CN114675556B - Personalized sleep-aiding intelligent pillow device and control method - Google Patents
Personalized sleep-aiding intelligent pillow device and control method Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 28
- 230000007958 sleep Effects 0.000 claims abstract description 249
- 238000012545 processing Methods 0.000 claims abstract description 63
- 230000005284 excitation Effects 0.000 claims abstract description 51
- 230000007613 environmental effect Effects 0.000 claims abstract description 32
- 238000012544 monitoring process Methods 0.000 claims abstract description 25
- 230000004044 response Effects 0.000 claims abstract description 17
- 230000036541 health Effects 0.000 claims description 55
- 210000004556 brain Anatomy 0.000 claims description 39
- 230000036760 body temperature Effects 0.000 claims description 31
- 238000001228 spectrum Methods 0.000 claims description 20
- 230000029058 respiratory gaseous exchange Effects 0.000 claims description 15
- 238000001514 detection method Methods 0.000 claims description 10
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 7
- 229910052760 oxygen Inorganic materials 0.000 claims description 7
- 239000001301 oxygen Substances 0.000 claims description 7
- 230000005540 biological transmission Effects 0.000 claims description 5
- 230000000147 hypnotic effect Effects 0.000 claims description 3
- 206010063385 Intellectualisation Diseases 0.000 abstract description 3
- 230000001276 controlling effect Effects 0.000 description 10
- 230000001105 regulatory effect Effects 0.000 description 5
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- 208000013738 Sleep Initiation and Maintenance disease Diseases 0.000 description 1
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- 230000037396 body weight Effects 0.000 description 1
- 238000013499 data model Methods 0.000 description 1
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- 230000005059 dormancy Effects 0.000 description 1
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- 239000000945 filler Substances 0.000 description 1
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- 230000009323 psychological health Effects 0.000 description 1
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The embodiment of the application provides a personalized sleep-aiding intelligent pillow device and a control method. The device comprises: the environmental control acquisition module is used for monitoring the indoor environment condition and acquiring environment parameters; the human body acquisition module is used for monitoring the sleep state of the human body and acquiring sleep parameters of a user; the processing module is connected with the environmental control acquisition module and the human body acquisition module and is used for processing acquired parameters; the instruction module is connected with the processing module and used for generating corresponding instructions for the received processing data of the processing module; the control module is connected with the instruction module and is used for generating a control command according to the received instruction and controlling the excitation response module; the excitation response module is connected with the control module and the human body acquisition module and is used for responding and exciting the five sub-modules according to the control command of the control module; the display module is connected with the processing module and the implementation control module and is used for displaying parameters received by the processing module and control commands of the control module; therefore, the intelligent pillow device capable of collecting the sleep state parameters of the user and processing and generating the instructions for excitation and display in combination with the environmental parameters is realized, the control method is correspondingly realized, individuation and intellectualization of the intelligent pillow are improved, and user experience is improved.
Description
Technical Field
The application relates to the technical field of intelligent household articles and intelligent control, in particular to a personalized sleep-aiding intelligent pillow device and a control method.
Background
Along with the acceleration of the life rhythm of residents, particularly the increase of the pressure of new middle-aged products, the sleep quality of the residents in the city is not good, the insomnia condition under the superposition of multiple factors is more and more common, the physical health of the residents is greatly influenced, and how to effectively improve the sleep quality has important value for improving the physical and psychological health of the residents and the life satisfaction degree.
The pillow is necessary for sleeping, the quality or performance of the pillow directly determines the sleeping quality of people, the current pillow only focuses on the touch feeling of a user, the eyesight is limited on improving the filler and the supporting function, the pillow does not have the function of personalized adjustment according to the difference of different users or the different sleeping states and physical conditions of each user, and the intelligent pillow capable of being intelligently adjusted according to the sleeping conditions and physical conditions of the users is not provided, so that a personalized and intelligent pillow product is designed to be in the future direction, the pillow does not have the design at present, and the market also lacks the intelligent product to meet the increasingly-increasing living demands of residents.
