CN114099895A - Sleep improvement system and method - Google Patents
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Abstract
The invention discloses a sleep improvement system and a sleep improvement method; the sleep improvement system includes: the sleep monitor system comprises a microcontroller, a sleeping monitoring unit, a sleep physiological data monitoring unit, a storage unit and a guider unit, wherein each unit module executes corresponding functions. According to the system and the method, continuous guide stimulation is provided in real time according to the sleeping habits of the user, and the breathing, the heart rate and the body movement of the human body are guided to be gathered in a targeted manner, so that the specific sleep adjustment mode is closely related to the autonomic physiological consciousness of the user, man-machine conflict is avoided, and the acceptability is best; meanwhile, the guiding stimulation guiding parameters can be automatically adjusted, so that the guiding stimulation mode is automatically optimized, and the human body can be efficiently guided to rapidly enter a deep sleep state.
Description
Technical Field
The invention relates to the field of human sleep physiological function control, in particular to a sleep improvement system and a sleep improvement method.
Background
In recent decades, as society becomes more and more stressed, more and more people have various sleep troubles, which affect their normal lives and works. Meanwhile, various sleep-assisting products appear in the market successively, such as: white noise emission equipment, intelligent lamp, champignon equipment, brain wave monitoring and transmitter, help dormancy music etc.. The devices are mainly divided into two types, one type of the devices mainly plays white noise or sleep-aid music or pleasant fragrance, and enables a human body to generate a relaxed and pleasant feeling from the directions of vision, sound perception, smell perception and the like to enter a relaxed state, so that the sleep is improved; the other type stimulates human eyes or human brains by emitting special light waves, alpha waves or other wave bands to forcibly regulate the human body, promotes the human brains to regulate melatonin and other brain gland secretion chemical substances related to sleep so as to improve the sleep.
Although the existing white noise and sleep-aiding music or aroma can pleasure the body and relax the human body in the initial stage, the existing white noise and sleep-aiding music or aroma also changes the environment, interferes with the fellows and even the experiencers for a long time, and cannot be properly adjusted according to the use habits of each person and the sleeping state of the person at the same time, so that the improvement effect of the existing white noise and sleep-aiding music or aroma is limited greatly. The continuous stimulation of light waves or slow waves can cause the corresponding glands of the brain to adjust and secrete certain chemical substances (such as melatonin, endorphin and the like) which influence the sleep, so that the sleep state of a part of people can be improved, but if the state lasts for a long time, the state can subconsciously disturb the normal biological clock of the human body, and the health of the human body is at potential risk in a long term. The human sleep biological clock and the related chemical substance secretion mechanism are all formed by solidifying the life habits from birth on the basis of the gradual evolution of the human body over hundreds of thousands of years, and the human sleep biological clock and the related chemical substance secretion mechanism are formed by the life habits and the sleep habits of the human, can generate negative effects on normal life if easily and improperly changed, and can disturb the biological clock if serious. The mode is also a preset stimulation mode, although the mode can be adjusted at different sleep stages of a human body, the mode cannot be changed according to the habit of each person and cannot be different from person to person, and the using effect has certain limitation.
Disclosure of Invention
In view of the above problems, one of the problems to be solved by the present invention is to provide a sleep improvement system that is safe to use, has no side effects, and does not require stimulation of secretion of brain glandular chemicals.
The second problem to be solved by the present invention is to provide a method for improving sleep without stimulating brain
The first technical scheme of the invention is as follows:
a sleep improvement system comprises a sleeping detection unit, a sleep physiological data monitoring unit, a storage unit, a microcontroller and a guider unit; wherein:
an entering-sleep detection unit for detecting the indexes of the sleeping facilities and the environment through a sensor to judge whether the user enters the sleep;
the sleep physiological data monitoring unit is used for monitoring physiological data in real time after a user goes to bed and storing the physiological data in the storage unit;
the storage unit is used for storing the sleeping signal data and the sleeping physiological data of the user, the guiding stimulation guidance path in the period of time and the effect feedback after guidance, and the guidance path, the corresponding stimulation guidance parameter adjustment record and the corresponding executed effect record;
the microcontroller judges the sleep stage state of the user by processing the physiological data, calls a guide path and a stimulation guide parameter corresponding to the current sleep state, simultaneously filters and analyzes real-time user individual respiration data provided by the sleep physiological data monitoring unit to generate a real-time stimulation parameter, and combines the guide path and the stimulation guide parameter to generate a complete real-time stimulation instruction; the microcontroller comprises a control program, wherein the control program presets an algorithm to determine the current sleep state and the time period of the user by analyzing physiological data, and the current sleep state is based on at least one detected physiological characteristic measured by at least one sensor; in addition, the control program filters and analyzes real-time user individual respiration data provided by the physiological data monitoring unit to generate a real-time parameter item in the stimulation instruction, and calls a corresponding guide path and a stimulation guide parameter according to the current sleep stage state, and converges the guide path and the stimulation guide parameter so as to generate a complete stimulation instruction; and the control program sets and generates an initial guidance path according to the natural sleeping habits of the user observed in advance so as to guide the user to rapidly enter the next sleeping state from the current sleeping state; wherein, this control program includes: a comparison program programmed to average the time required to go from one sleep session to the next per day over a period under the current guideline and to compare the difference with the time required in the previous natural sleep session or the time required in the last guideline session; and an optimization program programmed to adjust the stimulation guidance parameters according to a preset rule to generate a new guidance path and compare the variation of the time saved by the new guidance path and the old guidance path until the variation of the time saved by the new guidance path and the old guidance path does not exceed a preset tolerance and the comprehensive value of the frequency and the risk degree of physiological abnormality occurring in the stage variation does not exceed the preset tolerance, so as to determine the old guidance path as the optimal guidance path of the user during the period from the sleep period to the next sleep period, and the optimization program continues to output the new guidance path according to the preset rule to participate in the optimization process before the optimal guidance path is not obtained;
the guider unit provides real-time continuous stimulation for the user according to the real-time stimulation instruction provided by the microcontroller, and the respiration and heart rate of the user gradually slow down and the body relaxes through real-time guiding and adjustment of respiration section, so that the user quickly falls asleep and improves sleep.
