JP2950038B2 - Sleep evaluation device - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a sleep evaluation apparatus for evaluating sleep quality of a person.

[0002]

2. Description of the Related Art Conventionally, a sleep evaluation apparatus of this type detects a body motion of a sleeping person, which is considered to have a deep relationship with the sleep depth, and evaluates it as follows. Since it can be determined that sleep is shallow when the frequency of body movement is high and sleep is deep when the frequency of body movement is low, the body movement frequency and body movement interval during sleep time are calculated, and the sleep depth is deeper than the total sleep time. The sleep quality was evaluated based on the ratio of the total time taken as an index, with the ratio of deep sleep being high and the longer the body movement interval being, the better the sleep was. JP-A-04-109960).

[0003]

[Problems to be solved by the invention]
For example, a jet lag when traveling to and from abroad, shift workers engaged in 24-hour shift work, etc. become insomnia, disrupting the natural rhythm of living organisms, causing sleep disorders, It has become commonplace to harm health. If healthy, the rhythm of the living body is reflected during sleep, and the depth of sleep and the occurrence of REM sleep have periodicity. If you have a sleep disorder, your sleep will not be periodic. Therefore, knowing whether or not sleep has periodicity makes it possible to estimate not only sleep itself but also overall health and evaluate the quality of sleep. However,
The conventional sleep evaluation device described above has the following problems. In other words, even if the means for detecting body movement as biological information that well reflects the sleep state is used, the sleep evaluation focusing on the appearance frequency and the average appearance interval can evaluate the temporal ratio of the total sleep depth. However, since it was not possible to know the periodicity during sleep, it was not possible to sufficiently evaluate the quality of sleep taking into account the rhythm of the living body.

[0004] An object of the present invention is to solve the above-mentioned problems, and detects living-body information during sleep reflecting the depth of sleep.
Whether the periodic there is a way to periodic of the change in the depth of sleep
If there is a characteristic, the period and phase are
In comparison, an object of the present invention is to provide a sleep evaluation device that evaluates the rhythm and sleep quality of a living body .

[0005]

SUMMARY OF THE INVENTION In order to achieve the above object, the present invention provides a living body information detecting means for reflecting a sleep depth of a sleeping person, and an output of the living body information detecting means. Whether the signal is periodic or not, and if so,
The periodicity calculating means for calculating the cycle and the phase of, the evaluation means for evaluating the biological rhythm and the quality of sleep based on the output of the periodicity calculating means, and the output means for outputting the evaluation result of the evaluating means. The output of the periodicity calculating means is
If there is no sex, it is evaluated by an evaluation means that it is unhealthy,
When the output of the periodicity calculating means has periodicity,
The phase is evaluated by comparing it with a predetermined period and phase.
Things .

The biological information detecting means is an electroencephalogram detecting means for detecting an electroencephalogram as biological information.

The biological information detecting means is a body movement detecting means for detecting body movement as biological information.

The biological information detecting means is heart rate detecting means for detecting a heartbeat as biological information.

The biological information detecting means is a respiratory detecting means for detecting respiration as biological information.

[0010]

The present invention operates as follows by the above configuration. Anti the drowsiness sleep depth human sleeping from a living body information detecting means
Detects BIOLOGICAL information movies, sleep drowsiness in periodicity calculation means
Periodicity of presence and peripheral with the BIOLOGICAL information reflecting the depth
If there is a period, the period and phase are calculated. Based on this calculation result, the evaluation unit, if there is no periodicity
Assess that you are unhealthy and, if periodic,
The period and phase with a predetermined period and phase, evaluates the raw body rhythm and sleep quality, and outputs the output means the results.

Further, to detect the brain waves by brain wave detecting means, if a presence or absence and the periodicity of the periodicity of the frequency and phase
Perform arithmetic, if there is no periodic properties to be unhealthy state criticism
If there is periodicity, the period and phase are
Compared to the period and phase, we evaluate the biological rhythms and drowsiness sleep quality, and outputs the result.

Further, the body movement detecting means, also in the case of heart rate detecting means, and breath detection means, and existence of periodic
If a periodic performs arithmetic of frequency and phase, periodic property
If there is no, evaluate it as unhealthy and have periodicity
If so, compare that period and phase with the given period and phase.
Te, carried out the evaluation of the biological rhythm and drowsiness sleep quality, and outputs the result.