Therefore, in order to solve the above-mentioned problems, a related technology is needed to realize a multifunctional pillow capable of realizing human body excitation, music playing, environment changing, etc. by using a processing module of a system program through a wireless connection technology such as bluetooth.
Disclosure of Invention
The embodiment of the application aims to provide a personalized sleep-aiding intelligent pillow device and a control method, which can realize personalized and intelligent regulation and control of the pillow and improve user experience.
The embodiment of the application also provides a personalized sleep-aiding intelligent pillow device, which comprises:
the environmental control acquisition module is used for monitoring the indoor environment condition and acquiring environment parameters;
the human body acquisition module is used for monitoring the sleep state of the human body and acquiring sleep parameters of a user;
the processing module is connected with the environmental control acquisition module and the human body acquisition module and is used for processing acquired parameters;
the instruction module is connected with the processing module and used for generating corresponding instructions for the received processing data of the processing module;
the control module is connected with the instruction module and used for generating a control command according to the received instruction and controlling the excitation response module;
the excitation response module is connected with the control module and the human body acquisition module and comprises five sub-modules, and is used for responding excitation to the five sub-modules according to the control command of the control module;
and the display module is connected with the processing module and the control module and is used for displaying the parameters received by the processing module and the control command of the control module.
Optionally, in the personalized sleep-aiding intelligent pillow device described in the embodiments of the present application, the environmental control collection module further includes:
and acquiring environmental parameters including time, room temperature, humidity and season data according to the indoor environment in which the user is located.
Optionally, in the personalized sleep-aiding intelligent pillow device according to the embodiment of the present application, the human body acquisition module further includes:
collecting sleep parameters and physical condition parameters of a user;
the third-party medical platform is connected with the third-party medical platform;
collecting, by the third-party medical platform, the physical condition parameters of the user, including: sleep health parameters and cervical health parameters.
Optionally, in the personalized sleep-aiding intelligent pillow device according to the embodiment of the present application, the sleep parameters of the user include a sleep posture parameter, a body temperature parameter, an brain wave parameter, a respiration parameter, a heart rate parameter, and a weight parameter of the user.
Optionally, in the personalized sleep-aiding intelligent pillow device according to the embodiment of the present application, the incentive response module further includes:
the gesture regulation and control submodule, the audio excitation submodule, the oxygen regulation and control submodule, the body temperature regulation and control submodule and the brain wave excitation submodule are controlled according to the control command of the control module;
the excitation data after excitation of the five sub-modules are transmitted to the human body acquisition module and then transmitted to the processing module.
Optionally, in the personalized sleep-aiding intelligent pillow device described in the embodiments of the present application, the method further includes:
the processing module is connected with the third-party sleep information data platform and is used for carrying out two-way transmission of database encryption uploading and encryption downloading with the third-party sleep information data platform.
In a second aspect, an embodiment of the present application provides a method for controlling a personalized sleep-aiding intelligent pillow, which is applied to a personalized sleep-aiding intelligent pillow device as described above, and includes the following steps:
acquiring sleep parameters and sleep health parameters and cervical vertebra health parameters of a user;
acquiring a sleep characteristic portrait of the user according to the sleep parameters, the sleep health parameters and the cervical vertebra health parameters of the user;
inquiring a sleep information data set of the user in a sleep information database according to the sleep characteristic portrait;
acquiring sleep characteristic data of a user according to the sleep information data set and the environment parameters;
and exciting the user according to the sleep characteristic data and monitoring the sleep parameters of the user after excitation.
