KR102602270B1 - System and method for providing sleeping state monitoring service - Google Patents

Abstract

The present invention relates to a technology for providing a sleep state monitoring service. The sleep state monitoring service provision system according to one aspect of the present invention is a wearable device that provides respiratory state information based on analysis of PPG signals obtained from the user's human body. and a sleep state detection device that provides movement information based on analysis of acceleration of the user's movement; and generate snoring information based on analysis of surrounding sounds, while recognizing sleep state symptoms by analyzing the breathing state information, the movement information, and the snoring information, and providing services corresponding to the recognition results. Includes smart terminals.

Description

System and method for providing sleeping state monitoring service}

The present invention relates to technology for providing sleep status monitoring services, and more specifically, to a system and method for providing sleep status monitoring services using wearable devices and smart terminals.

Recently, the number of people suffering from sleep disorders such as ‘snoring’ and ‘sleep apnea’ due to various social, mental, and physical causes is increasing. Recurring snoring and sleep apnea can interfere with not only health but also social life, so urgent treatment is needed.

However, 'polysomnography', which is currently used to treat sleep disorders, is a testing method that checks the patient's overall body condition while he or she sleeps overnight in the laboratory, and has the problem of not only being subject to time and space constraints, but also being expensive. there is.

Therefore, there is a need for a low-cost device equipped with sleep state recognition and management service technology that allows individuals to easily monitor and manage their sleep state.

Patent Publication No. 10-2014-0006256 “Bio-radar-based sleep apnea monitoring system and method”

Therefore, the present invention was created to solve the problems of the prior art as described above, and the purpose of the present invention is to provide a system and method for providing a sleep status monitoring service using a wearable device and a smart terminal.

A system for providing a sleep state monitoring service according to an aspect of the present invention to achieve the above object is a wearable device in the system for providing a monitoring service for the sleep state of a user who is sleeping, and PPG obtained from the user's human body. A sleep state detection device that provides breathing state information based on analysis of signals and movement information based on analysis of acceleration of the user's movement; and generate snoring information based on analysis of surrounding sounds, while recognizing sleep state symptoms by analyzing the breathing state information, the movement information, and the snoring information, and providing services corresponding to the recognition results. Includes smart terminals.

The sleep state detection device includes a PPG sensor that measures the PPG signal; An acceleration sensor that measures the acceleration; Extracting a pulse from the PPG signal, extracting a respiration signal from the extracted pulse, analyzing the respiration state based on the extracted respiration signal to generate the respiration state information, extracting a speed value from the acceleration, and extracting a control unit that extracts movement from the extracted speed value, analyzes the state of the extracted movement, and generates the movement information; and a first communication unit that communicates with the smart terminal.

The control unit is configured to generate the breathing state information by analyzing the period and intensity of the breathing signal, and to generate the movement information by analyzing the intensity, movement speed, and direction of the movement.

The smart terminal includes a second communication unit that communicates with the sleeping state detection device; A sensor unit that collects surrounding sounds; an analysis unit that extracts sleep sounds from the surrounding sounds, extracts snoring from the extracted sleep sounds, and analyzes the state of the extracted snoring to generate the snoring information; a sleep state recognition unit that analyzes the breathing state information, the movement information, and the snoring information to recognize sleep state symptoms; and a service provision unit that provides a service corresponding to the recognition result of the sleep state recognition unit.

The sleep state recognition unit is configured to determine whether an apnea phenomenon has occurred based on the breathing state information, and, if the apnea phenomenon continues for a preset time, to determine that an apnea phenomenon has occurred during the user's sleep.

The sleep state recognition unit is configured to determine the degree of tossing and turning based on the motion information and determine the degree of deep sleep based on the determined tossing and turning information.

The sleep state recognition unit is configured to determine whether a snoring phenomenon has occurred based on the snoring information, and, if the snoring phenomenon continues for a preset time, to determine that a snoring phenomenon has occurred during the user's sleep.

The sleep state recognition unit is configured to determine whether snoring occurs based on similarity between the snoring information and a previously stored snoring model.

The sleep state recognition unit is configured to determine the snoring phenomenon by classifying it based on the degree of similarity between the snoring information and the snoring model and the duration of snoring occurrence.

