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CN115530753A - Method for establishing database in stable sleep state and using method thereof - Google Patents

Method for establishing database in stable sleep state and using method thereof Download PDF

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CN115530753A
CN115530753A CN202110740801.1A CN202110740801A CN115530753A CN 115530753 A CN115530753 A CN 115530753A CN 202110740801 A CN202110740801 A CN 202110740801A CN 115530753 A CN115530753 A CN 115530753A
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leveling
angle
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bed
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鄢姬铃
许晏菁
陈刚
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Hangzhou Yunshuiba Health Management Co ltd
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4806Sleep evaluation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A61B5/02Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/901Indexing; Data structures therefor; Storage structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
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Abstract

The invention relates to the field of bedstead control methods, in particular to a method for establishing a database for stabilizing a sleep state and a use method thereof. The invention provides an electric bed frame leveling method, which can judge the sleep state according to physiological data of a user, automatically start a leveling program after judging that the user is in the sleep state so as to level the bed frame on the basis of maintaining the stress balance of the upper half body and the lower half body of the user, analyze the change trend of the physiological indexes of the user in the process, predict whether the user can be away from the current sleep state to wake up, correct the leveling program in real time, and achieve the effects of comfortable leveling and stable sleep state.

Description

Method for establishing database in stable sleep state and using method thereof
Technical Field
The invention relates to the field of bedstead control methods, in particular to a method for establishing a database for stabilizing a sleep state and a use method thereof.
Background
With the popularization of electric beds, more and more users begin to get used to sleep in a non-lying posture; (1) in terms of the body, the user lies flat rather than the most relaxed posture, and when the downward force of the upper half of the body along the bed surface and the vertical upward supporting force of the lower half of the body are balanced, the body is in the most relaxed state and is most suitable for falling asleep; (2) psychologically, a user who has difficulty in falling asleep for a long time may combine anxiety emotion generated during the difficulty in falling asleep with a bed, so that the user feels sleepy before getting into the bed and becomes awake after getting into the bed, and for the part of the users, the user is likely to fall asleep on a sofa, so that a sleeping situation of lying on a bed is required to be created; (3) in addition, some users who are used to relax activities such as watching television and playing mobile phones in bed before sleeping may unconsciously sleep in bed; after falling asleep, the body can change the sleeping posture by turning over to relieve the situation because muscle fatigue and unsmooth blood circulation caused by keeping the same posture for a long time, so that in order to facilitate turning over in the sleeping process, a user needs to flatten the bed frame after sleeping; the emphasis in the leveling process is not to disturb the user's current sleep state.
The prior art can realize the one-key flat function of the electric bedstead, but does not carry out the functional design from the perspective of the background: (1) the one-key flat function can only be manually started by a user and cannot be automatically started according to the sleep state of the user; (2) the bed frame has high adjusting speed, and each bed plate has no coordinated linkage, so that the comfort is insufficient in the leveling process, and the current sleep state of a user is damaged.
Disclosure of Invention
The invention hopes to provide a method for establishing a database in a stable sleep state and a using method thereof, and the specific scheme is as follows:
a method for establishing a database in a stable sleep state comprises the following steps:
1) Recruiting the subjects: collecting the characteristics of each tested individual, removing extreme individuals in the experimental population, and screening to form a homogeneous population;
2) Measuring the relationship between the bedstead angle and the lumbar/cervical curvature:
3) Measuring the bed frame leveling time:
4) Setting two situations, namely a relaxation situation before sleeping and a falling-asleep situation; all the experiments were conducted in the same procedure as the experimental scenario, with one of the two scenarios:
(1) and informing the experiment task that: in a pre-sleep relaxation scenario, the subject is asked to select a pre-sleep habitual relaxation activity (e.g., watching television, playing a cell phone, reading, etc.), and if sleepiness develops during this process, the subject is attempted to fall asleep in the scenario; in the sleeping situation, the user is required to close the eyes to sleep as much as possible, and a certain amount of light music is played;
