JP6269980B2 - Sleep information collection system - Google Patents

Description

  The present invention relates to a sleep information collection system for collecting sleep information such as a user's deep sleep rate and deep sleep level with respect to physical properties of bedding.

  2. Description of the Related Art Conventionally, a bedding selection system that evaluates a user's sleep situation and selects a bedding that is considered suitable for the user from a plurality of selection target beddings based on the evaluation is known. In this type of bedding selection system, there is a system in which a plurality of questions are asked to a user, and a sleep state is evaluated based on the answers (for example, see Patent Document 1).

JP 2003-216734 A

  By the way, the conventional bedding selection system as described in Patent Document 1 evaluates the sleep situation based on the user's subjective data of answers to the questions. For this reason, the sleep information that can be collected using the conventional bedding selection system includes a user's subjectivity.

  As a result, the sleep information collected using the conventional bedding selection system is lacking in objectivity, and there is a problem that it is difficult to extract the correlation with the physical properties of the bedding.

  This invention is made | formed in view of the above point, and it aims at providing the sleep information collection system which can collect sleep information with high reliability.

To achieve the above object, the sleep information collection system of the present invention includes a physical information input unit that inputs physical information including the height and weight of a user, and a plurality of test beddings each having different physical properties including hardness. The physical property storage unit for testing that stores the physical properties for each test bedding, the biological information measurement unit that measures the biological information of the user who is sleeping on the test bedding, and the biological information measurement unit A biometric information recording unit that records the biometric information; a deep sleep rate calculation unit that calculates a deep sleep rate in sleep on the test bedding of the user based on the recorded biometric information; and the test After sleeping on bedding, a deep sleep level input unit that inputs the deep sleep level felt by the user, and a sleep information storage unit that stores correlation data of the physical properties, the deep sleep rate , the deep sleep level , and the body information , A suitable bedding recognition unit that compares the deep sleep rate calculated for each bedding and the input deep sleep level and recognizes the test bedding having a high deep sleep rate and the deep sleep level as a suitable bedding; Based on the test bedding recognized as the preferred bedding by the preferred bedding recognition unit and the physical properties stored in the test bedding physical property storage unit, the deep sleep rate and the deep sleep level of the user are determined. And a suitable physical property recognition unit that recognizes the physical property that becomes higher as the suitable physical property .

  As described above, in the sleep information collecting system of the present invention, first, the user sleeps on a trial basis using the test bedding whose physical properties are obtained in advance. Here, the physical properties include hardness that is easy to measure and greatly affects body movement (that is, sleep state).

Then, based on the biological information measured by the biological information measuring unit and recorded by the biological information recording unit during the experimental sleep, the deep sleep rate calculating unit calculates the deep sleep rate. In addition, after the experimental sleep, the user inputs the deep sleep level felt for the sleep to the deep sleep level input unit. Thereafter, the sleep information storage unit stores the calculated deep sleep rate, the input deep sleep level, the user's physical information, and the physical properties of the test bedding used by the user as correlation data.

That is, in the sleep information collection system of the present invention, the deep sleep rate obtained based on the user's individual biometric information and the degree of deep sleep and the user's input that are easy to measure and hardness that greatly affects the sleep situation Correlation data with physical properties is collected by conducting a trial sleep. Therefore, according to the sleep information collection system of the present invention, the sleep information acquired for each user is collected in a state while corresponding to the physical property that actually affects sleep, and thus highly reliable sleep information is collected. be able to.

  Moreover, in the sleep information collection system of this invention, it is preferable that the said physical property contains resilience elasticity. This is because the resilience is relatively easy to measure and greatly affects the body movement (ie, the sleep situation) as well as the hardness.

The schematic diagram which shows schematic structure of the bedding selection system which concerns on embodiment. The flowchart which shows the process which the bedding selection system of FIG. 1 performs by the bedding selection process for a test. The schematic diagram of the screen displayed at the time of the input of a user's physical information on the tablet of the bedding selection system of FIG. The schematic diagram which shows an example of the data table of the correlation data with the physical information of the bedding selection system of FIG. 1, a deep sleep rate, deep sleep, and the physical properties of the test bedding. The flowchart which shows the process which the bedding selection system of FIG. 1 performs at a bedding selection process. The flowchart which shows the process which the bedding selection system of FIG. 1 performs at an information collection process.

