CN114129134B - Sleep difficulty identification and evaluation method based on intelligent mattress - Google Patents

Sleep difficulty identification and evaluation method based on intelligent mattress Download PDF

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Publication number
CN114129134B
CN114129134B CN202111451828.5A CN202111451828A CN114129134B CN 114129134 B CN114129134 B CN 114129134B CN 202111451828 A CN202111451828 A CN 202111451828A CN 114129134 B CN114129134 B CN 114129134B
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user
time
timing device
sleep
preset
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CN114129134A (en
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王炳坤
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De Rucci Healthy Sleep Co Ltd
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De Rucci Healthy Sleep Co Ltd
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A61B5/4809—Sleep detection, i.e. determining whether a subject is asleep or not
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A61B5/4815—Sleep quality
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
    • Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection

Abstract

The invention belongs to the technical field of sleep identification and evaluation, and discloses a sleep difficulty identification and evaluation method based on an intelligent mattress, which comprises the following steps: detecting whether a user lies on the intelligent mattress, and if so, carrying out the next step; detecting whether the brightness in the room is smaller than a first preset brightness value or not, and if so, carrying out the next step; the timing device starts timing, and the starting time of the timing device is recorded as T1; identifying whether the user falls asleep or not through the intelligent mattress, and if so, recording the time of falling asleep of the user as T2 by the timing device; and calculating the sleep latency T0 by the data processing platform, wherein T0 is T2-T1, and if T0 is longer than a first preset time length, judging that the user has a difficult sleep condition. The invention accurately evaluates whether the user has the condition of difficulty in falling asleep or not by setting the starting time T1 and the time T2 of the timing device.

