KR20220077659A - Method for providing time alarm based on sleep efficiency - Google Patents

Abstract

The present invention provides a method for providing a time alarm based on sleep efficiency, comprising: in one embodiment, extracting a bedtime and a wake-up time when the sleep efficiency is greater than or equal to a preset value, based on the individual accumulated sleep data of a measurement subject; calculating an optimal bedtime and an optimal wakeup time from the extracted bedtime and wakeup time; setting a bedtime and wake-up time alarm based on the optimal bedtime and wake-up time; and providing the set bedtime and wake-up time alarms to the measurement target; discloses a time alarm providing method based on sleep efficiency comprising a.

Description

{Method for providing time alarm based on sleep efficiency}

The present invention relates to a sleep efficiency management system, and more particularly, by using a pressure sensor and a vibration sensor, measuring the lying time and sleeping time of a subject to be measured, respectively, calculating sleep efficiency, and based on this, bedtime/wake time It relates to a method for providing a time alarm based on sleep efficiency that can provide an alarm for.

Unlike in the past, in today's highly industrialized society, most of modern people are experiencing large and small sleep disorders, and in particular, the number of people suffering from sleep disorders is increasing due to the social atmosphere or environment in which stress has rapidly increased. Therefore, in order to find a sleep method that allows you to get a good night's sleep within a given time or to improve the sleep environment that allows you to sleep in the most comfortable and pleasant way, measuring and judging human physical or mental changes that occur during sleep to improve sleep efficiency. There are more and more studies for

However, as a method for judging the current sleep state, a number of sensors are directly attached to the skin in order to detect the bio-signals of the sleeping subject, and each sensor is connected to the instrument body and wires. There are inconveniences and problems that must be present.

Patent Document 1: Korean Patent Publication No. 2017-0019805 (published on February 22, 2017) Patent Document 2: Korean Patent Publication No. 2010-0018975 (published on February 18, 2010)

The present invention is to solve the above problem, using a vibration sensor installed adjacent to the measurement target to determine whether the measurement target is sleeping, and to provide a sleep efficiency measuring method that can calculate the sleep efficiency of the measurement target from this The purpose.

In addition, the present invention can calculate and provide a practical and more accurate sleep efficiency for a measurement target in consideration of environmental information such as temperature, humidity, and illuminance during sleep. Based on the sleep efficiency of each measurement target, the optimal bedtime and The purpose of the present invention is to provide a sleep efficiency management method that can automatically inform the optimal wake-up time and set an alarm.

According to an embodiment of the present invention, there is provided a method for providing a time alarm based on sleep efficiency, the method comprising: extracting a bedtime and a wake-up time when the sleep efficiency is greater than or equal to a preset value, based on the individual accumulated sleep data of a measurement target; calculating an optimal bedtime and an optimal wakeup time from the extracted bedtime and wakeup time; setting a bedtime and wake-up time alarm based on the optimal bedtime and wake-up time; and providing the set bedtime and wake-up time alarms to the measurement target; discloses a method for providing a time alarm based on sleep efficiency, comprising: a.

According to the present invention, by using a vibration sensor installed adjacent to the measurement target to determine whether the measurement target is sleeping and to calculate the sleep efficiency, the measurement target can measure sleep data in an unconstrained state, so that more accurate sleep efficiency can be calculated. have.

In addition, the present invention can calculate and provide a practical and more accurate sleep efficiency for a measurement target in consideration of environmental information such as temperature, humidity, and illuminance during sleep. Based on the sleep efficiency of each measurement target, the optimal bedtime and It is possible to provide a sleep efficiency management method that can automatically notify the optimal wake-up time and set an alarm.

1 is a block diagram for explaining a sleep efficiency management system according to an embodiment of the present invention;
2 is a view for explaining an apparatus for measuring sleep efficiency according to an embodiment;
3 is a block diagram illustrating a controller according to an embodiment;
4 is a flowchart of a method for measuring sleep efficiency according to an embodiment;
5 is a flowchart of a method for determining whether to sleep using a vibration sensor according to an embodiment;
6 is a flowchart of a method of automatically alarming a bedtime and a wake-up time according to an embodiment.