  Hereinafter, a bedding selection system according to an embodiment will be described with reference to the drawings. The bedding selection system of the present embodiment includes an information collection system.

  The bedding selection system according to the embodiment will be described below with reference to FIGS.

  First, the configuration of the bedding selection system S will be described with reference to FIG.

  As shown in FIG. 1, the bedding selection system S includes a server 1 managed by a bedding dealer, a tablet 2 installed at the home of the user P, a sensor 3 for measuring the biological information of the user P, A plurality of test beddings T and a plurality of selection beddings M prepared in a bedding store warehouse or the like are provided. The server 1 and the tablet 2 are connected via a network.

  The server 1 is an information processing terminal that includes a CPU, a memory, and the like. The server 1 stores a sleep information storage unit 1a for storing preliminarily collected sleep information, a test property recognition unit 1b for recognizing physical properties of a test bedding used for experimental sleep, and physical properties of the test bedding A test bedding physical property storage unit 1c, and a test bedding selection unit 1d for selecting a test bedding to be used for a trial sleep.

  The sleep information stored in the sleep information storage unit 1a is correlation data of physical properties, deep sleep rate or deep sleep level, and physical information collected in advance. The correlation data is updated based on information from the tablet 2 and a deep sleep rate calculation unit 1f described later.

  Based on the physical information of the user P input from the tablet 2 and the correlation data stored in the sleep information storage unit 1a, the test physical property recognition unit 1b has a high deep sleep rate and deep sleep level. Recognize a physical property that is likely to be a physical property for testing.

  The test bedding physical property storage 1c stores the physical properties of each test bedding T.

  The test bedding selection unit 1d includes a plurality of test beddings T based on the physical properties recognized as the test physical properties by the test physical property recognition unit 1b and the physical properties stored in the test bedding physical property storage unit 1c. The user selects a test bedding that is likely to increase the deep sleep rate and deep sleep level of the user P.

  Further, the server 1 is used from a biological information recording unit 1e that records biological information transmitted from the sensor 3, a deep sleep rate calculation unit 1f that calculates the deep sleep rate of the user P, and a plurality of test beddings T. A suitable bedding recognition unit 1g for recognizing bedding suitable for the person P, a suitable physical property recognition unit 1h for recognizing physical properties suitable for the user P, and a selection target bedding property storage unit 1i for storing the physical properties of the selection bedding M And a bedding selection unit 1j for selecting bedding to be proposed to the user P.

  The biological information recording unit 1e receives and records the biological information measured by the sensor 3 through the tablet 2 while the user P is performing a test sleep with the test bedding T.

  The deep sleep rate calculation unit 1f calculates the deep sleep rate of the user P for each test bedding T based on the information recorded by the biological information recording unit 1e.

  Here, the deep sleep rate indicates the ratio of deep sleep during the entire sleep. Deep sleep refers to the state of sleep stages 3 and 4 of non-REM sleep (that is, the state of slow wave sleep).

  The preferred bedding recognition unit 1g compares the deep sleep rate calculated for each test bedding T with the deep sleep rate input from the tablet 2, and determines the test bedding with a high deep sleep rate and deep sleep level of the user. Recognize as preferred bedding.

  The suitable physical property recognizing unit 1h determines the user P based on the test bedding T recognized as the preferred bedding by the preferred bedding recognizing unit 1g and the physical properties of the test bedding T stored in the test bedding physical property storage unit 1c. The physical properties that increase the deep sleep rate and deep sleep are recognized as suitable physical properties.

  The selection target bedding physical property storage unit 1 i stores the physical properties of each selection target bedding M.

  The bedding selection unit 1j selects a plurality of selection beddings M based on the physical properties recognized as the preferred physical properties by the preferred physical property recognition unit 1h and the physical properties of the selection target bedding M stored in the selection target bedding property storage unit 1i. The bedding that increases the deep sleep rate and deep sleep of the user P is selected.

