CN111462905A - Sleep quality report calculation method and intelligent mattress - Google Patents
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Abstract
The application provides a sleep quality report calculation method and an intelligent mattress, wherein the sleep quality report calculation method is applied to the intelligent mattress and comprises the following steps: acquiring air pressure information of a mattress, and recording the time point of getting on the bed and the time point of getting off the bed of a user according to the air pressure information; obtaining sleep duration and sleep time according to the time point of getting on the bed and the time point of getting off the bed; acquiring pulse information of the mattress in the sleep time, and acquiring deep sleep duration according to the air pressure information and the pulse information; obtaining a light sleep duration according to the sleep time and the deep sleep time; obtaining deep sleep quality and light sleep quality according to the deep sleep duration and the light sleep duration; and acquiring a sleep score according to the sleep algorithm formula, the deep sleep quality and the light sleep quality. By the method, the user can obtain the sleep report from the mattress.
Description
Technical Field
The application relates to the technical field of intelligent mattresses, in particular to a sleep quality report calculation method and an intelligent mattress.
Background
With the continuous improvement of living standard, more and more people pay attention to the quality of life of the people, and sleep is an important factor influencing health. In order to improve the sleep quality, people pay more and more attention to the material, environment protection, beauty, comfort, quality and other aspects of the mattress.
The inventor of the application finds that the requirement provided by the mattress in the prior art is only external, and the comfort level of the user is improved by changing the material, the shape and the like of the mattress, so that the sleep quality is improved, but the real sleep condition of the user cannot be evaluated, and the sleep report of the user cannot be obtained.
Disclosure of Invention
The application provides a sleep quality report calculation method and an intelligent mattress, and aims to solve the problem that a mattress in the prior art cannot acquire a sleep report of a user.
In order to solve the technical problem, the application adopts a technical scheme that: the method for calculating the sleep quality report is applied to an intelligent mattress, and comprises the following steps:
acquiring air pressure information of the mattress, and recording the time point of getting on the bed and the time point of getting off the bed of a user according to the air pressure information;
obtaining sleep duration and sleep time according to the getting-on time point and the getting-off time point;
acquiring pulse information of the mattress within the sleep time, and acquiring deep sleep duration according to the air pressure information and the pulse information;
obtaining a light sleep duration according to the sleep time and the deep sleep time;
obtaining deep sleep quality and light sleep quality according to the deep sleep duration and the light sleep duration;
and acquiring a sleep score according to a sleep algorithm formula, the deep sleep quality and the shallow sleep quality.
In order to solve the above technical problem, another technical solution adopted by the present application is: a smart mattress is provided, wherein the smart mattress comprises a mattress body, a processor and a memory coupled to each other, the mattress body is connected to the processor, the memory is used for storing a computer program, and the processor is used for loading and executing the computer program.
The beneficial effect of this application is: different from the prior art, the application provides a calculation method of a sleep quality report and an intelligent mattress, wherein the calculation method of the sleep quality report is applied to the intelligent mattress, and the method comprises the following steps: acquiring air pressure information of a mattress, and recording the time point of getting on the bed and the time point of getting off the bed of a user according to the air pressure information; obtaining sleep duration and sleep time according to the time point of getting on the bed and the time point of getting off the bed; acquiring pulse information of the mattress in the sleep time, and acquiring deep sleep duration according to the air pressure information and the pulse information; obtaining a light sleep duration according to the sleep time and the deep sleep time; obtaining deep sleep quality and light sleep quality according to the deep sleep duration and the light sleep duration; and acquiring a sleep score according to the sleep algorithm formula, the deep sleep quality and the light sleep quality. The method comprises the steps of acquiring a bed getting time point, sleep time and sleep time of a user through air pressure information of a mattress, acquiring deep sleep time and light sleep time of the user by combining pulse information of the mattress, then acquiring deep sleep quality and light sleep quality, and finally calculating sleep scores of the user according to a formula, so that the user can obtain a sleep report from the mattress, and the problem that the mattress cannot acquire the sleep report of the user in the prior art is solved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the application, the drawings that are needed to be used in the description of the embodiments are briefly introduced below, it is obvious that the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without inventive efforts, wherein:
FIG. 1 is a flow chart illustrating an embodiment of a method for calculating a sleep quality report according to the present application;
FIG. 2 is a flowchart illustrating an embodiment of a method for calculating a sleep quality report according to the present application;
FIG. 3 is a first waveform diagram of the ADC as it collects the user getting into bed;
FIG. 4 is a second waveform diagram of the ADC collecting a turn-over action of the user;
FIG. 5 is a third waveform of the ADC collected while in the lower bed;
fig. 6 is a schematic structural diagram of an embodiment of the intelligent mattress.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any inventive step based on the embodiments in the present application, are within the scope of protection of the present application.
