KR102021701B1 - Sleep behavior disorder monitoring device - Google Patents

Abstract

According to one embodiment of the present invention, a device for monitoring sleep behavior disorder may comprise: a mattress; a pressure sensor disposed on the mattress and generating sensing data for movement of a user positioned on the mattress; a control unit determining sleep behavior disorder through the sensing data generated by the pressure sensor; and database receiving the sensing data from the control unit and storing the sensing data. The control unit may analyze the sensing data, determine a REM sleep state and a non-REM sleep state of the user according to a frequency of the movement of the user or degree of the movement, and determine the sleep behavior disorder of the user according to duration of the REM sleep state and the non-REM sleep state.

Description

Sleep behavior disorder monitoring device {SLEEP BEHAVIOR DISORDER MONITORING DEVICE}

Sleep behavior disorder monitoring device is disclosed. In detail, a sleep behavior disorder monitoring apparatus for detecting a sleep behavior disorder in advance by measuring a REM sleep state of a user and preventing an expression of the sleep behavior disorder is disclosed.

When a person enters a sleep state, the person enters a non-reactive sleep state (NREM) or a rapid eye movement (REM) sleep state. Non-REM sleep state means deep sleep, and REM sleep state means shallow sleep. In REM sleep, eye movements move more intensely than in the awake state, and physiological function is significantly lower than in the awake state.

Normal REM sleep and non-REM sleep are repeated every 90 minutes, and once you sleep, repeat four to six times. REM sleep accounts for 20-25% of total sleep time, and non-REM sleep accounts for 75-80%.

When you are tired, the proportion of REM sleep is relatively reduced, the proportion of non-REM sleep is relatively high, and when you rest enough, the proportion of REM sleep is increased, and the proportion of non-REM sleep is reduced.

REM Sleep Behavior Disorder is a disease in which dreams turn into action due to incomplete ataxia (blocking the movement of muscles) that normally occurs in REM sleep.

Many inventions for reducing the risk of sleep are being developed, and the invention for determining a sleep disorder through sleep pattern detection is disclosed in Korean Patent Registration No. 1132828, "Sleep Disorder Notification System Using Sleep Pattern Detection Device." It is.

An object according to an embodiment is to provide a sleep behavior disorder monitoring device that can collect data for determining a sleep behavior disorder by monitoring the sleep pattern.

Another object according to an embodiment is to provide a sleep behavior disorder monitoring device that can prevent the expression of the sleep behavior disorder by predicting the expression of the sleep behavior disorder in advance before the expression of the sleep behavior disorder.

Another object according to an embodiment is to provide a sleep behavior disorder monitoring apparatus capable of monitoring a sleep pattern without a sensing device restraining a user or touching the user's body.

Another object according to an embodiment is to provide a sleep behavior disorder monitoring device that can awaken a user quickly upon the onset of sleep behavior disorder.

Another object according to an embodiment is to provide a sleep behavior disorder monitoring apparatus for improving the accuracy of the sleep behavior disorder determination.

Sleep behavior disorder monitoring device according to an embodiment for achieving the above object is disposed on the mat, the mat, the pressure sensor for generating the sensing data for the user's movement located on the mat, generated by the pressure sensor And a controller for determining a sleep behavior disorder through the sensed data, and a database configured to receive and store the sensed data from the controller, wherein the controller analyzes the sensed data and measures the frequency or degree of movement of the user. Accordingly, the REM sleep state and the non-REM sleep state of the user may be determined, and the sleep behavior disorder of the user may be determined according to the duration of the REM sleep state and the non-REM sleep state.

The control unit of the sleep behavior disorder monitoring apparatus according to an embodiment may process the sensed data into time series data, and separate and accumulate the processed time series data into a plurality of pattern data. Can be stored in the database.

In addition, the control unit of the sleep behavior disorder monitoring apparatus according to an embodiment may generate a reference value by processing the plurality of the pattern data accumulated in the database, the control unit is newly created by the reference value and the pressure sensor Sleep detection disorders can be determined by comparing the sensed data measured.

In addition, the control unit of the sleep behavior disorder monitoring apparatus according to an embodiment may classify the plurality of the pattern data according to the time the user entered the sleep, the pattern data of another date according to the sleep inrush time Accumulation and processing can generate reference values.

