Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
The following is a description of specific embodiments.
Referring to fig. 1, fig. 1 illustrates a sleep quality monitoring method according to an embodiment of the present application, which is applied to a sleep quality monitoring device, where the sleep quality monitoring device may monitor a sleep condition of a user, and the sleep quality monitoring device may be, for example, a sleep monitor, a sleep assisting device, or the like. Furthermore, the sleep quality monitoring device may be a non-wearable device or a wearable device, which is not limited in the present application. The sleep quality monitoring method may include steps S110 to S150, specifically:
Step S110, physical sign information, behavior information and environment information of the user are obtained.
In the embodiment of the application, the sign information is information related to physiological signs during the sleeping period of the user, and the sign information at least comprises respiratory rate, heart rate and blood oxygen concentration. In some embodiments, the sign information may also include the body temperature, pulse rate, etc. of the user.
In the embodiment of the application, the behavior information is activity of the user during the sleeping period, and the behavior information at least comprises turning-over times and getting-up times. In some embodiments, the behavioral information may also include the number of sleep posture changes of the user during sleep, the time of each occurrence of a bed, the time between two adjacent occurrence of a bed, and so forth.
In the embodiment of the application, the sleep quality monitoring equipment comprises a radar module, and the radar module can emit millimeter wave radar outwards and is used for detecting the sign information and the behavior information of the user during the sleeping.
The millimeter wave radar may have a wavelength of 1mm (millimeter) to 10mm, and the corresponding frequency may be 30GHz (gigahertz) to 300GHz. It will be appreciated that the wavelength and frequency of the millimeter wave radar may be specifically selected according to actual needs, and the present application is not limited thereto.
In the embodiment of the application, the environmental information is information related to the surrounding environment during the sleeping period of the user, and the environmental information at least comprises environmental sound decibels, environmental light intensity, environmental humidity and environmental temperature. In some implementations, the environmental information may also include an ambient oxygen concentration, an ambient air quality, and the like.
In the embodiment of the application, the sleep quality monitoring equipment can also comprise a sensor module for detecting the environmental information. Further, the sensor module includes at least sensors operable to obtain ambient sound decibels, ambient light intensity, ambient humidity, and ambient temperature. Wherein the sensor for acquiring the ambient sound decibels may be, for example, a sound sensor; the sensor for acquiring the intensity of the ambient light may for example be an illumination sensor; the sensor for acquiring the ambient humidity may be, for example, a humidity sensor; the sensor for acquiring the ambient temperature may be, for example, a temperature sensor.
Still further, the sensor module may also include a sensor for acquiring ambient oxygen concentration, ambient air quality. Wherein the sensor for obtaining the ambient oxygen concentration may be, for example, an oxygen sensor; the sensor for acquiring the ambient air quality may be, for example, a PM2.5 sensor.
Step S120, determining sleep time information according to the sign information.
In the embodiment of the application, the sleep time information at least comprises the total sleep time and the deep sleep time of the user. Specifically, since the sign information of the user entering the sleep state accords with certain characteristics, the total sleep duration and the deep sleep duration of the user can be determined according to the respiratory frequency, the heart rate and the blood oxygen concentration acquired by the millimeter wave radar.
In some implementations, the sleep time information may also include a time to fall asleep, a length of time to enter deep sleep, etc. Wherein the deep sleep time period is used to indicate the time it takes for the user to go from falling asleep to deep sleep.
Step S130, determining sleep evaluation information according to the sign information, the behavior information, the sleep time information and the standard body index.
In the embodiment of the application, the sleep evaluation information is used for indicating the evaluation information of the sleep quality monitoring equipment on the current sleep quality of the user; the standard physical index is used for indicating the physical index corresponding to the physical condition of the current user, namely standard physical sign information, standard behavior information and standard sleep time information corresponding to the physical condition of the current user.
Specifically, the sleep quality monitoring device acquires physical sign information and behavior information of the user, determines sleep time information according to the physical sign information, and then evaluates the sleep quality of the user according to the physical sign information, the behavior information, the sleep time information and a predetermined standard physical index to obtain sleep evaluation information. The sleep evaluation information may include a sleep quality score, among other things.
In some embodiments, referring to fig. 2, step S130 may include steps S131 to S136, specifically:
step S131, determining standard sign information, standard behavior information, standard total sleep duration and standard deep sleep duration according to standard body indexes.
In the embodiment of the application, the standard physical index comprises the standard physical sign information, the standard behavior information and the standard sleeping time information, and the standard sleeping time information comprises the standard sleeping total duration and the standard deep sleeping duration, so that the standard physical sign information, the standard behavior information, the standard sleeping total duration and the standard deep sleeping duration can be determined according to the standard physical index.
And S132, determining a scoring reference value according to the standard total sleep duration and the standard deep sleep duration.
