 in FIG. 11).

Therefore, since the sleep state of the user P (see FIG. 1) is determined based on the fluctuation stop time (see T21 and T22 in FIG. 11), the sleep state of the user P (see FIG. 1) is determined with a simple configuration. Is possible.
(5)
Here, the microwave Doppler sensor 10 of the bed 20 shown in FIG. 2 measures body movement information (see FIGS. 8 and 9). The first calculation unit 31 of the estimation device 30 receives body movement information (see FIGS. 8 and 9) from the microwave Doppler sensor 10 of the bed 20 via the processing unit 32. The 1st calculating part 31 of the estimation apparatus 30 calculates body movement continuation time (refer T13 of FIG. 8) based on body movement information (refer FIG. 8, FIG. 9). The estimation unit 33 of the estimation device 30 receives information on body movement continuation time (see T13 in FIG. 8) from the first calculation unit 31 via the processing unit 32. When the estimation unit 33 of the estimation device 30 has a body movement duration (see T13 in FIG. 8) equal to or longer than a first predetermined time (see T1 in FIG. 10), the heart rate of the user P (see FIG. 1) is Estimate that it is fluctuating. The estimation unit 33 of the estimation device 30 determines that the heart rate of the user P (see FIG. 1) is equal to or less than the first predetermined time (see T1 in FIG. 10) of the body movement continuation time (see T13 in FIG. 8). Estimated to be stable. The determination device 40 receives heart rate variability information (see FIG. 10) from the estimation unit 33 of the estimation device 30 via the processing unit 32 of the estimation device 30. Here, the heart rate variability information (see FIG. 10) is information regarding whether or not the heart rate of the user P (see FIG. 1) is fluctuating. The second calculation unit 41 of the determination device 40 calculates the fluctuation stop time (see T21 and T22 in FIG. 11) based on the heartbeat fluctuation information (see FIG. 10). The determination unit 43 of the determination device 40 receives information on the fluctuation stop time (see T21 and T22 in FIG. 11) from the second calculation unit 41 via the processing unit 42. When the determination unit 43 of the determination device 40 has the fluctuation stop time (see T21 and T22 in FIG. 11) equal to or shorter than the second predetermined time (see T2 in FIG. 12), the user P (see FIG. 1) is in the REM sleep state. It is determined that When the determination unit 43 of the determination device 40 has the fluctuation stop time (see T21 and T22 in FIG. 11) equal to or longer than the second predetermined time (see T2 in FIG. 12), the user P (see FIG. 1) is in the non-REM sleep state. It is determined that

Therefore, the user is based on whether the variable stop time (see T21 and T22 in FIG. 11) is equal to or shorter than the second predetermined time (see T2 in FIG. 12) or longer than the second predetermined time (see T2 in FIG. 12). Since the sleep state of P (see FIG. 1) is determined, the sleep state of the user P (see FIG. 1) can be easily determined.
(6)
Here, the microwave Doppler sensor 10 of the bed 20 shown in FIG. 2 measures body movement information (see FIGS. 8 and 9). The first calculation unit 31 of the estimation device 30 receives body movement information (see FIGS. 8 and 9) from the microwave Doppler sensor 10 of the bed 20 via the processing unit 32. The 1st calculating part 31 of the estimation apparatus 30 calculates body movement continuation time (refer T13 of FIG. 8) based on body movement information (refer FIG. 8, FIG. 9). When both the first condition and the second condition are satisfied (see FIG. 8), the first calculation unit 31 of the estimation device 30 adds the body movement continuation time (see T11 in FIG. 8). Here, the first condition is that the magnitude of the body movement of the user P (see FIG. 1) is not less than a predetermined value (see M1 in FIG. 8). The second condition is that the body movement elapsed time (see T11 and T12 in FIG. 8 and T14 and T15 in FIG. 9) is equal to or shorter than the third predetermined time (see T3 in FIG. 8). The estimation unit 33 of the estimation device 30 receives information on body movement continuation time (see T13 in FIG. 8) from the first calculation unit 31 via the processing unit 32. When the estimation unit 33 of the estimation device 30 has a body movement duration (see T13 in FIG. 8) equal to or longer than a first predetermined time (see T1 in FIG. 10), the heart rate of the user P (see FIG. 1) is Estimate that it is fluctuating. The estimation unit 33 of the estimation device 30 determines that the heart rate of the user P (see FIG. 1) is equal to or less than the first predetermined time (see T1 in FIG. 10) of the body movement continuation time (see T13 in FIG. 8). Estimated to be stable. The determination device 40 receives heart rate variability information (see FIG. 10) from the estimation device 30. Here, the heart rate variability information (see FIG. 10) is information regarding whether or not the heart rate of the user P (see FIG. 1) is fluctuating. The determination device 40 determines the sleep state of the user P (see FIG. 1) based on the heartbeat fluctuation information (see FIG. 10).