In an embodiment, the sleep improvement system further includes a data editing unit, configured to edit stimulation guidance parameters related to adjustment according to the natural sleep habits of the user, the sleep states and physiological data in each guidance path.
In one embodiment, the sleep improvement system further comprises an emergency processing unit, which is used for performing alarm prompt according to an alarm instruction sent by the microcontroller when abnormal sleep state occurs, and the prompt is divided into two types, one type is physiological abnormal phenomena such as apnea and the like, and alarm danger prompt is performed according to the alarm instruction sent by the microcontroller; and the other type is the physiological abnormal phenomena such as over-slow respiration and the like in an improved operation stage in a period, and when the times and the comprehensive value degree of a danger course of the abnormal phenomena exceed a set threshold value, the warning of the guiding path is adjusted according to a warning instruction sent by the microcontroller.
In an embodiment, the sleep improvement system further includes a signal sending/receiving unit, under the control of the microcontroller, a sending unit in the signal sending/receiving unit sends related data information to a mobile terminal or a background data processing center in signal connection with the sleep improvement system, and a receiving unit in the signal sending/receiving unit receives data information sent by the mobile terminal or the background data processing center in signal connection with the sleep improvement system.
The invention also provides a sleep improvement method, which comprises the following steps:
detecting the sleeping environment: collecting the sleeping environment indexes of the human body, and comparing the sleeping environment indexes with a preset sleeping threshold value to judge whether the human body is sleeping;
a sleep physiological data acquisition step: collecting user physiological data in real time after the user goes to bed, and storing for later use;
judging the current sleep stage of the user: continuously monitoring and analyzing physiological data of a user after sleeping, and judging the current sleep cycle and the specific sleep stage of the user according to a preset sleep stage confirmation algorithm;
and calling a corresponding guide path: calling an initial guidance path corresponding to the sleep stage or an optimal guidance path and stimulation guidance parameters of the sleep stage after subsequent optimization and adjustment according to the state of the current sleep stage;
acquiring a stimulation instruction of the current respiratory cycle: and filtering and analyzing real-time physiological data of each respiratory cycle to generate real-time stimulation parameters, converging the guide path and the stimulation guide parameters, and acquiring a stimulation instruction of the respiratory cycle.
The guide provides a continuous stimulation step: providing continuous positive and negative stimulation according to the respiratory cycle stimulation instruction under the current guidance path, guiding and adjusting the respiratory joints of the user in real time, and performing periodic gradual adjustment to gradually slow the respiration of the user so as to quickly fall asleep and improve sleep;
storing and recording guide paths, stimulation guide parameters and guide results: storing and recording the guidance path and stimulation guidance parameters of the sleep stage, physiological data and result data of sleep period change.
In one embodiment, after the step of storing and recording the guidance path, the stimulation guidance parameters, and the guidance result, the sleep improvement method further includes the following steps:
editing and adjusting guide paths and stimulation guide parameters: the method is used for editing and adjusting the stimulation guidance parameters to generate a new guidance path according to the sleep state change of the user under each guidance path. The stimulation guidance parameters comprise the breathing delay time of each stage, the breathing time ratio and the like.
In one embodiment, after the step of editing and adjusting the guidance path and the stimulation guidance parameter, the sleep improvement method further includes the following steps:
wireless signal transmission/reception step: the system comprises a mobile terminal or a background data processing center for sending related data information to the sleep improvement system and a data receiving and processing center for receiving the data information sent by the mobile terminal or the background data processing center of the sleep improvement system.
In one embodiment, after the step of transmitting/receiving the wireless signal, the method further comprises the steps of:
a body abnormity alarming step: and the alarm prompt is carried out according to the alarm instruction sent by the microcontroller when physiological abnormal states such as apnea appear in sleep.
In one embodiment, the sleep improvement method further includes, in the step of determining the current sleep stage of the user:
judging whether the user goes to bed: detecting index data in bedding or a sleeping environment in real time through a sensor, and starting a sleep physiological data monitoring unit to work when the index reaches a threshold value and judges that a human body is sleeping;
monitoring physiological data of falling asleep: after the sleep physiological data monitoring unit is started, the sleep state and physiological signals such as respiration, heart rate, body movement, temperature and the like of a human body are tracked in real time; and can be used as feedback to determine the effect of subsequent motion adjustments.