Optionally, in the method for controlling a personalized sleep-aiding intelligent pillow according to the embodiment of the present application, the obtaining the sleep feature portrait of the user according to the sleep parameter, the sleep health parameter and the cervical vertebra health parameter of the user includes:
and generating a sleep characteristic portrait of the user in a sleep dynamic monitoring model according to the sleep posture parameter, the body temperature parameter, the brain wave parameter, the breathing parameter, the heart rate parameter, the weight parameter, the sleep health parameter and the cervical vertebra health parameter of the user.
Optionally, in the method for controlling a personalized sleep-aiding intelligent pillow according to the embodiment of the present application, the querying, in a sleep information database, a sleep information data set of the user according to the sleep feature portrait includes:
acquiring a sleep mimicry data set according to the sleep characteristic portrait of the user;
the sleep mimicry data set comprises heart rate respiration data, brain fluctuation data and body temperature steady state data of the user;
threshold value comparison is carried out according to the data of the sleep mimicry data set and sample data in the sleep information database;
acquiring a sleep information data set corresponding to the user according to a threshold comparison result;
the sleep information data set comprises sleep steady state data, brain wave frequency spectrum data and body state constant temperature data.
Optionally, in the method for controlling a personalized sleep-aiding intelligent pillow according to the embodiment of the present application, the acquiring sleep characteristic data of the user according to the sleep information dataset in combination with the environmental parameter includes:
according to the established sleep health detection model;
inputting the weight parameter, the hypnotic steady-state data, the brain wave frequency spectrum data, the body state constant temperature data and the environment parameter of the user into the sleep health detection model to obtain sleep characteristic data;
the sleep characteristic data includes steady state electroencephalogram spectrum, steady state body temperature, cervical elevation angle, and steady state heart rate.
From the above, the personalized sleep-aiding intelligent pillow device provided by the embodiment of the application is used for monitoring the indoor environment condition and collecting the environment parameters through the environmental control collecting module; the human body acquisition module is used for monitoring the sleep state of the human body and acquiring sleep parameters of a user; the processing module is connected with the environmental control acquisition module and the human body acquisition module and is used for processing acquired parameters; the instruction module is connected with the processing module and used for generating corresponding instructions for the received processing data of the processing module; the control module is connected with the instruction module and is used for generating a control command according to the received instruction and controlling the excitation response module; the excitation response module is connected with the control module and the human body acquisition module and is used for responding and exciting the five sub-modules according to the control command of the control module; the display module is connected with the processing module and the control module and is used for displaying parameters received by the processing module and control commands of the control module; the personalized sleep-aiding intelligent pillow control method applied to the device is characterized in that sleep parameters, sleep health parameters and cervical vertebra health parameters of a user are obtained; acquiring sleep characteristic portraits of the user according to the sleep parameters, the sleep health parameters and the cervical vertebra health parameters of the user; inquiring a sleep information data set of the user in a sleep information database according to the sleep feature portraits; acquiring sleep characteristic data of a user according to the sleep information data set and the environmental parameters; exciting the user according to the sleep characteristic data and monitoring sleep parameters of the user after excitation; therefore, the intelligent pillow device capable of collecting the sleep state parameters of the user and processing and generating the instructions for excitation and display in combination with the environmental parameters is realized, the control method is correspondingly realized, individuation and intellectualization of the intelligent pillow are improved, and user experience is improved.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the embodiments of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of a personalized sleep-aiding intelligent pillow device according to an embodiment of the present application;
fig. 2 is a flowchart of a personalized sleep-aiding intelligent pillow control method according to an embodiment of the present application;
FIG. 3 is a flowchart of a method for controlling a personalized sleep-aiding intelligent pillow according to an embodiment of the present application;
fig. 4 is a flowchart of a personalized sleep-aiding intelligent pillow control method according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a personalized sleep-aiding intelligent pillow device according to some embodiments of the present application. This individualized intelligent pillow device that helps dormancy includes:
the environmental control acquisition module is used for monitoring the indoor environment condition and acquiring environment parameters;
the human body acquisition module is used for monitoring the sleep state of the human body and acquiring sleep parameters of a user;
the processing module is connected with the environmental control acquisition module and the human body acquisition module and is used for processing acquired parameters;
the instruction module is connected with the processing module and used for generating corresponding instructions for the received processing data of the processing module;
the control module is connected with the instruction module and used for generating a control command according to the received instruction and controlling the excitation response module;
the excitation response module is connected with the control module and the human body acquisition module and comprises five sub-modules, and is used for responding excitation to the five sub-modules according to the control command of the control module;
and the display module is connected with the processing module and the control module and is used for displaying the parameters received by the processing module and the control command of the control module.