Accordingly, when both the first condition and the second condition are satisfied (see FIG. 8), the body movement duration (see T11 and T12 in FIG. 8) is added, so the body movement duration with a simple configuration. (See T13 in FIG. 8) can be calculated.
(7)
Here, the microwave Doppler sensor 10 of the bed 20 shown in FIG. 2 measures body movement information (see FIGS. 8 and 9). The first calculation unit 31 of the estimation device 30 receives body movement information (see FIGS. 8 and 9) from the microwave Doppler sensor 10 of the bed 20 via the processing unit 32. The 1st calculating part 31 of the estimation apparatus 30 calculates body movement continuation time (refer T13 of FIG. 8) based on body movement information (refer FIG. 8, FIG. 9). When both the first condition and the second condition are satisfied (see FIG. 8), the first calculation unit 31 of the estimation device 30 adds the body movement continuation time (see T11 and T12 in FIG. 8). . Here, the first condition is that the magnitude of the body movement of the user P (see FIG. 1) is not less than a predetermined value (see M1 in FIG. 8). The second condition is that the body movement elapsed time (see T11 and T12 in FIG. 8 and T14 and T15 in FIG. 9) is equal to or shorter than the third predetermined time (see T3 in FIG. 8). The 1st calculating part 31 of the estimation apparatus 30 resets body movement continuation time (refer T14 of FIG. 9), when 2nd conditions are not satisfy | filled (refer FIG. 9). The estimation unit 33 of the estimation device 30 receives information on body movement continuation time (see T13 in FIG. 8) from the first calculation unit 31 via the processing unit 32. When the estimation unit 33 of the estimation device 30 has a body movement duration (see T13 in FIG. 8) equal to or longer than a first predetermined time (see T1 in FIG. 10), the heart rate of the user P (see FIG. 1) is Estimate that it is fluctuating. The estimation unit 33 of the estimation device 30 determines that the heart rate of the user P (see FIG. 1) is equal to or less than the first predetermined time (see T1 in FIG. 10) of the body movement continuation time (see T13 in FIG. 8). Estimated to be stable. The determination device 40 receives heart rate variability information (see FIG. 10) from the estimation device 30. Here, the heart rate variability information (see FIG. 10) is information regarding whether or not the heart rate of the user P (see FIG. 1) is fluctuating. The determination device 40 determines the sleep state of the user P (see FIG. 1) based on the heartbeat fluctuation information (see FIG. 10).

Therefore, when the second condition is not satisfied (see FIG. 9), the body movement continuation time (see T14 in FIG. 9) is reset, so that the body movement continuation time can be calculated with a simple configuration.
(8)
Here, the microwave Doppler sensor 10 of the bed 20 shown in FIG. 2 measures the body movement information (see FIGS. 8 and 9) without contact with the user P (see FIG. 1). The estimation device 30 receives body movement information (see FIGS. 8 and 9) from the microwave Doppler sensor 10 of the bed 20. The estimation device 30 estimates heart rate variability information (see FIG. 10) based on body motion information (see FIGS. 8 and 9). The determination device 40 receives heart rate variability information (see FIG. 10) from the estimation device 30. The determination device 40 determines the sleep state of the user P (see FIG. 1) based on the heartbeat fluctuation information (see FIG. 10).