The above objects, other objects, features and advantages of the present invention will be easily understood through the following preferred embodiments in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments described herein and may be embodied in other forms. The embodiments introduced herein are provided so that the disclosed content may be thorough and complete, and the spirit of the present invention may be sufficiently conveyed to those skilled in the art.

The terminology used herein is for the purpose of describing the embodiments and is not intended to limit the present invention. In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase. The expressions 'comprising', 'consisting of', and 'consisting of' as used in the specification do not exclude the presence or addition of one or more other elements in addition to the stated elements.

As used herein, the term 'software' refers to a technology that moves hardware in a computer, and the term 'hardware' refers to a tangible device or device (CPU, memory, input device, output device, peripheral device, etc.) constituting the computer. The term 'step' refers to a series of processing or manipulations connected in time series to achieve a predetermined goal, and the term 'program', 'application' or 'app' refers to a set of instructions that are combined to be processed by a computer And, the term 'program recording medium' means a computer-readable recording medium that records a program or app used to install, execute, or distribute a program or app.

Terms such as '~ unit', '~ module', and '~ unit' used in this specification to refer to elements of the invention may mean a physical, functional, or logical unit that processes at least one function or operation. may be implemented in one or more hardware or software or firmware, or may be implemented in a combination of one or more hardware, software, and/or firmware.

As used herein, a 'computer' or 'computing device' refers to an operating system such as Windows, Mac, or Linux, a computer processor, memory, applications, a storage device (eg HDD, SDD), and a device having a display can be The computer or computing device may be, for example, any device such as a desktop computer, a notebook computer, a server device, etc., and may also be one of a mobile terminal such as a smart phone, a tablet PC, or a PDA.

In the present specification, that component A transmits any signal, data or information to component B means that component A directly transmits to component B or component A transmits any signal, data, or information to component B through at least one or more other components. It is used in the sense of including transmission.

As used herein, that component A and component B are 'operatively' related to (or connected to) each other means that components A and B are wired and/or wirelessly connected to each other to transmit and/or receive data. can mean

As used herein, the term “measured data” refers to data measured by various sensors. For example, when the sleep efficiency management system according to the present invention includes a pressure sensor, a vibration sensor, a temperature sensor, a humidity sensor, and an illuminance sensor, the measured data may mean data measured by at least one of these sensors. have. In addition, the term "sleep data" as used herein is data that can be calculated or derived directly or indirectly from the measurement data, and is data related to the sleep state or sleep environment of the measurement target, for example, the measurement target It may include lying time, sleep time, sleep efficiency, and environmental information (eg, temperature, humidity, illuminance, etc.).

Hereinafter, the present invention will be described in detail with reference to the drawings. In describing the specific embodiments below, various specific contents have been prepared to more specifically describe the invention and help understanding. However, a reader having enough knowledge in this field to understand the present invention may recognize that it can be used without these various specific details. In some cases, it is mentioned in advance that parts that are commonly known and not largely related to the invention in describing the invention are not described in order to avoid confusion in describing the invention.

Figure 1 is a block diagram schematically showing a sleep efficiency management system according to an embodiment of the present invention, Figure 2 is a perspective view schematically showing a sleep efficiency measuring device 100 according to an embodiment. 1 and 2, in the embodiment, the sleep efficiency management system may include a sleep efficiency measuring device 100 and a management server 40 and database 50 that communicate with it by wire and/or wirelessly.

The sleep efficiency measuring device 100 may include a mattress 10 and a controller 20 and a cable 30 connecting the two. The mattress 10 may be placed on a mat (eg, a bed mat) of a subject to measure sleep efficiency (hereinafter referred to as a "measurement subject") and measure the pressure pressed by the subject to be measured. To this end, the mattress 10 in one embodiment includes a plurality of pressure sensors. In the illustrated embodiment, the mattress 10 may have a size of several tens of cm in width and length, respectively, and may be sized to at least partially cover the shoulder and back when the measurement target lies down.