Preferably, the environmental control collection module further includes:
and acquiring environmental parameters including time, room temperature, humidity and season data according to the indoor environment in which the user is located.
Preferably, the human body acquisition module further comprises:
collecting sleep parameters and physical condition parameters of a user;
the third-party medical platform is connected with the third-party medical platform;
collecting, by the third-party medical platform, the physical condition parameters of the user, including: sleep health parameters and cervical health parameters.
Preferably, the sleep parameters of the user include sleep posture parameters, body temperature parameters, brain wave parameters, respiratory parameters, heart rate parameters and weight parameters of the user.
Preferably, the excitation response module further includes:
the gesture regulation and control submodule, the audio excitation submodule, the oxygen regulation and control submodule, the body temperature regulation and control submodule and the brain wave excitation submodule are controlled according to the control command of the control module;
the excitation data after excitation of the five sub-modules are transmitted to the human body acquisition module and then transmitted to the processing module.
Preferably, the method further comprises:
the processing module is connected with the third-party sleep information data platform and is used for carrying out two-way transmission of database encryption uploading and encryption downloading with the third-party sleep information data platform.
In the embodiment, the intelligent pillow realizes characteristic parameter acquisition and environment parameter acquisition of the sleep state of a user through connection control of a plurality of modules, monitors the indoor environment condition through the environmental control acquisition module and acquires environment parameters including time, room temperature, humidity and season data; the human body acquisition module monitors the sleep state of a human body and acquires physical condition parameters of a user, including sleep health parameters and cervical vertebra health parameters, and the sleep parameters comprise sleep posture parameters, body temperature parameters, brain wave parameters, respiratory parameters, heart rate parameters and weight parameters of the user through the third-party medical platform; the processing module is connected with the environmental control acquisition module and the human body acquisition module and is used for processing acquired parameters; the instruction module is connected with the processing module and used for generating corresponding instructions for the received processing data of the processing module; the control module is connected with the instruction module and is used for generating a control command according to the received instruction and controlling the excitation response module; the excitation response module is connected with the control module and the human body acquisition module and comprises five sub-modules, namely an attitude regulation sub-module, an audio excitation sub-module, an oxygen regulation sub-module, a body temperature regulation sub-module and an brain wave excitation sub-module, and is used for responding to and exciting the five sub-modules according to a control command of the control module, transmitting excitation data excited by the five sub-modules to the human body acquisition module and then transmitting the excitation data to the processing module; the display module is connected with the processing module and the implementation control module and is used for displaying parameters received by the processing module and control commands of the control module; the processing module is connected with the third-party sleep information data platform and is used for carrying out two-way transmission of database encryption uploading and encryption downloading with the third-party sleep information data platform.
In this embodiment, the intelligent pillow is controlled by a built-in system or an APP program, and hardware devices of each module of the device, such as an oxygen generator, a music player, a temperature regulator, a posture regulator and a brain wave exciter, are linked and perform related data acquisition and signal control interaction by wireless bluetooth or wired transmission, and an instruction is generated to a control module by acquiring and processing data, so that the functions of improving the sleep quality of a human body and monitoring, checking and improving the effect are realized by the excitation of the human body by cervical vertebra sleeping posture regulation, music playing, air instruction improvement and temperature regulation.