Accordingly, since the body motion information (see FIGS. 8 and 9) is measured without contact with the user P (see FIG. 1), the body motion information (see FIG. 8) is not imposed on the user P (see FIG. 1). , See FIG. 9).
(9)
Here, the transmission part 11 of the microwave Doppler sensor 10 of the bed 20 shown in FIG. 2 transmits a microwave toward the user P (refer FIG. 1). The receiving unit 12 of the microwave Doppler sensor 10 receives the reflected wave. Thereby, body movement information (refer to Drawing 8 and Drawing 9) is acquired. The estimation device 30 receives body movement information (see FIGS. 8 and 9) from the microwave Doppler sensor 10 of the bed 20. The estimation device 30 estimates heart rate variability information (see FIG. 10) based on body motion information (see FIGS. 8 and 9). The determination device 40 receives heart rate variability information (see FIG. 10) from the estimation device 30. The determination device 40 determines the sleep state of the user P (see FIG. 1) based on the heartbeat fluctuation information (see FIG. 10).

Therefore, since the reflected wave is received, it is possible to measure the body movement information (see FIGS. 8 and 9) without contact with the user P (see FIG. 1).
(10)
Here, the transmission part 11 of the microwave Doppler sensor 10 of the bed 20 shown in FIG. 2 transmits a microwave toward the user P (refer FIG. 1). The receiving unit 12 of the microwave Doppler sensor 10 receives the reflected wave. The third calculation unit 14 of the microwave Doppler sensor 10 receives a microwave signal from the transmission unit 11 via the processing unit 13. The third calculation unit 14 of the microwave Doppler sensor 10 receives the reflected wave signal from the reception unit 12 via the processing unit 13. The 3rd calculating part 14 of the microwave Doppler sensor 10 calculates change information (refer FIG. 8, FIG. 9). Here, the change information (see FIGS. 8 and 9) is information regarding the change in the reflected wave signal with respect to the microwave signal. Thereby, body movement information (refer to Drawing 8 and Drawing 9) is acquired. The estimation device 30 receives body movement information (see FIGS. 8 and 9) from the microwave Doppler sensor 10 of the bed 20. The estimation device 30 estimates heart rate variability information (see FIG. 10) based on body motion information (see FIGS. 8 and 9). The determination device 40 receives heart rate variability information (see FIG. 10) from the estimation device 30. The determination device 40 determines the sleep state of the user P (see FIG. 1) based on the heartbeat fluctuation information (see FIG. 10).

Therefore, since the change information (see FIGS. 8 and 9) is calculated, it is possible to calculate the body movement information (see FIGS. 8 and 9) using the Doppler effect. Therefore, it is possible to measure body movement information (see FIGS. 8 and 9).
<Modification of First Embodiment>
(A) The change information shown in FIG. 8 may not be information related to a change in frequency. For example, information on a change in wavelength, information on a change in spread of a spectral line, and the like may be used.

  (B) Although FIGS. 1 and 2 show a case where the estimation device 30 and the determination device 40 are provided separately from the bed 20, at least one of the estimation device 30 and the determination device 40 is provided on the bed 20. It may be built in. Further, at least one of the estimation device 30 and the determination device 40 may be connected to the bed 20 via a wireless line or a wired line. The body movement information of the user P (see FIG. 1) may be measured by a device that measures a change in pressure using an air mat instead of the microwave Doppler sensor 10. Alternatively, a device that measures a change in pressure using the piezoelectric effect may be used. Alternatively, body motion information of the user P (see FIG. 1) may be measured by attaching a sensor (not shown) provided separately from the bed 20 to the user P (see FIG. 1). .

  (C) The determination of steps S11 and S12 shown in FIG. 4 may be performed by the processing unit 32 of the estimation device 30 instead of the first calculation unit 31 of the estimation device 30 shown in FIG. In this case, information of the determination result is passed from the processing unit 32 to the first calculation unit 31. The determination in step S21 shown in FIG. 5 may be performed by the processing unit 32 of the estimation device 30 instead of the estimation unit 33 of the estimation device 30 shown in FIG. In this case, information of the determination result is passed from the processing unit 32 to the estimation unit 33. The determination in step S31 illustrated in FIG. 6 may be performed by the processing unit 42 of the determination device 40 instead of the second calculation unit 41 of the determination device 40 illustrated in FIG. In this case, information of the determination result is passed from the processing unit 42 to the second calculation unit 41. The determination in step S41 illustrated in FIG. 7 may be performed by the processing unit 42 of the determination device 40 instead of the determination unit 43 of the determination device 40 illustrated in FIG. In this case, information on the determination result is passed from the processing unit 42 to the determination unit 43.

