KR102603248B1 - Measuring method of tossing and turning during sleep - Google Patents

Abstract

The present invention relates to a method of measuring tossing and turning during sleep. When a user moves during sleep on a mattress such as a bed, motion data is recorded at a set time period and the magnitude and variance values of the motion data are recorded. By calculating the number of tossings and turnings, it is highly reliable to determine whether tossing and turning occurs as well as the number of times, and the user can attach a portable device such as their smartphone to the mattress of the bed without having to install or wear a separate device on the mattress. It provides a method of measuring tossing and turning during sleep that can comfortably measure the user's tossing and turning by a simple method of placing the device on top.

Description

{Measuring method of tossing and turning during sleep}

The present invention relates to a method for measuring tossing and turning during sleep. More specifically, the present invention relates to a method of measuring tossing and turning during sleep. It is highly reliable when measuring tossing and turning during sleep and can be easily applied to a portable device such as a smartphone carried by the user during sleep without a separate device. It's about how to measure.

In general, sleep has a great impact on not only daily life but also health, so improving sleep quality is very important for human physical and mental health.

In particular, adequate sleep has the effect of recovering from fatigue, improving immunity and concentration, relieving stress, and recovering from inflammation and muscle recovery. For adults, it is generally recommended to get about 7 to 8 hours of sleep per day.

Meanwhile, people who suffer from sleep disorders can identify the cause of the sleep disorder and treat symptoms through polysomnography, but polysomnography is not only cumbersome and inconvenient because it requires the device to be attached to too many areas, such as the nose, face, and scalp. However, it costs a lot of money and there is the inconvenience of having to visit a hospital and stay in the laboratory for more than one night to get measurements.

Of course, Patent Registration No. 10-2377703 (Reference 1) has been proposed as a prior art that can solve this problem. This relates to a sleep diagnosis device. The sleep diagnosis device according to one aspect includes a sensing unit including a plurality of sensors for acquiring sleep diagnosis data of a user, a memory for storing the sleep diagnosis data, and a broadcast device for transmitting the sleep diagnosis data. Activate the casting BLE module and any one sensor with the lowest power consumption among the plurality of sensors and deactivate the remaining sensors, detect whether the user enters sleep using the activated sensor, and detect whether the user enters sleep. When it is detected that it has not entered sleep, the broadcast function of the BLE module and the data storage function of the memory are controlled to be deactivated, and when entry into sleep is detected, the remaining sensors are activated to It includes a processor that controls to obtain sleep diagnosis data.

However, the sleep diagnosis device must be equipped with a BLE module to broadcast sleep diagnosis information related to at least one of the user's sleep apnea, snoring, movement during sleep, and sleep stage time at predetermined time intervals, and must be equipped with a smartphone or tablet. Analysis devices such as various computing devices such as PCs, general PCs, and servers acquire sleep diagnosis data output (broadcast) from the sleep diagnosis device and perform the operation of generating sleep diagnosis information using the acquired sleep diagnosis data. Although it can be done, the configuration is complicated and there is also the inconvenience of having to install or wear these devices separately on the bed.

In addition, even if the user uses a smartphone as an analysis device, the user must purchase an additional sleep diagnosis device equipped with a module that supports low-power wireless communication methods such as BLE (Bluetooth Low Energy), which is a cost burden. It also exists.

In addition, the sleep diagnosis device can collect sleep diagnosis data related to the user's movements (tossing and turning, etc.) through an acceleration sensor, and the acceleration sensor can be implemented as a 9-axis gyro sensor. In this case, the sleep diagnosis data is 9 above. Information related to the user's movements during sleep (occurrence point, degree of movement, number of movements, etc.) can be obtained based on the hourly inclination value provided from the acceleration sensor, including the inclination value measured by the axial gyro sensor. The degree of tossing and turning varies from person to person, making it impossible to accurately measure the degree of tossing and turning of a specific person, making it unreliable.

Reference 1: Registered Patent No. 10-2377703

The present invention was developed to solve the above-mentioned problems, and the purpose of the present invention is to provide a method for measuring tossing and turning during sleep that can increase the reliability of the measurement when determining whether tossing and turning occurs when movement occurs during sleep.