(2) adjusting the bed frame initial mode: the angle of the bed frame is adjusted according to subjective feeling, and the included angle between the upper half body and the ground is set to be theta after the adjustment is finished 1 The angle between the lower body and the ground is set to theta 2 Calculating the stress ratio Per according to the angle, if the stress analysis result shows that the stress ratio Per is in the comfort range, the angle between the upper body and the lower body does not need to be adjusted, otherwise, the angle is theta 1 And theta 1 Carrying out angle adjustment within the range of up and down 20%, exhausting all combinations by taking 1 degree as a unit, and screening out an angle corresponding to the minimum value within the range of an appropriate proportion as an angle of an initial mode; measuring the curvature of the cervical vertebra H of the current user by simultaneously using a cervical/lumbar curvature meter 1 And lumbar curvature H 2 (unit cm), adjusting the height of the cervical vertebra bed plate to H 1 The height of the bed board corresponding to the lumbar vertebra is H 2 (ii) a Calculating the range of the initial mode angle in the homogeneity group, and taking the intermediate value as the initial angle when the user actually uses the initial mode angle;
ratio of forces
Figure BDA0003141345160000031
Wherein M is 1 For upper body weight, M 2 The weight of the lower body;
(3) wearing equipment monitoring data:
(4) calculating the leveling speed of the bed plate: when the brain wave data of the user is displayed in one frame, 1 frame is 10-30 seconds, the symbol T is used bw Indicating that when 1 or more K complex waves or 1 or more spindle waves appear, the user is judged to be in the N2 period of sleep, and simultaneously the bed frame leveling program starts to be started; the target stroke of the flat is about to form the upper body included angle theta 1 Angle theta with the lower body 2 Adjusting to 0 degree, adjusting the corresponding bed plates of cervical vertebra and lumbar vertebra to 0cm, setting the time to be T' (unit: second), adjusting all the bed plates simultaneously when setting, and calculating the upper halfThe body, the lower body, the cervical vertebra and the lumbar vertebra correspond to the bed board respectively and correspondingly adjust the speed S θ1 、S θ2 (unit: degree/second), S H1 、S H2 (unit: cm/sec);
Figure BDA0003141345160000032
Figure BDA0003141345160000033
note: t is K Representing the total duration, T, of the K-complex in a frame s The longer the duration of the spindle wave in a frame, the more the user's K-complex or spindle wave in a frame is in the later stage of N2 sleep, i.e. the less easily it is woken up by external stimulus, therefore
Figure BDA0003141345160000041
The correction coefficient of the leveling speed in the real-time leveling process is represented, namely the deeper the N2 stage of the user is, the leveling speed can be properly accelerated, and the accelerated speed is related to the N2 stage depth;
(5) leveling program real-time correction: in the leveling process, if the user turns from the sleep state to be awake (the eyes are opened, obvious body movement occurs, the alpha brain wave ratio in one frame of brain wave data is more than or equal to 50 percent, and any standard is met, the leveling program is stopped until the user enters the N2 period again, the step (4) is repeated, and leveling is started again until the bed frame is leveled; calculating the variation trends of the heart rate, the respiration and the myoelectricity in the period by taking the time of starting to lay flat as a starting point and the time of waking each time as an ending point; if the person to be tested is awake more than once in the whole leveling process, averaging the change trend of each time; finally, carrying out average treatment in a homogeneous population;
the individual characteristics of the step (1) of establishing the database are height, upper body weight, lower body weight and cervical/lumbar curvature.
The method for eliminating the extreme individuals in the experimental population in the step (1) of establishing the database comprises the following steps: 1. confirming individual characteristics, and carrying out quantitative measurement on each index in sequence; 2. calculating the average and standard deviation of all the people on each index, and when any index in any experimenter exceeds the range of the average plus or minus 1 standard deviation, the experimenter is regarded as an extreme individual to be removed; 3. the remaining people after culling constitute a homogeneous population participating in the experiment.
The concrete method for measuring the relation between the bedstead angle and the lumbar/cervical curvature in the step (2) of establishing the database comprises the following steps: measuring physiological curvatures (unit: cm) of cervical vertebra and lumbar vertebra of the upper half of a user in four different states of 90 degrees (vertical), 60 degrees, 30 degrees and 0 degrees (horizontal), substituting data into a formula 3 and a formula 4, and calculating a weight coefficient between a bedstead angle and the cervical vertebra/lumbar vertebra curvature;
formula 3 cervical curvature H1= cervical curvature when upright- (β 1 x bed frame upper body angle)
Formula 4 lumbar curvature H2= lumbar curvature when upright- (β 2 x bed frame upper body angle)
Wherein, the beta 1 is the weight of the angle of the bed frame to the curvature of the cervical vertebra; beta 2 is the weight of the bed frame angle to the lumbar curvature. (note: the curvature of the cervical and lumbar vertebrae is maximized when standing, and minimized when lying, because the load-bearing of the cervical and lumbar vertebrae is maximized when standing, and therefore as the angle of the frame is changed, the closer the state of the frame is to lying, the smaller the curvature of the cervical and lumbar vertebrae of the user is, the smaller the change range is in linear relation to the angle of the upper half of the frame, and the smaller the angle of the frame of the upper half is, the smaller the curvature is).
