JP2021142286A - Sleep state evaluation device, sleep state evaluation method, and sleep state evaluation program - Google Patents

Abstract

To simply and objectively evaluate regularity of sleep.SOLUTION: A sleep state evaluation device 10 comprises an information acquisition part 12 for acquiring information on a plurality of pairs of a going-to-bed time and a getting-up time thereafter; a center time calculation part 31 for calculating the center time between the going-to-bed time and the getting-up time in each pair on the basis of the acquired information; a variation calculation part 32 for calculating statistical variation in the calculated center times; and an evaluation part 15 which evaluates regularity of sleep of a subject based on the statistical variation in the center times.SELECTED DRAWING: Figure 1

Description

The present invention relates to devices, methods and programs for assessing a subject's sleep state.

For the health management of the subject, a system for evaluating the sleep state of the subject has been developed. In the system disclosed in Patent Document 1, "sleep habit" is regarded as one of the evaluation indexes. Sleep habits are assessed based on the answers reported by the subject to multiple questions about regularity of bedtime and regularity of wakeup time.

Japanese Unexamined Patent Publication No. 2008-71263

When the regularity of sleep is evaluated based on the subject's declaration, it is complicated because the subject's labor increases. Moreover, it is difficult to obtain an objective evaluation result.
Therefore, an object of the present invention is to provide a device, a method and a program capable of easily and objectively evaluating sleep regularity.

The sleep state evaluation device according to one embodiment of the present invention has an information acquisition unit that acquires information on a plurality of sets of bedtime and subsequent wake-up time, and each set of bedtime and wake-up time based on the acquired information. A central time calculation unit that calculates the central time between the time and the time, a variation calculation unit that calculates the calculated statistical variation of the central time, and a sleep rule of the subject based on the statistical variation of the central time. It is equipped with an evaluation unit that evaluates sex.

According to the above configuration, the regularity of sleep is evaluated based on the statistical variation of the central time between the bedtime and the wakeup time. By quantitative evaluation of sleep regularity, sleep regularity can be objectively evaluated. Moreover, since one of the evaluation indexes is "statistical variation in the central time", the regularity of sleep can be easily evaluated as compared with the case of evaluation using both the bedtime and the wake-up time.

The sleep state evaluation method according to one embodiment of the present invention includes an information acquisition step for acquiring information on a plurality of sets of bedtime and subsequent wake-up time, and the bedtime and wake-up time of each set based on the acquired information. The central time calculation step that calculates the central time between the two, the variation calculation step that calculates the calculated statistical variation of the central time, and the regularity of sleep of the subject based on the statistical variation of the central time. It includes an evaluation step to evaluate.

The sleep state evaluation program according to one embodiment of the present invention includes an information acquisition step for acquiring information on a plurality of sets of bedtime and subsequent wake-up time, and the bedtime and wake-up time of each set based on the acquired information. The central time calculation step that calculates the central time between the two, the variation calculation step that calculates the calculated statistical variation of the central time, and the regularity of sleep of the subject based on the statistical variation of the central time. Have the computer execute a sleep state evaluation method including an evaluation step for evaluation.

According to the present invention, the regularity of sleep can be evaluated easily and objectively.

It is a block diagram which shows the sleep state evaluation system including the sleep state evaluation apparatus which concerns on embodiment. It is a flowchart which shows the sleep state evaluation method which concerns on embodiment. It is a figure which shows the data acquired by the information acquisition part. It is a figure which shows the regularity calculation process by the sleep regularity calculation part. (A) and (B) are diagrams showing an example of the evaluation result by the evaluation unit. It is a figure which shows the regularity calculation process which concerns on a modification.

Hereinafter, embodiments will be described with reference to the drawings.
[Sleep state evaluation system]
FIG. 1 is a block diagram showing a configuration of a sleep state evaluation system 1 including a sleep state evaluation device 10 according to an embodiment.
The sleep state evaluation system 1 is a system for evaluating the sleep state of a subject, and includes a sleep state evaluation device 10, a sleep meter 51, and a display 52 as shown in FIG.

