CN113842117B - Sleep data acquisition and processing method and system - Google Patents
Sleep data acquisition and processing method and system Download PDFInfo
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Abstract
The invention relates to the technical field related to information sleep management, and discloses a sleep data acquisition and processing method and a system, which comprise a brain wave monitoring module, a function monitoring module, a sleep judging module and an auxiliary sleep module; through collecting and analyzing the physiological state and brain waves of the body of the user, the sleep state of the user can be analyzed and judged in detail and reliably, a corresponding auxiliary adjusting method is generated according to the sleep state of the user to adjust and control the sleep environment where the user is located, a sleep environment which can be further more comfortable for the user can be created, the user can be helped to quickly and high-quality sleep, the sleep capacity is improved, and adverse effects brought to the user by long-term administration can be effectively solved.
Description
Technical Field
The invention relates to the technical field related to information sleep management, in particular to a sleep data acquisition and processing method and a sleep data acquisition and processing system.
Background
Along with the rapid change of life and production modes, the concept of night is gradually blurred compared with the prior art, the life rhythm is also more rapid, and part of people who are difficult to adapt to the environmental change rapidly, in the living environment, the sleep quality is difficult to be well guaranteed gradually, according to the existing data, the number of known diseases which can be induced by the insomnia symptoms in a long period is more than 3 hundred million people (when the application is put forward) in China, and the diseases comprise depression, obesity, respiratory system diseases, cardiovascular and cerebrovascular diseases, endocrine diseases, cancers and the like, and the influence on the physical and mental health and the life quality of people is huge.
To insomnia's treatment mode among the prior art be the medication mostly, the patient is through using the medicine that the hospital was opened or bought by oneself (mostly hypnotic and melatonin) to carry out treatment by force and restrain, through the effect of medicine, when user's insomnia, can effectually play the effect that impels the user to get into the sleep, and then guarantee that the user can obtain sufficient rest through sleep.
However, the traditional Chinese medicine treatment mode in the prior art has the problems of high medicine price, medicine dependence caused by long-term use, toxic and side effects and the like, and can bring more other adverse effects to patients after long-term use, and the insomnia problem of the patients cannot be really solved.
Disclosure of Invention
The invention aims to provide a sleep data acquisition and processing method and system to solve the problem that the existing treatment mode proposed in the background art brings more adverse effects to patients.
In order to achieve the purpose, the invention provides the following technical scheme:
a sleep data acquisition processing system, comprising:
the brain wave monitoring module is used for acquiring and generating brain wave information of a user, and the brain wave information is used for representing the sleep condition of the user through the real-time change condition of the brain waves of the user;
the function monitoring module is used for acquiring and generating physiological state information of the user, wherein the physiological state information comprises respiratory frequency, heartbeat frequency, body temperature information and eye movement frequency, and the physiological state information is used for representing the sleep condition of the user through the change of the physiological state of the user;
the sleep judging module is used for judging the sleep of the user according to the preset sleep judging standard and the physiological state information to generate a user sleep state, and the user sleep state is used for representing the sleep condition of the user at a certain time;
and the auxiliary sleep module is used for analyzing and generating an auxiliary adjusting method according to the sleep state of the user and outputting the auxiliary adjusting method, the auxiliary adjusting method is used for adjusting the sleep environment of the user by controlling the sleep auxiliary equipment and changing the sleep state of the user, and the sleep environment comprises ambient temperature, ambient light and ambient noise.
As a further scheme of the invention: the sleep assisting module specifically comprises:
the sleep assisting device comprises an adjusting and generating unit, a sleep assisting unit and a sleep assisting unit, wherein the adjusting and generating unit is used for analyzing the sleep state of the user according to a preset sleep assisting method and generating an assisting adjusting method, and the sleep assisting method is used for representing the change mode of the sleep state along with the sleep environment;
and the adjustment output unit is used for respectively outputting the auxiliary adjustment methods to the sleep auxiliary equipment.
As a further scheme of the invention: the sleep assisting module further comprises an adjusting and correcting unit, and the adjusting and correcting unit comprises an exciting subunit and an executing subunit;
the excitation subunit is used for acquiring the sleep state of the user and analyzing the sleep state according to the historical sleep state of the user, and if the sleep state of the user is reduced, the execution subunit is started in a circulating mode;
the execution subunit is configured to calculate a vector of change values of the sleep state of the user, acquire a historical auxiliary adjustment method, take a negative half of an absolute value of an adjustment value of the historical auxiliary adjustment method when the sleep state of the user decreases, generate and update the auxiliary adjustment method, take a positive half of the absolute value of the adjustment value of the historical auxiliary adjustment method when the sleep state of the user increases, generate and update the auxiliary adjustment method, and generate the auxiliary adjustment method when the adjustment correction unit and the adjustment generation unit do not generate the auxiliary adjustment method at the same time.