It should be noted that if directional indications (such as up, down, left, right, front, and back … …) are referred to in the embodiments of the present application, the directional indications are only used to explain the relative positional relationship between the components, the movement situation, and the like in a specific posture (as shown in the drawings), and if the specific posture is changed, the directional indications are changed accordingly.
In addition, if there is a description of "first", "second", etc. in the embodiments of the present application, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for calculating a sleep quality report according to an embodiment of the present application. The method disclosed by the embodiment comprises the following steps:
s11: and acquiring the air pressure information of the mattress, and recording the time point of getting on the bed and the time point of getting off the bed of the user according to the air pressure information.
The method disclosed by the embodiment is applied to the intelligent mattress, the intelligent mattress is provided with a gas and gas pressure detection mechanism, and when a user sits on the mattress, lies on the mattress and acts on the mattress, the gas pressure in the mattress can be changed, for example, when the user sleeps on the bed, the user is in a relatively static state for a long time, correspondingly, the gas pressure of the mattress can be kept in a relatively stable state, so that the time point of getting on the bed and the time point of getting off the bed of the user can be recorded according to the gas pressure information of the mattress.
S12: and obtaining the sleeping time length and the sleeping time according to the time point of getting on the bed and the time point of getting off the bed.
The user can enter the sleep state after lying on the bed for a period of time, and can get out of the bed after waking up for a period of time, so that the sleep time of the user can be obtained according to the time point of getting into the bed and the time point of getting out of the bed. The user may have a waking condition in the middle of sleeping, so the sleeping time may have a plurality of sleeping time periods, each sleeping time period corresponds to different sleep starting time and sleep ending time, and the sum of the time lengths of all sleeping time periods in the time point of getting on bed and the time point of getting off bed is taken as the sleeping time length of the user in this sleeping.
S13: and acquiring pulse information of the mattress in the sleep time, and acquiring the deep sleep time according to the air pressure information and the pulse information.
The intelligent mattress can also generate pulse signals, and after pulse information of the mattress is obtained, the air pressure information and the pulse information can be combined to obtain the deep sleep duration of a user.
S14: and obtaining the light sleep time length according to the sleep time and the deep sleep time.
The sleep of the human body comprises deep sleep and light sleep, so that after the sleep time and the deep sleep time are obtained, the light sleep time can be obtained, and then the light sleep time corresponding to the light sleep time is obtained.
S15: and obtaining the deep sleep quality and the light sleep quality according to the deep sleep time length and the light sleep time length.
After the deep sleep duration is obtained, the corresponding deep sleep quality can be obtained according to the corresponding calculation method. Similarly, after the light sleep duration is obtained, the corresponding light sleep quality can be obtained according to the corresponding calculation method.
S16: and acquiring a sleep score according to the sleep algorithm formula, the deep sleep quality and the light sleep quality.
And performing corresponding algorithm processing on the deep sleep quality and the light sleep quality according to a preset sleep algorithm formula to obtain the sleep score of the user sleeping on the mattress.
The application provides a calculation method of a sleep quality report, which is particularly applied to an intelligent mattress and comprises the steps of obtaining air pressure information of the mattress, and recording the time point of getting on the bed and the time point of getting off the bed of a user according to the air pressure information; obtaining sleep duration and sleep time according to the time point of getting on the bed and the time point of getting off the bed; acquiring pulse information of the mattress in the sleep time, and acquiring deep sleep duration according to the air pressure information and the pulse information; obtaining a light sleep duration according to the sleep time and the deep sleep time; obtaining deep sleep quality and light sleep quality according to the deep sleep duration and the light sleep duration; and acquiring a sleep score according to the sleep algorithm formula, the deep sleep quality and the light sleep quality. The method comprises the steps of acquiring a bed getting time point, sleep time and sleep time of a user through air pressure information of a mattress, acquiring deep sleep time and light sleep time of the user by combining pulse information of the mattress, then acquiring deep sleep quality and light sleep quality, and finally calculating sleep scores of the user according to a formula to enable the user to obtain a sleep report from the mattress.