Description

Sleep difficulty identification and evaluation method based on intelligent mattress
Technical Field
The invention relates to the technical field of sleep identification and evaluation, in particular to a sleep difficulty identification and evaluation method based on an intelligent mattress.
Background
In the clinical practice of medical care, the period of time that a user experiences from going to bed to falling asleep is referred to as sleep latency. When the duration of sleep latency exceeds 30 minutes, the user is generally considered to have a problem of difficulty falling asleep, which is an expression of insomnia.
Polysomnography (PSG), the most commonly used sleep monitoring tool, is the internationally accepted standard for diagnosing sleep problems. Typically, PSG needs to be performed in a specific sleep center (e.g. hospital, institute), where the subject sleeps overnight, with a large number of monitors being worn and specialized personnel being required to monitor. However, strange environments, discomfort in wearing the monitor, and high cost may result in dissatisfaction of the subject. In addition, insomnia occurs occasionally and needs to be monitored for a long time, so most users can detect the insomnia by purchasing an intelligent mattress, and the conventional intelligent mattress, for example, with application number of 202011478330.3, named as a function-linked intelligent mattress and a control method, can judge that the user is in a non-sleep state, a light sleep state and a deep sleep state through a controller, but the conventional intelligent mattress is not suitable for evaluating the difficulty level of falling asleep of the user and only can identify the sleep state of the user.
Disclosure of Invention
One object of the present invention is: the method for identifying and evaluating the sleeping difficulty based on the intelligent mattress accurately evaluates whether a user has sleeping difficulty conditions or not by setting the starting time T1 and the sleeping time T2 of a timing device.
In order to achieve the purpose, the invention adopts the following technical scheme:
a sleep difficulty identification and evaluation method based on an intelligent mattress comprises the following steps:
s100, detecting whether a user lies on the intelligent mattress, and if so, carrying out the next step;
s200, detecting whether the brightness in the room is smaller than a first preset brightness value or not, and if so, performing the next step;
s300, starting timing by a timing device, wherein the starting time of the timing device is recorded as T1;
s400, identifying whether the user falls asleep through the intelligent mattress, and if so, recording the time of falling asleep of the user as T2 by the timing device;
s500, calculating a sleep latency T0 through a data processing platform, wherein T0 is T2-T1, and if T0 is longer than a first preset time, judging that the user has a sleep difficulty condition.
As an optional technical solution, the first preset time period is 30 minutes.
As an optional technical solution, if it is detected that the smart mattress does not have a user lying down, the starting time T1 of the timing device in step S300 is reset to zero, and the process returns to step S100.
As an optional technical solution, if it is detected that the brightness in the room is greater than the first preset brightness value, the starting time T1 of the timing device in the step S300 is reset to zero, and the process returns to the step S100.
As an optional technical solution, after the step S200, the method further includes the following steps:
s201, detecting whether the brightness in the room is larger than the second preset brightness value and smaller than the first preset brightness value through a light sensor, if so, enabling the starting time T1 of the timing device to return to zero, and returning to the step S100.
As an optional technical solution, if the light sensor detects that the brightness in the room is smaller than the second preset brightness value, the step S300 is performed.
As an optional technical solution, the step S300 further includes the following steps:
s301, whether the intelligent terminal is in a charging state is detected through the wireless charging module, if yes, the timing device starts timing, and if not, the data processing platform judges that the intelligent terminal is missed in detection at night.
As an optional technical solution, the step S300 further includes the following steps:
and S302, recording the continuous charging time of the intelligent terminal through the timing device, and if the continuous charging time is less than a second preset time, enabling the starting time T1 of the timing device to return to zero, and returning to the step S100.
As an optional technical solution, the second preset time period is 60 minutes.
As an optional technical solution, in the step S302, if the duration of the continuous charging of the intelligent terminal is greater than the second preset duration, the charging time of the intelligent terminal is the starting time T1 of the timing device.
The invention has the beneficial effects that:
the invention provides a sleep difficulty identification and evaluation method based on an intelligent mattress, which is used for detecting whether a user lies on the intelligent mattress or not, and if so, carrying out the next step; detecting whether the brightness in the room is smaller than a first preset brightness value or not, and if so, performing the next step; the timing device starts timing, and the starting time of the timing device is recorded as T1; identifying whether the user falls asleep or not through the intelligent mattress, and if so, recording the falling asleep moment of the user as T2 by the timing device; and calculating a sleep latency period T0 by the data processing platform, wherein T0 is T2-T1, and if T0 is longer than a first preset time length, judging that the user has a difficult sleep condition. When a user lies on the intelligent mattress, the fact that the user is in bed is detected, when the brightness in a room is smaller than a first preset brightness, the user starts to sleep by default, the starting time T1 is recorded through the timing device, when the intelligent mattress recognizes that the user is in a deep sleep state, the timing device records the sleep time T2, the sleep latency T0 is obtained through processing of the data processing platform, and therefore whether the user has a difficult sleep condition or not is judged. The invention can eliminate the situation that a user lies on the intelligent mattress but is not ready to sleep, ensures that the timing device obtains the accurate starting time T1 and the accurate sleeping time T2, and accurately evaluates whether the user has the condition of difficulty in sleeping.