In addition, another object of the present invention is to automatically measure the user's tossing and turning when a user of a portable device such as a smartphone places his or her portable device on the mattress of the bed and sleeps without installing or wearing a separate device. It provides a method of measuring tossing and turning during sleep.

In order to solve this technical problem, the present invention;

A first step of recording motion data measured through a motion sensor that detects the movement of the mattress on which the user sleeps in memory at a set time period; A second step of calculating the magnitude value of the motion data recorded in the set time period; A third step of calculating a variance value in units of set time intervals using the magnitude value of the motion data; A fourth step of arranging the variance values calculated in units of the set time interval according to time; and a fifth step of calculating the number of tossings and turns by calculating the total number of variance values greater than a reference value among the variance values.

At this time, in the first step, the motion data measured by the motion sensor is x, y, z motion data, and the x, y, z motion data is recorded in memory at a set time period of 1 second; The third step is characterized in that the variance value is obtained in units of a set time interval of 10 seconds using the magnitude values of the x, y, and z motion data.

And, the first step is characterized by deleting the very early and very late data of the motion data.

In addition, in the fourth step, the reference value is a value obtained by multiplying the average value of all magnitude data by the alpha value of the standard deviation.

In addition, the fourth step is characterized in that the number and timing of tossing and turning calculated by calculating the total number of variance values greater than the reference value among the variance values are recorded in the memory.

In addition, after the third step and before the fourth step, a fifth step of arranging the variance values calculated in units of the set time interval according to time may be further included.

Additionally, the motion sensor is characterized as being mounted on a smartphone, a portable device carried by the user.

According to the present invention, when movement occurs while the user is sleeping on a mattress such as a bed, motion data is recorded at a set time period and the number of tosses and turns is calculated using the magnitude and variance values of the motion data. As a result, the reliability of determining whether tossing and turning occurs as well as the number of times is high. Accordingly, the reliability of calculating the number and timing of tossing and turning during sleep is high, so collecting information on tossing and turning can be fully utilized as data on sleep disorders.

In addition, according to the present invention, the user's tossing and turning can be comfortably measured by simply placing a portable device such as the user's smartphone on the mattress of the bed without installing or wearing a separate device on the mattress of the bed. .

Figure 1 is a diagram showing the configuration of a smartphone for measuring tossing and turning during sleep according to the present invention.
Figure 2 is a flowchart of measuring tossing and turning during sleep according to the present invention.
Figures 3 to 5 are diagrams showing graphs arranging variance values according to time and images taken when tossing and turning occurred through an experiment measuring tossing and turning during sleep according to the present invention.

Hereinafter, the features of the method for measuring tossing and turning during sleep according to the present invention will be described in detail with reference to the accompanying drawings.

Prior to this, the terms or words used in this specification and claims should not be construed as limited to their usual or dictionary meanings, and the inventor should appropriately define the concept of terms in order to explain his or her invention in the best way. It must be interpreted as meaning and concept consistent with the technical idea of the present invention based on the principle of definability.

Therefore, the embodiments described in this specification and the configurations shown in the drawings are only one of the most preferred embodiments of the present invention, and do not represent the entire technical idea of the present invention, so at the time of filing this application, they can be replaced by various It should be understood that equivalents and variations may exist.

Referring to Figure 1, tossing and turning during sleep according to the present invention can be measured using a smartphone 100, a portable device carried by the user.

This smartphone 100 is equipped with a motion sensor 110 that can detect movement and measure motion data. The motion data of the motion sensor 110 is collected and recorded in the memory 120, and the memory ( 120), the motion data stored in the device is analyzed to calculate the number and time of tossing and turning.

For this purpose, the smartphone 100 includes a motion sensor 110 capable of measuring movement, a memory 120 that records motion data measured by the motion sensor 110, and the number of tossing and turning by analyzing the motion data. It includes an arithmetic processing unit 130 that calculates the starting point, and a display unit 140 that displays tossing and turning information regarding the number of tossing and turning times calculated through the arithmetic processing unit 130.

Of course, the tossing and turning measurement app 101 for measuring tossing and turning is downloaded, stored and installed in the memory 120 of the smartphone 100 through data input/output or communication with an external device. When driven, the motion sensor 110 operates to record motion data and then analyzes it to calculate the number and timing of tossing and turning.