Referring to fig. 2, fig. 2 is a flowchart of a personalized sleep-aiding intelligent pillow control method according to some embodiments of the present application. The personalized sleep-aiding intelligent pillow control method is applied to the personalized sleep-aiding intelligent pillow device, and comprises the following steps:
s101, acquiring sleep parameters and sleep health parameters and cervical vertebra health parameters of a user;
s102, acquiring a sleep characteristic portrait of the user according to the sleep parameters, the sleep health parameters and the cervical vertebra health parameters of the user;
s103, inquiring a sleep information data set of the user in a sleep information database according to the sleep feature portrait;
s104, acquiring sleep characteristic data of the user according to the sleep information data set and the environment parameters;
s105, exciting the user according to the sleep characteristic data and monitoring the sleep parameters of the user after excitation.
In order to meet the regulation and control requirements of the user on the intelligent pillow, the sleep parameters, the sleep health parameters and the cervical vertebra health parameters of the user are acquired to generate a sleep characteristic image of the user, then a sleep information data set of the user is queried in a sleep information database according to the data of the sleep characteristic image, the sleep characteristic data of the user is acquired according to the sleep information data set and the acquired environment parameters, the user is stimulated according to the sleep characteristic data, the sleep parameters of the user after the stimulation are monitored, the effect of the stimulation on the user is checked, the sleep stimulation regulation data suitable for the user is acquired by acquiring the sleep parameters and the health parameters of the user and combining the environment parameters, the intelligent pillow is regulated according to the regulation data to complete the adaptive regulation and control on the sleep state of the user, the intelligent pillow regulation and control in the scheme generally comprises the regulation and control of the cervical vertebra elevation angle, the brain spectrum stimulation and the body temperature regulation according to the sleep state of the user, and the obtained sleep characteristic data are regulated to optimize the sleep state of the user.
According to an embodiment of the present invention, the obtaining a sleep feature portrait of a user according to sleep parameters, sleep health parameters and cervical vertebra health parameters of the user includes:
and generating a sleep characteristic portrait of the user in a sleep dynamic monitoring model according to the sleep posture parameter, the body temperature parameter, the brain wave parameter, the breathing parameter, the heart rate parameter, the weight parameter, the sleep health parameter and the cervical vertebra health parameter of the user.
In this scheme, the sleep dynamic monitoring model is a data model for describing the sleep condition of the user according to the sleep characteristic data and parameters of the user by a third party sleep information data platform, and the sleep characteristic image is obtained by acquiring a great number of sleep posture parameters, body temperature parameters, brain wave parameters, respiratory parameters, heart rate parameters, weight parameters, sleep health parameters and cervical vertebra health parameters of the user and training the sleep dynamic monitoring model.
Referring to fig. 3, fig. 3 is a flowchart of a personalized sleep-aiding intelligent pillow control method according to some embodiments of the present application. According to the embodiment of the invention, the sleep information data set of the user is queried in the sleep information database according to the sleep characteristic portrait, specifically:
s201, acquiring a sleep mimicry data set according to the sleep characteristic portrait of the user;
s202, the sleep mimicry data set comprises heart rate breathing data, brain fluctuation data and body temperature steady state data of the user;
s203, comparing the data of the sleep mimicry data set with sample data in the sleep information database according to a threshold value;
s204, acquiring a sleep information data set corresponding to the user according to a threshold comparison result;
s205, the sleep information data set includes sleep steady state data, brain wave frequency spectrum data and body state constant temperature data.
In order to obtain characteristic data capable of measuring steady-state sleep of a user, threshold comparison is performed according to sample data in a sleep information database, a sample meeting a threshold comparison result is taken as a target sample, a plurality of sleep information data of the target sample are taken as sleep information data sets of the user, specifically, sleep mimicry data sets of the user, including heart rate breathing data, brain wave data and body temperature steady-state data of the user, are extracted through sleep feature portraits of the user, the sleep mimicry data sets are subjected to threshold comparison with the samples in the sleep information database, the samples meeting threshold comparison requirements are obtained as target samples, the heart rate breathing data, the brain wave data and the body temperature steady-state data of the screening samples meet a threshold range which is greater than 98% of corresponding data of the user, the samples are selected as target samples, and the sleep information data sets of the target samples are taken as the sleep information data sets of the user, wherein the sleep mimicry data sets comprise sleep steady-state data, brain wave frequency spectrum data and steady-state constant temperature data.