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The invention is explained in further detail below with reference to the figures and examples;
fig. 1 is a flowchart of a sleep difficulty assessment method according to an embodiment.
Detailed Description
In order to make the technical problems solved, technical solutions adopted and technical effects achieved by the present invention clearer, the technical solutions of the embodiments of the present invention will be further described in detail with reference to the accompanying drawings, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
In the description of the present invention, unless expressly stated or limited otherwise, the terms "connected," "connected," and "fixed" are to be construed broadly, e.g., as meaning permanently connected, removably connected, or integral to one another; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meanings of the above terms in the present invention can be understood in specific cases by those skilled in the art.
In the present invention, unless otherwise expressly stated or limited, "above" or "below" a first feature means that the first and second features are in direct contact, or that the first and second features are not in direct contact but are in contact with each other via another feature therebetween. Also, the first feature being "on," "above" and "over" the second feature includes the first feature being directly on and obliquely above the second feature, or merely indicating that the first feature is at a higher level than the second feature. The first feature being "under," "below," and "beneath" the second feature includes the first feature being directly under and obliquely below the second feature, or merely means that the first feature is less than the second feature at a horizontal height.
In the description herein, it is to be understood that the terms "upper," "lower," "left," "right," and the like are based on the orientation or positional relationship shown in the drawings for convenience in description and simplicity of operation, and do not indicate or imply that the referenced device or element must have a particular orientation, be constructed and operated in a particular orientation, and are not to be considered limiting of the present invention. Furthermore, the terms "first" and "second" are used merely for descriptive purposes and are not intended to have any special meaning.
In the description herein, references to the description of "an embodiment," "an example" or the like mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example.
The technical scheme of the invention is further explained by the specific implementation mode in combination with the attached drawings.
The embodiment provides a sleep difficulty identification and evaluation method based on an intelligent mattress, which comprises the following steps:
s100, detecting whether a user lies on the intelligent mattress, and if so, carrying out the next step;
s200, detecting whether the brightness in the room is smaller than a first preset brightness value or not, and if so, carrying out the next step;
s300, starting timing by a timing device, wherein the starting time of the timing device is recorded as T1;
s400, identifying whether the user falls asleep through the intelligent mattress, and if so, recording the time of falling asleep of the user as T2 by the timing device;
and S500, calculating a sleep latency T0 through the data processing platform, wherein T0 is T2-T1, and if T0 is longer than a first preset time length, judging that the user has a sleep difficulty condition.
Some users have a habit of lying in bed to read books before sleeping, and the users need to turn on the illuminating lamps in rooms when reading books, so that the time of the users reading books on the intelligent mattress is not included in the sleep latency T0, the time of the users reading books when lying in the intelligent mattress is eliminated, and the accuracy of evaluation is guaranteed.
In the embodiment, the intelligent mattress is provided with the pressure sensor, and the pressure sensor can detect whether a user lies on the intelligent mattress; in other embodiments, an air pressure sensor is arranged in the air bag of the intelligent mattress, and the air pressure sensor can detect the air pressure in the air bag, so as to judge whether a user lies on the intelligent mattress. Whether a user lies on the mattress is detected by adopting a pressure sensor or an air pressure sensor, the structure and the principle of the mattress are the prior art in the field, and the detailed description is omitted.
In the embodiment, a light sensor is further arranged in a room where the intelligent mattress is placed, and the light sensor can detect whether the brightness in the room is smaller than a first preset brightness value; in other embodiments, a voltage battery detection device is disposed on a line electrically connected to the illumination lamp, and is configured to detect whether the illumination lamp is powered on, and if the illumination lamp is powered on, determine that the brightness in the room is greater than a first preset brightness value. The structure and principle of the light sensor and the voltage battery detection device for detecting whether the lighting lamp is electrified are the prior art, and are not described herein again.
Specifically, when a user lies on the intelligent mattress, the pressure sensor can detect that the user is going to bed, but the user has the situation of turning on the light to read a book at the moment, when the light sensor detects that the brightness in the room is smaller than the first preset brightness, the light in the room is turned off, namely the user is defaulted to sleep, the starting time T1 is recorded through the timing device, when the intelligent mattress recognizes that the user is asleep, namely the user is in a deep sleep state, the timing device records the time T2 of the sleep, and the sleep latency T0 is obtained through processing of the data processing platform, so that whether the user has a difficult sleep condition is judged. The embodiment can eliminate the situation that a user lies on the intelligent mattress but is not ready to sleep, ensures that the timing device obtains accurate starting time T1 and falling asleep time T2, and accurately evaluates whether the user has a difficult falling asleep condition. And the sleep difficulty identification and assessment method is based on the existing intelligent mattress for detection, is convenient to apply, is wide in application population and has good popularization.