In one embodiment, in the sleep improvement method, the guider provides a continuous stimulation step, the stimulation is sensory stimulation, each stimulation period is divided into two stages and respectively corresponds to an inspiration process and an expiration process in a human body breathing period, one is a positive stimulation stage, one is a negative stimulation stage, and the negative stimulation can also be zero stimulation; in each stimulation period, the positive stimulation time corresponds to the inspiration phase time of the user and is added with inspiration delay time, and the negative stimulation time corresponds to the expiration phase time of the user and is added with expiration delay time.
In one embodiment, in the sleep improvement method, the guiding device provides the continuous stimulation step, in each stimulation period, the positive stimulation time corresponds to the inspiration phase time of the user and is added with the inspiration delay time, and the negative stimulation time corresponds to the expiration phase time of the user and is added with the expiration delay time. The initial values of the inspiration delay time and the expiration delay time of each sleep adjustment stage are set according to natural sleep habits, and the subsequent times are used as stimulation guide parameters to be gradually optimized and adjusted along the optimization adjustment process of the guide path.
Compared with the prior art, the invention has the following advantages:
1. the stimulation generated by the guider unit is based on the real-time respiration rhythm of the human body, each stimulation period corresponds to one respiration period, the respiration rhythm of the human body is gradually guided one period after another, the respiration state is gradually slowed down and slowed down automatically according to individuals by taking the respiration period as a unit, and meanwhile, the heart rate is gradually reduced, so that the brain enters a calm, calm and relaxed state and quickly enters a deep sleep state. The essence of the method is to improve sleep by inducing breathing to gradually slow down the breathing rhythm, which can adapt to individual variability and can be in-situ real-time, in principle different from the prior sleep improvement methods mentioned above.
2. The optimal guide path is obtained by gradually optimizing according to the natural sleep habit and the feedback at the later stage of the individual user, and is continuously optimized by using the effect feedback. Even if the natural sleep habit of the user is changed for some reason, the system can still adjust the guidance path according to the latest sleep result feedback. It takes into account the sleep habit stage adjustment of the user and is not invariable.
3. The acquisition of the main sleep adjustment parameters of the user is directly related to the breathing habit and the sleep habit of the user, and each person naturally has the breathing and sleep abilities and the breathing adjustment ability, so that the specific sleep adjustment mode is closely related to the autonomic physiological consciousness of the user, man-machine conflict cannot be generated, and the acceptability is best. The method adjusts the breathing rhythm of the user instead of the human body biological clock through stimulation, and the safety of the method is highest.
Drawings
FIG. 1 is a block diagram of a sleep improvement system in accordance with an embodiment of the present invention;
FIG. 2 is a block diagram of a sleep improvement system in accordance with another embodiment of the present invention;
FIG. 3 is a block diagram of a sleep improvement system in accordance with another embodiment of the present invention;
FIG. 4 is a block diagram of a sleep improvement system in accordance with yet another embodiment of the present invention;
5a, 5b, 5c, 5d are flow charts of improving user sleep in four embodiments provided by the present invention, respectively;
fig. 6 is a flow chart illustrating a flow of a sleep state stimulation process of a user according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in further detail with reference to the accompanying drawings.
According to the new regulation of AASM in 2007, the sleep stages of the human body are divided into a non-rapid eye movement sleep stage NREM and a rapid eye movement sleep stage REM. Wherein, NREM is divided into three sub-stages: sleep onset period N1, light sleep period N2, and deep sleep period N3.
A waking period. Adults are usually awake for at least 2/3 hours a day, with behavioral cues (including open eyes, movement, and conversation) that illustrate alertness; however, as the activity diminishes, the person may lie down and close both eyes; the wake period can be subdivided into two phases, one being a fully awake state and the other being a snooze state.
Falling asleep period N1. NREM's phase 1 sleep is the typical transition from wakefulness to sleep, where the feeling of drowsiness belongs; at this time, the brain wave starts to change, the frequency gradually slows down, and the amplitude gradually decreases. Stage N1 sleep is light sleep, only a few minutes, a transition from awake to deep sleep; healthy adults with good sleep, sleep time in stage N1 is only 5-10% or less of the total sleep time. During this phase, it is easy to fall asleep and wake up, and during this phase the eyes are moving slowly and the muscles are moving slowly.
Light sleep period N2. NREM's phase 2 sleep accounts for about 50% of human sleep time. During this phase, eye activity ceases, eyelids slowly open and close, brain activity slows, eye movement ceases, body temperature decreases, and breathing is very regular. In the sleep stage of N2, the brain and body gradually enter an unconscious state, and the sleep is light sleep and is easily disturbed by the external environment.
Deep sleep period N3. Phase 3 sleep of NREM is often referred to as "deep sleep" or "slow wave sleep". Stage N3 sleep generally accounts for 10% -20% of the total sleep time of young to middle-aged adults. Phase N3 tends to be more common in the first midnight, particularly the first and second sleep cycles. Although sleeping deeply, muscle tone is maintained to some extent. Being less susceptible to external environment, it is often more difficult to wake a sleeper in stage N3 than it is to wake sleepers in stages N1 and N2, which are considered to be important stages in the repair and recovery of energy of the body, during which the immune system is most active.