Referring to fig. 4, fig. 4 is a flowchart of a personalized sleep-aiding intelligent pillow control method according to some embodiments of the present application. According to an embodiment of the present invention, the acquiring sleep characteristic data of the user according to the sleep information data set in combination with the environmental parameter specifically includes:
s301, according to the established sleep health detection model;
s302, inputting body weight parameters, hypnotic steady-state data, brain wave frequency spectrum data, body state constant temperature data and the environment parameters of the user into the sleep health detection model to obtain sleep characteristic data;
s303, the sleep characteristic data comprise a steady state electroencephalogram frequency spectrum, a steady state body temperature, a cervical vertebra elevation angle and a steady state heart rate.
It should be noted that, the data in the sleep information data set includes sleep steady-state data, brain wave frequency spectrum data and body constant temperature data, the sleep steady-state data is data reflecting the sleep state of the user, the brain wave frequency spectrum data is data reflecting the brain wave frequency activity level of the user, the body constant temperature data is data reflecting the sleep posture and body temperature variation of the user, the sleep characteristic data including steady-state brain wave spectrum, steady-state body temperature, cervical vertebra elevation angle and steady-state heart rate are obtained by inputting the sleep steady-state data, brain wave frequency spectrum data and body constant temperature data to the sleep health detection model in combination with the acquired environmental parameters, namely, a plurality of steady-state sleep characteristic data adapted to the individual and environmental states of the user, wherein the sleep health detection model is obtained by training in accordance with a large amount of user history data, the result is accurate, the sleep health detection model in this embodiment is trained by inputting the sample data of the history user as the set parameters, the sleep characteristic data, the sleep steady-state data, the brain wave frequency spectrum data, the cervical vertebra elevation angle and the environmental parameters are processed in combination with the acquired environmental parameters, the sleep characteristic data is processed to obtain the accurate result, and the accurate result is obtained by setting the accurate result if the sleep characteristic data is set to be the accurate, and the accurate result is obtained by setting the accurate result is the accurate if the sleep characteristic is set to the accurate in the sleep detection model is set to be the threshold.
According to an embodiment of the present invention, further comprising:
performing gesture, audio frequency, oxygen amount, temperature and brain wave frequency spectrum excitation regulation and control on the intelligent pillow according to the sleep characteristic data of the user;
monitoring sleep parameters of the user within a preset time period after excitation regulation;
and carrying out evaluation identification on the sleep state of the user according to the sleep parameters.
It should be noted that, in this scheme, the intelligent pillow regulation and control is generally according to the corresponding regulation and control performed by the cervical vertebra posture, brain wave, heart rate, respiration and body temperature of the user, including cervical vertebra elevation angle adjustment, brain wave spectrum excitation, body temperature regulation and control, oxygen release and audio excitation, the intelligent pillow is regulated by the obtained data to improve the sleep quality of the user, wherein the intelligent pillow is subjected to the corresponding excitation regulation of the brain wave spectrum, the body temperature, the cervical vertebra elevation angle and the heart rate by the steady brain wave spectrum, the steady state body temperature, the cervical vertebra elevation angle and the steady state heart rate of the sleep characteristic data of the user, and the sleep parameters of the user in a preset time period after the excitation regulation are monitored, and the sleep state of the user is further evaluated and identified according to the sleep parameters.