Referring to fig. 2, fig. 2 is a flowchart illustrating a method for calculating a sleep quality report according to an embodiment of the present application. The method disclosed by the embodiment comprises the following steps:
s21: and acquiring the air pressure information of the mattress, and recording the time point of getting on the bed and the time point of getting off the bed of the user according to the air pressure information.
In one embodiment, step S21 includes steps S211-S214:
s211: and acquiring the air pressure difference of the air pressure values of two adjacent periods separated by the preset air pressure period.
The mattress-based air pressure sensor collects the current air pressure value every 10s, so that the current air pressure value at the moment is compared with the air pressure value of the previous 10s to obtain an air pressure difference, and then the obtained air pressure difference every 10s is used for judging information such as subsequent time points, time periods and the like.
S212: and setting the time point when the rising highest air pressure difference is larger than the first air pressure value as the time point when the user gets into the bed.
S213: and obtaining voltage information according to the air pressure information, and obtaining pulse information of the mattress according to the voltage information.
S214: and taking the time point when the up-down floating value of the pulse signal is larger than the preset floating value as the time point when the user gets into bed.
In this embodiment, the time point when the user gets to bed can be obtained by the air pressure information, the pulse information, or the combination of the two, and steps S212 to S214 are also described as follows:
when the time point of getting to bed is obtained according to the air pressure information of the mattress, the air pressure sensor in the mattress detects the air pressure change of the mattress, the voltage signal is collected by an ADC (analog-to-digital converter) and converted into a pure digital change, for example, the ADC chip converts the voltage signal into a pure digital, such as 1000. The starting point in time when the rising peak air pressure difference is greater than 2000 is taken as the point in time when the user gets into bed in this embodiment.
And when the time point of getting to the bed is obtained according to the pulse information of the mattress, obtaining the voltage information according to the air pressure information, and obtaining the pulse information of the mattress according to the voltage information. If the voltage changes to rise, it is referred to as a rise pulse, and if the voltage changes to fall, it is referred to as a fall pulse. The air pressure sensor reports the statistical values of the server once every 10 seconds, and the statistical values can comprise the number of rising pulses, the number of falling pulses and real-time air pressure values.
If the ACD detects that the sum of the rising pulse value and the falling pulse value is larger than 10, the air pressure change of the bed is indicated, after the air pressure is balanced, if the latter one of the two air pressure values at the interval of 10s is larger than the former one, the action of getting on the bed is indicated, and the starting time point when the rising highest air pressure difference in the ADC is larger than 2000 is taken as the time point when the user gets on the bed.
S215: and acquiring the maximum air pressure value of the mattress, and recording the first time period when the maximum air pressure value is smaller than the second air pressure value.
S216: it is determined whether the first time period is less than 60 minutes.
S217: the start time of the first time period is taken as the point in time to get off the bed.
The following description will be made together with steps S215 to S217:
when the time point of getting out of bed of user is obtained, the air pressure information of mattress can be obtained. When the ACD detects that the sum of the rising pulse value and the falling pulse value is larger than 10 during ADC detection, the fact that the air pressure of the bed changes is indicated, and after the air pressure is balanced, if the latter one of the two air pressure values at the interval of 10s is smaller than the former one, the fact that the action of getting off the bed occurs is indicated. And recording a time period from the maximum air pressure value being less than 20 as a first time period, and if the first time period is less than 60 minutes, determining the starting time of the first time period as the time point of getting out of bed.
In one embodiment, after the time point of getting on the bed is extended by the fourth time period, the obtaining of the air pressure difference between the air pressure values of two adjacent periods separated by the preset air pressure period is started. And when the time point of getting off the bed is advanced by a fourth time period, stopping obtaining the air pressure difference of the air pressure values of two adjacent periods separated by the preset air pressure period. For example, in this embodiment, the fourth time period is 10 minutes, i.e. no air pressure values are recorded within 10 minutes after the user gets on the bed and 10 minutes before getting off the bed.
S22: and obtaining the sleeping time length and the sleeping time according to the time point of getting on the bed and the time point of getting off the bed.