The concrete steps of the step (3) of establishing the database are as follows: the average value of the duration time of the first N2 phase of the evening of the homogeneous group is used as the base time for leveling the bed frame, so that the leveling program does not influence the deep sleep of the user;
(1) wearing sleep stage monitoring equipment, heart rate monitoring equipment, respiration monitoring equipment and myoelectricity monitoring equipment for a test subject, and requiring the test subject to fall asleep in a lying state;
(2) retrospective sleep stage interpretation is carried out every other day, and the first N2 stage duration time T (unit: second) of the night sleep of the tested person is screened out; and heart rate HR, respiration RESP, electromyographic data EMG of the user in a first N2 phase;
(3) calculating the mean value T' of the duration T of the first N2 phase in the homogenous population; and mean values HR ', RESP', EMG 'and standard deviations SD-HR', SD-RESP ', SD-EMG' of heart rate HR, respiration RESP, electromyographic data EMG in the population.
In the step (4) of establishing the database, the comfort range of the bed frame in the initial mode is adjusted by the step (2): the stress ratio Per0.1-1 in the sleep state and Per1.1-2.5 in the relaxation state.
The step (5) of establishing the database is that the ratio of alpha brain waves in one frame of the data of open eyes, obvious body movement and brain waves is more than or equal to 50%, and the clear-wake state is determined when any standard is met.
The step (3) of establishing the database is that the wearing equipment monitoring data in the step (4) are specifically as follows: the experimental device is characterized in that a tested wearing brain wave monitoring device, a heart rate monitoring device, a respiration monitoring device and a myoelectricity monitoring device respectively monitor brain wave data, heart rate data, respiration data and myoelectricity data of a user in the whole experimental process;
a method for using a database in a stable sleep state comprises the following steps:
1) When the user uses the method, the homogeneity group matching characteristics are filled in the program, and the system automatically performs group matching, so that a group data packet is extracted;
2) The user selects a contextual mode (relaxed or asleep), and the program automatically adjusts according to the initial mode angle in the group data packet;
3) The bed monitoring equipment is automatically started and comprises electroencephalogram monitoring equipment, heart rate monitoring equipment, respiration monitoring equipment and myoelectricity monitoring equipment; monitoring procedure with T bw Performing retrospective analysis for one frame, judging that the user is in the sleeping N2 stage when real-time monitoring data in two consecutive frames meet any one of the following standards in the past, and starting a leveling program: (1) the brain wave data has 1 or more K complex waves or 1 or more spindle waves; (2) any two of the three physiological indexes of heart rate, respiration and myoelectricity are in HR '+/-SD-HR', RESP + -SD-RESP', EMG ± SD-EMG';
4) The target stroke of the leveling is that the upper half body included angle theta 1 and the lower half body included angle theta 2 are adjusted to 0 degree, the corresponding bed plates of the cervical vertebra and the lumbar vertebra are adjusted to 0cm, the leveling time is T', all the bed plates are adjusted simultaneously during leveling, and the corresponding adjusting speeds S of the corresponding bed plates of the upper half body, the lower half body, the cervical vertebra and the lumbar vertebra are respectively adjusted according to the formula 2 θ1 、S θ2 、S H1 、S H2 Flatly placing the bed frame according to the corresponding speed;
5) And analyzing the brain wave data and the change trend of the physiological indexes of the user in real time in the leveling process, if the change trend meets the wakefulness change trend, predicting that the user is about to wake up, stopping the leveling program, and starting the leveling program again until the physiological data of the user is restored to the range of the N2 period until the bed frame is completely leveled. The user is predicted to wake up in compliance with any one of the following criteria: (1) according to a frame duration T bw Analyzing the brain wave state retrospectively at regular intervals, if the alpha brain wave ratio is more than or equal to 50 percent; (2) when any two of the three physiological indexes of heart rate, respiration and electromyography are out of the ranges of HR '+ -SD-HR', RESP + -SD-RESP 'and EMG + -SD-EMG';