According to an embodiment of the present invention, further comprising:
acquiring a sleep steady state threshold set of a user, wherein the sleep steady state threshold set comprises an electroencephalogram steady state threshold, a body temperature steady state threshold, a respiration steady state threshold, a heart rate steady state threshold and a posture steady state threshold;
comparing the sleep parameter of the user with the threshold value of the sleep steady state threshold value set correspondingly;
and carrying out grading identification according to the threshold comparison result.
After the intelligent pillow is excited and regulated to the user, the user sleep parameters monitored in a preset time period are compared with a preset sleep steady-state threshold set by corresponding data thresholds, and the sleep quality of the user is rated, identified and classified according to the threshold comparison result so as to verify the regulating effect of the intelligent pillow to the user.
According to an embodiment of the present invention, further comprising:
tracking and monitoring the sleep dynamic information of the user after the user excitation regulation is completed;
when the brain wave dynamic parameters of the user reach a preset steady state value, the breathing parameters, the body temperature parameters and the heart rate parameters of the next time point are read;
and judging the sleep state of the user according to the preset values of the breathing parameter, the body temperature parameter and the heart rate parameter.
It should be noted that, for accurately judging the sleep state of the user, a sleep preset value is set, the preset value is a reference value that the sleep of the user reaches the target steady state, the sleep parameter of the user is compared with the preset value, if the sleep parameter of the user is greater than or equal to the preset value, the user reaches the target steady state, wherein the sleep dynamic information of the user is monitored according to the user sleep state, when the brain wave of the user reaches a steady preset wave band, the breathing parameter, the body temperature parameter and the heart rate parameter of the next time point are read, and then the sleep state of the user is judged according to the comparison of each parameter and the preset value.
The personalized sleep-aiding intelligent pillow device disclosed by the invention is used for monitoring the indoor environment condition and collecting the environment parameters through the environmental control collecting module; the human body acquisition module is used for monitoring the sleep state of the human body and acquiring sleep parameters of a user; the processing module is connected with the environmental control acquisition module and the human body acquisition module and is used for processing acquired parameters; the instruction module is connected with the processing module and used for generating corresponding instructions for the received processing data of the processing module; the control module is connected with the instruction module and is used for generating a control command according to the received instruction and controlling the excitation response module; the excitation response module is connected with the control module and the human body acquisition module and is used for responding and exciting the five sub-modules according to the control command of the control module; the display module is connected with the processing module and the implementation control module and is used for displaying parameters received by the processing module and control commands of the control module; the personalized sleep-aiding intelligent pillow control method applied to the device is characterized in that sleep parameters, sleep health parameters and cervical vertebra health parameters of a user are obtained; acquiring sleep characteristic portraits of the user according to the sleep parameters, the sleep health parameters and the cervical vertebra health parameters of the user; inquiring a sleep information data set of the user in a sleep information database according to the sleep feature portraits; acquiring sleep characteristic data of a user according to the sleep information data set and the environmental parameters; exciting the user according to the sleep characteristic data and monitoring sleep parameters of the user after excitation; therefore, the intelligent pillow device capable of collecting the sleep state parameters of the user and processing and generating the instructions for excitation and display in combination with the environmental parameters is realized, the control method is correspondingly realized, individuation and intellectualization of the intelligent pillow are improved, and user experience is improved.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present invention may be stored in a readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
Claims (7)
1. An individualized sleep-aiding intelligent pillow device, which is characterized by comprising:
the environmental control acquisition module is used for monitoring the indoor environment condition and acquiring environment parameters;
the human body acquisition module is used for monitoring the sleep state of the human body and acquiring sleep parameters of a user;
the processing module is connected with the environmental control acquisition module and the human body acquisition module and is used for processing acquired parameters;
the instruction module is connected with the processing module and used for generating corresponding instructions for the received processing data of the processing module;
