KR101728871B1 - Deep sleep guide pillow based on IoT - Google Patents

Abstract

An IoT based sleep induction pillow is disclosed. A sleeping-inducing pillow according to an embodiment of the present invention includes a pulse wave measuring device for measuring a pulse wave, a microphone sensor for snoring frequency and decibel monitoring, and a pressure sensor for detecting a user's head position part; A controller for adjusting the angle of the user's head by adjusting an air inflow amount individually according to an operation control signal for a plurality of air packs arranged so that a space where the user's head is placed is provided; And a control unit for receiving a signal output from the measurement unit and determining a sleep state of the user to determine whether or not there is a sleeping disorder and outputting the operation control signal for optimizing the sleep of the user according to the determination result .

Description

[0001] The present invention relates to a sleeping guide pillow based on IoT,

The present invention relates to an IoT based sleep induction pillow.

Recently, people with sleep disorders have been rapidly increasing due to a lot of activity and stress. These sleep disturbances reduce concentration, thinking, and memory, cause learning disabilities, increase heart, lung, and gastrointestinal disorders, slow growth, fatigue accumulation and risk of traffic accidents and accidents Which is the cause of the increase. In addition, it decreases blood glucose control, increases stress hormone such as cortisol, and accompanies various physical side effects such as sympathetic hyperactivity. When it becomes chronic, resistance to insulin increases, and it causes obesity and hypertension.

The main cause of sleep disturbance is sleep apnea with snoring. In this case, it decreases the blood flow to the brain, which decreases the memory, exercise ability, attention and also increases the brain related diseases. Especially, sleep apnea Severe snoring is a risk factor for stroke by reducing blood volume to the brain and increasing blood pressure.

Sleep-optimized pillow devices are being developed to overcome these sleeping barriers. Korean Utility Model Registration No. 20-0241986 discloses a vibration pillow capable of controlling the height and the alarm. However, they can provide a simple therapy through manual operation or a timer operation without judging the sleep situation, or provide a deformation of the pillow In some cases, it is not precise and interferes with sleeping.

Korean Registered Utility Model No. 20-0241986

The present invention relates to an IoT-based sleeping device capable of detecting a sleeping motion by detecting the flow of a carotid artery to monitor the quality of the sleeping surface and actively adjusting the shape of the pillow to prevent snoring and provide an optimal sleeping environment, So as to provide an induction pillow.

The present invention relates to a method for detecting a sleeping obstacle such as sleep apnea, snoring, sleeping anxiety and sleeping posture instability in a person's sleeping state and providing a comfortable sleeping posture corresponding to the sleeping state, So as to provide an IoT-based sleeping-inducing pillow.

Other objects of the present invention will become readily apparent from the following description.

According to an aspect of the present invention, there is provided a blood pressure monitor comprising: a measurement unit including a pulse wave measurer for measuring pulse waves; a microphone sensor for snoring frequency and decibel monitoring; and a pressure sensor for detecting a head position of the user; A controller for adjusting the angle of the user's head by adjusting an air inflow amount individually according to an operation control signal for a plurality of air packs arranged so that a space where the user's head is placed is provided; And a control unit for receiving a signal output from the measuring unit to determine a sleep state of the user and determining whether the user has a sleeping disorder and outputting the operation control signal for optimizing the sleep of the user according to a determination result, A pillow is provided.

The treatment section includes three lower air packs positioned at the lower end and two upper air packs positioned at both sides of the upper end, wherein the lower air pack positioned at the center portion is provided with the pulse wave measuring device for measuring the pulse wave from the carotid artery leading to the head of the user , The microphone sensor may be installed on the two upper air packs, and the pressure sensor may be installed on the two lower air packs located at the edge.

Wherein the pulse wave measuring device is disposed at a cervical portion leading to a head of the user and the microphone sensor is disposed at a lower end of a portion where the nose of the user is placed and the pressure sensor is disposed at a cervical portion leading to the user's mouth .

