JP4396650B2 - Sleep support device, program, and recording medium - Google Patents

Description

  The present invention relates to a sleep support apparatus, a program, and a recording medium that support sleep based on a signal measured from a living body.

In recent years, interest in sleep has increased, and devices that support sleep have been desired. For example, Patent Document 1 below proposes an apparatus that wakes up by measuring a heart rate.
Although the technique of this patent document 1 determines the timely wake-up from the heart rate, the wake-up function alone cannot cope with various sleep problems including difficulty in falling asleep and awakening midway.
JP-A-6-27263

  Separately from this, a human sleep state (sleep depth) is conventionally determined by polysomnography that simultaneously measures brain waves, eye movements, electromyography, electrocardiograms, and other biological signals. It has been known.

However, the measurement by polysomnography has a problem that hospitalization is necessary because the device is large.
In addition, since it is necessary to wear a sensor on the head, face, etc., there is a problem that the wearing feeling is bad, and sleep is hindered because the sensor is attached, and accurate evaluation cannot be performed.

  The present invention has been made to solve the above-mentioned problems, and its purpose is to use a simple device that can be used at home, for example, without using a large-scale device based on polysomnography. An object is to provide a sleep support apparatus, a program, and a recording medium that can support the whole.

(1) According to the first aspect of the present invention, an interval calculation means for obtaining a heartbeat interval from a signal indicating a cardiac potential, and a frequency analysis of the heartbeat interval calculated by the interval calculation means, and a predetermined amount corresponding to the amount of parasympathetic nerve activity. A frequency analysis means for obtaining a frequency component of a band; a sleep support means for providing information relating to sleep based on the frequency component obtained by the frequency analysis means; and a time before and after a wake-up time zone input in advance based on the time and, Rutotomoni provided with informing means for informing a wake-up timely user, and after reaching the front time, the first condition that the current frequency component is decreased by more than a predetermined value than the frequency component of the predetermined time before And a control means for notifying the user of an appropriate time to wake up when the second condition in which the frequency component is continuously reduced for a predetermined time is satisfied.

  In the present invention, by performing a frequency analysis of the heartbeat interval, a frequency component in a predetermined band (for example, near 0.3 Hz shown in FIG. 3C) corresponding to the amount of parasympathetic nerve activity can be obtained. In addition, the amount of parasympathetic nerve activity is related to the sleep rhythm such as the sleepless REM period and the sleepy non-REM period. Therefore, based on the frequency component, information on sleep such as bedtime and wake-up timing is given to the user. Can be provided.

  Thereby, the whole sleep can be supported by using a simple device that can be used in a general household without using a large-scale device by polysomnography. In addition, after reaching the previous time of the wake-up time zone, the sleep state is detected from the change in the frequency component and the user is notified of the appropriate wake-up time, so that the user can get up at an appropriate timing.

  For example, as shown in FIG. 7 to be described later, the amount of parasympathetic nerve activity (thus, the sleep REM period and the sleep non-REM period) fluctuate periodically. When the first condition in which the frequency component has decreased by a predetermined value or more from the frequency component before the predetermined time and the second condition in which the frequency component has decreased continuously for the predetermined time are satisfied, it is considered that the sleep state is shallow. Can do.

Therefore, it is possible to get up comfortably by notifying the user of the appropriate time to get up in the shallow sleep state where the first condition and the second condition are satisfied.
(2) The invention of claim 2 is an interval calculation means for obtaining a pulse interval from a pulse wave signal, and performs a frequency analysis of the pulse interval calculated by the interval calculation means to obtain a predetermined band corresponding to the amount of parasympathetic nerve activity. A frequency analysis means for obtaining a frequency component; a sleep support means for providing information relating to sleep based on the frequency component obtained by the frequency analysis means; and a pre-time and a post-time of a wake-up time zone input in advance based on, Rutotomoni provided with informing means for informing a wake-up timely user, and after reaching the front time, a first condition that the current frequency component is decreased by more than a predetermined value than the frequency component of the predetermined time before, When the second condition in which the frequency component is continuously decreased for a predetermined time is satisfied, the control unit is provided with a control unit that notifies the user of the appropriate time to wake up.

  In the present invention, as described above, the entire sleep can be supported with a simple device. Further, as in the first aspect of the invention, after reaching the previous time of the wake-up time zone, the sleep component is detected from the change in the frequency component, and the user is notified of the appropriate time to wake up. You can get up at the timing.