the invention provides a method for leveling an electric bed frame, which can judge the sleep state according to physiological data of a user, automatically start a leveling program after judging that the user is in the sleep state so as to level the bed frame on the basis of maintaining the stress balance of the upper half body and the lower half body of the user, analyze the change trend of the physiological indexes of the user in the process, predict whether the user can be away from the current sleep state to wake up or not, correct the leveling program in real time so as to achieve the effects of comfortable leveling and stable sleep state; the electric bed frame leveling method has the following advantages:
1. when a user sleeps on the electric bed in a non-lying posture (for example, sleeps in a relaxing situation such as watching television, listening to music, playing a mobile phone and the like), if the user simply lies flat by one key, discomfort caused by sudden change of posture and weightlessness caused from top to bottom when the speed is improper influence on disturbing the current sleep state and even cause difficulty in falling asleep again, and the situation is particularly obvious for middle-aged and elderly people or insomnia groups with shallow sleep; the bed frame leveling method provided by the invention can adjust and correct in real time according to the current sleep state of a user, so that the effects of comfortable leveling and sleep state stabilization are achieved;
2. the current society is commonly suffered from sleep delay phenomenon, namely, electronic equipment such as a mobile phone and the like is played on a bed before sleep, and is reluctant to fall asleep after delay, so that the sleep is insufficient; the bed frame leveling method provided by the invention can be automatically started according to the time set by a user, the posture of the human body is slowly changed into a posture which is not suitable for playing a mobile phone but more suitable for relaxing and falling asleep by changing the posture of the bed frame, and the function of prompting falling asleep is realized by matching with the change of light in a bedroom.
Detailed Description
A method for establishing a database in a stable sleep state and a using method thereof comprise the following steps: firstly, establishing a database
1) Recruiting the subjects: collecting the characteristics of each tested individual, removing extreme individuals in the experimental population, and screening to form a homogeneous population;
the method for eliminating the extreme individuals in the experimental population comprises the following steps: 1. confirming individual characteristics, and carrying out quantitative measurement on each index in sequence; 2. calculating the average and standard deviation of all the people on each index, and when any index in any experimenter exceeds the range of the average plus or minus 1 standard deviation, the experimenter is regarded as an extreme individual to be removed; 3. the remaining people after culling constitute a homogeneous population participating in the experiment.
2) Measuring the relationship between the bedstead angle and the lumbar/cervical curvature:
the concrete method for measuring the relationship between the bedstead angle and the lumbar/cervical curvature in the step (2) of establishing the database comprises the following steps: measuring physiological curvatures (unit: cm) of cervical vertebra and lumbar vertebra of a user in four different states of 90 degrees (vertical), 60 degrees, 30 degrees and 0 degrees (horizontal) by using a cervical vertebra/lumbar curvature instrument, substituting data into a formula 3 and a formula 4, and calculating a weight coefficient between a bedstead angle and the cervical vertebra/lumbar curvature;
formula 3 cervical curvature H1= cervical curvature when upright- (β 1 x bed frame upper body angle)
Formula 4 lumbar curvature H2= lumbar curvature when upright- (β 2 x bed frame upper body angle)
Wherein, the beta 1 is the weight of the angle of the bed frame to the curvature of the cervical vertebra; beta 2 is the weight of the bed frame angle to the lumbar curvature. (note: the curvature of the cervical and lumbar vertebrae is maximized when standing, and minimized when lying, because the load-bearing of the cervical and lumbar vertebrae is maximized when standing, and therefore as the angle of the frame is changed, the closer the state of the frame is to lying, the smaller the curvature of the cervical and lumbar vertebrae of the user is, the smaller the change range is in linear relation to the angle of the upper half of the frame, and the smaller the angle of the frame of the upper half is, the smaller the curvature is).