As a further scheme of the invention: the system also comprises a user recording unit;
the user recording unit is used for recording the change mode of the sleep state of the user along with the sleep environment and generating a user sleep assisting method, and the user sleep assisting method is used for updating the sleep assisting method.
As a further scheme of the invention: the sleep determination module includes:
the sleep stage distinguishing unit is used for judging the sleep stages of the user according to the brain wave information and the physiological state information, wherein the sleep stages of the user comprise a sleep stage, a slow wave sleep stage and an out-of-phase sleep stage;
and the sleep quality judging unit is used for judging the sleep of the user according to preset sleep judging standards aiming at different sleep stages and the brain wave information and the physiological state information to generate the sleep state of the user.
As a further scheme of the invention: the sleep stage discrimination unit further includes:
and the out-of-phase sleep confirmation subunit is used for generating a user stimulation signal, performing signal feedback analysis on the brain wave information, and determining whether the sleep stage is an out-of-phase sleep stage according to an analysis result.
The embodiment of the invention aims to provide a method which comprises the following steps:
collecting and generating brain wave information of a user, wherein the brain wave information is used for representing the sleep condition of the user through the real-time change condition of the brain waves of the user;
acquiring and generating physiological state information of the user, wherein the physiological state information comprises respiratory frequency, heartbeat frequency, body temperature information and eye movement frequency, and the physiological state information is used for representing the sleep condition of the user through the physiological state change of the user;
judging the sleep of the user according to preset sleep judgment standards and the brain wave information and the physiological state information to generate a user sleep state, wherein the user sleep state is used for representing the sleep condition of the user at a certain time;
and analyzing and generating an auxiliary adjusting method according to the sleep state of the user, and outputting the auxiliary adjusting method, wherein the auxiliary adjusting method is used for adjusting the sleep environment of the user by controlling a sleep auxiliary device to change the sleep state of the user, and the sleep environment comprises ambient temperature, ambient light and ambient noise.
As a further scheme of the invention: the step of analyzing and generating an auxiliary adjusting method according to the sleep state of the user and outputting the auxiliary adjusting method specifically comprises the following steps:
analyzing the sleep state of the user according to a preset sleep assisting method to generate an assisting adjusting method, wherein the sleep assisting method is used for representing the change mode of the sleep state along with the sleep environment;
respectively outputting the auxiliary adjusting methods to the sleep assisting apparatuses.
As a further scheme of the invention: the method for analyzing the sleep state of the user according to the preset sleep assisting method and generating the assisting adjustment method further comprises the following steps:
the sleep state of a user is acquired and analyzed according to the historical sleep state of the user, if the sleep state of the user is reduced, the change value vector of the sleep state of the user is calculated in a circulating mode, a historical auxiliary adjusting method is acquired, when the sleep state of the user is reduced, a half negative value of an absolute value of an adjusting value of the historical auxiliary adjusting method is taken, the auxiliary adjusting method is generated and updated, when the sleep state of the user is increased, a half positive value of the absolute value of the adjusting value of the historical auxiliary adjusting method is taken, and the auxiliary adjusting method is generated and updated.
Compared with the prior art, the invention has the beneficial effects that: through collecting and analyzing the physiological state and brain waves shown by the body of the user, the sleep state of the user can be analyzed and judged in detail and reliably, a corresponding auxiliary adjusting method is generated according to the sleep state of the user to adjust and control the sleep environment where the user is located, a user can further obtain a more comfortable sleep environment, the user is helped to quickly and high-quality sleep, and adverse effects brought to the user by long-term administration can be effectively solved.
Drawings
Fig. 1 is a block diagram of an infrastructure configuration of a sleep data acquisition and processing system.
Fig. 2 is a block diagram of an assisted sleep module in a sleep data acquisition and processing system.
Fig. 3 is a block diagram of a sleep data acquisition and processing system.
Fig. 4 is a block diagram of a sleep determination module in a sleep data acquisition and processing system.
Fig. 5 is a basic flow chart diagram of a sleep data acquisition and processing method.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The following detailed description of specific embodiments of the present invention is provided in connection with specific embodiments.