The sleep state recognition unit is configured to analyze the correlation between previously stored daily life information and the sleep state symptoms, and determine the frequency of occurrence of sleep state symptoms and the variation rate of sleep state symptoms according to daily life based on the correlation.

The service provider provides a warning service and notification service when the sleep condition symptom grade is high or medium grade, and when the sleep condition symptom grade is low grade, only the warning service is provided. It is designed to provide

A method of providing a sleep state monitoring service according to an aspect of the present invention to achieve the above object is a method of providing a monitoring service for the sleep state of a sleeping user, wherein the sleep state detection device obtains from the user's human body. providing respiratory status information based on analysis of PPG signals; providing movement information based on acceleration analysis of the user's movement, by the sleep state detection device; A smart terminal generating snoring information based on analysis of surrounding sounds; Recognizing sleep state symptoms by the smart terminal analyzing the breathing state information, the movement information, and the snoring information; and providing a service corresponding to the recognition result by the smart terminal.

The step of providing the respiratory state information includes extracting a pulse from the PPG signal, extracting a respiratory signal from the extracted pulse, and analyzing the respiratory state based on the extracted respiratory signal to generate the respiratory state information. do.

The step of providing the motion information includes extracting a velocity value from the acceleration, extracting motion from the extracted velocity value, and analyzing the state of the extracted motion to generate the motion information.

The step of generating snoring is a step of extracting sleep sounds from the surrounding sounds, extracting snoring from the extracted sleep sounds, and analyzing the state of the extracted snoring to generate the snoring information.

The step of recognizing the sleep state symptom includes determining a no-breathe state by analyzing the breathing state information, determining a tossing and turning state by analyzing the movement information, and determining a snoring state by analyzing the snoring information. am.

The step of recognizing the sleep state symptom includes determining whether an apnea phenomenon has occurred based on the breathing state information and, if the apnea phenomenon continues for a preset time, determining that an apnea phenomenon has occurred during the user's sleep. do.

The step of recognizing the sleep state symptom determines whether the snoring phenomenon has occurred based on the snoring information, and if the snoring phenomenon continues for a preset time, it is determined that the snoring phenomenon has occurred during the user's sleep. It includes doing.

The step of providing the service includes providing a warning service and notification service when the level of the sleep condition symptom corresponds to either a high level or a medium level, and when the level of the sleep condition symptom corresponds to a low level. This is the stage where only warning services are provided.

The step of providing the service is a step of providing a notification service including information including one or more of the apnea phenomenon and the snoring phenomenon by SMS.

The sleep status monitoring service provision system of the present invention provides a sleep status monitoring service to users using a wearable device and a smart terminal.

Using the system of the present invention, it is possible to determine the user's apnea state during sleep in real time through analysis of bio-signals measured using a sleep state detection device in daily life, so that the sleep state can be easily monitored. It can be recognized more conveniently.

In addition, when using the system of the present invention, the user's sleep state can be determined in real time by measuring and analyzing sound signals during sleep using a smart terminal.

Therefore, it is possible to provide a service suitable for the user's sleep condition, and it can be of great help in regaining vitality in daily life by monitoring the user's sleep health status and helping the user achieve healthy sleep.

1 is a diagram illustrating the configuration of a sleep status monitoring service providing system according to an embodiment of the present invention.
Figure 2 is a diagram showing the configuration of a sleep state detection device in a sleep state monitoring service providing system according to an embodiment of the present invention.
FIG. 3 is a diagram illustrating the function of the sleep state detection device of FIG. 2.
Figure 4 is a diagram showing the configuration of a smart terminal of a sleep status monitoring service providing system according to an embodiment of the present invention.
FIG. 5 is a diagram illustrating the functions of the smart terminal of FIG. 4.
Figure 6 is a flowchart showing the operation sequence according to a method of providing a sleep status monitoring service using a sleep status monitoring service provision system according to an embodiment of the present invention.

Regarding the embodiments of the present invention disclosed in the text, specific structural and functional descriptions are merely illustrative for the purpose of explaining the embodiments of the present invention, and the embodiments of the present invention may be implemented in various forms and are not included in the text. It should not be construed as limited to the described embodiments.

Since the present invention can be subject to various changes and can have various forms, specific embodiments will be illustrated in the drawings and described in detail in the text. However, this is not intended to limit the present invention to a specific disclosed form, and should be understood to include all changes, equivalents, and substitutes included in the spirit and technical scope of the present invention.