The sleep state evaluation device 10 evaluates the sleep state of the subject based on the data indicating the sleep state of the subject input from the sleep meter 51, and outputs the evaluation result. The evaluation result is displayed as image information on the display 52.
As an example, the sleep meter 51 is a wearable device that is detachably attached to the arm of the subject. The sleep meter 51 measures data on the sleep state of the subject. The sleep meter 51 is communicably connected to the sleep state evaluation device 10. The measured data is output to the sleep state evaluation device 10. Data for a plurality of days is output to the sleep state evaluation device 10 for the calculation of the sleep feature amount described later. The number of days required to calculate the sleep feature amount is not particularly limited, but if it is 7 days or more, evaluation using a numerical value indicating sleep regularity can be preferably performed. The sleep state evaluation device 10 receives data from a plurality of sleep totals 51 corresponding to each of the plurality of subjects, and evaluates the sleep states of the plurality of subjects.

The sleep meter 51 may be, for example, a stationary device installed at the bedside of the subject and measuring data on the sleep state of the subject.
The sleep state evaluation device 10 is composed of, for example, a computer having a CPU, a memory, and an interface. In the computer as the sleep state evaluation device 10, the "sleep state evaluation method" is implemented by the CPU executing a control program stored in advance in the memory.

The sleep state evaluation device 10 includes an input unit 11, an information acquisition unit 12, a storage unit 13, a sleep feature amount calculation unit 14, an evaluation unit 15, and an output unit 16.
The data measured by the sleep meter 51 is input to the input unit 11. The input data is stored in the storage unit 13.
The information acquisition unit 12 processes the input data to acquire the information necessary for calculating the sleep feature amount before evaluating the sleep state.

As shown in FIG. 1, the storage unit 13 is connected to the input unit 11, the information acquisition unit 12, and the sleep feature amount calculation unit 14. The storage unit 13 stores the data of the sleep meter 51 input to the input unit 11, the information acquired by the information acquisition unit 12, and the sleep feature amount calculated by the sleep feature amount calculation unit 14.
The sleep feature amount calculation unit 14 calculates the sleep feature amount as an index for evaluating the sleep state based on the information acquired by the information acquisition unit 12.

In the present embodiment, the sleep feature quantity is composed of three feature quantities of "amount of sleep", "quality of sleep", and "regularity of sleep". Correspondingly, the sleep feature amount calculation unit 14 includes a sleep amount calculation unit 21 that calculates a numerical value indicating the amount of sleep, a sleep quality calculation unit 22 that calculates a numerical value indicating the sleep quality, and sleep regularity. It has a sleep regularity calculation unit 23 for calculating a numerical value indicating.
The evaluation unit 15 is connected to the sleep feature amount calculation unit 14, and evaluates the sleep state of the subject based on various sleep feature amounts calculated by the sleep feature amount calculation unit 14.
The output unit 16 outputs the evaluation result of the sleep state evaluated by the evaluation unit 15 to the display 52.
The operation or function of each part of the sleep state evaluation device 10 will be described below together with the procedure of the sleep state evaluation method.

[Sleep state evaluation method]
FIG. 2 is a flowchart showing a sleep state evaluation method according to the embodiment. FIG. 3 is an explanatory diagram of preprocessing executed by the information acquisition unit 12. FIG. 4 is an explanatory diagram of a process for calculating sleep regularity executed by the sleep regularity calculation unit 23. 5 (A) and 5 (B) are diagrams showing an example of the evaluation result by the evaluation unit 15.

In the sleep state evaluation method of the present embodiment, as shown in FIG. 2, first, the information acquisition unit 12 executes preprocessing of the input data stored in the storage unit 13 (S1). As a result, the information necessary for calculating the sleep feature amount is acquired.
In the preprocessing, a data list for one month or several months is created for each subject and each day. Further, in the preprocessing, data having a sleep time of 10 hours or more is deleted. As a result, false detection data can be excluded, and the sleep state can be evaluated accurately.

When the preprocessing by the information acquisition unit 12 is completed, the sleep feature amount calculation unit 14 calculates the sleep feature amount based on the information acquired by the information acquisition unit 12 (S2).
More specifically, the sleep amount calculation unit 21 calculates a numerical value indicating the amount of sleep (S21), and the sleep quality calculation unit 22 calculates a numerical value (sleep efficiency) indicating the sleep quality (S22). The sleep regularity calculation unit 23 calculates a numerical value indicating sleep regularity (S23).