(3) The invention of claim 3 notifies the user of the appropriate time to wake up after a predetermined time after the first condition and the second condition are satisfied.
Statistically, when the first condition and the second condition are satisfied, the sleep state is often the shallowest after a predetermined time (which can be obtained by an experiment or the like). Thus, it is possible to get up comfortably by notifying the user of the appropriate time to get up.

  (4) The invention according to claim 4 is characterized in that, after the first condition and the second condition are satisfied, a third condition in which the current frequency component is increased by a predetermined value or more from a frequency component before a predetermined time, and the frequency component is When the fourth condition increased continuously for a predetermined time is satisfied, the user is notified of the appropriate time to wake up.

As shown in FIG. 7, when the first condition and the second condition are satisfied, the frequency component indicating the amount of parasympathetic nerve activity falls, but then reverses and the frequency component increases.
Therefore, by detecting the state where the frequency component starts to increase from falling, it is possible to accurately grasp the state of low sleep. Therefore, it is possible to wake up comfortably by notifying the user of the appropriate time to wake up in this shallow sleep state.

(5) The invention of claim 5 is characterized in that the user is notified of an appropriate time to wake up a predetermined time after the third condition and the fourth condition are satisfied.
In the present invention, since the user is notified of the appropriate time to wake up after a predetermined time after the third condition and the fourth condition are satisfied, the influence of the error can be eliminated and the wake-up timing can be notified more accurately.

( 6 ) The invention of claim 6 is characterized in that the frequency component after going to bed or after falling asleep is reported.
In the present invention, since the frequency component after going to bed or falling asleep is notified to the user, the sleep state after going to bed or going to sleep can be clearly grasped. Therefore, it becomes useful for subsequent self-management.

( 7 ) The invention of claim 7 is characterized by notifying the change of the frequency component after going to bed or after falling asleep.
In the present invention, since the change in the frequency component after going to bed or falling asleep is notified to the user, it is possible to clearly grasp the tendency of the sleeping state after going to bed or going to sleep. Therefore, it becomes useful for subsequent self-management.

( 8 ) The invention of claim 8 is characterized by notifying the frequency component before waking up or waking up.
In the present invention, since the frequency component before waking up or waking up is notified to the user, the sleep state before waking up or waking up can be clearly grasped. Therefore, it becomes useful for subsequent self-management.

( 9 ) The invention of claim 9 is characterized in that a change in the frequency component before getting up or waking up is notified.
In the present invention, since the change in the frequency component before waking up or waking up is notified to the user, it is possible to clearly grasp the tendency of the sleep state before waking up or waking up. Therefore, it becomes useful for subsequent self-management.

( 10) The invention of claim 10 functions as a distance calculation means, frequency analysis means, sleep support means, notification means, and control means of the sleep support device according to any one of claims 1 to 9. It is a program to make it .
( 11) The invention according to claim 11 is a computer-readable recording medium on which the program according to claim 10 is recorded .

The program as described above can be provided as a program that is activated on the computer system side, for example. In the case of such a program, for example, the program is recorded on a computer-readable recording medium such as a flexible disk, a magneto-optical disk, a CD-ROM, and a hard disk, and is used by being loaded into a computer system and started up as necessary. it can. In addition, the program may be recorded as a computer-readable recording medium such as a ROM or a backup RAM, and the ROM or the backup RAM may be incorporated into a computer system.

Next, an example (example) of an embodiment of the sleep support device, program, and recording medium of the present invention will be described based on the drawings.
Example 1
a) First, the basic configuration of the sleep support device according to the present embodiment will be described with reference to FIGS. 1 and 2.

  As shown in FIG. 1, the sleep support device according to the present embodiment is used by being attached to a human body and detecting a pulse wave based on the measurement data of the measurement unit 1. It comprises a main body 3 that performs various calculations (mainly a microcomputer).

  Among these, the main body 3 includes a data receiving unit 5 that receives data transmitted from the measuring unit 1 (by radio), a data analyzing unit 7 that analyzes data received by the data receiving unit 5, and a data And a user interface 9 for notifying or inputting an analysis result analyzed by the analysis unit 7.