Terms such as first, second, etc. may be used to describe various components, but the components should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. For example, a first component may be referred to as a second component, and similarly, the second component may be referred to as a first component without departing from the scope of the present invention.

When a component is said to be “connected” or “connected” to another component, it is understood that it may be directly connected or connected to the other component, but that other components may exist in between. It should be. On the other hand, when a component is said to be “directly connected” or “directly connected” to another component, it should be understood that there are no other components in between. Other expressions that describe the relationship between components, such as “between” and “immediately between” or “neighboring” and “directly adjacent to” should be interpreted similarly.

The terms used in this application are only used to describe specific embodiments and are not intended to limit the invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, terms such as “comprise” or “have” are intended to designate the presence of a disclosed feature, number, step, operation, component, part, or combination thereof, and are intended to indicate the presence of one or more other features or numbers, It should be understood that this does not exclude in advance the possibility of the presence or addition of steps, operations, components, parts, or combinations thereof.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by a person of ordinary skill in the technical field to which the present invention pertains. Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and unless explicitly defined in the present application, should not be interpreted in an ideal or excessively formal sense. No.

Meanwhile, if an embodiment can be implemented differently, functions or operations specified within a specific block may occur differently from the order specified in the flowchart. For example, two consecutive blocks may actually be performed substantially simultaneously, or the blocks may be performed in reverse depending on the functions or operations involved.

Hereinafter, a sleep status monitoring service providing system and method according to an embodiment of the present invention will be described in detail with reference to the attached drawings.

1 is a diagram illustrating the configuration of a sleep status monitoring service providing system according to an embodiment of the present invention.

Referring to FIG. 1, the sleep state monitoring service providing system 1 (hereinafter referred to as 'system') according to an embodiment of the present invention collects the user's sleep state and determines the characteristics of the user's sleep state based on the collected sleep state. It is configured to recognize the sleep state by making judgments and analyzing the characteristics of the sleep state, and to provide services corresponding to the recognized results.

The system (1) may be composed of a sleep state detection device (2) and a smart terminal (4), but the configuration of the system (1) shown in FIG. 1 is an example to explain the present invention, and the system (1) This is not limited to the configuration in Figure 1.

The sleep state detection device 2 is configured to provide information ('sleep state information') related to the user's sleep state. For example, it is a wearable device and may be formed in the form of a wrist such as a band, bracelet, watch, etc. You can.

The sleep state detection device 2 may be composed of a plurality of sensors for collecting the user's sleep state signals, and generates breathing state information and movement information based on the sleep state signals collected by the configured sensors. and transmits it to the smart terminal (4).

The smart terminal 4 collects surrounding sounds and generates snoring information during sleep from the collected surrounding sounds.

In addition, the smart terminal 4 analyzes and recognizes the sleep state based on the snoring information generated by the smart terminal 4 and the breathing state information and movement information transmitted from the sleep state detection device 2, and corresponds to the recognized result. Provides services that

In the above, we looked at the overall configuration and operation of the sleep status monitoring service provision system according to an embodiment of the present invention. Below, we will look at the detailed configuration and detailed operation of each component of the sleep status monitoring service provision system.

FIG. 2 is a diagram showing the configuration of a sleep state detection device of a sleep state monitoring service provision system according to an embodiment of the present invention, and FIG. 3 is a diagram focusing on the function of the sleep state detection device of FIG. 2.

The sleep state detection device 200 shown in FIG. 2 can be applied to the sleep state detection device 2 in FIG. 1, and collects the sleep state of the user and generates sleep state information based on this, as shown in FIG. 1. It is configured to transmit to the smart terminal 4.

Referring to FIGS. 2 and 3, the sleep state detection device 200 may be composed of a first sensor unit 210, a control unit 230, and a first communication unit 250, but the sleep state detection device shown in FIG. 2 The configuration of the device 200 is an example, and the configuration of the sleep state detection device 200 is not limited thereto.

The first sensor unit 210 is configured to measure the user's sleeping state signal, and in particular, is configured to measure the user's biosignal and acceleration in the sleeping state.

For example, the first sensor unit 210 may be composed of a PPG sensor 211 that measures a photoplethysmogram (PPG) signal and an acceleration sensor 213 that measures acceleration.