Wherein the pulse wave measuring device is a conductive phonograph and senses the amplitude and frequency of the flow sound of the blood flow of the user's carotid artery using the conductive phonograph, Estimating a predicted amplitude and frequency based on the sensed flow sound and comparing it with the amplitude and frequency of the sensed flow sound to detect a repetitive waveform and removing the noise through a filter and acquiring a pulsatile peak value from the repetitive waveform, And the respiratory rate per minute can be calculated by accumulating the number of respirations over time.

The control unit

, Respiratory disturbance index (RDI) is the respiratory disturbance index, respiratory-effort related arousals (RERAs) are the number of awakenings due to poor breathing during sleep, Hypopneas is respiratory depression, Apneas Sleep apnea and respiratory depression are estimated to be normal, measured during the first predetermined period of time in the elevation phase, and TST is the total sleep time, and RERAs are estimated through a rapid increase in pulse, The average number of breaths and the number of breaths during snoring can be estimated.

The control unit comprehensively determines signals from the pulse wave measuring device, the microphone sensor, and the pressure sensor, and calculates a target sleeping posture according to the degree of sleep apnea and snoring, and when the target sleeping posture is calculated, The target air quantity for each air pack is adjusted, the amount of air introduced into each air pack is adjusted to reach the set target air quantity, and after a predetermined time has elapsed, re-sensing is performed through the measurement unit, and sleep apnea and snoring If the sleep state of the user is determined to be optimized, storing the optimal control parameter, and if the sleep state of the user is determined to be optimal, Will be optimized for immediate feedback when snoring or sleep apnea begins. It may provide.

Other aspects, features, and advantages will become apparent from the following drawings, claims, and detailed description of the invention.

According to the embodiment of the present invention, the quality of the sleep surface is detected by detecting the flow of the carotid artery to detect the sleeping disorder, actively adjusting the shape of the pillow to prevent snoring and provide an optimal sleeping environment to provide a sleeping therapy There is an effect that can be.

In addition, in order to provide optimal sleeping posture in detecting the sleeping obstacles such as sleep apnea, snoring, sleeping anxiety environment and sleeping posture instability in the sleep state of a person, the active appearance change of the pillow induces a comfortable sleeping There is an effect to be able to do.

It is possible to judge various sleep situations by measuring the pulse, snoring noise, ambient temperature, ambient humidity, and attitude of the head when sleeping in a person's sleep state. Thus, depending on the detected sleep situation, It is possible to achieve a comfortable sleeping by allowing the customized therapies to be performed in real time in accordance with the detection, and it is possible to perform steady optimum sleep management by continuously storing, analyzing and managing such data.

In addition, by transmitting data to a PC or a smart phone and storing the data, it can be used as auxiliary data for a hospital diagnosis.

1 is a schematic view of an IoT-based sleep induction pillow system according to an embodiment of the present invention,
2 is a view showing a measuring part, a processing part and a control part of the sleeping-inducing pillow,
3 is a view showing a measuring part of a sleeping-inducing pillow,
4 is a view for explaining the sleeping posture control,
5 is a view illustrating a sleep state measurement method in an IoT-based sleeping-inducing pillow according to an embodiment of the present invention;
6 is a diagram showing a method of detecting pulse waves and respiration from the carotid artery,
7 is a view showing an adaptive control method in a sleep inducing posture;

While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It is to be understood, however, that the invention is not to be limited to the specific embodiments, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.

It is to be understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, . On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it should be understood that there are no other elements in between.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. In this specification, the terms "comprises" or "having" and the like refer to the presence of stated features, integers, steps, operations, elements, components, or combinations thereof, But do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, or combinations thereof.

The terms first, second, etc. may be used to describe various components, but the components should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another.

Also, the terms " part, "" module," and the like, which are described in the specification, mean a unit for processing at least one function or operation, and may be implemented by hardware or software or a combination of hardware and software.

It is to be understood that the components of the embodiments described with reference to the drawings are not limited to the embodiments and may be embodied in other embodiments without departing from the spirit of the invention. It is to be understood that although the description is omitted, multiple embodiments may be implemented again in one integrated embodiment.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Reference will now be made in detail to the preferred embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the like elements throughout. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail.