As shown in fig. 1, a sleep data collecting and processing system provided for an embodiment of the present invention includes the following components:
in this embodiment, the sleep data acquisition and processing system is a sleep assisting system for acquiring sleep data of a user when the user sleeps, and the sleep state is finally determined by changes of physiological indexes of the patient during the sleep process, and then the sleep assisting system controls related sleep assisting devices to adjust and improve the sleep environment of the user according to the changes, so that the user can achieve a more comfortable sleep environment, the user can be more easily put into sleep, and the sleep quality of the user is improved.
The brain wave monitoring module 100 is configured to collect and generate brain wave information of a user, where the brain wave information is used to characterize a sleep condition of the user through a real-time change condition of the brain wave of the user.
In this embodiment, the electroencephalogram monitoring module is specifically a device for monitoring electroencephalograms of a user, in a practical use scenario, the monitoring device may be arranged in a pillow as used by the user while sleeping, the user who is used to wear the head cover for sleeping during partial sleeping can also be arranged in the head cover, by the arrangement mode, the brain waves of the user can be collected when the user sleeps, the user does not need to carry extra collecting equipment, further reducing the influence on the sleeping state of the user, particularly, when the human body is in sleeping rest, the sleep states mainly comprise two sleep states, namely slow wave sleep and out-of-phase sleep, which are alternately performed, in different sleep states, the presenting states of the human brain waves are different, so that the sleep state of the human body can be judged according to the change of the human brain waves.
The function monitoring module 300 is configured to acquire and generate physiological state information of the user, where the physiological state information includes a breathing frequency, a heartbeat frequency, a body temperature information, and an eye movement frequency, and the physiological state information is used to represent a sleep condition of the user through a change in a physiological state of the user.
In this embodiment, the function monitoring module is specifically configured to monitor physiological state information of a user, where the physiological state information includes a respiratory frequency, a heartbeat frequency, a body temperature information, and an eye movement frequency (which may also include more other body indicators capable of representing state changes of a human body during sleep), and this module is a functional module rather than a structural module, so that the module may be formed by a plurality of sub-units arranged in a dispersed manner, and each of different sub-units executes and acquires different physiological state information, for example, the module may be arranged in a quilt used by the user, a bedside lamp, or an intelligent bracelet worn by part of the user habitually, and in different stages of slow wave sleep, out-phase sleep, and before entering sleep, the physiological states of the human body used for representing different body functions may generate different physiological states, for example, after a human body enters slow wave sleep, the respiratory frequency, the heartbeat frequency and the body temperature are all reduced to a certain extent, so that the state that the human body enters the sleep can be known by monitoring the physiological state information, and the external equipment is assisted to adjust the sleep environment of the user.
A sleep determination module 500, configured to perform sleep determination on the user according to preset sleep determination criteria on the brain wave information and the physiological state information, and generate a user sleep state, where the user sleep state is used to represent a sleep condition of the user at a certain time.
In this embodiment, the sleep determination module is configured to process and determine the data collected by the brain wave monitoring module and the function monitoring module to determine a sleep state of the user, where the sleep state of the user represents a sleep condition of the user, and here, the sleep state of the user may be output as a specific numerical value, for example, the sleep state of the user is divided into ten levels of 1 to 10, which respectively represent processes of the sleep state of the user becoming better, where the sleep determination criterion used for determining is a more scientific physiological state of the human body in each stage under a better sleep state obtained by analyzing historical learning data of a large number of users, and the specific physiological state may also be a relative difference value rather than a specific value, that is, a relative variation of each index in the best sleep state relative to normal activity of the user obtained by analyzing data of each user individually, compared with the method of directly using physiological state data, the method is more accurate and reliable in the final obtained result, and can reduce the difference caused by the difference among different individuals to a certain extent.
The sleep assisting module 700 is configured to generate an assistant adjusting method according to the sleep state analysis of the user, and output the assistant adjusting method, where the assistant adjusting method is configured to adjust a sleep environment of the user by controlling a sleep assisting apparatus, and change the sleep state of the user, where the sleep environment includes an ambient temperature, ambient light, and ambient noise.