That is, the PPG sensor 211 obtains a PPG signal from the user's human body, and the acceleration sensor 213 obtains the acceleration of the user's movement.

In addition, the first sensor unit 210 may be configured to measure an ECG (ElectroCardioGram) signal or a GSR (Galvanic Skin Response) signal, as well as to measure various types of signals widely used in the industry to measure sleep status. It can be configured.

The control unit 230 receives the sleep state signal measured by the first sensor unit 210, generates sleep state information based on the received sleep state signal, and transmits the generated sleep state information to the communication unit 250. It is transmitted externally, for example, to the smart terminal 3 in FIG. 1.

At this time, the control unit 230 extracts the pulse from the PPG signal measured by the PPG sensor 211, extracts a respiration signal from the extracted pulse, and analyzes the respiration state based on the extracted respiration signal to provide respiration state information. creates .

Then, the control unit 230 extracts a speed value from the acceleration measured by the acceleration sensor 213, extracts movement from the extracted speed value, and analyzes the movement state based on the extracted movement to generate movement information. do.

Here, the control unit 230 may generate breathing state information by analyzing the period and intensity of the breathing signal, and generate movement information by analyzing the intensity of movement, movement speed, and direction.

The first communication unit 250 transmits the sleep state information provided from the control unit 230 to an external source, for example, the smart terminal 3 in FIG. 1 .

In particular, the first communication unit 250 processes a communication protocol for transmitting sleep state information, formats the sleep state information to be suitable for communication, and communicates with the smart terminal 3 to transmit the sleep state information.

At this time, the first communication unit 250 supports Bluetooth, WiFi (IEEE 802.11b High Rate), WLAN (Wireless LAN), UWB (Ultra Wide Band), IrDA (Infrared Data Association), and HPNA (Home Phoneline Networking Alliance). ), SWAP (Shared Wireless Access Protocol), IEEE1394, etc. may be configured to include a short-distance communication module for performing short-distance communication.

FIG. 4 is a diagram illustrating the configuration of a smart terminal of a sleep status monitoring service providing system according to an embodiment of the present invention, and FIG. 5 is a diagram illustrating the functions of the smart terminal of FIG. 4.

The smart terminal 400 shown in FIG. 4 can be applied to the smart terminal 4 in FIG. 1, and collects surrounding sounds, collects sound information about sleep from the collected surrounding sounds, and sleeps by itself. Based on the collected sound information and biometric information and movement information transmitted from the sleep state detection device (2), the sleep state is analyzed and recognized, and services corresponding to the recognized results are provided.

For example, the smart terminal 400 may be a smart phone, but may also be a touch phone, a personal digital assistant phone (PDA phone), a wireless broadband internet phone, and a DMB phone ( It may also be a digital multimedia broadcasting phone).

Referring to Figures 4 and 5, the smart terminal 400 includes a second communication unit 410, a second sensor unit 430, an analysis unit 450, a sleep state recognition unit 470, and a service provision unit 490. However, the configuration of the smart terminal 400 is not limited to this.

The second communication unit 410 receives respiratory state information and movement information transmitted from an external source, for example, the sleep state detection device 2 of FIG. 1, and sends the received respiratory state information and movement information to a sleep state recognition unit ( 470).

The second sensor unit 430 may be configured as a micro-microphone, for example, and collects surrounding sounds and provides them to the analysis unit 450.

The analysis unit 450 extracts sounds related to sleep ('sleep sounds') from the surrounding sounds provided by the second sensor unit 430, extracts snoring from the extracted sleep sounds, and analyzes the extracted snoring. The state is analyzed to generate snoring information, and the generated snoring information is provided to the sleep state recognition unit 470.

The sleep state recognition unit 470 analyzes the breathing state information and movement information provided from the second communication unit 410 and the snoring information provided from the analysis unit 450 to recognize the sleep state and provides the recognition result to the service. Provided as a study (490).

In addition, the sleep state recognition unit 470 can recognize sleep state symptoms, that is, whether apnea phenomenon occurs, whether tossing and turning phenomenon occurs, and whether snoring phenomenon occurs through analysis.

At this time, the sleep state recognition unit 470 may determine whether an apnea phenomenon has occurred based on the breathing state information, and if the apnea phenomenon continues for a preset time, it may determine that an apnea phenomenon has occurred during the user's sleep.