Examples of the user interface 9 include a configuration of a display unit such as a keyboard and characters, or a touch panel type liquid crystal display device.
On the other hand, as shown in FIG. 2, the measuring unit 1 is a well-known optical reflective sensor having a light emitting element (for example, a light emitting diode: LED) 11 and a light receiving element (photodiode: PD) 13, that is, a blood flow rate. A pulse wave sensor 15 for detecting a change as a change in pulse wave is provided.

  Further, the measurement unit 1 includes a drive circuit 17 for driving the light emitting element 11, a detection circuit 19 for detecting a signal from the light receiving element 13, and a signal detected by the detection circuit 19 (to the main body unit 3). It is provided with a data transmission unit 21 for wireless transmission.

  In the measuring unit 1, when light is irradiated from the light emitting element 11 toward the human body, a part of the light hits the small arteriole (capillary artery) passing through the inside of the human body, and the blood flows through the small arteriole. The remaining light is absorbed by the hemoglobin, and the remaining light is reflected and scattered by the small arterioles, and a part thereof is incident on the light receiving element 13. At this time, since the amount of hemoglobin in the small arterioles changes in a wave manner due to blood pulsation, the light absorbed in the hemoglobin also changes in a wave manner.

As a result, the amount of received light that is reflected by the small arteriole and detected by the light receiving element 13 changes, and the change in the amount of received light is output to the detection circuit 19 as a pulse wave signal (for example, a voltage signal).
In the detection circuit 19, the electric signal from the light receiving element 13 is amplified and the amplified signal is transmitted from the data transmission unit 21 to the main body unit 3.

  In the main unit 3, the signal is received by the data receiving unit 5 and sent to the data analyzing unit 7. The data analysis unit 7 performs A / D conversion and digital conversion of the signal, and performs analysis using the digitally converted signal.

  In the present embodiment, the measurement unit 3 is used as the measurement unit 1 that captures a change in blood flow (pulse wave signal) from a change in the amount of hemoglobin in small arterioles of the skin. Absent. For example, a pulse oximeter using the light absorption characteristic of hemoglobin may be used.

b) Next, an analysis algorithm in the data analysis unit 7 will be described with reference to FIG.
(1) In this analysis algorithm, the fluctuation amount of the frequency component lower than the frequency component corresponding to the pulse interval (pulse wave fluctuation: pulse interval fluctuation) is calculated from the pulse wave signal at an arbitrary time, and this calculated value is used. To analyze the sleep state.

  That is, a component in a predetermined frequency band (for example, a low frequency component around 0.3 Hz) obtained by frequency analysis of the fluctuation state of the pulse interval well represents the parasympathetic nerve activity, and the greater this value (component power), the parasympathy. Nervous activity is active. That is, it is considered that the patient is sufficiently rested (sleeps well).

Therefore, the sleep state is grasped using the value of a predetermined frequency band obtained by frequency analysis of the pulse interval. In the following, description will be given in order.
(2) First, when a pulse wave at an arbitrary time is measured using the measuring unit 1, a pulse wave signal with a continuous pulse wave is obtained, for example, as shown in FIG. Among the pulse wave signals, pulse waves indicated by individual waves correspond to each pulse. The pulse wave peak-to-peak interval is referred to as a pulse interval.

This time change of the pulse interval is shown in FIG. 3B, and it can be seen that the pulse interval fluctuates with time, that is, there is a gradual variation in the pulse interval.
Then, frequency analysis (for example, well-known FFT analysis) is performed on the obtained pulse wave signal to obtain a power spectrum of a low frequency component corresponding to fluctuation of the pulse wave signal as shown in FIG. . The amplitude value (intensity: power) of the power spectrum is the fluctuation amount of the low frequency component, and the fluctuation amount of the low frequency component can be continuously grasped from the time change of this value.

  Next, a component (HF) of about 0.3 Hz (for example, 0.15 to 0.45 Hz) that is considered to represent the amount of parasympathetic nerve activity is extracted from the power spectrum obtained by the frequency analysis by integration.

  (3) Since this HF represents the amount of parasympathetic nerve activity, it is possible to recognize a biological state such as a sleep state from the state of change of HF, and therefore to the user based on the recognized result. Make necessary notifications.

For example, the user is notified of the timing suitable for going to bed, the user is notified of the timing of getting up, and the user is notified of the sleep state last night.
In other words, when the amount of parasympathetic nerve activity increases gradually, the nerve gradually becomes calm and suitable for entering sleep. Such a state is determined based on HF. The user is notified of the timing suitable for bedtime.

