JP6169643B2 - Sleep state evaluation apparatus, sleep state evaluation system, and program - Google Patents

Description

  The present invention relates to a sleep state evaluation apparatus and the like.

  Conventionally, various methods for determining a sleep state of a person to be measured are known for the health management of a sleeping person (a person to be measured). As typical methods, sleep polysomnography (PSG), actigraph, and the like are known.

  As an example, Patent Document 1 is disclosed as a method for determining the sleep state of the measurement subject in real time, for example. That is, the body movement (body movement) of the measurement subject is detected, and when the body movement level exceeds the determination threshold during the predetermined detection time, the sleep state is determined as “wakefulness”, and the case below that Is determined as “sleep”.

  An apparatus for evaluating sleep of a sleeper by using such a technique is known. For example, a technique for advising health management related to sleep based on sleep state and life rhythm information input by the person is known (for example, see Patent Document 2).

JP 2008-142238 A JP 2008-071263 A

  However, as described above, for example, a method in which the user (sleeping person) self-reports the life rhythm and measures the life rhythm based on the self-report has a problem that it takes time and effort for the user to answer. Furthermore, in the case of self-reporting, since an objective life rhythm is not determined, there is a problem that an appropriate sleep state cannot always be evaluated.

  In particular, when trying to objectively evaluate the daily rhythm and sleep state of the day, wearing posture detection means must be used in the past, and the user must always wear the posture detection means during the evaluation. did not become.

  In addition, when wearing posture detection means, since it is worn all day, even when lying down other than the bed, it is detected that the person has gone to bed, and important information about where the person lay down is missing. There was a problem such as.

  In view of the above-described problems, an object of the present invention is to detect a sleep state of a sleeping person (a person to be measured) objectively, to determine and evaluate a sleep state and a life rhythm based on the sleep state, and to sleep. It is to provide a sleep state evaluation device and the like that can appropriately output advice for improving the state.

In view of the above-described problems, the sleep state evaluation apparatus of the present invention is
Detecting the vibration of the subject on bedding, and the bed of at least the subject based on the detected vibration, and determines the lifting and, if it is determined that the bed is the detected A storage means for determining sleep or awakening based on whether or not the amount of activity of the measured person measured based on vibration exceeds a predetermined threshold, and storing the determined result as a sleep state;
A calculating means for calculating a bedtime during the day and a sleep time during the day based on the stored sleep state;
Evaluation means for evaluating sleep quality with reference to an evaluation table based on the daytime bedtime and the daytime sleep time;
It is characterized by providing.

The sleep state evaluation system of the present invention comprises:
Detecting the vibration of the subject on bedding, and the bed of at least the subject based on the detected vibration, and determines the lifting and, if it is determined that the bed is the detected A sleep state determination device that determines sleep or awakening based on whether or not the amount of activity of the measured person measured based on vibration exceeds a predetermined threshold, and outputs the determined result as a sleep state, and the sleep state determination In a sleep state evaluation system including a sleep state evaluation device connected to the device,
The sleep state evaluation device
A calculation means for calculating the bedtime during the day and the sleep time during the day based on the sleep state input from the sleep state determination device;
Evaluation means for evaluating sleep quality with reference to an evaluation table based on the daytime bedtime and the daytime sleep time;
It is characterized by providing.

The program of the present invention
On the computer,
Detecting the vibration of the subject on bedding, and the bed of at least the subject based on the detected vibration, and determines the lifting and, if it is determined that the bed is the detected A storage function for determining sleep or awakening based on whether or not the activity amount of the measured person measured based on vibration exceeds a predetermined threshold, and storing the determined result as a sleep state;
A calculation function for calculating daytime bedtime and daytime sleep time based on the stored sleep state;
An evaluation function that evaluates sleep quality with reference to an evaluation table based on the daytime bedtime and the daytime sleep time;
It is characterized by realizing.

  ADVANTAGE OF THE INVENTION According to this invention, it becomes possible to preserve | save a sleep state, to calculate the regularity of sleep based on several preserve | saved sleep states, and to evaluate the quality of sleep based on the regularity of sleep. Therefore, it is possible to provide a sleep state evaluation apparatus that reduces the burden on the person (input work / life rhythm memory) and improves the objectivity of life rhythm evaluation.