FIG. 1 is a schematic view of an IoT-based sleeping-inducing pillow system according to an embodiment of the present invention, FIG. 2 is a view illustrating a measuring unit, a processing unit, and a control unit of a sleeping- And Fig. 4 is a view for explaining the sleeping posture control.

1 to 4 show an IoT based sleep induction pillow system 1, a sleep inducing pillow 10, a measuring unit 11, a processing unit 12, a control unit 13, a monitoring unit 5, a pulse wave measuring unit 21, A microphone sensor 23, a pressure sensor 24, air packs 22a to 22e (also collectively referred to as 22), an input signal line 26, an output signal line 27, a receiving module 41, 42, an air supply module 43, and an attitude adjustment module 44 are shown.

The IoT-based sleep induction pillow system 1 according to an embodiment of the present invention is a system in which the sleep inducing pillow 10 and the monitoring means 5 are combined and is adapted to apply the Internet of Things (IoT) technology to the pillow So that sleeping is performed in an optimal environment by detecting a sleeping obstacle factor in the user's sleeping state.

The sleeping-inducing pillow 10 includes a measuring unit 11, a processing unit 12, and a control unit 13. [

The measurement unit 11 is a means for detecting a sleeping obstacle factor of a user using a pillow. 3, the measuring unit 11 includes a pulse wave measuring device 21 for measuring pulse waves, a microphone sensor 23 for snoring frequency and decibel monitoring, a pressure sensor (for detecting head position) 24). ≪ / RTI >

The control unit 13 receives the signal output from the measurement unit 11 and determines the sleep state of the user. The control unit 13 determines whether or not the user is sleeping, and outputs an operation control signal for sleep optimization to the processing unit 12.

The processing unit 12 receives the operation control signal of the control unit 13, and allows the posture adjustment to be performed in stages according to the signal. 4, the processing unit 12 may include a receiving module 41, a driving module 42, an air supply module 43, and a posture adjusting module 44. [

The monitoring means 5 may be a PC or a smart phone and stores sleep state information of the user by communicating with a communication unit (not shown) provided in the sleep induction pillow 10, statistically processes the data according to a predetermined statistical processing algorithm, So that you can check your sleep status.

2 is a cross-sectional view showing a straight line connecting two eyes of a person as a reference line.

Referring to FIG. 2, the sleeping-inducing pillow 10 may have five air packs 22a to 22e arranged to surround the user's head. Three air packs 22c, 22d and 22e are arranged at the lower end, two air packs 22a and 22b are arranged at both upper ends thereof and a space in which the user's head is placed between the upper air packs 22a and 22b is provided .

A pulse wave measuring device 21 for measuring a pulse wave from a carotid artery leading to the head of the user is installed in the lower end air pack 22d located at the center of the user and a microphone sensor 22 for detecting a user's snoring is provided on the two upper air packs 22a, 23 are installed. The two lower air packs 22c and 22e positioned at the edges are provided with a pressure sensor 24 for determining the inclination of the head posture of the user.

The data measured by these sensors are transmitted to the control unit 13 via the input signal line 26. When the controller 13 determines that the user's sleep state is snoring or sleep apnea, The operation control signal can be transmitted through the output signal line 27. [

The output signal line 27 is connected to the five air packs 22a to 22e so that the amount of air drawn into the air pack 22 is controlled in a plurality of steps (e.g., 1/3, 2/3, 3/4, Three steps, etc.) to adjust the angle at which the user's head is placed.

In addition, the air pack 22 may have a structure in which a noise absorbing material is laminated in a multi-layer structure (e.g., a three-layer structure), thereby minimizing the secondary noise damage caused by the snoring.

FIG. 3 shows a cross-sectional view with a straight line connecting a pair of eyes of a human being as a reference line.