[0013]

(Embodiment 1) A first embodiment of the present invention will be described below with reference to the accompanying drawings. FIG. 1 is a block diagram of a sleep evaluation device according to the first embodiment of the present invention, FIG. 2 is a block diagram of periodicity calculation means according to the first embodiment of the present invention, and FIG.
FIG. 4 is a schematic diagram illustrating the operation of the periodicity calculating means in the embodiment of the present invention, FIG. 4 is a schematic diagram of the evaluation by the evaluating means in the first embodiment of the present invention, and FIG. 5 is the output in the first embodiment of the present invention. Display by means, FIG. 6 is a sleep feeling input screen in the first embodiment of the present invention, FIG. 7 is a block diagram of a sleep evaluation device in the second embodiment of the present invention, and FIG. 2
FIG. 9 is a block diagram of a sleep evaluation device according to a third embodiment of the present invention.

A first embodiment of the present invention will be described. In FIG. 1, reference numeral 1 denotes a biological information detecting means, which comprises a detecting unit 2 for detecting biological information such as brain waves and body movements from a sleeping person, and a converting unit 3 for converting the information into an electric signal. 4 is a periodicity calculating means, 5 is an evaluation means for evaluating the quality of sleep from the output result of the periodicity calculating means 4, and 6 is a display unit for displaying the result of the evaluation means 5 by the output means. In FIG. 2, the periodicity calculation means 4 includes a first storage unit 7, a first calculation unit 8, a second storage unit 9, a third storage unit 10, and a second calculation unit 11 for storing biometric information. Calculate the periodicity.

Next, the operation of the above embodiment will be described below. Assuming that biological information of a sleeping person, for example, brain waves, is detected by the biological information detecting means 1, the detecting section 2 is an electroencephalogram electrode, and the converting section 3 converts electroencephalograms into necessary signals by an electroencephalograph. An electroencephalogram electrode serving as the detection unit 2 is attached to the head of a human body, and detects an electroencephalogram. In the conversion unit 3, the brain wave is filtered and amplified by the delta wave component, and
As an output signal. In response to this output, the periodicity calculating means 4 stores the output from the biological information detecting means 1 in the first storage unit 7. The data sequentially stored here is calculated as an event occurrence frequency per unit time in the first arithmetic unit 8 after the end of a series of data collection. For example, in the case of a brain wave delta wave, an integral value of the delta wave per unit time is calculated. Is done. This data is converted into waveform data for calculating a cross-correlation coefficient using a technique such as a moving average. The conversion into the waveform data is for making it easier to catch the rhythm during sleep occurring in the biological information. Therefore, the first calculation unit 6 may calculate the non-occurrence time interval without being limited to the occurrence frequency. For example, as shown in FIG. 3, if the calculation result of the frequency of occurrence of certain biological information is a, a is converted to b using a method such as a moving average, and finally converted into a waveform to obtain c and c. I do. The second storage unit 9 stores the calculation result of the first calculation unit 6. The third storage unit 10 stores theoretical body motion data at the time of ideal sleep to which the same processing performed by the first calculation unit 8 has already been performed. Second arithmetic unit 1
In step 1, a cross-correlation coefficient is calculated using outputs from the second storage unit 9 and the third storage unit 10. In other words, the ideal sleep data stored in the third storage unit 10 is the second sleep data.
Is a reference to be compared with the biological information stored in the storage unit 11. The cross-correlation coefficient is calculated by sequentially setting a time lag of 100 minutes before and after the data series, that is, a phase shift of the sleep cycle, and the direction of the time lag when the largest value of the cross-correlation coefficient is calculated is the third. When the output from the storage unit 10 is shifted forward, the sign + is added when the output is shifted backward, and the magnitude is output together with the cross-correlation coefficient. The reason why the time lag is set to 100 minutes is that a rhythm called a sleep cycle which occurs during sleep in the biological rhythm is set to about 90 minutes, and this setting can be changed.

In the evaluation means 5, based on the output from the periodicity calculating means 4, the horizontal axis indicates the cross-correlation coefficient and the vertical axis indicates the magnitude of the time lag, as shown in FIG. Here, the cross-correlation coefficient is positive, that is, the periodicity is seen in the brain wave, and the magnitude of the time lag is small, that is, the rhythm shift is small. From the graph, the cross-correlation coefficient is large and the time lag is small. In the graph of FIG. 4, the area having the first quadrant is evaluated as having good sleep quality, and the area having the third quadrant is not so good. Is done. Any other area is evaluated as normal. Also , the output of the periodicity calculating means 4 indicating that there is no periodicity
If you get a result, you are in an unhealthy state
Is evaluated.