And (5) a REM period. The REM stage is characterized in that eyeballs rotate rapidly, the muscle tension of the whole body is reduced extremely, the myoelectric activity is weakened obviously, local movement of limbs or other parts of the body is accompanied occasionally, the heart rate and the respiratory frequency are increased, the blood pressure can be unstable, the penis of a male is erected, and the electroencephalogram shows the characteristics of NREM in the stage I. Normal people generally enter a rapid eye movement sleep period after falling asleep for 90 minutes, and sleep is repeated 4-5 times every night for about half an hour.
Shortly after the human body goes to sleep, the sleep time is N1, which enters NREM sleep from the awake state, enters N2 and N3 in sequence, then returns to N2, the 1 st REM sleep occurs 70-100 minutes after the sleep time is not long, and the sleep time is about 5 minutes before the sleep time enters N2 and N3 again, but the slow sleep time of the period is shorter than that of the previous period, then returns to N2 from N3, and the 2 nd REM sleep time is slightly longer, and about 10 minutes. Regular nightly sleep typically has 4-5 NREM/REM cycles per day, with a complete sleep cycle typically lasting 90-110 minutes. When the sleep is just started, the REM sleep period of the first period is shorter, and the NREM sleep period is longer; as the sleep time is prolonged, the REM sleep period is gradually prolonged, while the NREM sleep period is gradually shortened; by the time of morning, slow wave sleep no longer occurs. Of these, REM sleep and slow wave sleep are important to the quality of a person's sleep.
The most core approaches to sleep improvement have also been proposed: for high quality sleep, the most critical is 90 minutes in the early stages of sleep, called "golden 90 minutes". Furthermore, from known industry studies, it is known that the period N3 is the longest in the first sleep cycle and then gradually decreases, and there is little deep sleep in the following sleep cycles starting from the 3 rd sleep cycle. Generally, the sleeping time of an ordinary person is about 10-15 minutes, the longer the sleeping time is, the more anxiety is easily generated, and the more anxiety is, the more difficulty in falling asleep is reduced. Therefore, the ability to quickly fall asleep and quickly enter phase N3 of the first sleep cycle after entering bed is particularly critical to improving sleep.
The invention relates to a sleep improvement system and a sleep improvement method, which mainly solve the problem of entering a deep sleep period quickly, healthily and safely after going to bed. And in the present invention, the lead stimulation behavior time preferably means to enter the N1 sleep-in period from the snooze period of the awake stage of the first sleep cycle, to enter the N2 light sleep period from the N1 sleep-in period, to enter the N3 deep sleep period from the N2 light sleep period, and to enter the N3 deep sleep period from the N2 light sleep period in the second sleep cycle.
As shown in fig. 1, a sleep improvement system according to the present invention includes: the sleep monitor system comprises a microcontroller 101, an entering sleep detection unit 102, a sleep physiological data monitoring unit 103, a storage unit 104 and a director unit 105, wherein each unit module executes corresponding functions thereof, which is described in detail as follows.
An entering-sleep detection unit 102 that detects an entering-sleep state index value and sets an entering-sleep threshold value by at least one sensor to determine whether or not the individual user enters sleep.
The sleep physiological data monitoring unit 103 starts to monitor physiological data in real time after the individual goes to bed through at least one sensor, and stores the physiological data in the storage unit 104. Wherein the physiological data comprises the time when the brain is in dormancy/begins, the activity after the brain is dormant, the body motion state, the breathing frequency, the heartbeat frequency and the like.
The storage unit 104 is configured to store the bedtime signal data and the sleep physiological data of the user, provide the data to the microcontroller 101 for sleep analysis, store the guidance and stimulation guidance path and the stimulation guidance effect feedback during the period of time, store the sleep data, guidance path and adjustment record under the condition of natural sleep of the individual, and store the guidance paths and the sleep improvement effect feedback under the path.
A microcontroller 101 comprising a control program that presets an algorithm to determine a current sleep state and time period of the user by processing and analyzing physiological data, the current sleep state being based on at least one detected physiological characteristic measured by at least one sensor; in addition, the control program filters and analyzes real-time user individual respiration data provided by the physiological data monitoring unit to generate real-time stimulation parameters, and simultaneously calls corresponding guide paths and stimulation guide parameters according to the current sleep stage state to converge the guide paths and the stimulation guide parameters so as to generate a complete stimulation instruction; and the control program sets and generates an initial guidance path for guiding from a current sleep session to a next sleep session according to natural sleep habits of a user observed in advance, wherein the control program further comprises: a comparison program programmed to average the time required to go from one sleep session to the next per day in a certain period under the current guideline path and to compare the difference with the time required for a sleep state change in the previous natural sleep session or the time required for a sleep state change in the previous guideline path working session; and an optimization program programmed to adjust the stimulation guidance parameters according to a preset rule to generate a new guidance path and compare the variation of the time saved by the new guidance path and the old guidance path until the compared variation of the time saved does not exceed a preset tolerance and the comprehensive value of the frequency and the risk degree of the physiological abnormal phenomena such as too slow respiration occurring in the stage variation does not exceed the set tolerance, so as to determine the old guidance path as the optimal guidance path of the user during the period from the sleep period to the next sleep period, wherein the optimization program is programmed to continuously output the new guidance path according to the preset rule to participate in the optimization process before the optimal guidance path is not obtained.
A guide unit 105; according to the real-time stimulation instruction provided by the microcontroller, real-time continuous stimulation is provided for the user, the respiration and heart rate of the user gradually slow down and the body relaxes through real-time guiding and adjustment of respiration section, so that the user quickly falls asleep and improves sleep.