  The tablet 2 (physical information input unit, deep sleep level input unit) has an input / output unit 2a (see FIG. 3). The user P inputs his / her physical information and the deep sleep level felt after sleeping on the test bedding T via the input / output unit 2a, and the test bedding T and the selection target displayed on the input / output unit 2a. Check the bedding M.

  Here, the level of deep sleep is a degree that the user P feels good sleep after sleep and is subjective. The deep sleep level is expressed in five stages from “1” when the person feels that he / she could not sleep most to “5” when the person feels that he / she fell asleep best. However, the degree of deep sleep may be 4 levels or less, or 6 levels or more.

  Here, the physical information includes gender and age in addition to height and weight. The correlation data stored in the sleep information storage unit 1a is data in which the physical information is associated with the physical properties of the bedding, the deep sleep rate, and the deep sleep level.

  In the bedding selection system S, the tablet 2 is used as the physical information input unit and the deep sleep level input unit so that the user P can easily input physical information and the deep sleep level at home. However, the physical information input unit and the deep sleep level input unit of the present invention may be any device that can input the physical information and the deep sleep level, and other terminals such as a PC may be used. Further, the installation location is not limited to the home of the user P, and may be a storefront of a bedding store or the like.

  The sensor 3 (biological information measuring unit) measures the biological information of the user P who is sleeping with the test bedding and transmits the measured biological information to the biological information recording unit 1 e of the server 1 via the tablet 2. The biological information measured by the sensor 3 may be anything that can calculate the deep sleep rate. For example, it may be a change in electroencephalogram, a change in heart rate, a change in respiration, or the number of body movements during sleep of the user P.

  The plurality of test beddings T have different physical properties. Each test bedding is numbered, and the physical properties of the test bedding are stored in the test bedding physical property storage section 1c for each number of the test bedding.

  The plurality of selection beddings M have different physical properties. Each selection target bedding is numbered, and the selection target bedding physical property storage unit 1i stores the physical properties of the selection target bedding for each number of the selection target bedding.

  Here, the bedding in the bedding selection system S includes bedding positioned under the body of the user P during sleep, such as pillows, mattresses, and pillows, in addition to mattresses. In addition to hardness and impact resilience, physical properties include heat retention, moisture absorption / release properties, material (texture), and the like. In the following description, only hardness will be described, but in the bedding selection system S, other physical properties are also used as criteria for determination in the same manner as the hardness when selecting the test bedding T or the selection bedding M. .

  Note that the bedding of the present invention is not necessarily limited to the above, and a comforter or sleeping clothes may be used as the bedding. And when using them as selection object bedding, the physical property used as a reference should just use what is easy to measure in the bedding and attaches importance to sleep. For example, when a comforter or sleeping clothes are used as the selection bedding, heat retention, moisture absorption / release properties, material (texture), weight, draping property, and the like may be used as a reference.

  In addition, the physical properties of the bedding of the present invention are not necessarily limited to those described above. When the bedding is a mattress, it is only necessary to include at least hardness.

  The bedding selection system S includes an information collection system. Specifically, the information collection system includes an information collection unit Sa of the server 1, a tablet 2, a sensor 3, and a plurality of test beddings T. The information collection unit Sa includes a sleep information storage unit 1a, a test bedding physical property storage unit 1c, a biological information recording unit 1e, and a deep sleep rate calculation unit 1f.

  Next, processing performed by the bedding selection system S in the test bedding selection process will be described with reference to FIGS. FIG. 2 is a flowchart showing the process performed in the test bedding selection process.

  First, the tablet 2 transmits the physical information of the user P input by the user P to the input / output unit 2a of the tablet 2 to the server 1 (FIG. 2 / STEP 10).

  Specifically, as shown in FIG. 3, the user's name, sex, age, height, and weight are input as physical information to the input / output unit 2 a of the tablet 2. The input physical information is transmitted to the test physical property recognition unit 1b of the server 1 via the network.

  Next, the physical property recognizing unit 1b for the server 1 searches the sleep information storage unit 1a for physical properties that are likely to increase the deep sleep rate and the deep sleep level of the user P based on the received physical information. The retrieved physical property is recognized as a test physical property (FIG. 2 / STEP 11).