In the embodiment of the application, the scoring reference value can be determined according to the ratio of the standard deep sleep duration to the standard total sleep duration. Specifically, the ratio of the standard deep sleep duration to the standard total sleep duration is determined, and then the ratio is enlarged by 100 times to be used as a scoring reference value. For example, the ratio of the standard deep sleep duration to the standard insomnia total duration is 70%, and the scoring reference value is 70 minutes.
Step S133, determining a first coefficient according to the sign information and the standard sign information.
In the embodiment of the application, a deep sleep sign curve corresponding to the sign information during deep sleep can be acquired first, a deep sleep standard sign curve corresponding to the standard sign information during deep sleep can be acquired, then the sign similarity of the sign curve and the standard sign curve is determined, and the sign similarity is used as a first coefficient. The sign similarity refers to that the depth sleep sign curve corresponding to each information in the sign information is compared with the corresponding depth sleep standard sign curve in similarity.
Furthermore, because the sign information and the standard sign information both comprise a plurality of pieces of information, the average value of the similarity obtained by comparing the similarity between all the deep sleep sign curves and the deep sleep standard sign curves can be used as the final sign similarity.
Step S134, determining a second coefficient according to the behavior information and the standard behavior information.
In the embodiment of the application, the behavior times can be determined according to the turning times and the getting-up times in the behavior information, and then the standard behavior times can be determined according to the turning times and the getting-up times in the standard behavior information. And finally, determining a second coefficient according to the frequency difference value and the frequency scoring corresponding relation. The frequency difference value and the second coefficient are in negative correlation, the frequency scoring corresponding relation is stored in the sleep quality monitoring equipment in advance, and the frequency scoring corresponding relation comprises a corresponding relation between the frequency difference value and the second coefficient.
And S135, determining a third coefficient according to the sleep time information and the standard total sleep duration.
In the embodiment of the application, after the sleep time information and the standard sleep total time length are determined, the sleep total time length in the sleep time information can be determined, then the time length difference between the sleep total time length and the standard sleep total time length is determined, and finally the third coefficient is determined according to the time length difference and the time length score corresponding relation. The time length difference value and the third coefficient are in negative correlation, the time length score corresponding relation is stored in the sleep quality monitoring equipment in advance, and the time length score corresponding relation comprises a corresponding relation between the time length difference value and the third coefficient.
Step S136, sleep evaluation information is determined according to the scoring reference value, the first coefficient, the second coefficient and the third coefficient.
In the embodiment of the application, the first score can be determined according to the product of the score reference value and the first coefficient, the second score can be determined according to the product of the score reference value and the second coefficient, the third score can be determined according to the score reference value and the third coefficient, and then the first score, the second score and the third score are added to determine the sleep quality score, namely the sleep evaluation information.
In some embodiments, a standard physical indicator corresponding to the current physical condition of the user may be determined according to personal information and health information of the user. Specifically, personal information and health information of the user can be acquired first, and then standard body indexes corresponding to the user are determined according to the personal information, the health information and the index generation model.
In the embodiment of the application, the personal information and the health information of the user can be that the sleep quality monitoring equipment is actively input by the user before the sleep quality monitoring equipment evaluates the current sleep quality of the user. The method for inputting personal information and health information is not limited, and may be, for example, keyboard input, voice input, picture recognition input, gesture recognition input, etc.
Further, the personal information of the user at least comprises the height, weight, age and sex of the user; the health information of the user is the current physical health condition of the user, including whether a related disease (such as heart disease, hypertension and the like) or discomfort symptoms (such as nasal obstruction, fever and the like) are diagnosed.
In the embodiment of the application, the index generation model is a model trained in advance. And inputting the personal information and the health information of the user into an index generation model, and determining the standard body index corresponding to the personal information and the health information. It will be appreciated that the personal information and the health information of the user are different, and the corresponding standard body indicators are different.
In an embodiment of the present application, the standard body indicators may include a first standard body indicator and a second standard body indicator, the first standard body indicator may be a standard body indicator of the user during deep sleep, and the second standard body indicator may be a standard body indicator of the user during non-deep sleep.
It should be noted that, the step S120 and the step S130 are executed without separate steps, that is, after the step S110 is executed, the step S120 may be executed first, the step S130 may be executed first, the step S120 may be executed second, and the step S120 and the step S130 may be executed simultaneously.
Step S140, determining sleep regulation information according to the environment information, the sign information, the sleep time information and the history information list.
In the embodiment of the application, the history information list contains the information obtained in the sleeping period before the current time, and specifically comprises the information which can be set according to actual needs; the sleep regulation information is regulation information which is provided by the sleep quality monitoring equipment after the user sleeps this time and is used for helping the user to improve the sleep quality.
Specifically, after determining the environmental information, the sign information and the sleep time information of the user during the current sleep, the sleep quality monitoring device can determine corresponding sleep adjustment information according to the information and a pre-stored history information list so as to help the user determine which measures can be taken to improve the subsequent sleep quality. How to determine the sleep adjustment information will be described in the following embodiments, and will not be described in detail here.