It is a figure which shows the external appearance of the sleep state evaluation apparatus and sleep state determination apparatus in this embodiment. It is a figure which shows the external appearance of the sleep state evaluation apparatus and sleep state determination apparatus in this embodiment. It is a figure which shows the function structure of the sleep state determination apparatus in this embodiment. It is a figure which shows the function structure of the sleep state evaluation apparatus in this embodiment. It is a figure for demonstrating the data structure of the sleep state log | history information in this embodiment. It is a figure for demonstrating the data structure of the sleep condition table in this embodiment. It is a figure for demonstrating the data structure of the advice table in this embodiment. It is a figure for demonstrating the data structure of the evaluation table in this embodiment. It is an operation | movement flow for demonstrating operation | movement of the main process in this embodiment. It is an operation | movement flow for demonstrating operation | movement of the sleep state evaluation process in this embodiment. It is an operation | movement flow for demonstrating operation | movement of the nighttime sleep time evaluation process in this embodiment. It is an operation | movement flow for demonstrating the operation | movement of the life rhythm evaluation process in this embodiment. It is an operation | movement flow for demonstrating the operation | movement of the evaluation report output process in this embodiment. It is the figure which showed an example of the evaluation report in this embodiment.

The best mode for carrying out the present invention will be described below with reference to the drawings.
[1. System appearance]
FIG. 1 is a diagram for explaining a method of using the sleep state evaluation apparatus 1. The sleep state evaluation device 1 is an information processing device (for example, a computer) having a function of evaluating a sleep state by receiving a sleep state from the sleep state determination device 2.

  In addition, the sleep state determination device 2 is placed between the floor portion of the bed 10 and the mattress 20. When the person to be measured (for example, a sleeping person) P is present on the mattress 20, the sleep state determination device 2 detects the body movement (vibration) of the person P to be measured via the mattress 20. Then, based on the detected vibration, it is determined whether the user is out of bed or not, and if it is determined that the user is in bed, the amount of activity is calculated, and the sleep state is determined based on the amount of activity. And the determined sleep state is transmitted to the sleep state evaluation apparatus 1 via a radio | wireless. The sleep state evaluation device 1 can evaluate the sleep state of the person P to be measured.

  Here, the sleep state determination device 2 is configured in a sheet shape so as to be thin. Thereby, even if it is placed between the bed 10 and the mattress 20, it can be used without making the person to be measured P feel uncomfortable.

  FIG. 2 is a diagram for explaining the outline of the sleep state evaluation system 9 to which the present invention is applied. As described with reference to FIG. 1, in the present embodiment, the sleep state evaluation device 1 and the sleep state determination device 2 are connected via wireless. For example, IEEE802.11b, Bluetooth (registered trademark), and ZigBee (registered trademark) are connected by wireless communication or wired communication. Further, by incorporating a mobile phone module, it may be connected via a network such as a mobile phone network. Moreover, the sleep state evaluation apparatus 1 may acquire a sleep state via a recording medium (for example, SD card etc.), without communicating directly with the sleep state determination apparatus 2. FIG.

  The sleep state determination device 2 includes a main body unit 50 and a measurement unit 60. Here, the measuring unit 60 can be folded. Thereby, the portability of the sleep state determination apparatus 2 is improved.

  In addition, the communication unit 230 is built in the main body unit 50. Although details of the communication unit 230 will be described later, various data and states are transmitted to the sleep state evaluation apparatus 1 via the communication unit 230. Further, the measurement unit 60 includes a vibration detection unit 210.

  In this embodiment, the sleep state evaluation device 1 will be described using a computer. For example, the sleep state evaluation device 1 may be an information processing device such as a mobile terminal device such as a mobile phone or a smartphone, or a liquid crystal television connected to the processing device. good.

[2. Functional configuration]
Then, the mechanism structure of the sleep state evaluation apparatus 1 and the sleep state determination apparatus 2 is demonstrated using figures.