As shown in fig. 2, in another embodiment, the sleep improvement system further includes a data editing unit 106, after the test data obtained by the sleep improvement system of the user is debugged and improved under the coordination of the microcontroller 101, the comprehensive average human physiological sleep parameters are obtained, the physiological data are positioned to the standard reference value of a certain user and used as the comparison threshold, and under the coordination of the microcontroller, the planned standard reference value is entered into the sleep improvement system through the editing unit 106 and stored in the storage unit 104. When the sleep state judging device is used, the microcontroller 101 calls the standard reference value, compares the standard reference value with the sleep physiological data of the user collected in real time, and outputs a comparison result to judge the sleep state of the user. In addition, according to the sleep state change of each guiding path of the user, the stimulation guiding parameters are edited and adjusted to generate a new guiding path, and the parameters comprise the breathing delay time, the breathing time ratio and the like of each stage.
In another embodiment, as shown in fig. 3, the sleep improvement system further comprises an emergency processing unit 107 for performing an alarm prompt according to an alarm instruction issued by the microcontroller 101 when an abnormal state occurs in sleep. For example, when a user suddenly has a physiological function abnormality of a human body in a sleep stage, such as tachypnea, too low breathing frequency, and apnea abnormality, and the comprehensive value of the frequency and the risk degree of the abnormality exceeds a preset risk threshold, the microcontroller 101 sends a risk alarm instruction to the emergency processing unit 107, and the emergency processing unit 107 outputs an alarm signal, such as a warning signal of sound, light, and the like, or an emergency notification through a short message, so that a parent living in the user or a neighboring neighbor can be obtained at the first time, and corresponding measures can be taken for timely rescuing the physical abnormality of the sleeping user.
As shown in fig. 4, in another embodiment, the sleep improvement system further includes a signal transmitting/receiving unit 108, which includes a transmitting unit and a receiving unit. Under the control of the microcontroller 101, the transmitting unit transmits related data information (e.g., physiological sleep data, alarm information, etc.) to the mobile terminal or the background data processing center of the sleep improvement system, and the receiving unit receives data information (e.g., sleep setting data, sleep control data, call information, etc.) transmitted by the mobile terminal or the background data processing center of the sleep improvement system. The signal sending/receiving unit 108 is used for remotely regulating and controlling the real-time sleep state of the sleeping user and obtaining the sleeping physiological data in time so as to be convenient for reference for the preset physiological data for subsequent sleep regulation; meanwhile, through the signal transmitting/receiving unit 108, the mobile terminal user can also adjust the sleep parameters in time according to the physiological data of the sleeping user, and perform adaptive adjustment after transmitting through the remote wireless signal, so as to achieve the purpose of improving the optimal sleep state of the sleeping user. Wherein, the wireless signal can be infrared, bluetooth, WIFI etc. signal.
As shown in fig. 5a, the present invention also provides a sleep improvement method, comprising the following steps:
s1, detecting entering sleep: collect bedding system or environment of sleeping to human environment index of sleeping through the sensor to compare with the threshold value of going into to sleep of predetermineeing, judge whether the human body needs to go into to sleep.
S2, acquiring sleep physiological data: after the user enters the sleep, the physiological data (such as respiration, heart rate, body temperature and the like) of the human body are collected in real time and stored for later use.
S3, judging the current sleep stage of the user: the sleep cycle and the specific sleep stage of the user are judged according to a preset sleep stage confirmation algorithm by continuously monitoring and analyzing the physiological data of the user after sleeping.
S4, calling a guidance path corresponding to the sleep stage: calling an initial guidance path corresponding to the sleep stage or an optimal guidance path and stimulation guidance parameters of the sleep stage after subsequent optimization and adjustment according to the state of the current sleep stage; wherein, the corresponding guiding path and the stimulation guiding parameter are called by the microcontroller.
S5, acquiring a stimulation instruction of the current respiratory cycle: and filtering and analyzing the real-time physiological data of each respiratory cycle to generate real-time stimulation parameters, converging the guide path and the stimulation guide parameters in the S4, and acquiring a real-time stimulation instruction of the respiratory cycle.
S6, providing continuous stimulation by the guider: the guiding unit 105 provides continuous stimulation as positive and negative stimulation (negative stimulation can also be zero stimulation) according to the respiratory cycle stimulation instruction under the current guiding path, guides and adjusts the breathing nodes of the user in real time, and gradually adjusts the breathing of the user one by one, so that the user can gradually slow down, thereby quickly falling asleep and improving sleep.
S7, storing and recording the guiding path and the stimulation guiding parameters at the stage and guiding the result: the memory records the guiding path of the sleep stage, the guiding path and corresponding stimulation guiding parameters, the physiological data of the stage and the result data of the change of the sleep stage.
In the step S6, the stimulation is sensory stimulation, each stimulation period is divided into two phases, and the two phases respectively correspond to an inhalation process and an exhalation process in a human body breathing period, one is a positive stimulation phase, the other is a negative stimulation phase, and the negative stimulation can also be zero stimulation; in each stimulation period, the positive stimulation time corresponds to the inspiration phase time of the user and is added with inspiration delay time, and the negative stimulation time corresponds to the expiration phase time of the user and is added with expiration delay time. The continuous stimulation provided by the guider unit comprises vibration, temperature, sound and the like, namely, any one stimulation form can be adopted singly, and a plurality of combinations can also act together.