In this embodiment, the intelligent mattress capable of identifying whether the user falls asleep is an existing product, and this embodiment is not described again one by one.
In this embodiment, the structure and principle of the timing device are the prior art, and the details of this embodiment are not repeated.
In this embodiment, the data processing platform is a big data processing system, and the big data processing system is the prior art, and details are not repeated in this embodiment.
Optionally, the first preset time period is 30 minutes.
Alternatively, if the pressure sensor detects that the smart mattress is not lying with the user, the activation time T1 of the timing device in step S300 is reset to zero, and the process returns to step S100. In some practical cases, even if the brightness in the room is less than the first preset brightness value, it may be that the user leaves the intelligent mattress without turning on the light, and the user cannot be acquiescently determined to start sleeping, and the starting time T1 of the timing device is set to zero, so that the accurate starting time T1 can be ensured.
Optionally, if the light sensor detects that the brightness in the room is greater than the first preset brightness value, the starting time T1 of the timing device in step S300 is set to zero, and the process returns to step S100. In some practical cases, the user needs to leave the intelligent mattress shortly after lying down, for example, go to a toilet after turning on the light, and the user cannot be acquiescently determined to start sleeping, so that the starting time T1 of the timing device is zeroed, and the accurate starting time T1 can be guaranteed.
Optionally, the first preset brightness value is greater than the second preset brightness value, and after step S200, the method further includes the following steps: s201, detecting whether the brightness in the room is larger than a second preset brightness value and smaller than a first preset brightness value through a light sensor, if so, enabling the starting time T1 of the timing device to return to zero, and returning to the step S100.
Some users have a habit of using a smart phone before sleeping, and when using the smart phone, a screen of the smart phone is illuminated, and the brightness of an illuminating lamp is far greater than that of the screen of the smart phone, so that when a user lies on the smart mattress, the pressure sensor can detect that the user gets into the bed, and the light sensor can detect that the illuminating lamp in a room in the room is turned off, but actually, the user is using the smart phone at the moment, in order to avoid that the time of using the smart phone by the user on the smart mattress is counted into the sleep latency T0, the embodiment eliminates the time of using the smart phone by the user on the smart mattress, and ensures the accuracy of evaluation.
Optionally, if the light sensor detects that the brightness in the room is less than the second preset brightness value, step S300 is performed. When the light sensor detects that the brightness in the room is smaller than a second preset brightness value, the user turns off the smart phone, namely, the user starts to sleep by default.
Optionally, step S300 further includes the following steps: s301, whether the intelligent terminal is in a charging state or not is detected through the wireless charging module, if yes, the timing device starts timing, and if not, the data processing platform determines that the intelligent terminal is missed in detection at night. When the user no longer uses the smart phone, place it on wireless charging module, wireless charging module charges the smart phone. In the embodiment, the wireless charging module is arranged on the intelligent mattress, so that a user can pick up the intelligent terminal without leaving the intelligent mattress; in other embodiments, the wireless charging module is disposed on the bedside table.
The intelligent terminal can be selected to be a smart phone, the wireless charging module can be selected to be a wireless charger, the smart phone and the wireless charger are both existing products, and the intelligent terminal and the wireless charger are not repeated one by one. When the user no longer used the smart mobile phone, place the smart mobile phone and can charge on wireless charging module, need not stand up and leave intelligent mattress for the user can keep drowsiness.
Optionally, step S300 further includes the following steps: and S302, recording the continuous charging time of the intelligent terminal through the timing device, and if the continuous charging time is less than a second preset time, enabling the starting time T1 of the timing device to return to zero, and returning to the step S100. The second preset time period may be set according to a time period required by the full charge of the intelligent terminal, for example, the second preset time period is 60 minutes. When the charging duration of the continuous bed of the smart phone is less than the second preset duration, the default is that the user only wants to continue to use the smart phone after charging instead of preparing to start sleeping, so the starting time T1 of the timing device needs to be reset to zero again, and the evaluation error is reduced.
Optionally, in step S302, if the duration of the continuous charging of the intelligent terminal is greater than a second preset duration, the charging time of the intelligent terminal is the starting time T1 of the timing device. In some cases, the user starts sleeping after placing the smartphone on the wireless charging module, and the falling-asleep time T2 and the waking time are both within the second preset time period. For example, when the user places the smart phone on the wireless charging module for charging in the first minute, the start time T1 is eleven minutes night to sleep, the user falls asleep in the twentieth minute, that is, the fall-asleep time T2 is eleven twenty minutes night, the user wakes up in the eighty minute and continues to use the smart phone, therefore, the charging time of the smart phone is the start time T1 of the timing device, that is, eleven minutes night, the sleep latency T0 of the user can be accurately detected to be nineteen minutes, and it is determined that the user does not have the condition of difficulty falling asleep.
In addition, the foregoing is only the preferred embodiment of the present invention and the technical principles applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions without departing from the scope of the invention. Therefore, although the present invention has been described in more detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (8)