  In general, sleep has rhythms of non-REM period, which is deep sleep, and REM period, which is shallow sleep, and it is known that a person who gets up in the REM period, which is shallow sleep, can get up comfortably. Furthermore, it is known that there is a correlation between the amount of parasympathetic nerve activity and the depth of sleep (REM, non-REM rhythm). Specifically, it is known that non-REM deep sleep is exhibited when the amount of parasympathetic nerve activity is large.

Therefore, it is possible to predict shallow sleep from the amount of parasympathetic nerve activity and know when to wake up.
That is, when the amount of parasympathetic nerve activity gradually decreases, the nerve activity gradually increases and becomes a state suitable for getting up, so such a state is determined based on HF, The timing suitable for getting up is notified.

c) Next, the procedure of the sleep support control in this embodiment will be described with reference to FIG.
In the present embodiment, the processing procedure is roughly divided into modes 1 to 3, and will be described separately.

(1) Mode 1 (bed support mode)
As shown in FIG. 4, in step 100, the user wears the measuring unit 1 and inputs a wake-up time zone through the user interface 9.

  In the following step 110, a pulse wave is measured for 1 minute, and a fluctuation component of around 0.3 Hz (that is, 0.15 to 0.45 Hz) of the pulse interval is calculated from this pulse wave, and this is calculated as an initial value HF0 of the fluctuation component. And

  In the following step 120, the pulse wave is successively measured at intervals of 1 minute, the fluctuation component HF around 0.3 Hz of the pulse interval is calculated from this pulse wave, and the ratio of the change to the initial value (ie, the parasympathetic nerve activity amount). (Increase rate) HF / HF0 is displayed on the user interface 9.

In the following step 130, it is determined whether or not HF / HF0 is larger than the specified value. If an affirmative determination is made here, the process proceeds to step 150. If a negative determination is made, the process proceeds to step 140.
This specified value is a determination value for determining whether or not the state is suitable for bed-setting, and can be set by an experiment or the like.

  In step 140, it is determined whether or not the state in which HF / HF0 is larger than the specified value has continued for 20 minutes. If an affirmative determination is made here, the process proceeds to step 150. If a negative determination is made, the process returns to step 110. Repeat the same process.

  That is, as described above, the state in which HF / HF0 is increased from the specified value (over 20 minutes) is a state in which the amount of parasympathetic nerve activity is increasing, that is, a state in which the nerve is calm and suitable for sleep. Therefore, if this state continues for 20 minutes, it is considered as a state suitable for bedtime.

  In step 150, since HF / HF0 has increased from the specified value (over 20 minutes) and is considered to be in a state suitable for bedtime, this is displayed on the user interface 9 to prompt the user to bed.

(2) Mode 2 (wake-up support mode)
In this mode 2, it is assumed that the user is sleeping, but a slight time difference in transition to the sleeping state may be ignored.

In step 160, the pulse wave is sequentially measured at intervals of 1 minute, a fluctuation component HF around 0.3 Hz of the pulse interval is calculated from the pulse wave, and the value is stored.
In the next step 170, it is determined whether or not the time before the wakeup time (input by the user) has been reached (if the determination is affirmative), the process proceeds to step 180, while If it is determined, the process returns to step 160 and the same processing is repeated.

In step 180, as in step 170, the pulse wave is sequentially measured at 1 minute intervals, a fluctuation component HF around 0.3 Hz of the pulse interval is calculated from the pulse wave, and the value is stored.
In step 190, as will be described in detail later with reference to FIG. 5, wake-up timeliness determination processing is performed for determining the wakeup timeliness based on the stored HF.

  In the following step 200, it is determined whether or not it is time to wake up in response to the result of the timely determination process performed in step 190, that is, whether or not a flag indicating the time to wake up is set. If an affirmative determination is made in step 210, the process proceeds to step 210. On the other hand, if a negative determination is made, the process returns to step 180 and the same processing is repeated.

  In step 210, since it is not time to wake up, it is determined whether or not the time after the wake-up time (entered by the user) (the last time in the wake-up time zone) has been reached. If, on the other hand, a negative determination is made, the routine returns to step 180 and the same processing is repeated.