As shown in fig. 5b, in the sleep improvement method according to an embodiment, after the sleep behavior improvement step, the method further includes the following steps:
s8, editing and adjusting the guide path and the stimulation guide parameters: the device is used for editing stimulation guide parameters related to sleep improvement timely according to the sleep state change result and physiological abnormal conditions appearing in the sleep stage to generate a new guide path, and storing the new guide path in a storage unit.
As shown in fig. 5c, in another embodiment, the sleep improvement method further includes, after the sleep behavior improvement step, the following steps:
s9, wireless signal transmitting and receiving: the system comprises a mobile terminal or a background data processing center for sending related data information to the sleep improvement system and a data receiving and processing center for receiving the data information sent by the mobile terminal or the background data processing center of the sleep improvement system.
As shown in fig. 5d, in another embodiment, the sleep improvement method further includes the following steps after step S9:
s10, body abnormity warning step: and is used for alarming and prompting according to an alarm instruction sent by the microcontroller 101 when the abnormal state occurs in sleep. For example, when a user suddenly has a physiological function abnormality of a human body in a sleep stage, such as tachypnea, too low breathing frequency, and apnea abnormality, and the comprehensive value of the frequency and the risk degree of the abnormality exceeds a preset risk threshold, the microcontroller 101 sends a risk alarm instruction to the emergency processing unit 107, and the emergency processing unit 107 outputs an alarm signal, such as a warning signal of sound, light, and the like, or an emergency notification through a short message, so that a parent living in the user or a neighboring neighbor can be obtained at the first time, and corresponding measures can be taken for timely rescuing the physical abnormality of the sleeping user.
As shown in fig. 6, it is preferable that original state sleep data of a user needs to be collected and analyzed, individual characteristic parameters required by a user guidance route are obtained, real-time sleep state data and complete respiratory cycle data of the user are obtained at the same time, a stimulation instruction of each stimulation cycle of a sleep stage to be adjusted is determined and assigned to a guidance unit, and the guidance unit provides continuous stimulation according to the real-time stimulation cycle instruction, guides the user to slow down a breathing rhythm and a heart rate, gradually relax and rapidly enter a next sleep stage. The method comprises the following specific steps:
s11, judging whether the user is sleeping: the in-sleep detection unit 102 detects index data in bedding or in a sleeping environment in real time through a sensor, and when the index reaches a threshold value, the sleep physiological data monitoring unit 103 starts to start working after judging that the human body is in sleep.
S12, sleep onset physiological data monitoring: after the sleep physiological data monitoring unit 103 is started, the sleep state and physiological signals such as respiration, heart rate, body movement, temperature and the like of a human body are tracked in real time; and can be used as feedback to determine the effect of subsequent motion adjustments.
In step S12, the method further includes the steps of:
s121, judging whether to enter a sleep stage to be improved: the microcontroller 101 acquires the data of S12 and determines whether the sleeper is in a preset sleep stage to be adjusted by a predetermined sleep determination algorithm, which preferably includes entering a sleep stage N1 from the waking stage of the first sleep cycle, entering a sleep stage N2 from the sleep stage N1, entering a sleep stage N3 from the sleep stage N2, and entering a sleep stage N3 from the sleep stage N2 in the second sleep cycle.
S122 acquires the stage guidance path and the stimulation guidance parameters. When the microcontroller 101 retrieves the physiological data of S12 to determine that the current sleep stage of the user is in the stage to be adjusted, the initial guidance path and stimulation guidance parameter of the stage are retrieved or the adjusted optimal guidance path and stimulation guidance parameter are optimized for the stimulation instruction.
The S13 storage unit stores various physiological data of the human body monitored in the S12 in real time, wherein the physiological data comprise data of sleep stages, respiration, heart rate, body movement, temperature and the like in a recording time period.
S14 acquiring real-time respiratory heart rate data: the physiological monitoring unit 103 provides real-time user respiration data, and the real-time complete respiration data is obtained through data filtering of the microcontroller. The microcontroller 101 performs analog-to-digital conversion on a sensor signal accessed by the signal conditioning circuit, acquires real-time respiration and heart rate variation waveforms of the human body, filters out other interference items, and finally acquires relevant specific data (such as expiration phase time, inspiration phase time and the like) required by a real-time stimulation instruction in each respiration of the human body.
The S15 microcontroller 101 obtains the real-time stimulation parameters of the stimulation period according to the relevant specific data in each breathing period in the step S14, and outputs the complete stimulation instruction in combination with the guidance path and the stimulation guidance parameters of the sleep stage obtained in the step S122, where the stimulation guidance parameters include the delay time of the sleep stage.
The S16 guide unit generates continuous stimulation according to the stimulation instruction, the stimulation period includes a positive stimulation phase and a negative stimulation phase, which respectively correspond to the inhalation phase and the exhalation phase of the user, and the negative stimulation can be zero stimulation. The stimulation behavior of each stimulation period is generated according to the current sleep stage and the real-time expiration period of the user, and the gradual stimulation of one period after another guides the user to slow down the breathing rhythm and the heart rate and gradually relax and quickly enter the next sleep stage.