Additionally, the sleep state recognition unit 470 can determine the degree of tossing and turning based on movement information, and in addition, can determine the degree of deep sleep based on the determined tossing and turning information.

In addition, the sleep state recognition unit 470 determines whether the snoring phenomenon has occurred based on the snoring information, and if the snoring phenomenon continues for a preset time, it determines that the snoring phenomenon has occurred during the user's sleep. You can.

Additionally, the sleep state recognition unit 470 may determine whether snoring has occurred based on the similarity between snoring information and a previously stored snoring model.

At this time, the sleep state recognition unit 470 may determine the snoring phenomenon by classifying it based on the degree of similarity between the snoring information and the snoring model and the duration of snoring occurrence. Meanwhile, the sleep state recognition unit 470 can calculate a grade for the sleep state based on the recognition result, for example, high grade, medium grade, and low grade.

In addition, the sleep state recognition unit 470 analyzes the correlation between previously stored daily life information and sleep state symptoms, and based on the correlation, the frequency of occurrence of sleep state symptoms and the variation rate of sleep state symptoms according to daily life. can be judged.

In addition, the sleep state recognition unit 470 may determine the variation rate of sleep state symptoms by time period, the variation rate of sleep state symptoms by temperature, and the variation rate of sleep state symptoms by humidity.

The service provider 490 provides a service corresponding to the recognition result based on the recognition result provided from the sleep state recognition unit 470.

For example, if the service provider 490 determines from the recognition result that the user's current state is in a specific situation, it may provide a warning service corresponding to the specific situation or provide a notification service to the user's acquaintances. there is.

At this time, the service provider 490 may determine whether to provide a notification service based on the level of sleep state symptoms.

For example, the service provider 490 provides a warning service and notification service when the sleep condition symptom grade is high or medium grade, and when the sleep condition symptom grade is low grade, the service provider 490 provides a warning service and notification service. In this case, only a warning service can be provided.

At this time, the service provider 490 may transmit a notification service containing information related to snoring symptoms and apnea symptoms via SMS.

In addition, the service provider 490 can manage sleep and deep sleep states based on the monitored sleep state, create a chart, and provide information related to the sleep state and deep sleep state.

In the above, we looked at the configuration and function of the sleep status monitoring service provision system according to an embodiment of the present invention. Below, we will look at a method of providing sleep status monitoring using a sleep status monitoring service provision system according to an embodiment of the present invention.

Figure 6 is a flowchart showing the operation sequence according to a method of providing a sleep status monitoring service using a sleep status monitoring service provision system according to an embodiment of the present invention.

The sleep state monitoring service provision method shown in FIG. 6 can be performed by the sleep state monitoring service provision system examined with reference to FIGS. 1 to 5.

First, as in step S600, the method of providing a sleep status monitoring service begins upon receiving a user's request to start an operation.

When receiving a request to start an operation according to step S600, the sleep state detection device 200 generates breathing state information based on the PPG signal measured by the PPG sensor 211 (S610) and sends it to the acceleration sensor 213. Movement information is generated based on the acceleration measured by (S620), and the smart terminal 400 generates snoring information based on the sound collected by the second sensor unit 430 (S630).

Looking at step S610 in detail, the sleep state detection device 200 extracts a pulse from the PPG signal measured by the PPG sensor 211 in step S611 (S612), and extracts a respiratory signal from the extracted pulse ( S613), the respiratory state is analyzed based on the extracted respiratory signal (S614), and respiratory state information is generated.

At this time, the analysis of the respiratory state in step S614 may be performed through analysis of the period and intensity of the respiratory signal.

And, looking at step S620 in detail, the sleep state detection device 200 extracts a speed value from the acceleration measured by the acceleration sensor 213 in step S621 (S622) and extracts movement from the extracted speed value. And (S623), the extracted motion state is analyzed (S624) to generate motion information.

At this time, the analysis of the movement in step S624 can be done through analysis of the intensity of the movement, the speed and direction of the movement.

And, looking at step S630 in detail, the smart terminal 400 extracts a sound related to sleep ('sleep sound') from the sound collected by the second sensor unit 430 in step S631 (S632), Snoring is extracted from the extracted sleep sound (S633), the state of the extracted snoring is analyzed (S634), and snoring information is generated. Thereafter, the smart terminal 400 performs the steps S610, S620, and S630. Recognize sleep symptoms by analyzing breathing status information, movement information, and snoring information (S640).