(Information acquisition)
The information acquisition unit 12 acquires information on the bedtime t1, the wake-up time t2, the sleep period Δ1 and the awakening period Δ2 for a plurality of days based on the input data of each subject, as shown in FIG. A data list is created.
The bedtime t1 is the time when the subject goes to bed. The wake-up time t2 is the time when the subject wakes up from the bed.

The sleep period Δ1 is a period during which the subject was sleeping in the period from the bedtime t1 to the wake-up time t2 (hereinafter, referred to as “sleeping period T”).
The awakening period Δ2 is the period during which the subject was awake during the bedtime period T. The awakening period Δ2 is a period obtained by removing the sleep period Δ1 from the bedtime period T, and the sum of the sleep period Δ1 and the awakening period Δ2 is the bedtime period T.
Therefore, the information acquisition unit 12 may acquire only one of the sleep period Δ1 and the awakening period Δ2. If one of the information has been acquired, the information acquisition unit 12 can acquire the other information by using the information regarding the bedtime period T (bedtime t1 and wakeup time t2).

(Sleep amount calculation)
The sleep amount calculation unit 21 calculates the bedtime period T as a numerical value indicating the amount of sleep. The sleep amount calculation unit 21 extracts the data set of the bedtime t1 and the wake-up time t2 associated with each other on the same date, and subtracts the bedtime t1 from the wake-up time t2 to obtain the bedtime T of the date. calculate. Since the information acquisition unit 12 creates a data list for a plurality of days, the sleep amount calculation unit 21 can calculate the bedtime period T for the plurality of days.
The sleep amount calculation unit 21 may calculate the average value of the calculated bedtime T for a plurality of days.
A numerical value (a bedtime period T and its average value) indicating the calculated amount of sleep is stored in the storage unit 13.

(Sleep quality calculation)
The sleep quality calculation unit 22 calculates the sleep efficiency as a numerical value indicating the quality of sleep.

“Sleep efficiency” is the ratio of the sleep period Δ1 to the bedtime period T. As an example, the sleep quality calculation unit 22 extracts a data set of the bedtime period T and the sleep period Δ1 associated with each other on the same date.
The bedtime period T is stored in the storage unit 13 as a result of the calculation process by the sleep amount calculation unit 21.

The sleep quality calculation unit 22 calculates the sleep efficiency on the date by dividing the sleep period Δ1 by the bedtime period T. The sleep quality calculation unit 22 may obtain the sleep efficiency as a numerical value of a percentage by multiplying this division value by 100.
As described above, the sleep period Δ1 is a period obtained by removing the awakening period Δ2 from the bedtime period T, and the information acquisition unit 12 may acquire only the awakening period Δ2. In that case, the sleep quality calculation unit 22 calculates the sleep period Δ1 by extracting the data set of the bedtime period T and the awakening period Δ2 associated with each other on the same date and subtracting the awakening period Δ2 from the bedtime period T. Get it with.

Next, the sleep quality calculation unit 22 divides the acquired sleep period Δ1 by the bedtime period T. Thereby, the sleep efficiency can be calculated in the same manner as described above.
Similar to the amount of sleep, the sleep quality calculation unit 22 can calculate the sleep efficiency for a plurality of days. The sleep quality calculation unit 22 may calculate the average value of the calculated sleep efficiencies for a plurality of days. The numerical value (sleep efficiency and its average value) indicating the sleep quality calculated by the sleep quality calculation unit 22 is stored in the storage unit 13.

(Sleep regularity calculation)
The sleep regularity calculation unit 23 calculates the statistical variation of the central time tm as a numerical value indicating the sleep regularity. The sleep regularity calculation unit 23 has a central time calculation unit 31 that calculates the central time tm, and a variation calculation unit 32 that calculates the statistical variation of the calculated central time tm.