[2.1 Sleep state determination device]
First, the sleep state determination device 2 that determines the sleep state received by the sleep state evaluation device 1 will be described. In the sleep state determination apparatus 2, a vibration detection unit 210, a storage unit 220, a communication unit 230, and an activity amount calculation unit 240 are connected to the control unit 200 via a bus.

  The control unit 200 is a functional unit for controlling the operation of the sleep state determination device 2, and includes a control circuit necessary for the sleep state determination device 2 such as a CPU. The control unit 200 implements various processes by reading and executing various programs stored in the storage unit 220.

  The vibration detection unit 210 is a sensor unit for detecting the vibration of the measurement subject. For example, the vibration detection unit 210 may detect the vibration (body movement) of the measurement subject using a pressure sensor, or may detect the load (body movement) of the measurement subject using a load sensor. By providing a microphone, vibration (body movement) may be detected based on the sound picked up by the microphone.

  The storage unit 220 is a functional unit that stores various data and programs for the sleep state determination device 2 to operate. The control unit 200 implements various functions by reading and executing a program stored in the storage unit 220. Here, the memory | storage part 220 is comprised by the semiconductor memory etc., for example.

  In addition, an external recording medium may be further connectable to the storage unit 220. That is, the sleep state determined by the sleep state determination unit 250 described later is recorded on the recording medium.

  The communication unit 230 is a functional unit for transmitting and receiving data to and from the sleep state evaluation apparatus 1 connected via a network. As an example of the communication unit 230, for example, a wired connection, a Bluetooth communication unit, a wireless device such as a wireless LAN adapter, or the like is used.

  The activity amount calculation unit 240 is a functional unit for calculating the activity amount of the measurement subject from the vibration detected by the vibration detection unit 210. Here, there are various methods for calculating the activity amount. For example, the vibration detection unit 210 calculates the number of vibrations detected per sampling unit time as the activity amount, The detected vibration intensity may be calculated as the amount of activity.

  Further, as the activity amount output by the activity amount calculation unit 240, for example, the output value that is output may be output as the activity amount as it is, or the change amount of the output value, the change amount of the output value or the output value is predetermined. (For example, “1” if exceeded, “0” if less than threshold), or whether the output value has changed within a predetermined value range may be output. .

  The sleep state determination unit 250 is a functional unit for determining a sleep state based on the activity amount calculated by the activity amount calculation unit 240. For example, the current sleep state is determined using the amount of activity up to 4 minutes before the reference time for determining the sleep state, and transmitted to the sleep state evaluation apparatus 1 via the communication unit 230.

  Here, the sleep state determined in this embodiment is “sleep” when the measurement subject is in the sleep state, “wakefulness” when the measurement subject is in the awake state, and when the measurement subject is out of bed. “Leave” is determined. That is, when it is determined as “sleep” and “wakefulness”, the user is present.

[2.2 Sleep state evaluation device]
Next, the functional configuration of the sleep state evaluation apparatus 1 will be described with reference to FIG. In the sleep state evaluation apparatus 1, a communication unit 110, a storage unit 120, an input unit 150, and a display unit 160 are connected to the control unit 100 via a bus.

  The control unit 100 is a functional unit for controlling the operation of the sleep state evaluation device 1, and is configured by a control circuit necessary for the sleep state evaluation device 1, such as a CPU. The control unit 100 implements various processes by reading and executing various programs stored in the storage unit 120.

  The communication unit 110 is a functional unit for receiving data from the sleep state determination device 2, and includes a device (interface) that can communicate with the communication unit 230.

  The storage unit 120 is a functional unit that stores various data and programs for the sleep state evaluation device 1 to operate. The control unit 100 implements various functions by reading and executing a program stored in the storage unit 120. Here, the storage unit 120 is configured by, for example, a semiconductor memory or a magnetic disk device.

  The storage unit 120 stores sleep state history information 122, a sleep state table 124, an advice table 126, and an evaluation table 128.

  The sleep state history information 122 is information stored about the sleep state input (received) from the sleep state determination device 2. For example, as shown in FIG. 5, the sleep state is stored for each date and time.