3) Measuring the bed frame leveling time:
the concrete steps of the step (3) for establishing the database are as follows: the average value of the duration time of the first N2 period of the evening of the homogeneous group is used as the base time for leveling the bed frame, so that the deep sleep of a user is not influenced by the leveling program;
(1) wearing sleep stage monitoring equipment, heart rate monitoring equipment, respiration monitoring equipment and myoelectricity monitoring equipment for a test subject, and requiring the test subject to fall asleep in a lying state;
(2) retrospective sleep stage interpretation is carried out every other day, and the first N2 stage duration time T (unit: second) of the night sleep of the testee is screened out; and the heart rate HR, the respiration RESP and the electromyographic data EMG of the user in the first N2 phase (the comfort range of the initial mode of the adjusting bed frame is Per0.1-1 of the stress ratio of the sleep situation and Per1.1-2.5 of the stress ratio of the relaxation situation);
(3) calculating the mean value T' of the duration T of the first N2 phase in the homogenous population; and mean values HR ', RESP', EMG 'and standard deviations SD-HR', SD-RESP ', SD-EMG' of heart rate HR, respiration RESP, electromyographic data EMG in the population.
4) Setting two situations, namely a relaxation situation before sleep and a falling-asleep situation; all the subjects selected one of the two scenarios as experimental scenario, and the procedure of the experiment was the same:
(1) and informing the experiment task: in a pre-sleep relaxation scenario, the subject is asked to select a pre-sleep habitual relaxation activity (e.g., watching television, playing a cell phone, reading, etc.), and if sleepiness develops during this process, the subject is attempted to fall asleep in the scenario; in the sleeping situation, the eyes of the person to be tested are required to be closed to enable the person to sleep as much as possible, and some light music is selected to be played;
(2) (2) adjusting the bed frame initial mode: the angle of the bed frame is adjusted according to subjective feeling, and the included angle between the upper half body and the ground is set to be theta after the adjustment is finished 1 The angle between the lower body and the ground is set to theta 2 Calculating the stress ratio Per based on the angle, and if the stress analysis result shows that the stress ratio Per is in the comfort range, adjusting the included angle between the upper body and the lower body is not needed, otherwise, the included angle is theta 1 And theta 1 Carrying out angle adjustment within the range of up and down 20%, exhausting all combinations by taking 1 degree as a unit, and screening out an angle corresponding to the minimum value within the range of an appropriate proportion as an angle of an initial mode; measuring the curvature of the cervical vertebra H of the current user by simultaneously using a cervical/lumbar curvature meter 1 And lumbar curvature H 2 (unit cm), adjusting the height of the cervical vertebra bed plate to H 1 The height of the bed board corresponding to the lumbar vertebra is H 2 (ii) a Calculating the range of the initial mode angle in the homogeneity group, and taking the intermediate value as the initial angle when the user actually uses the initial mode angle;
ratio of forces
Figure BDA0003141345160000101
Wherein M is 1 For upper body weight, M 2 The weight of the lower body;
(3) wear equipment monitoring data (the equipment to be tested of wearing brain wave monitoring equipment, heart rate monitoring equipment, respiration monitoring equipment, myoelectricity monitoring equipment, respectively monitoring the user's brain wave data, heart rate data, respiration data, myoelectricity data in the whole experimental process):
(4) calculating the leveling speed of the bed plate: when the brain wave data of the user is displayed in one frame, 1 frame is 10-30 seconds, the symbol T is used bw Indicating that when 1 or more K complex waves or 1 or more spindle waves appear, the user is judged to be in the N2 period of sleep, and simultaneously the bed frame leveling program starts to be started; the target stroke of the flatting is about to form the upper body included angle theta 1 Angle theta with the lower body 2 Adjusting to 0 degree, adjusting the corresponding bed plate of cervical vertebra and lumbar vertebra to 0 degreecm, the flat time is T' (unit: second), all bed plates are adjusted simultaneously when the bed plates are flat, and the adjusting speeds S corresponding to the corresponding bed plates of the upper half body, the lower half body, the cervical vertebra and the lumbar vertebra are calculated respectively θ1 、S θ2 (unit: degree/second), S H1 、S H2 (unit: cm/sec);
Figure BDA0003141345160000111
Figure BDA0003141345160000112
note: t is K Representing the total duration, T, of the K-complex in a frame s The longer the duration of the spindle wave in a frame, the later the current sleep stage of the user is in the N2 sleep stage, i.e. the more difficult the user is to wake up by external stimulus, therefore
Figure BDA0003141345160000113
The correction coefficient of the leveling speed in the real-time leveling process is represented, namely the deeper the N2 stage of the user is, the leveling speed can be properly accelerated, and the accelerated speed is related to the N2 stage depth;
(5) leveling program real-time correction: in the leveling process, if the user turns from a sleep state to be awake (eyes are opened, obvious body movement occurs, the alpha brain wave ratio in one frame of brain wave data is more than or equal to 50 percent, and the user is awake when any standard is met), stopping the leveling program until the user enters the N2 period again, repeating the step (4) to start leveling again until the bed frame is leveled; calculating the variation trends of the heart rate, the respiration and the myoelectricity in the stage by taking the time of starting to lay flat as a starting point and the time of waking each time as an end point; if the person to be tested is awake more than once in the whole leveling process, averaging the change trend of each time; finally, carrying out average treatment in a homogeneous population; the waking state corrected in real time by the flattening program is specifically that the alpha brain wave ratio in one frame of the brain wave data is more than or equal to 50% when eyes are opened and obvious body movement appears, and the waking state is determined when any standard is met.