  Specifically, the test physical property recognition unit 1b is stored in the sleep information storage unit 1a for each target part (that is, the area of the bedding that contacts the body of the user P during sleep) based on the received physical information. The physical properties that are likely to increase the deep sleep rate and the deep sleep level of the user P are searched with reference to the previously collected physical properties, the deep sleep rate or the deep sleep level, and the correlation data of the physical information.

  In this correlation data, as shown in FIG. 4, the average deep sleep rate and the average deep sleep level are associated with physical properties such as BMI value and hardness calculated from height and weight for each sex, age, and target site. It has become a thing. Physical properties include rebound resilience, breathability, weight, material (texture) and the like in addition to hardness. In addition, the target part includes the waist, head, shoulders, and the like.

  Next, the test bedding selection unit 1d of the server 1 searches the test bedding property storage unit 1c for a physical property that matches or is close to the recognized test physical property, and based on the search result, a plurality of properties are obtained. From the test bedding T, the user P selects the test bedding T to be used for the test sleep, and transmits information on the test bedding T to the tablet 2 (FIG. 2 / STEP 12).

  The physical properties of the test bedding T include the same items as the correlation data stored in the sleep information storage unit 1a for each number assigned to each test bedding T. Specifically, hardness, rebound resilience, and the like for each target part are included.

  At this time, the physical properties are acquired for each target region, but the importance of the physical properties varies depending on the target region. Therefore, in the bedding selection system S, first, several test beddings T are selected from all the test beddings T based on the physical properties with the most important waist as the target part, and then the selected test beddings are used. From the bedding T, the test bedding T to be proposed to the user P is selected based on the physical properties of the head and shoulder that are relatively low in importance.

  Finally, the tablet 2 displays the selected test bedding T (FIG. 2 / STEP 13).

  Based on the displayed result, the user P and the bedding distributor make arrangements for the user P to take a trial sleep (delivery of the test bedding T, etc.).

  The selected test bedding T is not necessarily displayed on the tablet 2 as long as the user P can perform a trial sleep using the selected test bedding T. For example, the selected test bedding T may be automatically delivered to the home of the user P based on the selection result.

  The above STEP 10 to STEP 13 are test bedding selection steps in the bedding selection system S.

  Next, processing performed by the bedding selection system S in the bedding selection process will be described with reference to FIGS. 1 and 5. FIG. 5 is a flowchart showing the processing performed in the bedding selection process.

  First, the user P performs a trial sleep with the selected test bedding T. During the sleep, the sensor 3 measures the biological information of the user P who is sleeping with the test bedding T selected in the test bedding selection process, and the biometric information is obtained via the tablet 2. It transmits to the biometric information recording part 1e of the server 1 (FIG. 5 / STEP20).

  The biometric information measured here may be data capable of calculating the deep sleep rate, such as a change in brain wave, a change in heart rate, a change in respiration, or the number of body movements during sleep of the user P.

  Next, the biological information recording unit 1e of the server 1 records the biological information measured by the sensor 3 and transmitted through the tablet 2 (FIG. 5 / STEP 21).

  Next, the deep sleep rate calculation unit 1f of the server 1 calculates the deep sleep rate in the test bedding T selected by the user P based on the biological information recorded by the biological information recording unit 1e (FIG. 5 / (Step 22).

  Specifically, based on the biological information, the time during which the user P is in deep sleep is calculated, and based on the calculated time and the total time of the user P's sleep in the experimental sleep, The deep sleep rate (the ratio of deep sleep during the entire sleep time) is calculated.

  Next, after the test sleep, the user P determines the deep sleep feeling felt for the test sleep using the test bedding T in five levels (numerical values of 1 to 5), input. And the tablet 2 transmits the deep sleep level input by the user P to the server 1 (FIG. 5 / STEP 23).

  In the bedding selection system S, the input deep sleep level is transmitted after the deep sleep rate is calculated (FIG. 5 / STEP 22). However, it may be performed at the same time or before the deep sleep rate is calculated. You may go.

  Next, the suitable bedding recognition unit 1g of the server 1 determines the deep sleep rate and the deep sleep level of the user P based on the deep sleep rate calculated by the deep sleep rate calculation unit 1f and the deep sleep level input to the tablet 2. The test bedding T in which both are increased is recognized as a preferred bedding (FIG. 5 / STEP 24).