In order to measure the user's tossing and turning during sleep, the user places the smartphone 100 on a mattress 1 such as a bed while running the tossing and turning app 101 on the smartphone 100 and sleeps. Calculate the number and timing of tossing and turning.

In this case, the tossing and turning measurement app 101 can set the time through the input unit 150 of the smartphone. For example, the time can be set by specifying a specific time or setting a measurement time range. Although the input unit 150 and the display unit 140 are described separately for convenience, they are generally formed as a single touch screen, and any differences in this degree fall within the scope of the present invention.

On the other hand, if the user moves while sleeping on the mattress 1 with the tossing and turning measurement app 101 running, the mattress 1 shakes and the movement of the mattress 1 is transmitted to the smartphone. It is transmitted to (100) and the user's movement can be detected by measuring the motion data from the motion sensor 110, and the number and timing of the tossing and turning are calculated by analyzing whether the movement is the user's tossing and turning.

This tossing and turning measurement method of the present invention is a portable device and can be applied to various portable terminals such as tablet PCs and smartwatches equipped with a motion sensor 110 in addition to the smartphone 100.

Therefore, the scope of the present invention is not limited to smartphones, and various devices can be used as long as they can measure and record motion data.

Hereinafter, the process of measuring tossing and turning during sleep according to the present invention will be described in detail with reference to Figure 2.

When a user sleeps, the user's movements can be measured by placing the smartphone 100, which is a mobile phone device, on the mattress 1 installed on the bed. In particular, the present invention can accurately determine the number and timing of tossing and turning through the movement of the mattress (1) by looking at the entire sleep.

In other words, the user can measure tossing and turning during sleep at a high level just with his or her smartphone 100.

First, while the user is sleeping on the mattress (1) while running the tossing and turning measurement app (101), if the user moves, the mattress (1) shakes, and such movement of the mattress (1) is transmitted to the smartphone (100). ) is passed to (S1).

The motion sensor 110 of the smartphone 100 measures motion data according to the movement of the mattress 1. (S2) The motion sensor 110 is usually not a single sensor but a combination of several sensors. It is used to measure movement or position, such as a geomagnetic sensor, acceleration sensor, or barometer. The motion data of the motion sensor 110 is x, y, z motion data.

The operation processing unit 130 records x, y, z motion data measured from the motion sensor 110 in the memory 120 at a set time period (for example, 1 second). As an example, x, y, z motion data recorded in the memory 120 are as shown in Table 1 in Example 1 below.

[Example 1]

The operation processing unit 130 performs the step (S2) and deletes the very beginning and the very last data from the recorded x, y, z motion data. (S3) This means that the smartphone 100 is placed on the mattress (1) before sleep. ) This is to determine that it is not related to actual tossing and turning, considering that the smartphone (100) is used on top of the device and turned off when waking up after sleep.

Then, the operation processing unit 130 performs step S3 to delete the very early and very late data, and then x, y recorded in the memory 120 at a set time period (for example, in units of 1 second) , z The magnitude of the motion data is calculated according to the following equation 1. (S4)

--------------- (Formula 1)

Magnitude data of x, y, z motion data calculated according to Equation 1 above is shown in Table 2 in Example 2 below.

[Example 2]

And, the operation processing unit 130 uses the magnitude data of the x, y, z motion data calculated at the set time period (for example, in units of 1 second) through step S4 to calculate the set time period (e.g. For example, the variance value is calculated in units of 10 second intervals. (S5) This variance value is data that most directly shows how the size of the motion changed during the set time interval of 10 seconds, for example. The variance value is calculated according to Equation 2 below.

--------------- (Formula 2)

Here, N is the number of magnitude data, x _i is the magnitude value, and u is the average value of the magnitude data.

Next, the calculation processing unit 130 arranges the variance values calculated in units of set time intervals (for example, 10 second intervals) according to time through step S5, as shown in Example 3 below. Same. (S6)

[Example 3]

Next, the calculation processing unit 130 calculates a reference value to find the actual number of tossing and turning (S7). The reference value is equal to the average value of all data (magnitude data) multiplied by the alpha value of the standard deviation. Here, the alpha value can be applied differently depending on the type of data, and the value stored in the memory 120 can be used.