The S17 physiological data monitoring unit 103 monitors various physiological data of the stimulation phase in real time.
The S18 guiding unit provides a stimulation stage, the microcontroller 101 tracks and monitors physiological abnormal phenomena of sleep stages such as apnea and hypopnea according to real-time monitoring data, and judges whether the comprehensive value of the frequency and the risk degree of the abnormal phenomena exceeds a preset dangerous apnea threshold value or not in real time. If the danger pause threshold value is exceeded, the guidance path needs to be adjusted, and a guidance path with one less specification of the total delay time value is reselected as a new guidance path at the stage S22; if not, proceed to S19 following the current guideline path.
S19 continues to provide stimulation continuously in accordance with the stimulation instructions generated at S15.
The S20 microcontroller 101 monitors real-time physiological data, determines a new sleep stage according to a predetermined algorithm, and determines whether to enter a preset next sleep stage. If the sleep stage changes, the stage guidance behavior is ended. If the sleep stage has not changed and the lead unit continues to provide stimulation according to the current guideline, return to step S16.
S21 when the micro-controller 101 determines that the user enters the next sleep stage from the current sleep stage through the guiding adjustment by monitoring the physiological data, the guiding adjustment action of the current stage is ended. The storage unit 104 records the stage guidance path and stimulation guidance parameters, and the sleep improvement result. The sleep improvement results include the amount of time that the sleep session changes, and the like.
S22, if the micro-controller 101 finds that the frequency and danger degree comprehensive value of the physiological abnormal phenomenon in the sleep adjustment stage exceeds the preset threshold value, the stimulation adjustment of the current guidance path is finished, the stimulation guidance parameter is adjusted according to the preset rule, and a new guidance path is generated for the micro-processor to recall. If the coaching path and corresponding stimulation coaching parameters already exist before, they are directly invoked.
The writing implementation process of the sleep improvement system is as follows:
the microcontroller 101 adjusts the delay time value according to the reduced sleep time value (the initial value of the time for the sleep state to change is the time required for the change under the natural sleep) when the user averagely enters the next sleep stage from one sleep stage in one cycle according to the front and back guidance paths until the optimal delay time parameter of the individual is obtained and stored in the storage unit or the cloud. After the delay time parameter is adjusted to generate a new guidance path (if the new guidance path exists, the new guidance path is directly called), the microcontroller compares an average saved time value of a sleep state change in the next period of the guidance path with an average saved time value of an old guidance path, if the saved time is increased, the increase and decrease direction of the delay time parameter adjustment is opposite, and the delay time parameter can be continuously adjusted in the same direction; if the saved time is reduced, the increase and decrease direction of the delay time parameter adjustment is wrong, and the delay time parameter needs to be adjusted in the opposite direction. The microcontroller has preset the range of variation of the total delay time, and the time interval value for each adjustment. And adjusting the total delay time through one period or multiple periods in sequence until the time difference value of the sleep state change of the previous and the next two periods under the new and the old guiding paths is less than or equal to the preset minimum change threshold value of the saving time, so that the old guiding path in the previous period is the optimal guiding path.
After the optimal guidance path is determined, stage observation and adjustment are needed in the later period. When the subsequent microcontroller 101 monitors that the user enters the state to be adjusted, the corresponding optimal guidance path is called to operate, and after each operation period, the comprehensive value of the current danger degree of the physiological abnormality and the improvement result are analyzed. If the comprehensive value of the risk degree of the physiological abnormality in the period exceeds the threshold value of the risk degree, the total delay time is reduced according to a preset rule to adjust the guidance path, the new guidance path is taken as the optimal guidance path, and if the guidance path exists before, the guidance path is directly called. If the physiological phenomenon abnormal risk degree threshold value is not exceeded, the sleep improvement result is compared with the improvement result under the optimal guidance path. If the improvement result does not vary beyond the minimum variation threshold, the optimal guidance path is unchanged. And if the time saving amount in the new operation period is increased and exceeds the minimum change threshold value, the optimal guidance path is not changed, and the sleep data and the improvement result under the optimal guidance path are updated. If the time saving amount in the new operation cycle is reduced and exceeds the minimum change threshold, the delay time is required to be adjusted to review the improvement result again until the delay time with the current stage time saving amount and the risk degree not exceeding the threshold and the corresponding guidance path are found, and the path is taken as a new guidance path.
The optimization step considers the sleeping habits of the user under the natural sleeping condition and the staged sleeping habit change of the user, simultaneously ensures the safety of the user sleeping stage under each condition, dynamically confirms and adjusts the optimal guidance path, and ensures that the guidance path is suitable for the current sleeping habits and states of the user.
It should be understood that the above description is illustrative of the preferred embodiment of the present invention and is not to be construed as limiting the scope of the invention, which is defined by the appended claims.