In one embodiment, the mattress 10 is provided with a pressure sensor at predetermined intervals. For example, in FIG. 2 , a grid pattern is drawn at predetermined intervals on the mattress 10 , and one pressure sensor may be installed in each grid pattern inner region 11 . Each measurement value measured by the pressure sensor of the mattress 10 is transmitted to the controller 20 through the cable (30). In an embodiment, the controller 20 may calculate information such as a time that the measurement target is lying down, a wake-up time, and a sleeping posture (eg, degree of tossing and turning) from the measurement value of the pressure sensor according to time.

3 is a schematic block diagram of a controller 20 according to an embodiment. 1 to 3 , the controller 20 may include a sensor unit 21 , a data processing unit 22 , a connector 23 , a communication unit 24 , and a power supply unit 25 . In one embodiment, the sensor unit 21 includes a vibration sensor and an environmental sensor.

The vibration sensor may be implemented as an acceleration sensor, and may detect vibration by the measurement target and determine whether the measurement target is in a sleeping state from this. Since the vibration sensor is for measuring the movement of the subject to be measured, it is preferable that the controller 20 having the vibration sensor in one embodiment be arranged in close contact with the bed on which the subject to be measured is lying. Alternatively, in an alternative embodiment, the vibration sensor may be installed on the mattress 10 side. The environmental sensor is for measuring the sleeping environment, for example, in one embodiment, the environmental sensor may include a temperature sensor, a humidity sensor, and an illuminance sensor, and measures temperature, humidity, and illuminance, respectively.

The data processing unit 22 receives the measurement data from the various sensors described above, that is, the pressure sensor of the mattress 10 and the vibration sensor of the controller 20, the temperature sensor, the humidity sensor, and the illuminance sensor, and processes it to obtain sleep data Calculate. For example, the sleep data may include lying time, sleep time, sleep efficiency, and various environmental information (eg, temperature, humidity, illuminance, etc.) of the subject to be measured.

In one embodiment, the lying time of the subject to be measured can be calculated from the measurement data of the pressure sensor of the mattress (10). That is, by measuring the pressure change according to time of the pressure sensors distributed at grid intervals on the mattress 10, it is possible to determine whether the subject to be measured is lying or not to calculate the lying time of the subject to be measured.

In one embodiment, the sleep time of the subject to be measured may be calculated from the measurement data of the vibration sensor. The vibration sensor can measure the amount of minute movement of the subject, and can calculate sleep time by judging whether to sleep from this. An exemplary method for determining whether a person is sleeping from the measurement data of the vibration sensor will be described later with reference to FIG. 5 .

The connector 23 is a terminal for connecting the cable 30 , and the measured value of the pressure sensor of the mattress 10 is transmitted to the data processing unit 22 of the controller 20 through the cable 30 and the connector 23 . can be The communication unit 24 is a functional unit that allows the controller 20 to communicate with an external device such as the management server 40 through a wired and/or wireless communication network, for example, a mobile communication network, a dedicated IoT communication network, Wi-Fi, Bluetooth, BLE (low power consumption). Bluetooth), includes a device capable of communicating in one or more of a local area network such as NFC. In an embodiment, the sleep data calculated by the data processing unit 22 may be transmitted to the management server 40 through the communication unit 24 . The power supply unit 25 is a device for supplying power to the controller 20 and may include a battery or, when receiving power from the outside, may include an SMPS.

Referring back to FIG. 1 , the management server 40 may receive sleep data from the controller 20 , accumulate sleep data for each measurement target, and store it in the database 50 . The management server 40 may calculate data for each measurement target, such as corrected sleep efficiency, optimal environmental information, optimal wake-up time, and optimal bedtime, using the sleep data accumulated for each measurement target, and for this, FIGS. 6 will be described later.