At this time, the apnea state, tossing and turning state, and snoring state can be recognized through the analysis in step S640.

In step S640, the smart terminal 400 determines whether an apnea phenomenon has occurred based on the breathing state information, and if the apnea phenomenon continues for a preset time, it may be determined that an apnea phenomenon has occurred during sleep.

At this time, the smart terminal 400 can determine the apnea phenomenon by grade based on the frequency of occurrence of apnea, the duration of apnea, etc.

In addition, the smart terminal 400 can determine the degree of tossing and turning based on movement information, and in addition, can determine the degree of deep sleep based on the determined tossing and turning information.

Additionally, the smart terminal 400 may determine whether a snoring phenomenon has occurred based on the snoring information, and if the snoring phenomenon continues for a preset time, it may determine that the snoring phenomenon has occurred during sleep.

In addition, the smart terminal 400 can calculate a grade for the sleep state based on the recognition result, for example, high grade, medium grade, and low grade.

In addition, the smart terminal 400 can analyze the correlation between daily life information and sleep state symptoms, and based on the correlation, determine the frequency of occurrence of sleep state symptoms and the variation rate of sleep state symptoms according to daily life. there is.

In addition, the smart terminal 400 can determine the variation rate of sleep state symptoms by time period, the variation rate of sleep state symptoms by temperature, and the variation rate of sleep state symptoms by humidity.

After step S640, the smart terminal 400 provides a service corresponding to the recognition result (S650), determines whether an operation termination request has been received (S660), and, if the operation termination request is received (S660-yes), is in a sleep state. If the monitoring service provision operation is terminated and an operation termination request is not received (S660-No), the sleep state monitoring service provision operation based on steps S610 to S650 is performed.

At this time, in step S650, if the smart terminal 400 determines from the recognition result that the user's current state is in a specific situation, it provides a warning service corresponding to the specific situation or provides a notification service to the user's acquaintances. can do.

At this time, the smart terminal 400 may determine whether to provide a notification service based on the level of sleep state symptoms.

For example, the smart terminal 400 provides a warning service and notification service when the sleep condition symptom grade is high or medium grade, and when the sleep condition symptom grade is low grade, the smart terminal 400 provides a warning service and notification service. In this case, only a warning service can be provided.

At this time, the smart terminal 400 may transmit a notification service containing information related to snoring symptoms and apnea symptoms via SMS.

Meanwhile, although the system and method for providing sleep status monitoring service according to the present invention have been described according to embodiments, the scope of the present invention is not limited to the specific embodiments, and the scope of the present invention is not limited to the specific embodiments, and will be apparent to those skilled in the art. Various alternatives, modifications, and changes can be implemented within the scope.

Accordingly, the embodiments described in the present invention and the accompanying drawings are not intended to limit the technical idea of the present invention, but are for illustrative purposes, and the scope of the technical idea of the present invention is not limited by these embodiments and the attached drawings. . The scope of protection of the present invention should be interpreted in accordance with the claims, and all technical ideas within the equivalent scope should be interpreted as being included in the scope of rights of the present invention.

1: Sleep status monitoring service provision system
2, 200: Sleep state detection device 4, 400: Smart terminal
210: first sensor unit 211: PPG sensor
213: acceleration sensor 230: control unit
250: 1st communication unit 410: 2nd communication unit
430: second sensor unit 450: analysis unit
470: Sleep status recognition department 490: Service provision department

Claims (10)