In one embodiment, step S22 includes steps S221-S225:
s221: and when the current air pressure value of the mattress is smaller than the third air pressure value and the upper and lower floating values of the pulse signal are both smaller than or equal to 1, recording a second time period.
S222: it is determined whether the second time period is less than 60 minutes.
S223: and taking the starting time of the second time period as the sleep starting time point.
S224: the time point of getting out of bed is taken as the time point of finishing sleep.
S225: and obtaining the sleep duration and the sleep time according to the sleep starting time point and the sleep ending time point.
The following will also describe steps S221 to S225:
and taking a time period recorded when the current air pressure value of the mattress is less than 400 and the rising pulse and the falling pulse are less than or equal to 1 as a second time period, and if the time period is less than 60 minutes, determining the starting time of the time period as the sleep starting time. The time point of getting out of bed is taken as the time point of finishing sleep.
And taking the time point of getting on the bed and the time point of getting off the bed as the sleeping time of the whole sleep, and corresponding to the sleeping time of the whole sleep. And if the user wakes up for multiple times in the whole sleep, taking the sum of the sleep time of the whole sleep as the final sleep time and the sum of the sleep time of the whole sleep as the final sleep time.
In a specific embodiment, step S22 may further include steps S226 to S227:
s226: and judging whether the maximum air pressure difference is larger than a fourth air pressure value or not.
S227: judging that the current turning motion is the turning motion, abandoning the maximum air pressure value and recording again.
Steps S226 to S227 will be explained together as follows:
when the user sleeps, the user can turn over, when the ACD detects that the sum of the rising pulse value and the falling pulse value is more than 10, the fact that the air pressure of the bed changes is indicated, and after the air pressure is balanced, if the two air pressure values at the interval of 10s are almost equal, the fact that the user turns over is indicated. So someone is in bed and when the maximum air pressure difference is recorded to be greater than 550, the air pressure value is deducted and the calculation is restarted.
S23: and acquiring pulse information of the mattress in the sleep time, and acquiring the deep sleep time according to the air pressure information and the pulse information.
In an embodiment, step S23 may further include steps S231 to S235:
s231: acquiring the air pressure difference in the sleeping time.
S232: and recording a third time period when the air pressure difference is smaller than a third air pressure value and the upper and lower floating values of the pulse signal are smaller than or equal to 1.
S233: it is determined whether the third time period is less than 60 minutes.
S234: the third time period is taken as a deep sleep time period.
S235: and acquiring the deep sleep time length according to the deep sleep time period.
The following description will be made together with steps S231 to S235:
and acquiring the air pressure difference in the sleep time, and if the acquired air pressure difference is less than 250, and the pulse is raised, and the falling pulse is less than or equal to 1, starting to record a time period which is a third time period, and if the time period is less than 60 minutes, determining the time period as a deep sleep time period, and correspondingly acquiring the deep sleep duration of the deep sleep time period.
S24: and obtaining the light sleep time length according to the sleep time and the deep sleep time.
S25: and obtaining the deep sleep quality and the light sleep quality according to the deep sleep time length and the light sleep time length.
Obtaining the deep sleep quality according to equation (1):
deep sleep quality (deep sleep duration/(sleep duration)' deep sleep standard ratio) (1)
Obtaining the light sleep quality according to the formula (2):
light sleep quality (light sleep time length/(sleep time length standard ratio of light sleep) (2)
S26: and acquiring a sleep score according to the sleep algorithm formula, the deep sleep quality and the light sleep quality.
Obtaining a sleep score according to equation (3):
adjusting coefficient (3) for sleep score (basic score + deep sleep quality first weight + light sleep quality second weight)
Steps S25 to S26 are also explained below:
the whole sleep quality is divided into 3 types according to weight, wherein the sleep time is 0.35, the deep sleep is 0.4, and the light sleep is 0.25.
The whole process of calculating the sleep score is as follows: firstly, setting a basic score of 0.35, then obtaining the sleep quality of deep sleep and the sleep quality of light sleep, respectively multiplying the sleep quality of deep sleep and the sleep quality of light sleep by corresponding weights, and then adding the weights to obtain a final score.
For example, assume that the sleep duration is tt (obtained from the start sleep time and the end sleep time), the deep sleep duration is dt, and the light sleep duration is lt, so tt ═ dt + lt.