4 is a flowchart of an exemplary method for measuring sleep efficiency, according to an embodiment. For the measurement of sleep efficiency, it is assumed that the measurement was carried out using the measurement time from the time the subject lay down on the bed to the time when he woke up. Referring to the drawings, first, measurement data collection through various sensors of the sleep efficiency measuring device 100 during the measurement time in step S110 is started. In one embodiment, each measurement data is collected from the vibration sensor and the environmental sensor provided in the pressure sensor and the controller 20 of the mattress 10 placed under the body of the subject to be measured. In this case, the environmental sensor may include, for example, a temperature sensor, a humidity sensor, and an illuminance sensor.

After that, when the measurement time elapses (that is, after the measurement target wakes up), in step S120 , the measurement target's lying time, sleep time, and environmental information are calculated from the collected measurement data. In one embodiment, the lying time may be calculated from the fluctuation of the pressure sensor during the measurement time, and the sleeping time may be calculated from the measurement data of the vibration sensor. In addition, the environmental information is information including temperature, humidity, and illuminance during sleep time, and each maximum / Data such as minimum and average values can be calculated.

Meanwhile, at this time, it is possible to determine whether the subject to be measured is sleeping from the measurement data of the vibration sensor and calculate the sleep time therefrom. An exemplary method for determining whether sleep is present is shown. Referring to FIG. 5 , in step S210 , acceleration is measured using a vibration sensor during the measurement time. At this time, the vibration sensor is a 3-axis acceleration sensor, and the acceleration can be measured in each of the X, Y, and Z-axis directions through the vibration sensor. Thereafter, the acceleration is integrated for each predetermined time unit (period) to calculate the speed and the movement amount (the movement amount of the subject to be measured) (S220). In this case, the predetermined time unit (period) may be preset to an arbitrary time such as 30 seconds or 1 minute, for example. If the predetermined time period is too short, it can be determined that the subject to be measured is awake even during instantaneous tossing and turning during sleep. It is preferable to set

Thereafter, the acceleration, speed, and movement amount calculated for each time period are input to the artificial neural network as input data (S230), and sleep status is output as output data (S240). Here, the artificial neural network may be an artificial neural network in which the measurement data of the vibration sensor is input data of each input node of the input layer and whether the subject to be measured is sleeping as the output node of the output layer. For example, the input layer of the artificial neural network is composed of input data using the acceleration, speed, and movement amount for each time period of the 3-axis acceleration sensor (vibration sensor) as input data, and the output layer is composed of two signals indicating sleep and non-sleep, respectively. It can consist of output nodes. In addition, the artificial neural network may include one or more hidden layers, and the number of nodes in each hidden layer may vary according to a specific embodiment.

As described above, by using the artificial neural network algorithm, it is possible to determine whether the measurement target is sleeping for each time period, and then add up all the time periods in which the measurement target is in the sleep state to calculate the sleep time of the measurement target.

Meanwhile, in order to implement such an artificial neural network algorithm, the artificial neural network is trained using the learning data in advance. For example, it is possible to generate learning data composed of input data and correct answer data by collecting measurement data from a vibration sensor at a predetermined time period for a plurality of measurement subjects and simultaneously collecting whether each measurement target sleeps or not. At this time, whether the subject to be measured sleeps or not may be input by the experimenter (or the manager) while directly observing whether the subject to be measured is sleeping, or a device for determining whether the subject is sleeping may be installed to determine whether the subject is sleeping through this device.

Also, in an alternative embodiment, other measurement data may be added as input data of the artificial neural network in addition to the measurement data of the vibration sensor. For example, the measured value of the pressure sensor of the mattress 10 may be further considered, and in this case, for example, the amount of change (the amount of change) of the pressure value measured by the pressure sensor for each time period may be further added as input data of the artificial neural network. . As another example, the sleep efficiency measuring device 100 may further include an acoustic sensor, the acoustic sensor measures the voice or breathing sound of the measurement target at a predetermined time period, and the measured acoustic data is used in another method of the artificial neural network. It can be added as input data.