In this embodiment, the sleep assisting module is used for analyzing the sleep state of the user and adjusting and changing the sleep environment of the surrounding user, and the sleep assisting module is the same as the function monitoring module, which may be constituted by a plurality of discrete units such as a device for temperature control, a device for light control, a device for ambient noise control, and the like (an adjustment control device of environmental factors that can affect the sleep state of the user), an assisted sleep module interacting with the sleep determination module, the assisted sleep module analyzing the sleep state of the user generated by the sleep determination module, and then the environment is adjusted by controlling the related sleep assisting equipment, so that the environment can be in a state which enables the body of the user to be most comfortable, and the user with the sleep problem can be helped to better enter the sleep.
As shown in fig. 2, as another preferred embodiment of the present invention, the sleep assisting module 700 specifically includes:
an adjustment generating unit 710, configured to analyze the sleep state of the user according to a preset sleep assisting method, and generate an auxiliary adjusting method, where the sleep assisting method is used to characterize a change manner of the sleep state along with a sleep environment.
An adjustment output unit 720 for outputting the auxiliary adjustment methods to the sleep assisting apparatuses, respectively.
In this embodiment, the sleep assisting module is described, wherein a sleep assisting method is provided, the sleep assisting method is a variable model which includes a plurality of types, such as ambient temperature, ambient light, and the like, and the dependent variable is a sleep state of the user (which indicates the influence of different sleep environment variables on the sleep state, so that each sleep environment variable corresponds to a guidance value reaching an optimal sleep state of the user for analyzing the sleep state of the user) which is finally affected by the integration, it should be described that although the dependent variable is finally a result of integrating the influence of all independent variables, the influence of each independent variable factor on the sleep state of the user is separately acted, that is, each independent variable affects the change of the sleep state of the user when changed, therefore, when the sleep state of the user is analyzed, the analyzed and generated auxiliary adjusting methods are effective corresponding to each environment independent variable, and finally, the adjusting output unit 720 respectively outputs and acts on the corresponding sleep auxiliary equipment to adjust the sleep environment, so that the sleep state of the user is changed.
As another preferred embodiment of the present invention, the sleep assisting module further comprises an adjustment and correction unit, wherein the adjustment and correction unit comprises an excitation subunit and an execution subunit;
the stimulating subunit is used for acquiring the sleep state of the user and analyzing according to the historical sleep state of the user, and if the sleep state of the user is reduced, the executing subunit is started in a circulating mode.
The execution subunit is configured to calculate a vector of change values of the sleep state of the user, obtain a historical auxiliary adjustment method, take a negative half of an absolute value of an adjustment value of the historical auxiliary adjustment method when the sleep state of the user decreases, generate and update the auxiliary adjustment method, take a positive half of the absolute value of the adjustment value of the historical auxiliary adjustment method when the sleep state of the user increases, generate and update the auxiliary adjustment method, and generate the auxiliary adjustment method when the adjustment correction unit is different from the adjustment generation unit 710.
In this embodiment, the analysis process may be a differential analysis, where the historical sleep state of the user mainly refers to the previous sleep state data of the user, that is, the sleep state before the previous auxiliary adjustment method controls and adjusts the sleep environment, and the currently acquired sleep state of the user is the sleep state of the user after the previous auxiliary adjustment method takes effect and before another auxiliary adjustment method is not generated, for example, the historical sleep state data of the user indicates that the level is 7 by using a number, and the currently acquired completely new sleep state data of the user is 8, the analysis differential value is a positive value, which indicates that the sleep state of the user is positively affected after the sleep environment adjustment takes effect, and if the completely new sleep state data of the user is 6, the analysis differential value is a negative value, which indicates that the sleep environment adjustment is not in effect or has a counter-effect, the absolute value of the adjustment value of the historical previous historical auxiliary adjustment method is halved and negatively affected, otherwise, the adjustment value vector is positive (i.e. the variation value vector) (similar to the situation where the location of the environmental variation point affecting the user is determined by the dichotomy), where the adjustment generating unit 710 does not work any more (for a certain sleeping environment independent variable) after the execution subunit enters the loop work, and of course, a stop trigger switch is preset here, and it may be generally set that when the value of the auxiliary adjusting method is smaller than a predetermined value, the adjustment output unit 720 does not output the auxiliary adjusting method any more.
As shown in fig. 3, as another preferred embodiment of the present invention, a user recording unit 900 is further included;
the user recording unit 900 is configured to record a change manner of a sleep state of a user along with the sleep environment, and generate a user sleep assisting method, where the user sleep assisting method is used to update the sleep assisting method.
In this embodiment, the sleep assisting method of the user updates the sleep assisting method in the sleep assisting module after one sleep of the user is completed, so that more rapid and effective sleep assisting management can be achieved in the next sleep of the user.