With reference to FIG. 4, the central time calculation unit 31 extracts a plurality of data sets consisting of the bedtime t1 associated with the same date and the subsequent wake-up time t2 (bedtime t1 column and wake-up time). See multiple dotted rectangles straddling column t2).
The central time calculation unit 31 calculates the central time tm between the bedtime t1 and the wake-up time t2 of each group. The central time tm is a time exactly between the bedtime t1 and the wake-up time t2. In order to calculate the central time tm, the central time calculation unit 31 calculates the bedtime period T, which is the period between the bedtime time t1 and the wake-up time t2. The central time calculation unit 31 calculates the central time tm by adding half the value of the bedtime period T to the bedtime t1 or subtracting the half value of the bedtime period T from the wake-up time t2. That is, the central time calculation unit 31 calculates the half value of the sum of the bedtime t1 and the wake-up time t2 as the central time tm. The central time calculation unit 31 calculates the central time tm for a plurality of days.

The variation calculation unit 32 calculates the statistical variation of the central time tm for a plurality of days. The number of data (that is, the number of days) required for calculating the statistical variation is not particularly limited, but it is preferable if there is data of 7 days or more.
The “statistical variation” may be any index that quantitatively indicates the degree of variation in the data. The statistical variation is, for example, a difference value δtm with respect to the average value Atm of the central time tm, an average value Aδtm, a variance Vtm of the central time tm, or a standard deviation σtm of the central time tm.

For the above indicators, the average value Atm of the central time tm is required. The variation calculation unit 32 calculates the average value Atm of the central time tm, and calculates the difference value δtm from the average value Atm of the central time tm for each date.
The variation calculation unit 32 may calculate the average value Aδtm of the obtained difference values δtm for a plurality of days as statistical variations. The variation calculation unit 32 may calculate the variance Vtm at the central time tm by using the obtained difference value δtm for a plurality of days as the statistical variation. Further, the variation calculation unit 32 may calculate the standard deviation σtm of the central time tm by using the obtained variance Vtm as the statistical variation.

The numerical value (statistical variation at the central time tm) indicating the sleep regularity calculated by the variation calculation unit 32 is stored in the storage unit 13. In this embodiment, as an example, it is assumed that the standard deviation σtm is calculated as a statistical variation.

(evaluation)
Next, the evaluation unit 15 evaluates the sleep state of the subject based on the sleep feature amount calculated by the sleep feature amount calculation unit 14 (S3 in FIG. 2).
The evaluation unit 15 evaluates the amount of sleep of the subject based on the period of stay T. The evaluation unit 15 evaluates the sleep quality of the subject based on the sleep efficiency. The evaluation unit 15 evaluates the sleep regularity of the subject based on the statistical variation of the central time tm. The evaluation method is not particularly limited. Each index may be scored based on the calculated numerical value. In that case, the number of stages in which the points are divided (in other words, the maximum number of points) is not particularly limited.

Next, the output unit 16 outputs the evaluation result by the evaluation unit 15 (S4 in FIG. 2).
In the present embodiment, the output unit 16 of the sleep state evaluation device 10 is connected to the display 52, and the evaluation result is displayed on the display 52.
When the evaluation unit 15 evaluates the sleep state by points, even if the points (evaluation results) of the three indicators are displayed in the form of a radar chart as shown in FIGS. 5 (A) and 5 (B). good. By displaying the evaluation results in the form of a radar chart, the evaluation results of the three indexes can be referred to at the same time, the high or low of the evaluation between the indexes can be easily determined, and the comprehensive evaluation of the sleep state can be easily performed.

In the example of FIG. 5 (A), the amount of sleep and the quality of sleep are satisfactory, but the evaluation of sleep regularity is not high. It can be easily determined that the sleep state of the subject with ID001 is irregular and that the sleep quality can be maintained high even if the sleep state is irregular.
In the example of FIG. 5 (B), the sleep quality is satisfactory, but the evaluation of sleep amount and sleep regularity is not high. It can be easily determined that the sleep amount of the subject with ID002 is small and the sleep state is irregular, and that the sleep quality can be maintained high even if the sleep amount is irregular and the sleep amount is insufficient.

As described above, in the sleep state evaluation device 10 of the present embodiment, the regularity of sleep is evaluated based on the statistical variation of the central time tm between the bedtime time t1 and the wake-up time t2, and the sleep regularity is evaluated. Quantitative evaluation can objectively evaluate sleep regularity. Further, in the sleep state evaluation device 10 of the present embodiment, a single index of central time tm is used. Therefore, the number of data required for the evaluation can be reduced and the regularity of sleep can be easily evaluated as compared with the case where the evaluation is performed using both the bedtime t1 and the wake-up time t2.