The output means 6 simultaneously displays the evaluation result of the evaluation means 5 and the waveform data used by the periodicity calculation means 4 on a display or a display panel as shown in FIG. The evaluation result by the evaluation means 5 and the waveform data used by the periodicity calculation means 4 are simultaneously displayed. Depending on the result of the evaluation means 5, the display changes to "good", "normal", and "bad", and each display part blinks. Is displayed, and theoretical ideal data is also displayed on top of it. This waveform data is displayed based on the output of the evaluation result in the case of a time lag when the cross-correlation coefficient shows the highest value. Also, when there is no periodicity, the sleep progress data is similarly
The start time and the ideal data start time are displayed in a superimposed manner. With this , the evaluation results of the biological rhythm and the quality of sleep can be understood at a glance, and by looking at the waveform data, it is possible to see how much the self-sleep state differs from the ideal data. Further, if the display unit, which is the output unit 6, is configured to display a screen on which a subjective evaluation of sleep can be input, the sleeper himself / herself can input the quality of sleep on that day after data collection is completed. The input screen will be described with reference to FIG. An input screen display unit 12 is provided on, for example, a display. Here, "I couldn't sleep much"
-A continuous sleep feeling input scale 13 of "sleeping well" is displayed. The user moves the instruction cursor 14 for inputting a feeling of sleep on this scale, and inputs a feeling of sleep. The input feeling of sleep is scored from 0 to 100 and the second
In the storage unit 9 together with the biological information.
Then, the pattern of occurrence of body movement when the feeling of sleep of each person is good can be used as a reference for evaluation.

Here, the output means 6 is provided with a display unit, but may be configured to operate another device based on the output of the output means 6.

For example, if the output of the sleep evaluation device is not good, a device that encourages the user to fall asleep again or to increase the arousal level is linked.

(Embodiment 2) Next, a second embodiment of the present invention will be described with reference to FIG.
In FIG. 7, the biological information detecting means 1 is
It is. This body movement detecting means 15 is a piezoelectric element 16 disposed on bedding such as a bed, that is, the detecting unit 2,
It is composed of a body motion signal conversion unit 17 including a filter, an amplification unit, a smoothing unit, a comparison determination unit, and a timer. Further, it comprises a periodicity calculation means 4, an evaluation means 5, and an output means 6. The piezoelectric element 16 is formed of a polymer piezoelectric material such as polyvinylidene fluoride (PVDF) in the form of a thin film, and a flexible electrode film adhered to both surfaces thereof, and is formed into a tape shape. When the human body enters the bed, the disposed piezoelectric element 16 is deformed by the body movement of the human body, and a voltage is generated by the piezoelectric effect. A specific frequency component of the output signal of the piezoelectric element 16 is filtered by the filter, amplified by the amplification unit, and smoothed by the smoothing unit. FIG. 8 shows the output signal waveform of the smoothing unit when actually entering the bed, turning over, or leaving the bed. As shown in FIG. 8, in the case of rough body movement such as entering the bed, turning over, or leaving the bed, the movement is over the whole body, so that the piezoelectric element 16 is greatly deformed, and a large signal waveform is generated from the smoothing unit. When the person on the floor is in a resting state, the body moves minutely due to the heart activity and respiratory activity of the human body.
A relatively low level output like the S1 and S2 portions of FIG. If no person is on the bedding, the output will be zero. Based on this, the comparison unit compares the output V of the smoothing unit with the first set value Va and the second set value Vb, which are not present if V <Va, and is absent if V <V <Vb. If Vb.ltoreq.V, body motion is determined. The timer measures the time from the start of monitoring, and outputs the measured time in addition to the output result for each output from the comparison unit. The body movement detecting means 15 may use an infrared sensor, an ultrasonic sensor, a pressure-sensitive switch, or the like, instead of using the piezoelectric element 16. Subsequent signal processing is the same as in the first embodiment. In the case of detecting a body motion as biological information, there is an effect that information of a biological body can be detected without restraining a person and the calculation can be simplified, as compared with the case where brain waves are received as information.