And secondly, using a database.
The individual characteristics of the step (1) of establishing the database are height, upper body weight, lower body weight and cervical/lumbar curvature.
The specific method of using the database is as follows:
1) When the user uses the method, the homogeneity group matching characteristics are filled in the program, and the system automatically performs group matching, so that a group data packet is extracted;
2) The user selects a contextual mode (relaxed or asleep), and the program automatically adjusts according to the initial mode angle in the group data packet;
3) The bed monitoring equipment is automatically started and comprises electroencephalogram monitoring equipment, heart rate monitoring equipment, respiration monitoring equipment and myoelectricity monitoring equipment; monitoring procedure with T bw Performing retrospective analysis for one frame, judging that the user is in the sleeping N2 stage when real-time monitoring data in two consecutive frames meet any one of the following standards in the past, and starting a leveling program: (1) the brain wave data has 1 or more K complex waves or 1 or more spindle waves; (2) when any two of the three physiological indexes of heart rate, respiration and electromyography are within the ranges of HR '+ -SD-HR', RESP + -SD-RESP 'and EMG + -SD-EMG';
4) The target stroke of the leveling is that the upper half body included angle theta 1 and the lower half body included angle theta 2 are adjusted to 0 degree, the corresponding bed plates of the cervical vertebra and the lumbar vertebra are adjusted to 0cm, the leveling time is T', all the bed plates are adjusted simultaneously during leveling, and the corresponding adjusting speeds S of the corresponding bed plates of the upper half body, the lower half body, the cervical vertebra and the lumbar vertebra are respectively adjusted according to the formula 2 θ1 、S θ2 、S H1 、S H2 Leveling the bed frame according to the corresponding speed;
5) And analyzing the brain wave data and the change trend of the physiological indexes of the user in real time in the leveling process, if the change trend meets the wakefulness change trend, predicting that the user is about to wake up, stopping the leveling program, and starting the leveling program again until the physiological data of the user is restored to the range of the N2 period until the bed frame is completely leveled. The user is predicted to wake up in compliance with any one of the following criteria: (1) according to the duration of each frameInter T bw Analyzing the brain wave state retrospectively at regular intervals, if the alpha brain wave ratio is more than or equal to 50 percent; (2) when any two of the three physiological indexes of heart rate, respiration and electromyography are outside the range of HR '+/-SD-HR', RESP + -SD-RESP 'and EMG + -SD-EMG';
the above-mentioned embodiments are only used for explaining the inventive concept of the present invention, and do not limit the protection of the claims of the present invention, and any insubstantial modifications of the present invention using this concept shall fall within the protection scope of the present invention.