  In the present embodiment, the sleep state is stored every minute, but may be stored at predetermined time intervals such as every 30 seconds or every 2 minutes.

  In addition, for example, the time interval of the sleep state is increased (for example, every minute when “sleep” is continuous), and the time interval is decreased (for example, every second) when the sleep state is changed. ) May be used.

  The sleep state table 124 is a table that stores the sleep state for each day based on the sleep state history information 122. For example, as shown in FIG. 6, for each date, the sleeping time (for example, “365 minutes”), the time to sleep (for example, “13 minutes”), and the sleep efficiency (for example, “92.6%”). ), Awakening time during sleep (awakening time) (for example, “14 minutes”), and the number of times of bed leaving (for example, “1 time”).

  Here, sleep time means the total time of sleep time from bedtime to wake-up time, and sleep is the time from sleep time until first sleep appears (for example, lasts for 10 minutes or more) The time until the beginning of the sleep interval.

  The awakening time is the total awakening time from falling asleep (first sleep interval calculated by falling asleep) to falling asleep (sleeping interval closest to the wake-up time). It is the ratio of sleep time in the time from time to wake-up time.

  The advice table 126 is a table that stores advice to be output to the evaluation report. For example, as shown in FIG. 7, an advice code (advice code) and an advice message are stored. The control unit 100 can output an appropriate advice message by referring to the advice code.

  The evaluation table 128 is a table used when evaluating a sleep state. For example, as shown in FIG. 8, evaluation items are stored together with threshold values for each evaluation score. In addition, an advice code (selected advice) selected as an advice message to be displayed and an advice code (emphasized advice) highlighted in the case of a predetermined score are stored.

  Although details will be described later, for example, when calculating the “daytime sleep time evaluation score”, the daytime sleep time is used as a parameter. And if the sleeping time during the day is less than 30 minutes, “5” points, if it is 30 minutes or more and less than 45 minutes, “4” points, if it is 45 minutes or more and less than 60 minutes, “3” points, 60 minutes If it is less than 75 minutes, it is calculated as “2” point, “1” point if it is 75 minutes or more and less than 90 minutes, and “0” point if it is 90 minutes or more.

  If the number is less than a predetermined number (for example, “4” or less), the advice corresponding to the advice code stored in the selected advice is read from the advice table 126. Furthermore, when the number of points is less than a predetermined number (for example, when the number is “2” or less), the advice code for the emphasis advice is highlighted (for example, the color is changed, bolded, blinked, or underlined). And the font size is changed and displayed).

  The input unit 150 is a functional unit for the measurer to instruct and operate the sleep state evaluation device 1 (or the sleep state determination device 2). For example, it is configured by operation buttons, a touch panel, and the like.

  The display unit 160 is a functional unit for displaying the sleep state and displaying the operations of the sleep state determination device 2 and the sleep state evaluation device 1. For example, it is configured by a display device such as a liquid crystal display.

  In addition to the display unit 160, for example, a printing function may be provided. For example, the result of evaluating the sleep state may be printed on a sheet by a printing function together with the display unit 160, or may be printed instead of being displayed on the display unit 160.

[3. Process flow]
Then, the flow of a process of the sleep state evaluation apparatus 1 in this embodiment is demonstrated.

[3.1 Main processing]
First, the main process performed in the sleep state evaluation apparatus 1 is demonstrated using FIG. First, a sleep state determination process is executed by the control unit 100 (step S100).

  Here, the sleep state determination process is a process of generating the sleep state table 124 based on the sleep state history information 122. For example, in order to determine the sleeping time at night, the total sleeping time from the bedtime to the wake-up time set in advance is determined as the sleeping time.

  Here, the bedtime and the wake-up time may be set in advance or may be automatically determined based on the sleep state history information 122.

  Then, it is determined whether the sleep state evaluation apparatus 1 creates a sleep state evaluation report (step S102). Here, when not creating an evaluation report, another process is performed (step S102; No).

  For example, when the process for changing the wake-up / sleep time is selected (step S120; Yes), the date to be changed is selected (step S122), and the wake-up / wake-up time on the selected date is changed ( Step S124).