In addition, the control unit of the sleep behavior disorder monitoring apparatus according to an embodiment compares the holding time of the RAM sleep state of the user and the reference value of the newly detected by the pressure sensor to maintain the sleep state of the RAM sleep state When the reference value is exceeded, the sleep behavior disorder of the user may be determined.

In addition, the pressure sensor of the sleep behavior disorder monitoring apparatus according to an embodiment may detect the degree of movement of the user to generate movement data, the database may store the movement data cumulatively, the control unit is By generating a motion reference value based on the motion data, a sleep behavior disorder of the user may be determined by comparing the motion reference value detected by the pressure sensor with the motion reference value.

In addition, the mat of the sleep behavior disorder monitoring apparatus according to an embodiment may further include a warning unit for providing a user notification through the sound or vibration, wherein the warning unit receives a determination of sleep behavior disorder by the control unit Can be activated.

In addition, the controller of the sleep behavior disorder monitoring apparatus according to an embodiment may generate sleep habit information according to the time series data or the plurality of pattern data.

In addition, the sleep behavior disorder monitoring apparatus according to an embodiment may further include an eye movement sensor for detecting the eye movement of the user, the control unit according to the frequency of movement of the eye the REM sleep state and the non-REM sleep of the user The state can be determined.

In addition, the pressure sensor of the sleep behavior disorder monitoring apparatus according to an embodiment is arranged in a net form at a plurality of points on the mat, it is possible to extend the measuring range of the user's movement, at each of the plurality of points on the mat By measuring the added pressure or vibration, the user's position or pressure distribution can be detected.

The sleep behavior disorder monitoring apparatus according to an embodiment may provide a sleep behavior disorder monitoring apparatus that may collect data for determining a sleep behavior disorder by monitoring a sleep pattern.

In addition, according to the sleep behavior disorder monitoring apparatus according to an embodiment, the sleep behavior disorder monitoring apparatus that can prevent the expression of the sleep behavior disorder by predicting the expression of the sleep behavior disorder before the expression of the sleep behavior disorder can be provided. .

In addition, the sleep behavior disorder monitoring apparatus according to an embodiment may provide a sleep behavior disorder monitoring apparatus capable of monitoring a sleep pattern without a sensing device restraining the user or touching the user's body.

In addition, according to the sleep behavior disorder monitoring apparatus according to an embodiment, a sleep behavior disorder monitoring apparatus for improving the accuracy of the sleep behavior disorder determination can be provided.

1 is a perspective view of a sleep behavior disorder monitoring apparatus and a state in which a user lies on a mat of a sleep behavior disorder monitoring apparatus according to an embodiment.
2 illustrates a state in which a pressure sensor is disposed on a mat of the sleep behavior disorder monitoring apparatus according to an embodiment.
3 illustrates a sleep pattern collected by a sleep behavior disorder monitoring apparatus according to an embodiment.
4 is a block diagram illustrating a method of generating a reference value of an apparatus for monitoring sleep behavior disorder according to an embodiment.
5 is a diagram illustrating a method of generating a reference value of an apparatus for monitoring sleep behavior disorder according to an embodiment.
6 is a block diagram illustrating a method for determining sleep behavior disorder of an apparatus for monitoring sleep behavior disorder according to an embodiment.
7 is a block diagram illustrating a method of double checking and determining a sleep behavior disorder of an apparatus for monitoring sleep behavior disorder according to an embodiment.

Hereinafter, the embodiments will be described in detail with reference to the accompanying drawings. In adding reference numerals to the components of each drawing, it should be noted that the same reference numerals are assigned to the same components as much as possible even though they are shown in different drawings. In addition, in describing the embodiment, when it is determined that the detailed description of the related well-known configuration or function interferes with the understanding of the embodiment, the detailed description thereof will be omitted.

In addition, in describing the components of the embodiment, terms such as first, second, A, B, (a), and (b) may be used. These terms are only for distinguishing the components from other components, and the nature, order or order of the components are not limited by the terms. If a component is described as being "connected", "coupled" or "connected" to another component, that component may be directly connected or connected to that other component, but between components It will be understood that may be "connected", "coupled" or "connected".