3, the pulse wave measuring instrument 21 is disposed at the cervical portion (cervical vertebra) leading to the head of the user, and the microphone sensor 23 is disposed at the lower end of the portion where the user's nose is placed, and the pressure sensor 24 May be disposed at the cervical portion (the lower cervical vertebrae) leading to the shoulder of the user.

The pulse wave measuring device 21 measures the pulse wave of the user's carotid artery at the upper part of the cervical vertebrae. For example, when the change due to the rapid rise or fall of the pulse progresses for 5 minutes or more according to the output signal, 13), it can be judged that it is a suspected sleep apnea group.

In addition, the microphone sensor 23 measures the snoring frequency and decibel. For example, when the output signal is measured at 80 to 90 decibels in the frequency range of 450 Hz to 550 Hz, snoring can be determined as a suspected group. That is, the suspicious group of snoring can be finally judged by two parameters, frequency and decibel.

When it is judged that the sleeping is disabled, the control unit 13 generates an operation control signal according to a predetermined algorithm and transmits the operation control signal to the processing unit 12. Here, the operation structure of the processing unit 12 is shown in Fig.

Referring to FIG. 4, the receiving module 41 receives an operation control signal from the controller 13.

The drive module 42 may be a low noise motor dedicated to air supply, and the degree of drive is determined according to an operation control signal received by the reception module 41. [

The air supply module 43 is operated by driving the driving module 42. The air supply module 43 may be a nozzle, and air corresponding to the driving amount may be supplied to the posture adjusting module 44 connected to the end. Here, the posture adjusting module 44 may be the air pack 22 shown in Fig. 2, and may be precisely adjusted by the driving module 42 and the air supply module 43, So that it can be easily changed.

On the other hand, the sleeping posture is determined according to the signal output from the pressure sensor 24 for determining the head posture of the user, and the control unit 13 adjusts the posture by moving the posture adjusting module 44 based on the sleeping posture To prevent snoring and / or sleep apnea.

The sleeping-inducing pillow 10 is provided with a communication unit (not shown) and communicates with an external monitoring unit 5 to store various data (for example, measurement data, sleep state information, Operation control data, etc.) can be stored in an external database.

These data can be managed in a user-customized manner by associating the sleeping situation with the action data according to the characteristics of each user.

In addition, it is possible to determine whether the sleep therapy is continuously performed by determining whether the sleep state is improved through statistical processing after the predetermined sleep therapy is continued for a certain period of time.

Hereinafter, various data measurements, a sleep state determination method, and an adaptive control method capable of grasping a sleep state of a user will be described with reference to related drawings.

FIG. 5 is a view illustrating a method of measuring a sleep state in an IoT-based sleeping-inducing pillow according to an embodiment of the present invention, and FIG. 6 is a diagram illustrating a method of detecting a pulse wave and respiratory rate from a carotid artery.

Here, it is assumed that the pulse wave measuring device is a conductive phonograph.

First, the pulse wave measurement method is as follows. The first row data (pulse wave data) for the user's pulse wave and respiration is obtained using the conductive phonograph (step 511). Then, the controller calculates the pulse wave and the breath count from the first row data (step 513).

The conductive phonograph can acquire the bio-signal related to the pulse wave by sensing the sound due to the presence or absence of pulsation of the carotid artery and filtering the effective value through the filter. In the present embodiment, the pulse and respiration rate can be extracted based on general flow data of the blood flow from the heart to the carotid artery. In this way, the accuracy of the measurement can be improved and a pulse-like flow model according to the state of the blood vessel can be applied to provide a parameter capable of estimating the pressure of the inner wall of the vessel.

A method for detecting pulse waves and respiration from the carotid artery using a conductive phonograph is described in more detail in Fig.

Sensing the flow sound of the blood flow of the carotid artery in the conductive phonograph (step 611), in particular, the amplitude and frequency of the flow sound are sensed (step 613).

Then, a repetitive waveform is detected using the sensed amplitude and frequency (step 615), and the noise that deviates from the repetitive waveform is removed through the filter (step 617).