  Next, when it is selected to create an evaluation report (step S102; Yes), a sleep state evaluation process is executed (step S104). The sleep state evaluation process is evaluated based on a sleep state stored in the past (for example, a sleep state for two weeks in the present embodiment).

  Furthermore, a life rhythm evaluation process is executed (step S106). When the life rhythm evaluation process is executed, an objective life rhythm is evaluated.

  And an evaluation report output process is performed based on the content evaluated by the sleep state evaluation process and the life rhythm evaluation process (step S108). Thereby, the measurer can objectively evaluate the sleep state of the measurement subject. Hereinafter, each process will be described in detail.

[3.2 Sleep state evaluation process]
First, the sleep state evaluation process will be described with reference to FIG. The sleep state evaluation process is a process that mainly evaluates sleep at night, and is a process that is realized by a sleep state evaluation program stored in the storage unit 120 being read and executed by the control unit 100. . Thereby, the evaluation score of each evaluation item is calculated in each process.

  First, nighttime sleep time evaluation processing is executed (step S200). In the nighttime sleep time evaluation process, a sleep time evaluation score is calculated based on the sleep time stored in the sleep situation table 124.

  Here, since the calculation method of the evaluation score in each evaluation item is the same, the nighttime sleep time evaluation process will be described with reference to FIG. 11 as an example.

  First, an average value of sleep time for a predetermined period (for example, two weeks in the case of the present embodiment) is calculated (step S300). Subsequently, the nighttime sleep evaluation score is calculated based on the calculated average value (step S302).

Here, the sleep evaluation score is a maximum of 10 points in this embodiment,
6.5 hours or more and less than 8 hours ... 10 points 6 hours or more and less than 6.5 hours or 8 hours or more and less than 8.5 hours ... 8 points 5.5 hours or more and less than 6 hours or 8.5 hours or more and 9 Less than time: 6 points 5 hours or more but less than 5.5 hours or 9 hours or more but less than 10 hours ... 4 points 4.5 hours or more but less than 5 hours or 10 hours or more but less than 11 hours ... 2 points 4.5 It is calculated by applying less than time or 11 hours or more ... 0 points.

  Thus, when calculating each evaluation score, the average value of each value is used. Moreover, the calculation method of the above-mentioned evaluation score is an example, and is not limited to the above-described method. That is, any method may be used as long as an evaluation score is assigned to a predetermined value to be evaluated.

  Next, a sleep evaluation process is executed (step S202). In the sleep evaluation process, a sleep evaluation score is calculated based on the time until sleep stored in the sleep situation table 124. For example, 10 points for less than 8 minutes, 8 for less than 10, ..., 0 for 60 minutes or more.

  Subsequently, sleep efficiency evaluation processing is executed (step S204). In the sleep efficiency evaluation process, an evaluation score is calculated based on the sleep efficiency stored in the sleep situation table 124. For example, 10 points for 95% or more, 9 points for 92.5% or more, ..., 1 point for 72.5% or more, 0 points for less than 72.5%.

  Subsequently, an awakening time evaluation process is executed (step S206). In the awakening time evaluation process, an evaluation score is calculated based on the time when the user wakes up, that is, the awakening time, stored in the sleep state table 124. For example, 10 points for less than 5 minutes, 9 points for less than 10 minutes, ..., 1 point for less than 70 minutes, 0 points for more than 70 minutes.

  Subsequently, the bed leaving frequency evaluation process is executed (step S208). In the bed leaving frequency evaluation process, an evaluation score is calculated based on the number of bed leavings stored in the sleep situation table 124. For example, 10 points for 0 times, 9 points for less than 0.15 times, ..., 1 point for less than 2.5 times, 0 points for 2.5 times or more.

  It should be noted that in the process for evaluating the number of getting out of bed, the evaluation may be performed by obtaining the time of getting out of the bed instead of the number of times of getting out of the bed. In this case, the bed leaving time is stored again in the sleep state table 124 or the bed leaving time is calculated from the sleep state history information 122. Then, the evaluation score is calculated based on the bed leaving time.