Components included in any one embodiment and components including common functions will be described using the same names in other embodiments. Unless stated to the contrary, the description in any one embodiment may be applied to other embodiments, and detailed descriptions thereof will be omitted in the overlapping range.

1 illustrates a perspective view of a sleep behavior disorder monitoring apparatus 100 and a state in which a user lies on a mat 110 of a sleep behavior disorder monitoring apparatus 100 according to an embodiment, and FIG. The pressure sensor 120 is disposed on the mat 110 of the sleep behavior disorder monitoring apparatus 100 according to the present invention.

1 and 2, the sleep behavior disorder monitoring apparatus 100 according to an embodiment may include a mat 110, a pressure sensor 120, a controller, a database, and a warning unit.

The mat 110 is a means capable of supporting the user's body, and may be, for example, a bed or a mattress disposed on the bed. Or, for example, it may be a yaw where the user is located.

The pressure sensor 120 is disposed on the mat, and detects the user's movement located on the mat 110 to generate user motion detection data. The pressure sensor 120 may be disposed on the mat 110 in a wide net shape to measure a moving radius and a degree of movement of the user, and measure the frequency of movement by detecting vibration generated by the user's movement. have.

The warning unit may wake up the user in the sleeping state by providing a user notification through sound or vibration according to the movement of the user sensed by the pressure sensor 120. For example, the warning portion may be a speaker.

The controller may receive and process the pressure sensing data generated by the pressure sensor 120, and the database may continuously store the processed sensing data.

The control unit may determine the REM sleep state and the non-REM sleep state by analyzing the sensed data accumulated and stored in the database, and the occurrence or prognostic symptoms of sleep behavior disorder according to the duration of the REM sleep state and the non-REM sleep state. Can be determined.

Alternatively, the pressure sensor 120 may detect movement information of the user during sleep and generate movement data.

The controller may store the user's motion data accumulated in the database, and the controller may generate a reference value based on the stored motion data.

For example, the pressure sensor 120 may continuously detect movement information such as a user's movement amount, movement degree, movement pattern, and the like, and the controller may accumulate it in a database, and the controller may store the movement information accumulated in the database. You can generate the reference value as an average.

By comparing the motion data with the reference value, if the reference value and the motion data differ by more than a predetermined level, the controller may determine that the user is in a sleep behavior disorder state. If the user's sleep behavior disorder is determined, the warning unit may awaken the user by outputting sound or vibration.

Sleep behavior disorder monitoring device 100 according to an embodiment may further include an output.

The output unit may visually or audibly output the user's sleep pattern, pattern data, time series data, and the like stored in the user's database. The controller may generate sleep habit data using a user's sleep pattern, pattern data, time series data, and the like, and the sleep habit data may be output through the output unit.

Alternatively, sleep habit data may be stored in a database.

Sleep behavior disorder monitoring device 100 according to an embodiment may further include an eye movement sensor for detecting the eye movement of the user.

The controller may determine the REM sleep state and the non-REM sleep state of the user according to the movement frequency of the eyeball collected by the eyeball movement sensor.

For example, the controller may accumulate and store eye movement data collected by the eye movement sensor in a database, and compare the stored eye movement data with newly collected eye movement data to speed up the newly acquired eye movement data. When is higher than the stored eye movement data may determine the user's state as the REM sleep state.

Hereinafter, a method of using the sleep behavior disorder monitoring apparatus 100 according to an embodiment will be described in detail with reference to FIGS. 3 to 7.

3 illustrates a sleep pattern collected by the sleep behavior disorder monitoring apparatus 100 according to an embodiment, and FIG. 4 is a block diagram illustrating a method of generating a reference value of the sleep behavior disorder monitoring apparatus 100 according to an embodiment. 5 is a diagram illustrating a method of generating a reference value of the sleep behavior disorder monitoring apparatus 100 according to an embodiment.

Referring to FIG. 3, the sleep cycle of the user may occur by crossing REM sleep and non-REM sleep. 3 is time series data of REM sleep and non-REM sleep collected by the above-mentioned sensors.

Referring to FIG. 4, the pressure sensor 120 may accumulate sensed data by a user's movement to generate the above-mentioned reference value. The pressure sensor 120 may detect the movement of the user when the user takes a sleep on the mat 110 (4001). The controller may generate time series data by merging the collected sensing data and the time information on which the sensing data is sensed. The generated time series data may be stored in a database (4004), and may be separated by a controller and processed into pattern data (4005). The separated pattern data may be classified to be combined with similar pattern data, respectively (4006), and the respective pattern data may be accumulated (4007) to form a reference value (4008).