Claims (9)

1. A method for establishing a database in a stable sleep state is characterized by comprising the following steps:
1) Recruiting the subjects: collecting the characteristics of each tested individual, removing extreme individuals in the experimental population, and screening to form a homogeneous population;
2) Measure the relation between bedstead angle and lumbar vertebrae/cervical vertebra curvature:
3) Measuring the bed frame leveling time:
4) Setting two situations, namely a relaxation situation before sleep and a falling-asleep situation; all the subjects selected one of the two scenarios as experimental scenario, and the procedure of the experiment was the same:
(1) informing the experiment task;
(2) adjusting the bed frame initial mode: the bed frame angle is adjusted according to subjective feeling, and the included angle between the upper half body and the ground is set as theta after the adjustment is finished 1 The angle between the lower body and the ground is set to theta 2 Calculating the stress ratio Per based on the angle, and if the stress analysis result shows that the stress ratio Per is in the comfort range, adjusting the included angle between the upper body and the lower body is not needed, otherwise, the included angle is theta 1 And theta 1 Carrying out angle adjustment within the range of up and down 20%, exhausting all combinations by taking 1 degree as a unit, and screening out an angle corresponding to the minimum value within the range of an appropriate proportion as an angle of an initial mode; measuring the curvature of the cervical vertebra H of the current user by simultaneously using a cervical/lumbar curvature meter 1 And lumbar curvature H 2 Adjusting the height of the cervical vertebra bed board to H 1 The height of the bed board corresponding to the lumbar vertebra is H 2 (ii) a Computing initial mode angles in a homogenous populationTaking the intermediate value as the initial angle of the user in actual use;
Figure FDA0003141345150000011
wherein M is 1 For upper body weight, M 2 The weight of the lower body;
(3) wearing equipment monitoring data:
(4) calculating the leveling speed of the bed plate: when the brain wave data of the user is displayed in one frame, the time of 1 frame is 10-30 seconds, and the symbol T is used bw Indicating that when 1 or more K complex waves or 1 or more spindle waves appear, judging that the user is in the N2 period of sleep, and starting a bed frame leveling program at the same time; the target stroke of the flatting is about to form the upper body included angle theta 1 Angle theta with the lower body 2 Adjusting to 0 ℃, adjusting the corresponding bed plates of the cervical vertebra and the lumbar vertebra to 0cm, and leveling for the time that all the bed plates are adjusted simultaneously when leveling, and adjusting speeds corresponding to the upper half body, the lower half body, the cervical vertebra and the lumbar vertebra respectively;
Figure FDA0003141345150000021
Figure FDA0003141345150000022
note: t is K Representing the total duration, T, of the K-complex in a frame s The longer the duration of the spindle wave in a frame, the more the user's K-complex or spindle wave in a frame is in the later stage of N2 sleep, i.e. the less easily it is woken up by external stimulus, therefore
Figure FDA0003141345150000023
The correction coefficient for expressing the leveling speed in the real-time leveling process, namely the deeper the N2 stage of the user is, the leveling speed can be properly acceleratedDegree is related to N2 phase depth;
(5) leveling program real-time correction: in the leveling process, if the user turns from the sleep state to be awake, stopping the leveling program until the user enters the N2 period again, and repeating the step (4) to start leveling again until the bed frame is leveled; calculating the variation trends of the heart rate, the respiration and the myoelectricity in the stage by taking the time of starting to lay flat as a starting point and the time of waking each time as an end point; if the person to be tested is awake more than once in the whole leveling process, averaging the change trend of each time; finally, averaging treatment is carried out in a homogeneous population.
2. The method for building a database of stable sleep states as claimed in claim 1, wherein: the individual characteristics of the step (1) of establishing the database are height, upper body weight, lower body weight and cervical/lumbar curvature.
3. The method for building a database of a stable sleep state as claimed in claim 1, wherein the method for eliminating the extreme individuals in the experimental population in step (1) of building the database is: 1. confirming individual characteristics, and carrying out quantitative measurement on each index in sequence; 2. calculating the average and standard deviation of all the people on each index, and when any index in any experimenter exceeds the range of the average plus or minus 1 standard deviation, the experimenter is regarded as an extreme individual to be removed; 3. the remaining people after culling constitute a homogeneous population participating in the experiment.
4. The method for establishing a database of stable sleeping conditions as claimed in claim 1, wherein the step (2) of establishing the database measures the relationship between the bedstead angle and the curvature of lumbar/cervical vertebrae by: measuring physiological curvatures of cervical vertebra and lumbar vertebra of the upper half of a user in four different states of 90 degrees, 60 degrees, 30 degrees and 0 degrees by using a cervical vertebra/lumbar curvature instrument, substituting data into a formula 3 and a formula 4, and calculating a weight coefficient between a bedstead angle and the cervical vertebra/lumbar curvature;
formula 3 cervical curvature H1= cervical curvature when upright- (β 1 x bed frame upper body angle)
Formula 4 lumbar curvature H2= lumbar curvature when upright- (β 2 x bed frame upper body angle)
Wherein, the beta 1 is the weight of the angle of the bed frame to the curvature of the cervical vertebra; beta 2 is the weight of the bed frame angle to the lumbar curvature.