[Second Embodiment]
The conceptual diagram of the sleep state determination system 100 which concerns on 2nd Embodiment of this invention is shown in FIG. Moreover, the block diagram of each component of the sleep state determination system 100 which concerns on 2nd Embodiment of this invention is shown in FIG. In FIG. 13, FIG. 14, the component similar to the component of the sleep state determination system 1 of FIG. 1, FIG. 2 is shown with the same number. The sleep state determination system 100 shown in FIG. 13 is a system for mainly determining the sleep state of the user P.

  As shown in FIGS. 13 and 14, the sleep state determination system 100 has the same basic structure as that of the first embodiment and the same components as those of FIG. 2, but the configuration of the determination device 140 is the first. Different from one embodiment. That is, as illustrated in FIG. 14, the determination device 140 further includes a database 144. The determination unit 143 refers to the database 144 via the processing unit 142 when determining the sleep state of the user P (see FIG. 1) based on the fluctuation stop time (see T21 and T22 in FIG. 11). For example, it is assumed that the information in the database 144 is information like a graph 95 shown in FIG. By referring to the database 144, if the fluctuation stop time (see T21 and T22 in FIG. 11) is 0 to T1a, it is determined as the REM sleep state. If the fluctuation stop time (see T21 and T22 in FIG. 11) is T1a to T1b, it is determined as the S1 sleep state. If the fluctuation stop time (see T21 and T22 in FIG. 11) is T1b to T1c, the sleep state is determined to be S2. If the fluctuation stop time (see T21 and T22 in FIG. 11) is T1c to T1d, it is determined as the S3 sleep state. If the fluctuation stop time (see T21 and T22 in FIG. 11) is T1d to T1e, it is determined as the S4 sleep state. If the fluctuation stop time (see T21 and T22 in FIG. 11) is equal to or longer than T1e, it is determined as a non-REM sleep state. Thereby, it is possible to determine a sleep state finely. These points are different from the first embodiment.

  Since the sleep state of the user P (see FIG. 13) is determined based on the heart rate variability information (see FIG. 10), the user P (see FIG. 13) is only measured by measuring the body movement information (see FIGS. 8 and 9). ) Is the same as in the first embodiment in that the sleep state of the user P (see FIG. 13) can be determined without calculating the heart rate. Therefore, since it is possible to determine the sleep state of the user P (see FIG. 13) with a simple configuration even with such a sleep state determination system 100, the user P (see FIG. 13) can be determined at low cost. It is possible to determine the sleep state.

<Modification of Second Embodiment>
(A) The information of the database 144 shown in FIG. 14 may be information shown by a graph 96 shown in FIG. 16 instead of the information shown by the graph 95 shown in FIG. By referring to the database 144a, for example, if the fluctuation stop time (see T21 and T22 in FIG. 11) is T1h, the sleep state is determined to be S11. Thereby, it is possible to determine a sleep state further finely.

  The sleep state determination system, the sleep state determination method, and the sleep state determination program according to the present invention have the effect that the user's sleep state can be determined at low cost, and the sleep state determination system, the sleep state determination method, and This is useful as a sleep state determination program.