On the other hand, in step 220, since it is time to wake up or the time after the wake-up time zone has been reached, the user is notified of the wake-up time by an alarm.
Here, the timely determination process for wake-up in step 190 will be described with reference to FIG.

  In step 300, the HF difference is obtained by subtracting the current (1 minute) HF from the HF 5 minutes ago (1 minute), and it is determined whether or not the difference exceeds 5 msec. That is, it is determined whether or not the present state is a state in which the amount of parasympathetic nerve activity decreases and sleep is shallow. If an affirmative determination is made here, the process proceeds to step 310, whereas if a negative determination is made, the process proceeds to step 340.

In step 340, since it is not a state where sleep is shallow, it is determined that it is not appropriate to wake up, and this processing is temporarily terminated.
On the other hand, in step 320, it is determined whether or not HF has been continuously reduced for 5 minutes, that is, whether or not the sleep is continuously directed to a shallow state. If an affirmative determination is made here, the process proceeds to step 320, whereas if a negative determination is made, the process proceeds to step 340.

Step 320 waits for 5 minutes. In addition, since it waits for 5 minutes here, if it waits experimentally for 5 minutes, it can anticipate that it is the state where sleep is the lightest statistically.
In the subsequent step 330, it is determined that it is time to wake up, and in order to indicate that, for example, a flag indicating the time to wake up is set, and this processing is temporarily terminated.

That is, it is possible to reliably determine when to wake up by the above-described processing.
(3) Mode 3 (sleep progress notification mode)
This mode 3 is a process for displaying the sleep state of last night and the past week in terms of sleep age.

Here, the sleep age will be described.
Since the parasympathetic nerve activity amount has a correlation with the depth of sleep, the HF may be used as a sleep evaluation index, but since the unit is [msec], it is difficult for a general user to understand. Therefore, as shown in FIG. 6, paying attention to the fact that the parasympathetic nerve activity amount is correlated with age, HF is converted into sleep age and displayed.

FIG. 6 is a graph showing the relationship between the average value of HF and the age (sleep age) during sleep.
As shown in FIG. 4, first, in step 230, the user turns off the alarm from the interface 9 of the main body unit 3.

  In the following step 240, the sleep age of the past week is calculated and displayed last night. For example, the average of HF from bedtime to bedtime of last night is obtained, the sleep age is obtained by applying the HF to a graph as shown in FIG. 6, and the sleep age of last night is displayed. Similarly, the average of HF from bedtime to waking up in the one week is obtained, the sleep age is obtained from the HF, and the sleep age for one week is displayed.

Therefore, it can be seen that the user who sees it is preferable, for example, when the sleep age is younger than the actual age, and is not preferable otherwise.
In the following step 250, the change in HF after going to bed and the change in HF before getting up are displayed, and this process is temporarily terminated.

  For example, as shown in FIG. 7, all changes in HF during sleep including changes in HF after going to bed and changes in HF before getting up may be displayed in a graph. Alternatively, as shown in FIG. 8, only a rough change of the graph may be shown, or even the slope of the graph can be shown to know the state of HF (hence, the sleep state).

d) This embodiment has the following effects due to the above-described configuration.
In this embodiment, the frequency analysis of the pulse wave interval is repeated every minute, so that the frequency components in a predetermined band (near 0.3 Hz) corresponding to the parasympathetic nerve activity amount are sequentially obtained, and the ratio of the frequency components When (HF / HF0) exceeds a predetermined specified value for a predetermined period, the user is prompted to go to bed.

Thereby, since an appropriate bedtime timing can be notified to the user, quick sleep is possible.
In this embodiment, based on the pre-time and the pre-time of the wake-up time zone input in advance, after reaching the previous time, the user can wake up at the appropriate time according to the change in the frequency component corresponding to the sleepless state. Can be woken up at an appropriate timing.

In addition, when there is no appropriate wake-up time, the user is woken up with certainty because the wake-up time is notified to the user when the pre-input time has come.
In this embodiment, for example, the frequency component during sleep is notified to the user by display, voice, etc., for example, last night or the past week, so that the user knows it and recognizes his / her sleep state. it can. Thereby, since self-management becomes possible, better sleep becomes possible.

  In this embodiment, the frequency component during sleep is converted to sleep age and notified to the user by display, voice, etc., so it is easier to grasp the sleep state than when the frequency component is simply displayed as a numerical value. There is an advantage.