5. The method for establishing the database in the stable sleep state according to claim 1, wherein the step (3) of establishing the database comprises the following specific steps: the average value of the duration time of the first N2 period of the evening of the homogeneous group is used as the base time for leveling the bed frame, so that the deep sleep of a user is not influenced by the leveling program;
(1) wearing sleep stage monitoring equipment, heart rate monitoring equipment, respiration monitoring equipment and myoelectricity monitoring equipment for a test subject, and requiring the test subject to fall asleep in a lying state;
(2) retrospective sleep stage interpretation is carried out every other day, and the first N2 stage duration time T of the night sleep to be tested is screened out; and heart rate HR, respiration RESP, electromyographic data EMG of the user in a first N2 phase;
(3) calculating the mean value T' of the duration T of the first N2 phase in the homogenous population; and
mean values HR ', RESP', EMG 'of heart rate HR, respiration RESP, electromyographic data EMG in the population, and standard deviations SD-HR', SD-RESP ', SD-EMG'.
6. The method for building a database of stable sleep states as claimed in claim 1, wherein the step (4) of building the database comprises (2) adjusting the comfort range of the bed frame initial mode as follows: the stress ratio Per0.1-1 in the sleep state and Per1.1-2.5 in the relaxation state.
7. The method for establishing a database of stable sleep states as claimed in claim 1, wherein: the step (5) of establishing the database is that the ratio of alpha brain waves in one frame of the data of open eyes, obvious body movement and brain waves is more than or equal to 50%, and the clear-wake state is determined when any standard is met.
8. The method for establishing the database in the stable sleep state according to claim 1, wherein the step (3) of establishing the database includes the following specific steps: the experimental device is characterized in that the experimental device is worn with a brain wave monitoring device, a heart rate monitoring device, a respiration monitoring device and a myoelectricity monitoring device, and the brain wave data, the heart rate data, the respiration data and the myoelectricity data of a user in the whole experimental process are respectively monitored.
9. A method for using the database built by the method for building the database in the stable sleep state according to claim 1, wherein the specific method for using the database is as follows:
1) When the user uses the method, the homogeneity group matching characteristics are filled in the program, and the system automatically performs group matching, so that a group data packet is extracted;
2) Selecting a situation mode by a user, and automatically adjusting a program according to an initial mode angle in a group data packet;
3) The bed monitoring equipment is automatically started and comprises electroencephalogram monitoring equipment, heart rate monitoring equipment, respiration monitoring equipment and myoelectricity monitoring equipment; monitoring procedure with T bw Performing retrospective analysis for one frame, judging that the user is in the sleeping N2 stage when real-time monitoring data in two consecutive frames meet any one of the following standards in the past, and starting a leveling program: (1) the brain wave data has 1 or more K complex waves or 1 or more spindle waves; (2) when any two of the three physiological indexes of heart rate, respiration and electromyography are within the ranges of HR '+ -SD-HR', RESP + -SD-RESP 'and EMG + -SD-EMG';
4) The target stroke of the leveling is that the upper half body included angle theta 1 and the lower half body included angle theta 2 are adjusted to 0 degree, the corresponding bed plates of the cervical vertebra and the lumbar vertebra are adjusted to 0cm, the leveling time is T', all the bed plates are adjusted simultaneously during leveling, and the corresponding adjusting speeds S of the corresponding bed plates of the upper half body, the lower half body, the cervical vertebra and the lumbar vertebra are respectively adjusted according to the formula 2 θ1 、S θ2 、S H1 、S H2 Flatly placing the bed frame according to the corresponding speed;
5) And analyzing the brain wave data and the change trend of the physiological indexes of the user in real time in the leveling process, if the change trend meets the wakefulness change trend, predicting that the user is about to wake up, stopping the leveling program, and starting the leveling program again until the physiological data of the user is restored to the range of the N2 period until the bed frame is completely leveled. And meeting any one of the following criteria, namely predicting that the user is to wake up: (1) according to the duration T of each frame bw Analyzing the brain wave state retrospectively at regular intervals, if the alpha brain wave ratio is more than or equal to 50 percent; (2) when any two of the three physiological indexes of heart rate, respiration and electromyography are outside the range of HR '+/-SD-HR', RESP + -SD-RESP 'and EMG + -SD-EMG'.
CN202110740801.1A 2021-06-30 2021-06-30 Method for establishing database in stable sleep state and using method thereof Withdrawn CN115530753A (en)

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