According to the length of normal standard sleep of a human body, the time is 8h, the deep sleep is 2h, therefore, according to the ratio of the deep sleep to the light sleep in the standard sleep, the second weight of the light sleep is 0.75, the first weight of the deep sleep is 0.25, and since the final integral Score is higher, the adjustment coefficient is finally added to be 0.9, the formula (3) is specifically expressed as a formula (4), wherein Score is the sleep Score.
Score＝(0.35+dt*0.4/(tt*0.25)+lt*0.25/(tt*0.75))*0.9 (4)
In an embodiment, the waveforms shown in fig. 3-5 can be obtained by the ADC, fig. 3 is a first waveform when the ADC acquires the user getting on the bed, fig. 4 is a second waveform when the ADC acquires the user turning action, and fig. 5 is a third waveform when the ADC acquires the user getting off the bed.
As shown in fig. 3, the air pressure change is converted into a voltage change by the air pressure sensor, and the voltage change value is collected by the ADC, and the voltage value is collected every 10 msec. If the voltage changes to rise, recording as a rising pulse C; if the voltage change is a fall, it is referred to as a fall pulse D.
Reporting the statistics value of the server every 10 seconds, wherein the statistics value comprises the number of rising pulses, the number of falling pulses and a real-time air pressure value. If the sum of the detected values of C and D is more than 10, the air pressure change of the bed is indicated, after the air pressure is balanced, the value B is compared with the value A in the front 10 seconds, and if the value B is more than A, the action of getting on the bed is indicated.
As shown in figure 4, if the sum of the detected values of C and D is greater than 10, the air pressure change of the bed is indicated, after the air pressure is balanced, the value B is compared with the value A in the previous 10 seconds, and if the value B is approximately equal to the value A, the turning action is indicated.
As shown in FIG. 5, if the sum of the values of C and D is detected to be greater than 10, the air pressure change of the bed is indicated, after the air pressure is balanced, the value B is compared with the value A in the previous 10 seconds, and if B is less than A, the action of getting off the bed is indicated.
The application provides a calculation method of a sleep quality report, which is particularly applied to an intelligent mattress and comprises the steps of obtaining air pressure information of the mattress, and recording the time point of getting on the bed and the time point of getting off the bed of a user according to the air pressure information; according to the time point of getting on the bed and the time point of getting off the bed, the sleep duration and the sleep time are obtained after the turning-over action is removed; acquiring pulse information of the mattress in the sleep time, and acquiring deep sleep duration according to the air pressure information and the pulse information; obtaining a light sleep duration according to the sleep time and the deep sleep time; obtaining deep sleep quality and light sleep quality according to the deep sleep duration and the light sleep duration; and acquiring a sleep score according to the sleep algorithm formula, the deep sleep quality and the light sleep quality. The method comprises the steps of acquiring a bed getting time point, sleep time and sleep time of a user through air pressure information of a mattress, acquiring deep sleep time and light sleep time of the user by combining pulse information of the mattress, then acquiring deep sleep quality and light sleep quality, and finally calculating sleep scores of the user according to a formula to enable the user to obtain a sleep report from the mattress.
Corresponding to the above method, the present application provides an intelligent mattress, please refer to fig. 6, and fig. 6 is a schematic structural diagram of an embodiment of the intelligent mattress of the present application. The intelligent mattress 100 disclosed by the present application comprises a mattress body 11, a memory 12 and a processor 14 which are coupled to each other, wherein the mattress body 11 is connected to the processor 14, for example, by coupling or wireless connection, in this embodiment, the memory 12 and the processor 14 are built in the mattress body 11, and the mattress body 11 is coupled to the processor 14. The memory 12 is used for storing a computer program, and the processor 14 is used for executing the computer program to realize the steps of the method of any one of the above embodiments.
Specifically, processor 14 is configured to:
and acquiring the air pressure information of the mattress, and recording the time point of getting on the bed and the time point of getting off the bed of the user according to the air pressure information.
And obtaining the sleeping time length and the sleeping time according to the time point of getting on the bed and the time point of getting off the bed.
And acquiring pulse information of the mattress in the sleep time, and acquiring the deep sleep time according to the air pressure information and the pulse information.
And obtaining the light sleep time length according to the sleep time and the deep sleep time.
And obtaining the deep sleep quality and the light sleep quality according to the deep sleep time length and the light sleep time length.
And acquiring a sleep score according to the sleep algorithm formula, the deep sleep quality and the light sleep quality.