In this embodiment, the entire sleep can be supported by using a simple device that can be used in a general household without using a conventional large-scale device using polysomnography.
(Example 2)
Next, although the sleep support apparatus of a present Example is demonstrated, description of the location similar to the said Example 1 is abbreviate | omitted.

Since the present embodiment is different from the first embodiment only in the wake-up timely determination process in the step 190, only different points will be described.
As shown in the flowchart of FIG. 9, first, in step 400, the HF difference is obtained by subtracting the current (1 minute) HF from the HF 5 minutes ago (1 minute), and whether or not the difference exceeds 5 msec. Determine whether. That is, it is determined whether or not the present state is a state in which the amount of parasympathetic nerve activity decreases and sleep is shallow. If an affirmative determination is made here, the process proceeds to step 410, while if a negative determination is made, the process proceeds to step 450.

In step 450, since it is not a state where sleep is shallow, it is determined that it is not appropriate to wake up, and this processing is temporarily terminated.
On the other hand, in step 410, it is determined whether or not HF has been continuously decreased for 5 minutes, that is, whether or not the sleep is continuously directed to a shallow state. If an affirmative determination is made here, the process proceeds to step 420, whereas if a negative determination is made, the process proceeds to step 450.

  In step 420, the HF difference is obtained by subtracting the HF from the current (1 minute) from the previous (1 minute) HF, and it is determined whether or not the difference exceeds 0 msec. That is, it is determined whether or not the parasympathetic nerve activity amount has started to increase. If an affirmative determination is made here, the process proceeds to step 430, while if a negative determination is made, the process proceeds to step 450.

  In step 430, it is determined whether or not HF has been continuously decreased for 3 minutes, that is, whether or not sleep is continuously going to a deep state. If an affirmative determination is made here, the process proceeds to step 440, whereas if a negative determination is made, the process proceeds to step 450.

In step 440, it is determined that it is time to wake up, and in order to indicate that, for example, a flag indicating the time to wake up is set, and this processing is temporarily terminated.
That is, in this process, as in the first embodiment, the parasympathetic nerve activity is not actually predicted from a continuous decrease in the parasympathetic nerve activity amount (the parasympathetic nerve activity amount decreases most), but is not predicted. Recognizing that the amount has changed from a decrease to an increase and determining the appropriate time to wake up (the amount of parasympathetic nerve activity decreases most), it is possible to make a more accurate determination at the appropriate time to wake up.

The reason why the HF is continuously increased in step 430 is to prevent erroneous determination due to noise or the like.
Needless to say, the present invention is not limited to the above-described embodiments, and can be implemented in various modes without departing from the scope of the present invention.

  (1) For example, in the first embodiment, using the pulse wave signal detected by the pulse wave sensor, bed support, wake-up support, and sleep state display are performed. A signal may be used.

  That is, since the pulse wave is caused by the heartbeat (heartbeat), the cardiac potential is directly obtained, the interval between the peaks (heartbeat interval) is obtained, and the signal of the heartbeat interval is By performing frequency analysis in the same manner as the pulse wave signal, a frequency component indicating fluctuations in the heartbeat interval can be obtained.

This frequency component (SHF) is the same as the frequency component of the pulse wave signal (ie, the parasympathetic nerve activity amount HF). And wake-up support and sleep status display.
(Other examples)
(2) Further, instead of using HF / HF0 for the determination of the wake-up timing, the wake-up timing may be used when HF exceeds a predetermined specified value.

Further, in the case of making a determination using HF / HF0 or HF, it is desirable to add a condition that the condition is satisfied over a predetermined time, but it is not necessary to add it.
(3) Furthermore, when the change of the frequency component is notified by display or the like, the whole or a part of the change can be displayed. For example, it is possible to notify the user of the frequency component or its change after going to bed or falling asleep, or the frequency component or its change before getting up or waking up.

  (4) Although the sleep support apparatus has been described in the above embodiment, the present invention is not limited thereto, and is also applicable to a program for executing processing based on the above-described algorithm and a recording medium storing the program. it can.

  Examples of the recording medium include various recording media such as an electronic control device configured as a microcomputer, a microchip, a flexible disk, a hard disk, and an optical disk. That is, there is no particular limitation as long as it stores a program that can execute the processing of the sleep support apparatus described above.