  Whether the deep sleep rate and the deep sleep level are high is determined by, for example, calculating the deep sleep rate calculated in one or a predetermined number of test bedding T and the input deep sleep level with a predetermined value. Do by comparing. That is, in the bedding selection system S, when both the deep sleep rate and the deep sleep level are lower than the predetermined values, the test is performed until a test bedding T having both the deep sleep rate and the deep sleep level is detected. Trial sleep using the bedding T for the patient is repeated.

  In addition, when there are few kinds of test bedding T, you may make it perform test sleep with all the test bedding T. In that case, instead of comparing the calculated deep sleep rate and the input deep sleep level with a predetermined value, the deep sleep rate calculated for each test bedding T and the input deep sleep level are compared with each other. May be.

  Moreover, when the user P is satisfied, the trial sleep may be terminated only once. On the contrary, when the user P is not satisfied, even if the deep sleep rate and the deep sleep level are higher than the predetermined values, the experimental sleep using the other test bedding T may be continued.

  Next, the preferred physical property recognizing unit 1h searches the physical properties stored in the test bedding physical property storage unit 1c for the physical properties of the test bedding T recognized as the preferred bedding by the preferred bedding recognition unit 1g, and finds the retrieved physical properties. While recognizing as a suitable physical property, the suitable physical property is transmitted to the tablet 2 (FIG. 5 / STEP25).

  Next, the bedding selection unit 1j of the server 1 searches the selection target bedding property storage unit 1i for a physical property that matches or is close to the recognized preferable physical property, and selects a plurality of selection targets based on the search result. The bedding proposed to the user P is selected from the bedding M, and information on the bedding is transmitted to the tablet 2 (FIG. 5 / STEP 26).

  The physical properties of the selection target bedding M include the same items as the correlation data stored in the sleep information storage unit 1a for each number assigned to each selection target bedding M. Specifically, hardness, rebound resilience, and the like for each target part are included.

  At this time, the physical properties are acquired for each target region, but the importance of the physical properties varies depending on the target region. Therefore, in the bedding selection system S, first, several selection beddings M are selected from all the selection beddings M based on the physical properties with the most important waist as the target part, and then the selected selection target From the bedding M, the selection target bedding M to be proposed to the user P is selected based on the physical properties of the relatively low importance head and shoulder as the target site.

  Finally, the tablet 2 displays suitable physical properties for each target region, the selected selection bedding M and physical properties for each target region (FIG. 5 / STEP 27).

  The physical properties do not necessarily have to be divided for each target region, and may be one physical property for one bedding. Further, the physical properties need not necessarily be displayed on the tablet 2, and only the selection bedding M may be displayed.

  The above STEP 20 to STEP 27 are the bedding selection process in the bedding selection system S.

  Next, processing performed by the bedding selection system S in the information collecting process will be described with reference to FIGS. 1 and 6. FIG. 6 is a flowchart showing processing performed in the information collecting process.

  This information collection process is performed simultaneously with the test bedding selection process and the bedding selection process.

  This information collecting step is performed by an information collecting system included in the bedding selection system S. The information collection system includes an information collection unit Sa of the server 1, a tablet 2, a sensor 3, and a plurality of test beddings T. The information collection unit Sa includes a sleep information storage unit 1a, a test bedding physical property storage unit 1c, a biological information recording unit 1e, and a deep sleep rate calculation unit 1f.

  First, the tablet 2 transmits the physical information of the user P input by the user P to the input / output unit 2a of the tablet 2 to the sleep information storage unit 1a of the server 1 (FIG. 6 / STEP 30).

  At this time, the sleep information storage unit 1a temporarily stores physical information.

  Next, the deep sleep rate calculation unit 1 f of the server 1 measures the depth in the test bedding T selected by the user P based on the biological information measured by the sensor 3 and recorded by the biological information recording unit 1 e of the server 1. The sleep rate is calculated (FIG. 6 / STEP 31).

  Next, the deep sleep rate calculation unit 1f of the server 1 transmits the calculated deep sleep rate to the sleep information storage unit 1a of the server 1 (FIG. 6 / STEP 32).