(Embodiment 3) Next, a third embodiment will be described. The third embodiment includes a heartbeat detecting unit 18 including a piezoelectric element as a heartbeat detecting unit 19 and a heartbeat signal converting unit 20, a periodicity calculating unit 4, an evaluating unit 5, and an output unit 6. A piezoelectric element is used for the heartbeat detection unit 19. The waveform detected by the heartbeat detection unit is filtered and amplified by the conversion unit, and the autocorrelation coefficient is calculated at regular time intervals, and is converted into a heart rate per minute. Generally, the heart rate is stable except for REM sleep,
During sleep, the heart rate is disturbed. Accordingly, the first calculating unit 6 of the periodicity calculating unit 4 obtains, for example, a coefficient of variation within a certain period of time, and obtains waveform data for calculating whether or not the occurrence of REM sleep has periodicity. The signal processing after obtaining the waveform data is the same as in the first embodiment. Also, since heartbeat is detected as biological information,
It is possible to monitor the quality, the occurrence of REM sleep not only the rhythm of the body of sleep.

When breathing is incorporated as biological information, there is an effect that sleep apnea can be monitored.

According to the above-described operation, the sleeper uses the periodicity of the biological information generated during sleep as to whether or not the periodicity is generated and the deviation thereof as a criterion for evaluation. In addition to taking into account not only the rhythm of the living body but also the living rhythm, it is possible to receive an evaluation. On the other hand, this sleep evaluation device can be used for health management, and the jet lag or the sleep state of an insomnia patient can be easily and continuously stored outside the hospital, so that it can be used as auxiliary data during treatment. It is also conceivable to use it as a sleep management device for sick or elderly people in hospitals, apartment houses, and the like.

[0024]

As described above, according to the sleep evaluation apparatus of the present invention, the presence or absence and the period of the
If there is periodicity, calculate the period and phase, and there is no periodicity
If the rhythm of life is disrupted, the biological rhythm is disrupted and unhealthy
If you and the evaluation that it is state and monitor the periodicity of there
Evaluates its period and phase by comparing it with a predetermined period and phase.
Runode, it is possible to perform the evaluation of the quality of sleep, which was also taken into account until the rhythm of the overall biological as well as sleep. For this reason, the user considers not only the quality of sleep but also whether or not the rhythm of life is disrupted, so that the user can use it for management of life time.

When brain waves are detected as biological information, the most reliable biological rhythm during sleep can be detected.

When body movement is detected as biological information, sleep can be evaluated by detecting biological information with an inexpensive and simple device without restraining the human body.

In the case of detecting a heartbeat as biological information, it is possible to monitor the occurrence of REM sleep, which cannot be monitored by the occurrence of body motion, and to manage not only during sleep but also during the daytime of hospitalized patients and the like. Can be used.

Further, when respiration is detected as biological information, sleep apnea can be monitored.

[Brief description of the drawings]

FIG. 1 is a block diagram of a sleep evaluation device according to a first embodiment of the present invention.

FIG. 2 is a block diagram showing a configuration of a periodicity calculating means in the apparatus.

FIG. 3 is a schematic explanatory diagram showing a signal processing process in a periodicity calculating means of the apparatus.

FIG. 4 is a schematic diagram of an evaluation performed by an evaluation unit of the apparatus.

FIG. 5 is an explanatory diagram of a display unit in an output unit of the apparatus.

FIG. 6 is a front view of a screen when a feeling of sleep is input in the device.

FIG. 7 is a block diagram of a sleep evaluation device according to a second embodiment of the present invention.

FIG. 8 is a waveform diagram of an output signal in the device.

FIG. 9 is a block diagram of a sleep evaluation device according to a third embodiment of the present invention.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 Biological information detection means 4 Periodic calculation means 10 Evaluation means 11 Output means

Claims (5)

(57) [Claims] 1. A living body information detecting means for detecting living body information reflecting the depth of sleep of a sleeping person, and the presence / absence and periodicity of an output signal of said living body information detecting means.
Period, the periodicity calculation means for calculating the phase, and evaluating means for evaluating the biological rhythm and sleep quality based on an output of the periodicity calculation means, Ri Do and an output means for outputting the evaluation result of said evaluating means The output of the periodicity calculating means is
If there is no sex, it is evaluated by an evaluation means that it is unhealthy,
When the output of the periodicity calculating means has periodicity,
A sleep evaluation device configured to evaluate a phase by comparing the phase with a predetermined cycle . 2. The sleep evaluation device according to claim 1, wherein the biological information detecting means is an electroencephalogram detecting means comprising an electroencephalogram electrode for detecting an electroencephalogram and an electroencephalograph. 3. The sleep evaluation device according to claim 1, wherein the biological information detecting means is a body movement detecting means for detecting a body movement. 4. The sleep evaluation device according to claim 1, wherein the biological information detecting means is a heartbeat detecting means for detecting a heartbeat. 5. The sleep evaluation device according to claim 1, wherein the biological information detection means is a respiration detection means for detecting respiration.