  Thus, each evaluation score is calculated by executing the sleep state evaluation process.

[3.3 Life rhythm evaluation process]
Next, the life rhythm evaluation process will be described with reference to FIG. The life rhythm evaluation process is a process for objectively evaluating the measurement subject's life rhythm.

  As an outline, each parameter value is calculated based on the sleep state history information 122 and the sleep state table 124. This life rhythm is evaluated with a maximum score of 50, and the score is calculated for four factors: “how to spend the day”, “how to spend before going to bed”, “sleeping habit”, and “regularity of sleeping”. Hereinafter, the first factor will be described in detail, and the evaluation score calculation process and the advice determination process are similar processes. Therefore, the second factor to the fourth factor will be described to such an extent that the contents of the invention can be understood.

[3.3.1 Factor 1 "How to spend the day"]
First, in order to evaluate “how to spend the day”, a daytime sleep time evaluation process (step S400) and a daytime bedtime evaluation process (step S402) are executed.

  Specifically, first, in the daytime sleep time evaluation process, the daytime sleep time (1 day sleep time-nighttime sleep time) is calculated. An evaluation score corresponding to the calculated daytime sleep time is determined based on the evaluation table 128 with a maximum score of 5 points.

  For example, when the sleeping time during the day is 50 minutes, the “3” point that is “less than 60 minutes” is the daytime sleeping time evaluation score.

  Similarly, in the daytime bedtime evaluation process, the daytime bedtime (1 day bedtime-nighttime bedtime) is calculated, and the score corresponding to the calculated daytime bedtime is calculated. Is determined based on the evaluation table 128 with a maximum of 5 points. For example, when the daytime bedtime is 150 minutes, the “1” point of “less than 180 minutes” is the daytime bedtime evaluation score. In the case of 180 minutes or more, the evaluation score is 0.

  Next, the score of the first factor (full score of 10) and advice are determined (step S404). In the above case, the score of the first factor is 3 + 1 = 4 points. Also, as advice, based on FIG. 8, 5, 6, 7, 13, 19 are selected as selection advice. Further, since the daytime bedtime evaluation score is 1, the advice 13 is selected as the advice to be highlighted.

[3.3.2 Factor 2 “How to spend before going to bed”]
Subsequently, in order to evaluate how to spend before going to bed, a sleep evaluation process before going to bed (step S406) and an in-bed evaluation before going to bed (step S408) are executed.

  Specifically, in the sleep evaluation process before bedtime, the evaluation score is calculated based on the sleep before sleep (average (sleep time-sleep time) every day) to the sleep time average.

  In the bed-in-bed evaluation process, the evaluation score is calculated based on the bed-time before bedtime (the average of bed-time from the daily (sleeping time-sleep time) time) to the bedtime.

  Then, the score of the second factor is calculated with a maximum score of 10 from each calculated evaluation score, and advice is determined (step S410).

[3.3.3 Factor 3 “Sleeping habits”]
Subsequently, in order to evaluate sleep habits, a bedtime evaluation process (step S412), a wake-up bed evaluation process (step S414), a wakeup time evaluation process (step S416), and a bedtime evaluation process (step S418). ) Is executed.

  Specifically, in the bedtime evaluation process, the evaluation score is calculated with a perfect score of 4 based on the time in bed (average bedtime (time from bedtime to wakeup time)).

  In addition, the wake-up evaluation process is based on the time from waking up in the morning to leaving the bed (the average of the time from the end of the sleep interval immediately before wake-up to the wake-up time) with a score of 3 points. Calculated.

  In the wake-up time evaluation process, the evaluation score is calculated with a maximum of 3 points based on the wake-up time (average wake-up time).

  In the bedtime evaluation process, an evaluation score is calculated with a maximum score of 4 based on the bedtime (average bedtime).

  Then, the score of the third factor is calculated from the calculated evaluation scores with a maximum of 14 points, and advice is determined (step S420).

[3.3.4 Factor 4 “Regularity of Sleep”]
Subsequently, a bedtime regularity evaluation process (step S422) and a wakeup time regularity evaluation process (step S424) are executed in order to evaluate the regularity of sleep.