Then, the calculation processing unit 130 compares the variance values calculated in step S6 with the reference value calculated in step S7, and determines a variance value greater (or 'higher') than the reference value. Calculate the total number of them (S8).

In other words, if a variance value that is greater (or 'higher') than the standard value occurs, it is determined that tossing and turning has occurred. Accordingly, the number of tossing and turning can be calculated by checking the total number of variance values that are greater than the standard value. there is.

At this time, the calculation processing unit 130 analyzes the variance values, determines that the variance is higher than the reference value as tossing and turning, calculates the number and timing of the tossing and turns, and records them in the memory 120.

In addition, the tossing and turning information regarding the number and timing of tossing and turning calculated through the calculation processing unit 130 can be recorded in the memory 120 and displayed on the display unit 140 according to the setting environment or user's operation.

Below, an example of an experiment measuring tossing and turning during sleep using the present invention will be described with reference to FIGS. 3 to 5.

The experimental method measures tossing and turning data in real time using the iPhone 10 At this time, motion data of x, y, and z is recorded every second. At the same time, video recording is conducted to visually confirm tossing and turning during sleep. Check whether the time period and number of tossing and turning derived through the algorithm according to the present invention match the actual tossing and turning. A total of 3 experiments lasting 1 hour and 30 minutes were conducted.

<Experiment 1>

Tossing and turning using a mobile phone device was recorded a total of 5 times with an alpha value = 0.3. A graph arranging the variance values in relation to time and a video taken when tossing and turning are shown in Figure 3.

<Experiment 2>

Tossing and turning using a mobile phone device was recorded a total of 4 times with an alpha value = 0.5. A graph arranging the variance values in relation to time and a video taken when tossing and turning are shown in Figure 4.

<Experiment 3>

Tossing and turning using a mobile phone device was recorded a total of 13 times with an alpha value = 0.4. A graph arranging the variance values in relation to time and a video taken when tossing and turning are shown in Figure 5.

Through the above experiments 1 to 3, it was confirmed that the occurrence time and number of tossing and turning derived through the algorithm according to the present invention matched the actual tossing and turning through the experiment measuring tossing and turning during sleep according to the present invention.

The above description is merely an illustrative explanation of the technical idea of the present invention, and various modifications and variations can be made by those skilled in the art in the technical field to which the present invention pertains without departing from the essential characteristics of the present invention. The scope of protection shall be interpreted in accordance with the claims below, and all technical ideas within the equivalent scope shall be construed as being included in the scope of rights of the present invention.

1: Mattress 100: Smartphone
101: Tossing and turning measurement app 110: Motion sensor
120: Memory 130: Operation processing unit
140: display unit 150: input unit

Claims (7)

A first step of recording motion data measured through a motion sensor that detects the movement of the mattress on which the user sleeps in memory at a set time period;
A second step of calculating the magnitude value of the motion data recorded in the set time period using Equation 1 below;
A third step of calculating a variance value in units of set time intervals using the magnitude value of the motion data; and
A fourth step of calculating the number of tossing and turning by calculating the total number of variance values greater than a reference value among the variance values,
In the fourth step, the reference value is a value obtained by multiplying the average value of all magnitude data by the alpha value of the standard deviation.

--------------- (Formula 1)
(Variables x,y,z are x,y,z motion data measured by the motion sensor.)
According to clause 1,
In the first step, the motion data measured by the motion sensor is x, y, z motion data, and the x, y, z motion data is recorded in memory at a set time period of 1 second,
The third step is a method of measuring tossing and turning during sleep, characterized in that the variance value is obtained in units of a set time interval of 10 seconds using the magnitude values of the x, y, z motion data.
According to clause 1,
A method of measuring tossing and turning during sleep, characterized in that in the first step, the very early and very late data of the motion data are deleted.
delete According to clause 1,
The fourth step is a step of recording in memory the number and timing of tossing and turning calculated by calculating the total number of variance values greater than the reference value among the variance values.
According to clause 1,
A method for measuring tossing and turning during sleep, characterized in that it further comprises a fifth step of arranging the variance values calculated in the set time interval according to time after the third step and before the fourth step.
According to clause 1,
A method of measuring tossing and turning during sleep, characterized in that the motion sensor is mounted on a smartphone, a portable device carried by the user.