Referring back to FIG. 4 , when the lying time, sleep time, and environmental information of the subject to be measured are calculated in step S120 , then the sleep efficiency of the subject to be measured is calculated in step S130 . In general, sleep efficiency can be calculated as (actual sleep time) / (total time lying down), and thus can be simply calculated from the lying time and sleep time calculated in the step (S120).

In an embodiment of the present invention, the sleep efficiency of the subject to be measured may be calculated by performing up to step S130 as above, and this may be known to the subject to be measured. However, in a preferred embodiment of the present invention, more accurate and practical sleep efficiency (hereinafter referred to as "corrected sleep efficiency") is further calculated in consideration of the environmental information during sleep of the subject to be measured to provide the corrected sleep efficiency to the subject to be measured. may be

As an exemplary method for calculating the corrected sleep efficiency, steps (S140) to (S160) may be further executed. That is, in step S140 , based on the accumulated sleep data for the subject to be measured, environmental information when the sleep efficiency of the subject to be measured is greater than or equal to a predetermined value is extracted as optimal environment information.

Here, the sleep data is various data calculated and calculated from the measured data measured by various sensors, and includes, for example, lying time, sleep time, sleep efficiency, and environmental information (temperature, humidity, illuminance, etc.) during sleep. It is assumed that these sleep data are stored in the database 50 for each measurement target.

In addition, since it is generally determined that the sleep efficiency is good when the sleep efficiency is 90% or more, the predetermined value of the sleep efficiency may be set to 90% in step S140, and of course this predetermined value may vary according to specific embodiments.

In this way, environmental information (ie, temperature, humidity, illuminance, etc.) of the sleep state when the sleep efficiency of the measurement target is the best can be extracted from the accumulated sleep data of the measurement target through step (S140), and the environment extracted in this way The information will be referred to as 'optimal environmental information'. In an embodiment, the optimal environment information may include data such as minimum/maximum values and average values for each of temperature, humidity, and illuminance.

After that, in step S150, the weight is calculated by comparing the environmental information measured when the measurement target is sleeping during the measurement time with the optimal environmental information. For example, if the respective values of temperature, humidity, and illuminance during sleep of the subject to be measured do not fall within the respective ranges of temperature, humidity, and illuminance of the optimal environmental information, a negative weight is created to lower the sleep efficiency value. As another example, if each value of temperature, humidity, and illuminance during sleep of the subject to be measured corresponds to the middle value of each range of temperature, humidity, and illuminance of the optimal environmental information, a positive weight may be generated to increase the sleep efficiency value. may be

In this way, when the weight is calculated through step (S150), the weight is reflected in the sleep efficiency calculated in step (S130) to calculate the corrected sleep efficiency (S160), and this corrected sleep efficiency is used as the actual sleep efficiency of the subject to be measured. It can be provided to the subject of measurement.

Meanwhile, in one embodiment of the present invention, a method of calculating the optimal bedtime and waking time for the subject to be measured using the sleep efficiency calculated in step S130 or step S160 of FIG. 4 and automatically alerting may be executed. . In this regard, Fig. 6 is a flowchart of an exemplary method for automatically alarming bedtime and wake-up time according to an embodiment.

Referring to FIG. 6 , in step S310 , based on the individual accumulated sleep data of the subject to be measured, a bedtime and a wake-up time when the sleep efficiency is equal to or greater than a preset value are extracted. For example, when the sleep efficiency is 90% or more, the bedtime and wake-up time are extracted. In an alternative embodiment, it is possible to extract the bedtime and wake-up time when the sleep efficiency is 90% or more, and at the same time extract environmental information (ie, temperature, humidity, illuminance, etc.). In this case, in an embodiment, the accumulated sleep data may be, for example, sleep data of the subject to be measured in a recent predetermined period (eg, the last 1 month, 3 months, or 6 months).