  Specifically, in the bedtime regularity evaluation process, the evaluation score is calculated with a maximum score of 8 based on the regularity of bedtime (standard deviation of bedtime).

  In the wake-up time regularity evaluation process, the evaluation score is calculated with a maximum score of 8 based on the regularity of the wake-up time (standard deviation of the wake-up time).

  Then, the score of the fourth factor is calculated from the calculated evaluation scores with a maximum of 16 points, and advice is determined (step S426).

[3.4 Evaluation report output processing]
Next, the evaluation report output process will be described with reference to FIG. Here, the evaluation report may be output so as to be displayed on a display screen such as a liquid crystal display device, or may be printed out on a recording sheet from a printing device such as a printer. Moreover, it is good also as outputting to the other system (for example, electronic medical chart system) connected.

  First, a sleep diary is generated from the sleep state history information 122 (step S500). Here, the sleep diary displays the state of the sleep state history information 122 on a graph. Note that the sleep diary may not be generated (not output).

  Subsequently, the sleep state evaluation score is output based on each evaluation score evaluated in the sleep state evaluation process (step S104 in FIG. 9) (step S502). Then, based on each evaluation score evaluated in the life rhythm evaluation process (step S106 in FIG. 9), a life rhythm evaluation score is output (step S504).

  Further, in the life rhythm evaluation process, each determined advice is read from the advice table 126 and output as sleep advice (step S506).

  Thus, an evaluation report is output by displaying the information based on the evaluation score evaluated in the sleep state evaluation process and the life rhythm evaluation process and the sleep advice.

  Here, it is possible to select whether output is necessary for the items to be output described above. That is, it is good also as outputting only the information based on each evaluation score of night sleep and the evaluation score of life rhythm, and is good also as outputting only sleep advice.

  Moreover, in the above-mentioned sleep state evaluation process, when calculating the evaluation score of each evaluation item, although it calculates based on the average value of the sleep state for several days (for example, 2 weeks), for example, sleep state evaluation process For, processing that is calculated based only on the previous day is also possible.

[4. Example]
Next, an example of an evaluation report will be described with reference to FIG. FIG. 14 is a diagram showing an example of an output evaluation report.

  In the evaluation report, a sleep diary (R10 in FIG. 14), a current sleep evaluation (R12 in FIG. 14), and sleep advice (R14 in FIG. 14) are displayed. The measurer can easily grasp the sleep state of the measurement subject by confirming the evaluation report.

  In addition, about the sleep evaluation of FIG. 14, although each evaluation score is represented with the radar chart, for example, each score may be displayed as a specific numerical value, for example, it outputs in other formats, such as a pie chart. Also good. Moreover, you may display the numerical value and score of each item with a radar chart etc.

  Thus, according to the present embodiment, it is possible to provide a sleep state evaluation apparatus that reduces the burden on the person (memory of input work / life rhythm) and improves the objectivity of life rhythm evaluation.

  For example, if you spend too much time in the bed, the bedtime or wake-up time is irregular, you sleep in the bed during the day, go to the bathroom many times at night, etc. The cause can be estimated.

  It can also be estimated that the sleep quality is better for people who have regular bedtime or wake-up time, or who are away from bed during the day, even if sleep indices such as sleep time and mid-wake time are the same. .

[5. Modified example]
The embodiment of the present invention has been described in detail with reference to the drawings. However, the specific configuration is not limited to this embodiment, and the design and the like within the scope of the present invention are also within the scope of the claims. include.

  In the embodiment described above, the evaluation score 128 is calculated without using the evaluation table 128 in the sleep state evaluation process, and each evaluation score is calculated using the evaluation table 128 in the life rhythm evaluation process. However, the present invention is not limited to this. No.

  That is, in order to calculate each evaluation score, a threshold value may be stored as in the evaluation table 128, or the evaluation score may be calculated by a program. Therefore, by storing the parameters, the evaluation table 128 can be used in the sleep state evaluation process. By using the evaluation table 128, for example, the measurer can change the value of the parameter to make an appropriate evaluation.