As shown in fig. 4, as another preferred embodiment of the present invention, the sleep determination module 500 includes:
a sleep stage distinguishing unit 510 for judging the sleep stages of the user according to the brain wave information and the physiological state information, wherein the sleep stages of the user include a sleep stage, a slow wave sleep stage and an out-of-phase sleep stage.
A sleep quality determination unit 520, configured to perform sleep determination on the user according to preset sleep determination criteria for different sleep stages according to the brain wave information and the physiological state information, so as to generate a sleep state of the user.
Further, the sleep stage resolution unit 510 further includes:
and the out-of-phase sleep confirmation subunit is used for generating a user stimulation signal, performing signal feedback analysis on the brain wave information, and determining whether the sleep stage is an out-of-phase sleep stage according to an analysis result.
In this embodiment, a human body includes a plurality of sleep stages during sleep, and physiological physical characteristics of different sleep stages are different, so when sleep determination is performed, different sleep stages are determined by using different standards, so that the sleep stage of a user needs to be determined, wherein the characteristics of a slow wave sleep stage are obviously and easily distinguished, characteristics of out-phase sleep, particularly brain waves, are closer to those during waking, and physical characteristics are more active (but must appear after slow wave sleep), and for final determination, an out-phase sleep determination subunit is provided, and determination can be further accurately performed through feedback of a brain to stimuli (the stimulation is less, and the user cannot be waken up).
As shown in fig. 5, the present invention further provides a sleep data collecting and processing method, including the steps of:
s200, collecting and generating brain wave information of a user, wherein the brain wave information is used for representing the sleep condition of the user according to the real-time change condition of the brain waves of the user.
S400, collecting and generating physiological state information of the user, wherein the physiological state information comprises respiratory frequency, heartbeat frequency, body temperature information and eye movement frequency, and the physiological state information is used for representing the sleeping condition of the user through the physiological state change of the user.
S600, judging the sleep of the user according to the brain wave information and the physiological state information according to a preset sleep judgment standard to generate a user sleep state, wherein the user sleep state is used for representing the sleep condition of the user at a certain time.
And S800, analyzing and generating an auxiliary adjusting method according to the sleep state of the user, and outputting the auxiliary adjusting method, wherein the auxiliary adjusting method is used for adjusting the sleep environment of the user by controlling a sleep auxiliary device, so as to change the sleep state of the user, and the sleep environment comprises ambient temperature, ambient light and ambient noise.
As another preferred embodiment of the present invention, the step of generating an auxiliary adjusting method according to the sleep state analysis of the user and outputting the auxiliary adjusting method specifically includes:
analyzing the sleep state of the user according to a preset sleep assisting method to generate an assisting adjusting method, wherein the sleep assisting method is used for representing the change mode of the sleep state along with the sleep environment.
Respectively outputting the auxiliary adjusting methods to the sleep assisting apparatuses.
As still another preferred embodiment of the present invention, the method for analyzing the sleep state of the user according to a preset sleep assisting method and generating the assisting adjustment further includes the following steps:
the sleep state of a user is acquired and analyzed according to the historical sleep state of the user, if the sleep state of the user is reduced, the change value vector of the sleep state of the user is calculated in a circulating mode, a historical auxiliary adjusting method is acquired, when the sleep state of the user is reduced, a half negative value of an absolute value of an adjusting value of the historical auxiliary adjusting method is taken, the auxiliary adjusting method is generated and updated, when the sleep state of the user is increased, a half positive value of the absolute value of the adjusting value of the historical auxiliary adjusting method is taken, and the auxiliary adjusting method is generated and updated.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (2)
1. A sleep data acquisition and processing system, comprising:
the brain wave monitoring module is used for acquiring and generating brain wave information of a user, and the brain wave information is used for representing the sleep condition of the user through the real-time change condition of the brain waves of the user;
the function monitoring module is used for acquiring and generating physiological state information of the user, wherein the physiological state information comprises respiratory frequency, heartbeat frequency, body temperature information and eye movement frequency, and the physiological state information is used for representing the sleep condition of the user through the change of the physiological state of the user;
the sleep judging module is used for judging the sleep of the user according to the preset sleep judging standard and the physiological state information to generate a user sleep state, and the user sleep state is used for representing the sleep condition of the user at a certain time;