In detail, the controller may match the sensing data 4001 and 4002 generated by the pressure sensor 120 with time information and store the data 4003 and 4004 in a time series data format in a database. The controller may separate the stored time series data according to a pattern (4005), and accumulate (4007) data 4006 of different dates to form a reference value (4008). The controller may compare the reference value with newly collected sensing data, that is, compare the sleep pattern data of the reference value and the detected sleep pattern data to determine the manifestation of sleep behavior disorder or a precursor of expression.

For example, referring to FIG. 5, after the user's sleep starts, the controller receives the sensed data generated by the pressure sensor 120 and merges the time data to generate time series data. The time series data may be stored in a database, and the sleep pattern in which the REM sleep and the non-REM sleep are continuous may be separated and stored as one pattern data by the controller.

That is, one REM sleep duration and one non-REM sleep duration data may be generated in one pattern data, and the first pattern data in which intersection of REM sleep and non-REM sleep, which occurs first during sleep, occurs. The second pattern data in which the second REM sleep and the non-REM sleep intersect during sleep may be stored as the second pattern data, and similarly, the third pattern data and the fourth pattern data may be stored.

The first pattern data, the second pattern data, and the like may be stored in a database according to a date, and may accumulate to form a reference value of the first pattern data and a reference value of the second pattern data.

For example, the first pattern data of January 4, which is newly sensed by the pressure sensor 120 and processed by the controller, includes the first pattern data of January 1 and the first pattern data of January 2. And average first pattern data generated by the plurality of first pattern data, such as the first pattern data of January 3,.

In addition, the second pattern data of January 4, which is newly sensed by the pressure sensor 120 and processed by the controller, includes the second pattern data of January 1 and the second pattern data of January 2, 1 The second pattern data may be compared with the average second pattern data generated by the plurality of second pattern data, such as the second pattern data of the month 3.

Similarly, the accumulated average third pattern data and average fourth pattern data may be compared with the third and fourth pattern data newly detected and processed.

The controller may detect an expression of sleep behavior disorder or an expression precursor of sleep behavior disorder by comparing existing reference values with newly collected pattern data. Specifically, if the length of the REM sleep sensed by the pressure sensor is longer than a reference value by a predetermined level or more, the controller may determine a sleep behavior disorder of the user. If the user's sleep behavior disorder is determined, the warning unit may awaken the user by outputting sound or vibration.

6 is a block diagram illustrating a sleep behavior disorder determination method of the sleep behavior disorder monitoring apparatus 100 according to an embodiment, and FIG. 7 illustrates a sleep behavior disorder of the sleep behavior disorder monitoring apparatus 100 according to an embodiment. It is a block diagram showing a method of double checking and determining.

Referring to FIG. 6, the pressure sensor 120 may detect a user's movement (6001) and generate sensing data through the detected user's information (6002). The controller may generate time series data by merging the generated sensing data and time information (6003), and the generated time series data may be stored in a database (6004). The stored time series data may be processed into a plurality of pattern data by the controller (6005), and the separated pattern data may be classified according to each time sequence (6006). The classified pattern data may be compared with a preconfigured reference value (6007), and as a result, the controller may determine the user's sleep behavior disorder (6008). If the sleep behavior disorder is determined, the warning unit may output a warning to awaken the user (6009).

Referring to FIG. 7, the pressure sensor 120 may detect a movement of a user (7001). When the user's movement is detected, the pressure sensor 120 may generate detection data according to the user's movement (7002), and the control unit generates time series data 7003 by merging the generated sensing data with time information. Can be stored at (7004). In addition, the controller may separate the generated time series data into a predetermined pattern (7005), and the separated pattern data may be classified according to the time order of each pattern data (7006). The classified pattern data may be compared with a reference value preset by the controller, and the sleep behavior disorder of the user may be determined through comparison (7008).

If the user is not suspected of sleep behavior disorder or sleep behavior disorder, the pressure sensor 120 detects the user's movement again (7001), if the user receives a suspected sleep behavior disorder or sleep behavior disorder suspected, pressure sensor 120 By detecting the degree of movement of the user (7009), the control unit can compare the user's motion reference value and determine the user's state again (7010).