The present application provides a smart mattress 100 that enables a user to obtain sleep reports from the mattress.
The above embodiments are merely examples and are not intended to limit the scope of the present disclosure, and all modifications, equivalents, and flow charts using the contents of the specification and drawings of the present disclosure or those directly or indirectly applied to other related technical fields are intended to be included in the scope of the present disclosure.
Claims (10)
1. A method for calculating a sleep quality report, which is applied to an intelligent mattress, is characterized by comprising the following steps:
acquiring air pressure information of the mattress, and recording the time point of getting on the bed and the time point of getting off the bed of a user according to the air pressure information;
obtaining sleep duration and sleep time according to the getting-on time point and the getting-off time point;
acquiring pulse information of the mattress within the sleep time, and acquiring deep sleep duration according to the air pressure information and the pulse information;
obtaining a light sleep duration according to the sleep time and the deep sleep time;
obtaining deep sleep quality and light sleep quality according to the deep sleep duration and the light sleep duration;
and acquiring a sleep score according to a sleep algorithm formula, the deep sleep quality and the shallow sleep quality.
2. The method of claim 1, wherein the step of obtaining air pressure information of the mattress, and recording the point in time of getting on the bed and the point in time of getting off the bed of the user based on the air pressure information comprises:
acquiring the air pressure difference of the air pressure values of two adjacent periods separated by a preset air pressure period;
setting the time point when the highest rising air pressure difference is larger than the first air pressure value as the time point when the user gets into the bed;
acquiring the maximum air pressure value of the mattress, and recording a first time period when the maximum air pressure value is smaller than a second air pressure value;
judging whether the first time period is less than 60 minutes;
and if so, taking the starting time of the first time period as the time point of getting off the bed.
3. The method of claim 2, wherein the step of obtaining air pressure information for the mattress, and recording the point in time the user gets on and off the bed based on the air pressure information further comprises:
obtaining voltage information according to the air pressure information, and obtaining the pulse information of the mattress according to the voltage information;
and taking the time point when the up-down floating value of the pulse signal is larger than the preset floating value as the time point when the user gets into bed.
4. The method of claim 3, wherein the step of deriving the sleep duration and the sleep time from the point in time in bed and the point in time in bed comprises:
when the current air pressure value of the mattress is smaller than the third air pressure value and the upper and lower floating values of the pulse signal are both smaller than or equal to 1, recording a second time period;
judging whether the second time period is less than 60 minutes;
if so, taking the starting time of the second time period as a sleep starting time point;
taking the time point of getting out of bed as a time point of finishing sleeping;
and obtaining the sleep duration and the sleep time according to the sleep starting time point and the sleep ending time point.
5. The method of claim 2, wherein obtaining pulse information of the mattress during the sleep time, and obtaining a deep sleep session based on the air pressure information and the pulse information comprises:
acquiring the air pressure difference in the sleep time;
when the air pressure difference is smaller than a third air pressure value and the upper and lower floating values of the pulse signal are smaller than or equal to 1, recording a third time period;
judging whether the third time period is less than 60 minutes;
if so, taking the third time period as a deep sleep time period;
and acquiring the deep sleep time length according to the deep sleep time period.
6. The method of claim 5, wherein the step of deriving a deep sleep quality and a light sleep quality from the deep sleep duration and the light sleep duration comprises:
obtaining the deep sleep quality according to formula (1):
deep sleep quality (deep sleep duration/(sleep duration) deep sleep standard ratio) (1);
obtaining the light sleep quality according to formula (2):
light sleep quality-light sleep duration/(sleep duration-light sleep standard ratio) (2).
7. The method of claim 6, wherein the step of obtaining a sleep score based on a sleep algorithm formula, the deep sleep quality, and the shallow sleep quality comprises:
obtaining the sleep score according to equation (3):
sleep score (base score + deep sleep quality first weight + light sleep quality second weight) adjustment factor (3).
8. The method of claim 2, wherein the step of obtaining air pressure information of the mattress, and recording the point in time of getting on the bed and the point in time of getting off the bed of the user based on the air pressure information comprises:
after the time point of getting on the bed is prolonged by a fourth time period, starting to acquire the air pressure difference of the air pressure values of two adjacent periods separated by the preset air pressure period;
and when the time point of getting off the bed is advanced by the fourth time period, stopping obtaining the air pressure difference of the air pressure values of two adjacent periods separated by a preset air pressure period.