The pulsatile peak value is obtained from the repetitive waveform (step 619), the pulse wave and respiration are calculated from the pulsatile peak value (step 621), and the respiratory rate per minute is accumulated to calculate the respiratory rate per minute (step 623).

Here, in the process of sensing the amplitude and frequency, the estimated amplitude and frequency are estimated based on the pulsatile flow model between the heart and the carotid artery, and the optimized pulse wave and respiration number can be extracted by comparing with the measured data. In the present embodiment, the obtained data is simply processed and used. However, in this embodiment, an optimized calculation algorithm can be provided by comparing with the conventional pulsating flow model.

Referring again to FIG. 5, the controller calculates an index for determining sleep apnea by processing the calculated pulse wave and respiratory rate (step 515).

The sleep apnea judgment algorithm is as follows.

[Equation 1]

Here, the respiratory disturbance index (RDI) is the respiratory disturbance index, respiratory-effort related arousals (RERAs) are the number of awakenings according to the breathing failure during sleep, Hypopneas is the respiratory depression, Apneas is the number of apnea, (total sleep time).

In this embodiment, RERAs are estimated through a rapid increase in pulse, which is a main characteristic mainly appearing in awakening, and sleep apnea and respiration reduction are estimated by the normal respiration measured in the initial period (for example, 5 minutes) The number average and the number of respiration when snoring occurs can be estimated by comparing.

The control unit 13 may determine whether or not sleep apnea using the calculated respiratory disturbance index (RDI) based on Equation (1) (step 540).

For example, the respiratory disturbance index (RDI) is determined to be mild when the respiratory distress index (RDI) is 5 to 15 or less, moderate to 15 to 30 or less, and severe to 30 to 120 or less.

Referring again to FIG. 5, it is possible to determine whether or not snoring is caused by using a microphone sensor.

The snore sound is sensed through the microphone sensor to acquire second row data (vibration row data) for the vibration (step 521). The controller then filters the snoring amplitude in the second row data (step 523), detects the snoring signal (step 525), and determines whether snoring is present (step 540).

The user can determine the head slope through the pressure sensor.

Third row data (pressure low data) for the pressure is obtained through a pressure sensor installed at a plurality of points (step 531). The control unit may calculate the pressure difference between the pressure sensors using the third row data (step 533) and calculate the head slope of the user (step 535).

The control unit processes each of the first through third raw data acquired through the conductive phonograph, the microphone sensor, and the pressure sensor according to a predetermined algorithm to calculate a breathing disturbance index, detects a snoring signal, And the user can determine the sleep state of the user in a comprehensive manner (step 540).

7 is a view showing an adaptive control method in a sleep inducing posture.

After the comprehensive determination (step 540), the control unit calculates a target sleeping attitude according to the severity of sleep apnea and snoring (step 542).

When the target sleeping attitude is calculated, the target air quantity for each air pack is compared with the current sleeping attitude (step 544), and the air intake amount to each air pack is adjusted so as to reach the set target air quantity.

After a predetermined time (for example, about 10 minutes), re-sensing is performed through the measuring unit (step 546), and sleep apnea and snoring are relieved (step 548).

If sleep apnea and snoring are not alleviated, the procedure returns to step 542 to change the target sleep position. This feedback control allows continued adaptive control until the user ' s snoring and / or sleep apnea is improved.

If it is determined that the sleep state has been optimized, the controller stores the optimal control parameters (step 550) and immediately provides optimized feedback to the user if snoring or sleep apnea begins at step 552, It is possible to perform the control to the optimum target sleeping posture utilizing the optimal control parameters.

The adaptive control method according to the present invention can be implemented in the form of a program command which can be executed through various computer means and recorded in a computer readable medium. That is, the recording medium may be a computer-readable recording medium having recorded thereon a program for causing a computer to execute the steps described above.

The computer-readable medium may include program instructions, data files, data structures, etc., singly or in combination. The program instructions recorded on the medium may be those specially designed and constructed for the present invention or may be available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic recording media such as magnetic media such as hard disks, floppy disks and magnetic tapes, optical recording media such as CD-ROMs and DVDs, magnetic recording media such as floppy disks, Optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like.