the sleep assisting module is used for analyzing and generating an auxiliary adjusting method according to the sleep state of the user and outputting the auxiliary adjusting method, the auxiliary adjusting method is used for adjusting the sleep environment of the user by controlling sleep assisting equipment and changing the sleep state of the user, and the sleep environment comprises ambient temperature, ambient light and ambient noise;
the sleep assisting module specifically comprises:
the sleep assisting device comprises an adjusting and generating unit, a sleep assisting unit and a sleep assisting unit, wherein the adjusting and generating unit is used for analyzing the sleep state of the user according to a preset sleep assisting method and generating an assisting adjusting method, and the sleep assisting method is used for representing the change mode of the sleep state along with the sleep environment;
an adjustment output unit for outputting the auxiliary adjustment methods to the sleep assistance apparatuses, respectively;
the sleep assisting module further comprises an adjusting and correcting unit, and the adjusting and correcting unit comprises an exciting subunit and an executing subunit;
the excitation subunit is used for acquiring the sleep state of the user and analyzing the sleep state according to the historical sleep state of the user, and if the sleep state of the user is reduced, the execution subunit is started in a circulating mode;
the execution subunit is configured to calculate a vector of change values of the sleep state of the user, acquire a historical auxiliary adjustment method, take a negative half of an absolute value of an adjustment value of the historical auxiliary adjustment method when the sleep state of the user decreases, generate and update the auxiliary adjustment method, take a positive half of the absolute value of the adjustment value of the historical auxiliary adjustment method when the sleep state of the user increases, generate and update the auxiliary adjustment method, and generate the auxiliary adjustment method when the adjustment correction unit and the adjustment generation unit do not generate the auxiliary adjustment method at the same time;
the system further comprises a user recording unit;
the user recording unit is used for recording the change mode of the sleep state of the user along with the sleep environment and generating a user sleep assisting method, and the user sleep assisting method is used for updating the sleep assisting method;
the sleep determination module includes:
the sleep stage distinguishing unit is used for judging the sleep stages of the user according to the brain wave information and the physiological state information, wherein the sleep stages of the user comprise a sleep stage, a slow wave sleep stage and an out-of-phase sleep stage;
the sleep quality judging unit is used for judging the sleep of the user according to preset sleep judging standards aiming at different sleep stages and the brain wave information and the physiological state information to generate a sleep state of the user;
the sleep stage discrimination unit further includes:
and the out-of-phase sleep confirmation subunit is used for generating a user stimulation signal, performing signal feedback analysis on the brain wave information, and determining whether the sleep stage is an out-of-phase sleep stage according to an analysis result.
2. A sleep data acquisition and processing method is characterized by comprising the following steps:
collecting and generating brain wave information of a user, wherein the brain wave information is used for representing the sleep condition of the user through the real-time change condition of the brain waves of the user;
acquiring and generating physiological state information of the user, wherein the physiological state information comprises respiratory frequency, heartbeat frequency, body temperature information and eye movement frequency, and the physiological state information is used for representing the sleep condition of the user through the physiological state change of the user;
judging the sleep of the user according to preset sleep judgment standards and the brain wave information and the physiological state information to generate a user sleep state, wherein the user sleep state is used for representing the sleep condition of the user at a certain time;
analyzing and generating an auxiliary adjusting method according to the sleep state of the user, and outputting the auxiliary adjusting method, wherein the auxiliary adjusting method is used for adjusting the sleep environment of the user by controlling a sleep auxiliary device to change the sleep state of the user, and the sleep environment comprises ambient temperature, ambient light and ambient noise;
the step of analyzing and generating an auxiliary adjusting method according to the sleep state of the user and outputting the auxiliary adjusting method specifically comprises the following steps:
analyzing the sleep state of the user according to a preset sleep assisting method to generate an assisting adjusting method, wherein the sleep assisting method is used for representing the change mode of the sleep state along with the sleep environment;
respectively outputting the auxiliary adjusting methods to the sleep assisting apparatuses;
the method for analyzing the sleep state of the user according to the preset sleep assisting method and generating the assisting adjustment method further comprises the following steps:
the sleep state of a user is acquired and analyzed according to the historical sleep state of the user, if the sleep state of the user is reduced, the change value vector of the sleep state of the user is calculated in a circulating mode, a historical auxiliary adjusting method is acquired, when the sleep state of the user is reduced, a half negative value of an absolute value of an adjusting value of the historical auxiliary adjusting method is taken, the auxiliary adjusting method is generated and updated, when the sleep state of the user is increased, a half positive value of the absolute value of the adjusting value of the historical auxiliary adjusting method is taken, and the auxiliary adjusting method is generated and updated.
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