That is, the controller may determine whether the user has a sleep behavior disorder by checking both the sensed data and the motion data.

Finally, when the user's state is determined to be a sleep behavior disorder state, the warning unit may output a warning (7011), and when the user's state is determined to be normal, the pressure sensor 120 may detect the user's movement state again.

Accordingly, the sleep behavior disorder monitoring apparatus according to an embodiment may collect data for determining a sleep behavior disorder by monitoring a sleep pattern, and predicting the sleep behavior disorder in advance before the onset of sleep behavior disorder It is possible to prevent the onset of the disorder, to monitor the sleep pattern without the detection device to restrain the user or contact the user's body, and improve the accuracy of the sleep behavior disorder determination.

Method according to the embodiment is implemented in the form of program instructions that can be executed by various computer means may be recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on the media may be those specially designed and constructed for the purposes of the present disclosure, or they may be of the kind well-known and available to those having ordinary skill in the computer software arts. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tape, optical media such as CD-ROMs, DVDs, and magnetic disks, such as floppy disks. Magneto-optical media, and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, the embodiments of the present invention have been described by specific embodiments, such as specific components, and limited embodiments and drawings, but these are provided only to help a more general understanding of the present invention, and the present invention is limited to the above embodiments. Various modifications and variations can be made by those skilled in the art to which the present invention pertains. For example, the described techniques may be performed in a different order than the described method, and / or components of the described structure, apparatus, etc. may be combined or combined in a different form than the described method, or may be combined with other components or equivalents. Appropriate results can be achieved even if they are replaced or substituted. Therefore, the spirit of the present invention should not be limited to the described embodiments, and all of the equivalents and equivalents of the claims, as well as the following claims, will fall within the scope of the present invention. .

100: sleep behavior disorder monitoring device
110: matte
120: pressure sensor

Claims (10)

mat;
A pressure sensor disposed on the mat, the pressure sensor generating sensory data on user movement located on the mat;
A controller for determining a sleep behavior disorder based on the sensed data generated by the pressure sensor; And
A database for receiving and storing the sensed data from the controller;
The controller analyzes the sensed data and determines the REM sleep state and the non-REM sleep state of the user according to the frequency or degree of movement of the user, and the sleep behavior disorder of the user according to the duration of the REM sleep state and the non-REM sleep state. To determine,
The control unit processes the sensed data into time series data, separates and accumulates the processed time series data into a plurality of pattern data,
A plurality of the pattern data is stored in the database,
The controller generates a reference value by processing the plurality of pattern data accumulated in the database,
The control unit compares the detection data newly measured by the reference value with the pressure sensor to determine a sleep behavior disorder,
The controller compares the holding time of the REM sleep state of the user with the reference value among the sensing data newly measured by the pressure sensor, and when the holding time of the REM sleep state exceeds the reference value, sleep behavior disorder of the user. Sleep behavior disorder monitoring device for determining.
delete delete delete delete The method of claim 1,
If the controller determines that the user is in a sleep behavior disorder state through the sensed data, the pressure sensor detects the degree of movement of the user to generate movement data,
The database stores the movement data cumulatively,
The control unit generates a movement reference value based on the movement data, and compares the movement degree detected by the pressure sensor with the movement reference value to determine a sleep behavior disorder of the user, sleep behavior disorder monitoring apparatus.
The method of claim 1,
A warning unit that provides a user notification via sound or vibration,
The warning unit is operated when the user receives a sleep behavior disorder determination by the control unit, sleep behavior disorder monitoring device.
The method of claim 1,
The control unit generates sleep behavior information according to the time series data or the plurality of the pattern data, sleep behavior disorder monitoring device.
The method of claim 1,
Further comprising an eye movement sensor for detecting the eye movement of the user,
The controller determines the REM sleep state and the non-REM sleep state of the user according to the frequency of movement of the eyeball.
The method of claim 1,
The pressure sensor is arranged in a net form at a plurality of points on the mat, to extend the measuring range of the user movement,
Sleeping disorder monitoring device for detecting the position or pressure distribution of the user by measuring the pressure or vibration added to each of the plurality of points on the mat.

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