  Moreover, the evaluation table 128 may be memorize | stored for every age and sex, for example. This makes it possible to store an appropriate value such as a wake-up time for each age, and more appropriate evaluation can be performed.

  Further, in the above-described embodiment, the sleep state is determined by the sleep state determination device 2 and then transmitted, but may be performed by the sleep state evaluation device 1. 3 may be stored in the sleep state evaluation device 1 and the sleep state evaluation device 1 may determine the sleep state based on the amount of activity output from the sleep state determination device 2. Furthermore, by storing the activity amount calculation unit 240 in the sleep state evaluation device 1, the sleep state determination device 2 may transmit only the information detected by the vibration detection unit 210 to the sleep state evaluation device 1.

  Moreover, it is good also as performing the sleep condition determination process S100, sleep state evaluation process S104, life rhythm evaluation process S106, etc. with the server connected to the sleep state evaluation apparatus 1. FIG. That is, the sleep state is transmitted from the sleep state evaluation device 1 to the server. On the server side, an evaluation report is output by executing sleep state determination processing S100, sleep state evaluation processing S104, life rhythm evaluation processing S106, and the like. This makes it possible to appropriately output an evaluation report even for a terminal that does not have high processing performance, such as a portable terminal.

  Moreover, in embodiment mentioned above, although the sleep state determination apparatus 2 and the sleep state evaluation apparatus 1 demonstrated one-to-one, you may combine a some apparatus. For example, when used in a nursing facility or a hospital, there are generally a plurality of persons to be measured (for example, patients or care recipients), and the sleep states of a plurality of persons to be measured in the sleep state evaluation apparatus It is also good to manage. In addition, since there may be a plurality of measurers (for example, nurses and care staff), a plurality of sleep state evaluation devices may be provided.

DESCRIPTION OF SYMBOLS 1 Sleep state evaluation apparatus 100 Control part 110 Communication part 120 Storage part 122 Sleep state history information 124 Sleep state table 126 Advice table 128 Evaluation table 150 Input part 160 Display part 2 Sleep state determination apparatus 200 Control part 210 Vibration detection part 220 Storage part 230 communication unit 240 activity amount calculation unit 250 sleep state determination unit

Claims (3)

Detecting the vibration of the subject on bedding, and the bed of at least the subject based on the detected vibration, and determines the lifting and, if it is determined that the bed is the detected A storage means for determining sleep or awakening based on whether or not the amount of activity of the measured person measured based on vibration exceeds a predetermined threshold, and storing the determined result as a sleep state;
A calculating means for calculating a bedtime during the day and a sleep time during the day based on the stored sleep state;
Evaluation means for evaluating sleep quality with reference to an evaluation table based on the daytime bedtime and the daytime sleep time;
A sleep state evaluation apparatus comprising: Detecting the vibration of the subject on bedding, and the bed of at least the subject based on the detected vibration, and determines the lifting and, if it is determined that the bed is the detected A sleep state determination device that determines sleep or awakening based on whether or not the amount of activity of the measured person measured based on vibration exceeds a predetermined threshold, and outputs the determined result as a sleep state, and the sleep state determination In a sleep state evaluation system including a sleep state evaluation device connected to the device,
The sleep state evaluation device
A calculation means for calculating the bedtime during the day and the sleep time during the day based on the sleep state input from the sleep state determination device;
Evaluation means for evaluating sleep quality with reference to an evaluation table based on the daytime bedtime and the daytime sleep time;
A sleep state evaluation system comprising: On the computer,
Detecting the vibration of the subject on bedding, and the bed of at least the subject based on the detected vibration, and determines the lifting and, if it is determined that the bed is the detected A storage function for determining sleep or awakening based on whether or not the activity amount of the measured person measured based on vibration exceeds a predetermined threshold, and storing the determined result as a sleep state;
A calculation function for calculating daytime bedtime and daytime sleep time based on the stored sleep state;
An evaluation function that evaluates sleep quality with reference to an evaluation table based on the daytime bedtime and the daytime sleep time;
A program to realize