Thereafter, in step S320, an optimal bedtime and an optimal wake-up time are calculated from the extracted bedtime and wake-up time. For example, the average of the extracted bedtimes may be calculated as the optimal bedtime, and the average of the extracted wakeup times may be calculated as the optimal wakeup time. In addition, if the environmental information is also extracted in the previous step ( S310 ), the optimal environmental information for each environmental information can also be calculated in this step ( S320 ).

After that, in step S330, the optimal bedtime and optimal wake-up time may be provided to the measurement target and set as an automatic alarm. For example, when a predetermined sleep management app is installed on the smartphone of the subject to be measured, the optimal bedtime and wakeup time can be automatically set through the app, or the optimal bedtime and wakeup time can be set as a push notification on the smartphone. Also, in an alternative embodiment, optimal environment information may be provided together with optimal bedtime and wake-up time information.

After that, it may further include a function of updating the optimal bedtime and wake-up time as needed. For example, if it is configured to calculate the optimal bedtime and wake-up time based on the sleep data of the most recent three months of the subject, and at this time, for example, when the update cycle is set to one month, calculating the optimal bedtime and wake-up time (S320) ), it is determined whether it is a month after the execution (S340), and when the month has arrived, the process proceeds to step S310 again and executes steps (S310 to S330) based on the sleep data accumulated for the last 3 months to optimize An automatic alarm can be set by calculating a bedtime and an optimal wake-up time (and, if necessary, optimal environmental information). Accordingly, by updating the calculation of the optimal bedtime and wake-up time for each predetermined period as described above, it is possible to provide the optimal bedtime and wake-up time most appropriate to the current situation of the subject to be measured.

Although the embodiments of the present invention have been described with reference to the drawings as described above, those skilled in the art will understand that various modifications and variations are possible from the description of the above-described specification. Therefore, the scope of the present invention should not be limited to the described embodiments and should be defined by the claims described below as well as the claims and equivalents.

10: mattress 20: controller
30: cable 40: management server
50: database 100: sleep management measuring device

Claims (5)

As a method of providing a time alarm based on sleep efficiency,
(a) extracting a bedtime and a wake-up time when the sleep efficiency is greater than or equal to a preset value based on the individual accumulated sleep data of the measurement subject (S310);
(b) calculating an optimal bedtime and an optimal wake-up time from the extracted bedtime and wake-up time (S320);
(c) setting a bedtime and wake-up time alarm based on the optimal bedtime and wake-up time (S330); and
(d) providing the set bedtime and wake-up time alarms to the measurement target; The method according to claim 1, wherein before extracting the bedtime and waking time (S310),
Collecting each measurement data from the pressure sensor placed under the measurement object and the vibration sensor and the environmental sensor placed adjacent to the measurement object during the measurement time for the measurement object (S110);
Calculating the lying time, sleep time, and environmental information of the subject to be measured from the measurement data (S120); and
Calculating sleep efficiency from the lying time and sleep time (S130); Time alarm providing method based on sleep efficiency, characterized in that it further comprises a. 3. The method of claim 2,
The environmental sensor includes a temperature sensor, a humidity sensor, and an illuminance sensor, wherein the environmental information includes temperature, humidity, and illuminance, a method for providing a time alarm based on sleep efficiency. The method of claim 1,
In the step (S320) of calculating the optimal bedtime and optimal wake-up time, calculating optimal environmental information from environmental information when the sleep efficiency of the measurement target is greater than or equal to a predetermined value;
In the step of providing the bedtime and wake-up time alarms to the measurement target, the method for providing time alarms based on sleep efficiency, characterized in that the optimal environment information is also provided. The method of claim 1,
Determining whether the update time for the alarm setting of the bedtime and wake-up time has arrived (S340); includes;
When the update time has arrived, the method for providing a time alarm based on sleep efficiency, characterized in that the steps (a) to (c) are executed again.

Images