Claims (10)
1. A sleep improvement system is characterized by comprising an in-sleep detection unit, a sleep physiological data monitoring unit, a storage unit, a microcontroller and a guider unit; wherein:
the in-sleep detection unit is used for detecting the index of the sleeping environment through at least one sensor and setting an in-sleep threshold value to judge whether the user goes to sleep or not;
the sleep physiological data monitoring unit is used for monitoring physiological data in real time after a user goes to bed and storing the physiological data in the storage unit;
the storage unit is used for storing the bedtime signal data and the sleep physiological data of a user within a period of time, the guiding stimulation guidance path and the effect feedback after guidance within the period of time, and the guidance path and stimulation guidance parameter adjustment record and the corresponding executed effect record;
the microcontroller judges the sleep stage state of the user by processing the physiological data, calls a corresponding guide path and a stimulation guide parameter according to the current sleep stage state, simultaneously filters and analyzes real-time user individual respiration data provided by the sleep physiological data monitoring unit to generate a real-time stimulation parameter for guiding stimulation by the guider unit, converges the guide path and the stimulation guide parameter and generates a real-time stimulation instruction;
the guider unit provides real-time continuous stimulation for the user according to the real-time stimulation instruction provided by the microcontroller, and the respiration and heart rate of the user gradually slow down and the body relaxes through real-time guiding and adjustment of respiration section, so that the user quickly falls asleep and improves sleep.
2. The sleep improvement system according to claim 1, further comprising a data editing unit for editing the stimulation guidance parameters related to the adjustment to generate a new guidance path according to the natural sleep habits of the user, the sleep state and the physiological data of each guidance path.
3. The sleep improvement system according to claim 1, further comprising an emergency processing unit for performing emergency processing and alarm prompting according to an alarm instruction issued by the microcontroller when an abnormal state occurs during sleep.
4. The sleep improvement system according to claim 1, further comprising a signal transmitting/receiving unit, wherein under the control of the microcontroller, a transmitting unit in the unit transmits related data information to a mobile terminal or a background data processing center in signal connection with the sleep improvement system, and a receiving unit in the transmitting/receiving unit receives data information transmitted by the mobile terminal or the background data processing center in signal connection with the sleep improvement system.
5. A sleep improvement method, comprising the steps of:
detecting the sleeping environment: collecting the sleeping environment indexes of the user, and comparing the sleeping environment indexes with a preset sleeping threshold value to judge whether the user goes to sleep;
a sleep physiological data acquisition step: collecting user physiological data in real time after the user goes to bed, and storing for later use; stopping data acquisition when the user leaves the sleeping state, and continuing to acquire the data after the user enters the sleeping state again;
judging the current sleep stage of the user: continuously monitoring and analyzing physiological data of a user after sleeping, and judging the current sleep cycle and the specific sleep stage of the user according to a preset sleep stage confirmation algorithm;
and calling a corresponding guide path: calling an initial guidance path corresponding to the sleep stage or an optimal guidance path and stimulation guidance parameters of the sleep stage after subsequent optimization and adjustment according to the state of the current sleep stage;
acquiring a stimulation instruction of the current respiratory cycle: filtering and analyzing real-time physiological data of each respiratory cycle to generate real-time stimulation parameters, converging the guide path and the stimulation guide parameters, and acquiring a real-time stimulation instruction of the respiratory cycle;
the guide provides a continuous stimulation step: providing continuous stimulation as positive and negative stimulation according to the respiratory cycle stimulation instruction under the current guidance path, guiding and adjusting the respiratory joints of the user in real time, and performing periodic gradual adjustment to gradually slow the respiration of the user so as to quickly fall asleep and improve sleep;
storing and recording guide paths, stimulation guide parameters and guide results: storing and recording the guidance path and stimulation guidance parameters of the sleep stage, physiological data and result data of sleep period change.
6. The sleep improvement method according to claim 5, further comprising the following steps after the step of storing the recorded guidance path and stimulation guidance parameters and guidance results:
editing and adjusting guide paths and stimulation guide parameters: the method is used for editing and adjusting the stimulation guidance parameters to generate a new guidance path according to the sleep state change of the user under each guidance path.
7. The sleep improvement method according to claim 6, further comprising the following steps after the step of editing and adjusting the guidance path and the stimulation guidance parameters:
wireless signal transmission/reception step: the system comprises a mobile terminal or a background data processing center for sending related data information to the sleep improvement system and a data receiving and processing center for receiving the data information sent by the mobile terminal or the background data processing center of the sleep improvement system.
8. The sleep improvement method according to claim 7, further comprising, after the wireless signal transmission/reception step, the steps of:
a body abnormity alarming step: and the alarm prompt is carried out according to the alarm instruction sent by the microcontroller when physiological abnormal states such as apnea appear in sleep.
9. The sleep improvement method according to claim 5, wherein the step of determining the current sleep stage of the user further comprises the steps of:
judging whether the user goes to bed: detecting index data in bedding or a sleeping environment in real time through a sensor, and starting a sleep physiological data monitoring unit to work when the index reaches a threshold value and judges that a human body is sleeping;
monitoring physiological data of falling asleep: after the sleep physiological data monitoring unit is started, the sleep state and physiological signals such as respiration, heart rate, body movement, temperature and the like of a human body are tracked in real time; and can be used as feedback to determine the effect of subsequent motion adjustments.
10. The sleep improvement method according to claim 5, wherein the inducer provides continuous stimulation, the stimulation is sensory stimulation, each stimulation period is divided into two phases and respectively corresponds to the inspiration process and the expiration process in the human breathing period, one is a positive stimulation phase, one is a negative stimulation phase, and the negative stimulation can be zero stimulation; in each stimulation period, the positive stimulation time corresponds to the inspiration phase time of the user and is added with inspiration delay time, and the negative stimulation time corresponds to the expiration phase time of the user and is added with expiration delay time.
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