The information necessary for calculating the central time tm is not detected by the subject's declaration, but by the sleep meter 51 installed at or near the subject himself / herself. Therefore, the convenience of evaluation is improved in that the labor of the subject can be saved as much as possible.
Although the embodiments have been described above, the above configuration can be appropriately modified, added and / or deleted within the scope of the present invention.

In the above embodiment, a plurality of indexes using the average value of the central time tm are exemplified as the statistical variation, and the standard deviation is adopted as a suitable example thereof. However, the statistical variation may be obtained by other calculation methods. good.
For example, as shown in FIG. 6, the elapsed time Δm from the reference time (for example, midnight) of the central time tm is calculated (if the central time tm is before midnight, the elapsed time is treated as a negative value. ), The maximum value Δmmax and the minimum value Δmmin may be extracted from the elapsed time Δm for the last few days, and the difference δMm between the maximum value Δmmax and the minimum value Δmmin may be adopted as an index. In this case, it is possible to determine whether the sleep regularity is good or bad in the last few days. The number of data required for index calculation, that is, the number of days of data to be referred to in the latest, is not particularly limited, but for example, 7 days can satisfactorily determine the regularity. The number of data required for reference can be reduced to maintain the accuracy of evaluation, and regularity can be easily evaluated.

1 Sleep state evaluation system 10 Sleep state evaluation device 12 Information acquisition unit 13 Storage unit 14 Sleep feature amount calculation unit 15 Evaluation unit 16 Output unit 23 Sleep regularity calculation unit 31 Central time calculation unit 32 Variation calculation unit 51 Sleep meter

Claims (10)

An information acquisition unit that acquires information on multiple sets of bedtime and subsequent wake-up time,
Based on the acquired information, the central time calculation unit that calculates the central time between the bedtime and wake-up time of each group,
The variation calculation unit that calculates the calculated statistical variation of the central time,
An evaluation unit for evaluating the sleep regularity of a subject based on the statistical variability of the central time is provided.
Sleep state evaluation device. For the central time, half the value of the bedtime period from the bedtime to the subsequent wake-up time is added to the bedtime, or the half value of the bedtime period is subtracted from the wake-up time. Calculated by,
The sleep state evaluation device according to claim 1. The evaluation unit evaluates the amount of sleep of the subject based on the period of stay in bed.
The sleep state evaluation device according to claim 2. The information acquisition unit acquires information on the awakening period during which the subject was awake during the period of staying in bed.
The evaluation unit evaluates the sleep efficiency of the subject based on the period of staying in bed and the period of awakening.
The sleep state evaluation device according to claim 2 or 3. The information about the bedtime and the wake-up time is detected by a wearable device worn on the subject himself / herself.
The sleep state evaluation device according to any one of claims 1 to 4. The statistical variation is the standard deviation.
The sleep state evaluation device according to any one of claims 1 to 5. The statistical variation is the difference between the calculated maximum and minimum values of the plurality of central times.
The sleep state evaluation device according to any one of claims 1 to 5. An output unit for outputting the evaluation result by the evaluation unit is provided.
The sleep state evaluation device according to any one of claims 1 to 7. An information acquisition step to acquire information on multiple sets of bedtime and subsequent wake-up time,
Based on the acquired information, a central time calculation step that calculates the central time between the bedtime and wake-up time of each group, and
The variation calculation step for calculating the calculated statistical variation of the central time, and
An evaluation step for evaluating the sleep regularity of a subject based on the statistical variability of the central time is provided.
Sleep state evaluation method. An information acquisition step to acquire information on multiple sets of bedtime and subsequent wake-up time,
Based on the acquired information, a central time calculation step that calculates the central time between the bedtime and wake-up time of each group, and
The variation calculation step for calculating the calculated statistical variation of the central time, and
An evaluation step for evaluating the sleep regularity of a subject based on the statistical variability of the central time, and
A sleep state evaluation program that causes a computer to execute a sleep state evaluation method equipped with.

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