9. The method of claim 2, wherein the step of deriving the sleep duration and the sleep time from the point in time in bed and the point in time in bed further comprises:
judging whether the maximum air pressure difference is greater than a fourth air pressure value or not;
if yes, judging that the current state is a turning-over action, abandoning the maximum air pressure value and recording again.
10. An intelligent mattress, characterized in that the intelligent mattress comprises a mattress body, a processor and a memory which are coupled with each other, the mattress body is connected with the processor, the memory is used for storing a computer program, and the processor is used for loading and executing the computer program.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113854777A (en) * | 2021-09-15 | 2021-12-31 | 广州番达通科技有限公司 | Cloud-based multifunctional inflatable mattress and interaction method thereof |
| CN113974567A (en) * | 2021-11-09 | 2022-01-28 | 重庆火后草科技有限公司 | Method for calculating metabolic rate of sleep process |
| CN115295123A (en) * | 2022-08-17 | 2022-11-04 | 慕思健康睡眠股份有限公司 | Diet recommendation method, device, equipment and medium based on sleep big data |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103622700A (en) * | 2013-12-18 | 2014-03-12 | 浙江天地人科技有限公司 | Sleep monitoring system and method |
| CN105592777A (en) * | 2013-07-08 | 2016-05-18 | 瑞思迈传感器技术有限公司 | Method and system for sleep management |
| CN105962896A (en) * | 2016-04-25 | 2016-09-28 | 广东乐源数字技术有限公司 | heart rate and sleep monitoring system and monitoring method |
| CN107981610A (en) * | 2017-12-26 | 2018-05-04 | 邓树旭 | Intelligent mattress |
| CN109259729A (en) * | 2018-09-21 | 2019-01-25 | 珠海市万瑙特健康科技有限公司 | Sleep monitor system, method, apparatus, equipment and storage medium |
| CN109276232A (en) * | 2018-11-15 | 2019-01-29 | 山东华汇家居科技有限公司 | Sleep monitoring system |
| JP2019204444A (en) * | 2018-05-25 | 2019-11-28 | 凸版印刷株式会社 | Sleep evaluation report generator and method for generating sleep evaluation report |
-
2020
- 2020-04-20 CN CN202010313291.5A patent/CN111462905A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105592777A (en) * | 2013-07-08 | 2016-05-18 | 瑞思迈传感器技术有限公司 | Method and system for sleep management |
| CN103622700A (en) * | 2013-12-18 | 2014-03-12 | 浙江天地人科技有限公司 | Sleep monitoring system and method |
| CN105962896A (en) * | 2016-04-25 | 2016-09-28 | 广东乐源数字技术有限公司 | heart rate and sleep monitoring system and monitoring method |
| CN107981610A (en) * | 2017-12-26 | 2018-05-04 | 邓树旭 | Intelligent mattress |
| JP2019204444A (en) * | 2018-05-25 | 2019-11-28 | 凸版印刷株式会社 | Sleep evaluation report generator and method for generating sleep evaluation report |
| CN109259729A (en) * | 2018-09-21 | 2019-01-25 | 珠海市万瑙特健康科技有限公司 | Sleep monitor system, method, apparatus, equipment and storage medium |
| CN109276232A (en) * | 2018-11-15 | 2019-01-29 | 山东华汇家居科技有限公司 | Sleep monitoring system |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113854777A (en) * | 2021-09-15 | 2021-12-31 | 广州番达通科技有限公司 | Cloud-based multifunctional inflatable mattress and interaction method thereof |
| CN113974567A (en) * | 2021-11-09 | 2022-01-28 | 重庆火后草科技有限公司 | Method for calculating metabolic rate of sleep process |
| CN113974567B (en) * | 2021-11-09 | 2024-03-26 | 重庆火后草科技有限公司 | Method for calculating metabolic rate in sleeping process |
| CN115295123A (en) * | 2022-08-17 | 2022-11-04 | 慕思健康睡眠股份有限公司 | Diet recommendation method, device, equipment and medium based on sleep big data |
| CN115295123B (en) * | 2022-08-17 | 2023-12-01 | 慕思健康睡眠股份有限公司 | Diet recommendation method, device, equipment and medium based on sleep big data |
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