The program is not limited to a program stored in a recording medium, but can be applied to a program transmitted / received through a communication line such as the Internet.
(5) Furthermore, the sleep support device not only directly inputs a signal obtained from a pulse wave sensor or the like to a main body part located nearby, but also obtains data obtained from a pulse wave sensor or the like, for example. The present invention can also be applied to the case where sleep support is performed by inputting the data into a device such as a personal computer and transmitting the data to a main body at a remote location using, for example, the Internet.

It is explanatory drawing which shows the main structures of the sleep assistance apparatus of Example 1. FIG. It is explanatory drawing which shows structures, such as a measurement part of the sleep assistance apparatus of Example 1. FIG. The principle of the sleep support apparatus of Example 1 is shown, (a) is a graph showing a pulse wave signal, (b) is a graph showing a fluctuation state (fluctuation) of a pulse wave interval, and (c) is a frequency analysis of the pulse wave signal. It is a graph which shows the result. 3 is a flowchart illustrating sleep support control processing according to the first embodiment. 5 is a flowchart illustrating a determination process for determining when to wake up according to the first embodiment. It is a graph which shows the relationship between the amount of parasympathetic nerve activity and age. It is a graph which shows a time-dependent change of the amount of parasympathetic nerve activity. It is a graph which shows the tendency of the time-dependent change of the amount of parasympathetic nerve activity. 10 is a flowchart illustrating a determination process for determining when to wake up according to the second embodiment.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ... Measurement part 3 ... Main-body part 7 ... Data analysis part 9 ... User interface 15 ... Pulse wave sensor

Claims (11)

An interval calculating means for obtaining a heartbeat interval from a signal indicating a cardiac potential;
Frequency analysis means for performing frequency analysis of the heartbeat interval calculated by the interval calculation means to obtain a frequency component of a predetermined band corresponding to the amount of parasympathetic nerve activity;
Sleep support means for providing information related to sleep based on the frequency component obtained by the frequency analysis means;
Informing means for informing the user of the appropriate time to wake up based on the time before and after the wake-up time zone input in advance,
The equipped Rutotomoni,
When the first condition in which the current frequency component has decreased by a predetermined value or more from the frequency component of a predetermined time after the previous time is reached and the second condition in which the frequency component has been continuously decreased for a predetermined time are satisfied Comprises a control means for notifying the user of the appropriate time to wake up. An interval calculating means for obtaining a pulse interval from the pulse wave signal;
Frequency analysis means for performing a frequency analysis of the pulse interval calculated by the interval calculation means to obtain a frequency component of a predetermined band corresponding to the amount of parasympathetic nerve activity,
Sleep support means for providing information related to sleep based on the frequency component obtained by the frequency analysis means;
Informing means for informing the user of the appropriate time to wake up based on the time before and after the wake-up time zone input in advance,
The equipped Rutotomoni,
When the first condition in which the current frequency component has decreased by a predetermined value or more from the frequency component of a predetermined time after the previous time is reached and the second condition in which the frequency component has been continuously decreased for a predetermined time are satisfied Comprises a control means for notifying the user of the appropriate time to wake up.   3. The sleep support device according to claim 1, wherein a user is notified of the appropriate time to wake up a predetermined time after the first condition and the second condition are satisfied.   A third condition in which the current frequency component is increased by a predetermined value or more from a frequency component before a predetermined time after the first condition and the second condition are satisfied, and a fourth condition in which the frequency component is continuously increased for a predetermined time. The sleep support device according to claim 3, wherein when the condition is satisfied, the user is notified of the time to wake up.   The sleep support apparatus according to claim 4, wherein a user is notified of the appropriate time to wake up after a predetermined time after the third condition and the fourth condition are satisfied. Bedding or the frequency components after sleep onset, sleep support device according to any one of the claims 1-5, characterized in that the notification. The sleep support apparatus according to any one of 1 to 6 , wherein a change in the frequency component after going to bed or after falling asleep is reported. The frequency component before waking or Nezame sleep support device according to any one of the claims 1-7, characterized in that the notification. A change in the frequency component before waking or Nezame sleep support device according to any one of the claims 1-8, characterized in that notification. Computer, claim 1 of the sleep support apparatus according to any one of 9, interval calculating means, frequency analysis means, sleep support means, notifying means, a program to function as a control means. A computer-readable recording medium on which the program according to claim 10 is recorded.

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