  At this time, the sleep information storage unit 1a temporarily stores the received deep sleep rate in a form corresponding to the physical information of the user P stored in advance.

  Next, the tablet 2 transmits the deep sleep level input by the user P to the sleep information storage unit 1a of the server 1 (FIG. 6 / STEP 33).

  Next, the tablet 2 transmits the input deep sleep level to the sleep information storage unit 1a of the server 1 (FIG. 6 / STEP 35).

  At this time, the sleep information storage unit 1a temporarily stores the received deep sleep level in a form corresponding to the physical information of the user P stored in advance.

  Finally, the sleep information storage unit 1a of the server 1 calculates, for each physical information temporarily stored, the calculated deep sleep rate, the input deep sleep level, the corresponding test bedding T (that is, its depth) The sleep rate is calculated, and the physical properties of the test bedding T) used in the experimental sleep when the deep sleep level is input are stored (FIG. 6 / STEP 34).

  The above STEP 30 to STEP 34 are information collecting steps in the bedding selection system S.

  As described above, in the bedding selection system S including the sleep information collection system, the deep sleep rate obtained based on the biometric information of the user P individual and the deep sleep level input by the user individual P and measurement are easy. Data on correlations with physical properties, including hardness, that greatly affect sleep conditions are collected through trial sleep.

  Therefore, according to the bedding selection system S including the sleep information collection system, sleep information acquired for each user is collected in a state while corresponding to physical properties that actually affect sleep. Can be collected.

  Although the illustrated embodiment has been described above, the present invention is not limited to such a form.

  For example, in the above embodiment, various types of information are processed in the processing unit included in the server 1. However, information processing need not necessarily be performed by a server. For example, the terminal that performs appropriate processing, such as performing some processing with a tablet, may be changed.

  Moreover, in the said embodiment, the resilience etc. are contained in the physical property made into the object of information collection other than hardness. However, when the bedding is bedding positioned under the user's P body during sleep such as a mattress, it is sufficient that the physical properties include at least hardness. May be excluded. Conversely, physical properties other than those exemplified in the above embodiment may be included in the physical properties to be collected.

DESCRIPTION OF SYMBOLS 1 ... Server, 1a ... Sleep information storage part, 1b ... Test physical property recognition part, 1c ... Test bedding physical property storage part, 1d ... Test bedding selection part, 1e ... Biometric information recording part, 1f ... Deep sleep rate calculation part DESCRIPTION OF SYMBOLS 1g ... suitable bedding recognition part, 1h ... suitable physical property recognition part, 1i ... selection bedding physical property storage part, 1j ... bedding selection part, 2 ... tablet (physical information input part, deep sleep level input part), 2a ... input / output part 3 ... Sensor (biological information measurement unit), M ... Selection target bedding, P ... User, S ... Bedding selection system, Sa ... Information collection unit, T ... Test bedding.

Claims (2)

A physical information input unit for inputting physical information including the height and weight of the user;
A plurality of test beddings having different physical properties including hardness,
A test bedding physical property storage for storing the physical properties for each test bedding;
A biological information measuring unit that measures biological information of a user who is sleeping with the test bedding;
A biological information recording unit that records the biological information measured by the biological information measuring unit;
A deep sleep rate calculation unit for calculating a deep sleep rate in sleep on the user's test bedding based on the recorded biological information;
After sleeping on the test bedding, a deep sleep level input unit for inputting the deep sleep level felt by the user,
A sleep information storage unit for storing correlation data of the physical properties, the deep sleep rate , the deep sleep level , and the physical information ;
A suitable bedding recognition unit for comparing the deep sleep rate calculated for each of the test beddings and the input deep sleep level and recognizing the test bedding having a high deep sleep rate and the deep sleep level as a suitable bedding; ,
Based on the test bedding recognized as the preferred bedding by the preferred bedding recognition unit and the physical properties stored in the test bedding physical property storage unit, the deep sleep rate and the deep sleep level of the user are determined. A sleep information collection system comprising: a suitable physical property recognition unit that recognizes the physical property that is increased as the suitable physical property . The sleep information collection system according to claim 1 ,
The sleep information collecting system, wherein the physical property includes rebound resilience.