The conceptual diagram of the sleep state determination system by 1st Embodiment of this invention. The block diagram of the component of the sleep state determination system by 1st Embodiment of this invention. The flowchart which shows the flow of the process which a sleep state determination system determines a user's sleep state. The flowchart which shows a body movement continuation time calculation process. The flowchart which shows a heart rate variability information estimation process. The flowchart which shows a fluctuation | variation stop time calculation process. The flowchart which shows a sleep state determination process. The conceptual diagram which shows body movement continuation time. The conceptual diagram which shows body movement continuation time. The conceptual diagram which shows heart rate variability information. The conceptual diagram which shows a fluctuation | variation stop time. The conceptual diagram which shows 2nd predetermined time. The conceptual diagram of the sleep state determination system by 2nd Embodiment of this invention. The block diagram of the component of the sleep state determination system by 2nd Embodiment of this invention. The conceptual diagram which shows the information of a database. The conceptual diagram which shows the information of a database.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1,100 Sleep state determination system 10 Microwave Doppler sensor 20 Bed 30 Estimation apparatus 40,140 Determination apparatus

Claims (12)

A sleep state determination system (1,100) for determining a user's sleep state,
A measuring device (10) for measuring body movement information which is information relating to the movement of the user's body;
An estimation device (30) for estimating heart rate variability information, which is information related to a fluctuation state of the user's heart rate, based on the body motion information;
A determination device (40) for determining a sleep state of the user based on the heart rate variability information;
With
Sleep state determination system (1,100). The estimation device (30)
A first calculation unit (31) that calculates a body motion duration time, which is a time during which the user's body motion continues, based on the body motion information;
An estimation unit (33) for estimating the heart rate variability information based on the body movement duration;
Having
The sleep state determination system (1, 100) according to claim 1. The estimation unit (33) estimates that the user's heart rate is fluctuating when the body movement continuation time is equal to or longer than a first predetermined time, and the body movement continuation time is the first predetermined time. If the time is less than or equal to time, the user's heart rate is estimated to be stable,
The heart rate variability information is information regarding whether or not the heart rate of the user is fluctuating.
The sleep state determination system (1, 100) according to claim 2. The determination device (40)
A second calculation unit (41) that calculates a fluctuation stop time, which is a time during which the user's heart rate is stable, based on the heartbeat fluctuation information;
A determination unit (43, 143) for determining a sleep state of the user based on the fluctuation stop time;
Having
The sleep state determination system (1, 100) according to claim 3. The determination unit (43, 143)
When the variable stop time is equal to or shorter than a second predetermined time that is longer than the first predetermined time, it is determined that the user is in a REM sleep state, and the variable stop time is equal to or longer than the second predetermined time. If the user is in a non-REM sleep state,
The sleep state determination system (1, 100) according to claim 4. The first calculation unit (31) includes a first condition that a magnitude of the body movement of the user is equal to or greater than a predetermined value, and a lapse from a time when the body movement of the user occurred immediately before. When both of the second condition, which is that the body motion elapsed time, which is time, is less than or equal to the third predetermined time, which is shorter than the first predetermined time, are satisfied, to add,
The sleep state determination system (1, 100) according to any one of claims 3 to 5. The first calculation unit (31) resets the body movement duration when the second condition is not satisfied.
The sleep state determination system (1, 100) according to claim 6. The measuring device (10) measures the body movement information without contact with the user.
The sleep state determination system (1, 100) according to any one of claims 1 to 7. The measuring device (10)
A transmission unit (11) for transmitting microwaves to the user;
A receiving unit (12) for receiving a reflected wave that is a reflection of the microwave by the user;
Having
The sleep state determination system (1, 100) according to claim 8. The measuring device (10)
A third computing unit (14) that computes change information that is information related to a change in the reflected wave signal with respect to the microwave signal;
The sleep state determination system (1, 100) according to claim 9. A sleep state determination method for determining a user's sleep state,
A measurement step in which body movement information, which is information related to the movement of the user's body, is measured without contact with the user;
An estimation step in which heart rate variability information, which is information related to the fluctuation state of the user's heart rate, is estimated based on the body motion information;
A determination step in which a sleep state of the user is determined based on the heart rate variability information;
With
Sleep state determination method. A sleep state determination program for causing a computer (13, 30, 40, 140) to determine a user's sleep state,
A measurement step in which body movement information, which is information related to the movement of the user's body, is measured without contact with the user;
An estimation step in which heart rate variability information, which is information related to the fluctuation state of the user's heart rate, is estimated based on the body motion information;
A determination step in which a sleep state of the user is determined based on the heart rate variability information;
With
Sleep state determination program.

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