In a system for providing a monitoring service for the sleeping state of a sleeping user,
A wearable device that provides breathing state information based on analysis of a PPG (Photoplethysmogram) signal obtained from the user's human body and movement information based on analysis of the acceleration of the user's movement. ; and
A smart device that generates snoring information based on analysis of surrounding sounds, recognizes sleep symptoms by analyzing the breathing state information, movement information, and snoring information, and provides services corresponding to the recognition results. Including a terminal,
The smart terminal is,
A sleep state recognition unit that analyzes the breathing state information, the movement information, and the snoring information to recognize sleep state symptoms,
The sleep state recognition unit,
Classify the snoring phenomenon into grades based on the similarity between the snoring information and the snoring model and the duration of snoring occurrence,
Analyze the correlation between previously stored daily life information and sleep state symptoms, and based on the correlation, determine the frequency of occurrence of sleep state symptoms and the variation rate of sleep state symptoms according to daily life,
A sleep state monitoring service providing system that recognizes the sleep state symptoms by determining the rate of variation of sleep state symptoms by time period, the rate of change of sleep state symptoms by temperature, and the rate of change of sleep state symptoms by humidity. According to claim 1,
The sleeping state detection device,
A PPG sensor measuring the PPG signal;
An acceleration sensor that measures the acceleration;
Extracting a pulse from the PPG signal, extracting a respiration signal from the extracted pulse, analyzing the respiration state based on the extracted respiration signal to generate the respiration state information, extracting a speed value from the acceleration, and extracting a control unit that extracts movement from the extracted speed value, analyzes the state of the extracted movement, and generates the movement information; and
Comprising a first communication unit that communicates with the smart terminal
Sleep status monitoring service provision system. According to claim 1,
The smart terminal is,
a second communication unit communicating with the sleeping state detection device;
A sensor unit that collects surrounding sounds;
an analysis unit that extracts sleep sounds from the surrounding sounds, extracts snoring from the extracted sleep sounds, and analyzes the state of the extracted snoring to generate the snoring information;
a sleep state recognition unit that analyzes the breathing state information, the movement information, and the snoring information to recognize sleep state symptoms; and
A sleep state monitoring service providing system including a service provision unit that provides a service corresponding to the recognition result of the sleep state recognition unit. According to claim 3,
The sleep state recognition unit determines whether an apnea phenomenon has occurred based on the breathing state information, and if the apnea phenomenon continues for a preset time, it is configured to determine that an apnea phenomenon has occurred during the user's sleep.
A sleep status monitoring service provision system. According to claim 3,
The sleep state recognition unit determines whether a snoring phenomenon has occurred based on the snoring information, and if the snoring phenomenon continues for a preset time, it is configured to determine that the snoring phenomenon has occurred during the user's sleep.
A sleep status monitoring service provision system. According to claim 3,
The service provider provides a warning service and notification service when the sleep condition symptom grade is high or medium grade, and when the sleep condition symptom grade is low grade, only the warning service is provided. What it is structured to provide
A sleep status monitoring service provision system. In a method of providing a monitoring service for the sleeping state of a sleeping user,
A sleep state detection device providing breathing state information based on analysis of a PPG (Photoplethysmogram) signal obtained from the user's human body;
providing movement information based on acceleration analysis of the user's movement, by the sleep state detection device;
A smart terminal generating snoring information based on analysis of surrounding sounds;
Recognizing sleep state symptoms by the smart terminal analyzing the breathing state information, the movement information, and the snoring information; and
Including the step of the smart terminal providing a service corresponding to the recognition result,
The step of recognizing the sleep state symptoms is,
Classifying the snoring phenomenon into grades based on the similarity between the snoring information and the snoring model and the duration of snoring occurrence;
Analyzing the correlation between previously stored daily life information and sleep state symptoms, and based on the correlation, determining the frequency of occurrence of sleep state symptoms and the variation rate of sleep state symptoms according to daily life; and
Step to determine the variation rate of sleep state symptoms by time period, the variation rate of sleep state symptoms by temperature, and the variation rate of sleep state symptoms by humidity.
A method of providing a sleep state monitoring service, including a step of recognizing the sleep state symptoms. According to claim 7,
The step of recognizing the sleep state symptoms is,
Steps of determining a non-breathing state by analyzing the breathing state information, determining a tossing and turning state by analyzing the movement information, and determining a snoring state by analyzing the snoring information.
How to provide sleep status monitoring service. According to claim 7,
The step of recognizing the sleep state symptoms is,
Determining whether an apnea phenomenon has occurred based on the breathing status information, and if the apnea phenomenon continues for a preset time, determining that an apnea phenomenon has occurred during the user's sleep.
How to provide sleep status monitoring service. According to claim 7,
The steps to provide the above service are:
A step of providing a warning service and notification service when the level of the sleep condition symptom corresponds to either a high level or a medium level, and providing only a warning service when the level of the sleep condition symptom corresponds to a low level.
How to provide sleep status monitoring service.

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