the control module is connected with the instruction module and used for generating a control command according to the received instruction and controlling the excitation response module;
the excitation response module is connected with the control module and the human body acquisition module and comprises five sub-modules, and is used for responding excitation to the five sub-modules according to the control command of the control module;
the display module is connected with the processing module and the control module and is used for displaying the parameters received by the processing module and the control command of the control module;
the personalized sleep-aiding intelligent pillow device further comprises:
the personalized sleep-aiding intelligent pillow control method is applied to the personalized sleep-aiding intelligent pillow device and comprises the following steps of:
acquiring sleep parameters and sleep health parameters and cervical vertebra health parameters of a user;
acquiring a sleep characteristic portrait of the user according to the sleep parameters, the sleep health parameters and the cervical vertebra health parameters of the user;
inquiring a sleep information data set of the user in a sleep information database according to the sleep characteristic portrait;
acquiring sleep characteristic data of a user according to the sleep information data set and the environment parameters;
exciting the user according to the sleep characteristic data and monitoring the sleep parameters of the user after excitation;
the inquiring the sleep information data set of the user in the sleep information database according to the sleep characteristic portrait comprises the following steps:
acquiring a sleep mimicry data set according to the sleep characteristic portrait of the user;
the sleep mimicry data set comprises heart rate respiration data, brain fluctuation data and body temperature steady state data of the user; threshold value comparison is carried out according to the data of the sleep mimicry data set and sample data in the sleep information database; acquiring a sleep information data set corresponding to the user according to a threshold comparison result;
the sleep information data set comprises sleep steady state data, brain wave frequency spectrum data and body state constant temperature data;
the step of acquiring sleep characteristic data of the user according to the sleep information data set and the environmental parameter comprises the following steps:
establishing a sleep health detection model;
inputting the weight parameter, the hypnotic steady-state data, the brain wave frequency spectrum data, the body state constant temperature data and the environment parameter of the user into the sleep health detection model to obtain sleep characteristic data;
the sleep characteristic data includes steady state electroencephalogram spectrum, steady state body temperature, cervical elevation angle, and steady state heart rate.
2. The personalized sleep-aiding intelligent pillow device according to claim 1, wherein the environmental control acquisition module further comprises:
and acquiring environmental parameters including time, room temperature, humidity and season data according to the indoor environment in which the user is located.
3. The personalized sleep-aiding intelligent pillow device of claim 1, wherein the human body acquisition module further comprises:
collecting sleep parameters and physical condition parameters of a user;
the third-party medical platform is connected with the third-party medical platform;
collecting, by the third-party medical platform, the physical condition parameters of the user, including: sleep health parameters and cervical health parameters.
4. A personalized sleep-aiding intelligent pillow device according to claim 3, wherein the user sleep parameters comprise a user sleep posture parameter, a body temperature parameter, an brain wave parameter, a breathing parameter, a heart rate parameter, and a weight parameter.
5. The personalized sleep-aiding intelligent pillow device of claim 1, wherein the incentive response module further comprises:
the gesture regulation and control submodule, the audio excitation submodule, the oxygen regulation and control submodule, the body temperature regulation and control submodule and the brain wave excitation submodule are controlled according to the control command of the control module;
the excitation data after excitation of the five sub-modules are transmitted to the human body acquisition module and then transmitted to the processing module.
6. The personalized sleep-aiding intelligent pillow device of claim 5, further comprising:
the processing module is connected with the third-party sleep information data platform and is used for carrying out two-way transmission of database encryption uploading and encryption downloading with the third-party sleep information data platform.
7. The personalized sleep-aiding intelligent pillow device according to claim 1, wherein the obtaining the sleep characteristic representation of the user according to the sleep parameter, the sleep health parameter and the cervical vertebra health parameter of the user comprises: and generating a sleep characteristic portrait of the user in a sleep dynamic monitoring model according to the sleep posture parameter, the body temperature parameter, the brain wave parameter, the breathing parameter, the heart rate parameter, the weight parameter, the sleep health parameter and the cervical vertebra health parameter of the user.
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