1. A sleep difficulty identification and evaluation method based on an intelligent mattress is characterized by comprising the following steps:
s100, detecting whether a user lies on the intelligent mattress, and if so, carrying out the next step;
s200, detecting whether the brightness in the room is smaller than a first preset brightness value, and if so, carrying out the next step;
s300, starting timing by a timing device, wherein the starting time of the timing device is recorded as T1;
s400, identifying whether the user falls asleep through the intelligent mattress, and if so, recording the time of falling asleep of the user as T2 by the timing device;
s500, calculating a sleep latency T0, T0= T2-T1 through a data processing platform, and if the T0 is longer than a first preset time length, judging that the user has a sleep difficulty condition;
the step S300 further includes the steps of:
s301, detecting whether the intelligent terminal is in a charging state through a wireless charging module, if so, starting timing by the timing device, and if not, judging that the detection is missed at night by the data processing platform;
s302, recording the continuous charging time of the intelligent terminal through the timing device, and if the continuous charging time is less than a second preset time, enabling the starting time T1 of the timing device to return to zero, and returning to the step S100.
2. The method for assessing sleep difficulties according to claim 1 wherein the first predetermined period of time is 30 minutes.
3. The method for assessing sleep difficulty assessment according to claim 1, wherein if it is detected that the smart mattress is not lying with a user, the starting time T1 of the timing device in step S300 is reset to zero, and the method returns to step S100.
4. The method for assessing the difficulty level of falling asleep according to claim 1, wherein if it is detected that the brightness in the room is greater than the first preset brightness value, the starting time T1 of the timing device in step S300 is set to zero, and the method returns to step S100.
5. The method for assessing the difficulty in falling asleep according to claim 1, wherein the first preset brightness value is greater than the second preset brightness value, and after the step S200, the method further comprises the steps of:
s201, detecting whether the brightness in the room is greater than the second preset brightness value and smaller than the first preset brightness value through a light sensor, if so, enabling the starting time T1 of the timing device to return to zero, and returning to the step S100.
6. The method for assessing sleep-onset difficulties according to claim 5, wherein the step S300 is performed if the light sensor detects that the brightness in the room is less than the second preset brightness value.
7. The method for assessing sleep difficulties according to claim 6 wherein the second predetermined period of time is 60 minutes.
8. The method for assessing sleep-onset difficulties according to claim 6, wherein in the step S302, if the duration of the charging of the intelligent terminal is greater than the second preset duration, the charging time of the intelligent terminal is the starting time T1 of the timer.
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Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101227858A (en) * 2005-07-26 2008-07-23 松下电工株式会社 Illumination and sleep evaluation system

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US10939866B2 (en) * 2017-12-12 2021-03-09 Koninklijke Philips N.V. System and method for determining sleep onset latency

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101227858A (en) * 2005-07-26 2008-07-23 松下电工株式会社 Illumination and sleep evaluation system

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