The medium may be a transmission medium such as an optical or metal line, a wave guide, or the like, including a carrier wave for transmitting a signal designating a program command, a data structure, or the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention.

In addition, each of the above-described components may be embodied as one physically adjacent component or may be implemented as a different component. In the latter case, each component can be controlled to be located adjacent to or in a different zone. In this case, the present invention can include a separate control means or control room for controlling each component to control each component in a wired or wireless manner You may.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or scope of the invention as defined in the following claims And changes may be made without departing from the spirit and scope of the invention.

1: IoT based sleep inducing pillow system 10: Sleep inducing pillow
11: measuring part 12:
13: control unit 5: monitoring means
21: Pulse wave meter 23: Microphone sensor
24: pressure sensors 22a to 22e: air pack
26: input signal line 27: output signal line
41: receiving module 42: driving module
43: air supply module 44: attitude adjustment module

Claims (6)

A measurement unit including a pulse wave measuring device for measuring pulse waves, a microphone sensor for snoring frequency and decibel monitoring, and a pressure sensor for detecting a user's head position;
A controller for adjusting the angle of the user's head by adjusting an air inflow amount individually according to an operation control signal for a plurality of air packs arranged so that a space where the user's head is placed is provided; And
And a controller for receiving a signal output from the measuring unit to determine a sleep state of the user, determining whether the user is sleeping, and outputting the operation control signal for optimizing the sleep of the user according to a determination result,
The pulse wave measuring device is a conductive phonograph,
Sensing the amplitude and frequency of the flow sound of the blood flow of the carotid artery of the user using the conductive phonograph,
Wherein the controller estimates an expected amplitude and frequency based on a pulsatile flow model between the heart and the carotid artery and detects a repetitive waveform by comparing the sensed amplitude and frequency of the flow sound and removes the noise through a filter, And the respiratory rate is calculated by accumulating the number of breaths according to the passage of time,
The control unit

, The index for sleep apnea judgment is calculated,
The respiratory disturbance index (RDI) is the respiratory disturbance index, respiratory-effort related arousals (RERAs) are the number of awakening according to breathing failure during sleep, Hypopneas is respiratory depression, Apneas is the number of apnea, TST is total sleep time sleep time)
RERAs are estimated through a rapid increase in pulse rate, which is a major characteristic of awakening. Sleep apnea and respiratory depression are estimated by comparing the normal respiration rate measured during the first predetermined time and the respiration rate average when snoring occurs A sleeping-inducing pillow.
The method according to claim 1,
The processing unit includes three lower-end air packs placed on the lower end and two upper-end air packs placed on both upper ends,
The lower air pack located at the center is provided with the pulse wave measuring device for measuring the pulse wave from the carotid artery leading to the head of the user, the two microphone sensors are installed on the upper air pack, and the two lower air packs, Wherein a sensor is installed.
3. The method of claim 2,
Wherein the pulse wave measuring device is disposed at a cervical portion leading to a head of the user and the microphone sensor is disposed at a lower end of a portion of the user's nose where the user's nose is to be placed and the pressure sensor is disposed at a cervical portion Wherein said sleeping pillow is a sleeping pillow.
delete delete The method according to claim 1,
The control unit comprehensively determines signals from the pulse wave measuring device, the microphone sensor, and the pressure sensor, calculates a target sleeping attitude according to the degree of sleep apnea and the degree of snoring,
Wherein the control unit sets the target air amount for each air pack in comparison with the current sleeping posture when the target sleeping posture is calculated and adjusts the air intake amount to each air pack to reach the set target air amount,
After the elapse of a predetermined time, re-sensing is performed through the measurement unit to check whether sleep apnea and snoring are alleviated,
And if the air is not eased, changing the target sleeping posture to perform air intake adjustment again,
Wherein the optimal control parameter is stored when the sleep state of the user is determined to be optimized and the optimized feedback is immediately provided to the user when snoring or sleep apnea begins.

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