Step S150, generating a sleep report based on the sleep evaluation information and the sleep adjustment information.
In the embodiment of the application, the user can monitor the sleep quality of the user by checking the sleep report. Specifically, after the sleep evaluation information and the sleep adjustment information are obtained, the sleep quality monitoring device may generate a sleep report according to the sleep evaluation information and the sleep adjustment information, so that the user may monitor the sleep quality of the user according to the sleep report.
In some implementations, the sleep report generated by the sleep quality monitoring device may be shared into the bound electronic device (e.g., cell phone, computer, etc.), so that the user may view the sleep report on the bound electronic device.
The specific display mode and area of the sleep evaluation information and the sleep adjustment information in the sleep report can be set according to the needs, and can be the default setting of the sleep quality monitoring device or the personalized setting of the user.
The embodiment of the application provides a sleep quality monitoring method, which comprises the steps of obtaining physical sign information, behavior information and environment information of a user; determining sleep time information according to the sign information; determining sleep evaluation information according to the sign information, the behavior information, the sleep time information and the standard body index; determining sleep regulation information according to the environmental information, the sign information, the standard body index, the sleep time information and the history information list; a sleep report is generated based on the sleep evaluation information and the sleep adjustment information. Therefore, the sleep of the user is monitored and evaluated from multiple dimensions, and the corresponding sleep report is generated, so that the user can know the sleep condition of the user more accurately from the sleep report.
Referring to fig. 3, fig. 3 shows a sleep quality monitoring method according to another embodiment of the present application, which is applied to a sleep quality monitoring device. The sleep quality monitoring method may include steps S210 to S270, specifically:
Step S210, physical sign information, behavior information and environment information of the user are obtained.
Step S220, determining sleep time information according to the sign information.
Step S230, determining sleep evaluation information according to the sign information, the behavior information, the time information and the standard body indexes.
In an embodiment of the application, the sleep evaluation information comprises a sleep quality score.
It should be noted that, the detailed descriptions of the steps S210 to S230 refer to the steps S110 to S130, and the detailed descriptions are omitted herein.
Step S240, determining first adjustment information according to the environmental information, the sign information and the standard body index.
In the embodiment of the present application, the first adjustment information includes positive adjustment information and negative adjustment information during the sleep period, which are used to characterize whether the environmental information has a positive effect or a negative effect on the sign information of the user.
In some embodiments, after acquiring the environmental information and the physical sign information during sleeping of the user, the sleep quality monitoring device may determine the marking time according to the environmental information. The marking time is the time when any information in the environment information (namely, the environment sound decibel, the environment light intensity, the environment humidity and the environment temperature) is changed by more than a first amplitude before the marking time. It will be appreciated that since the respective information types in the environment information are different, the first amplitude corresponding to each information may be different.
Further, after determining the marking time, the target time may be determined according to the marking time. The target time is a mark time when any information (namely, respiratory rate, heart rate and blood oxygen concentration) in the sign information in a preset time period after the mark time changes beyond a second amplitude. For example, the marking time is T1, the preset duration is a, the change of the blood oxygen concentration in the sign information in the [ TI, t1+a ] time interval exceeds the second amplitude, and the T1 time is the target time.
Still further, after determining the target time, the sleep quality monitoring device needs to determine whether the sign information after the target time is closer to the standard sign information in the standard body index.
Specifically, when the target environmental information in the environmental information at the target moment is increased, if the sign information after the target moment is closer to the standard sign information, the target environmental information belongs to the front regulation information; if the sign information before the target time is closer to the standard sign information, the target environment information belongs to negative regulation information. When the target environmental information in the environmental information at the target moment is reduced, if the sign information after the target moment is closer to the standard sign information, the target environmental information belongs to negative regulation information; if the sign information before the target moment is closer to the standard sign information, the target environment information belongs to the positive regulation information.
The target environment information is environment information of which the target time changes by more than a first amplitude. For example: and when the change of the ambient temperature and the ambient light intensity at the target moment exceeds a first amplitude, the ambient temperature and the ambient light intensity are the target ambient information.
Step S250, determining second adjustment information according to the environment information, the sleep time information and the history information list.
In the embodiment of the application, after determining the environmental information and the sleep time information in the current sleep period, the sleep quality monitoring device acquires a pre-stored history information list, and finally determines the second regulation information according to the environmental information, the sleep time information and the history information list. It can be understood that after the user sleeps each time, the information determined by the sleep quality monitoring device in the sleeping period can be updated to the history information list.
In the embodiment of the application, the second adjustment information includes positive adjustment information and negative adjustment information during the sleep time, and is used for representing whether the environmental information has a positive effect or a negative effect on the sleep time information of the user.
In the embodiment of the application, the sleep evaluation information can comprise a sleep quality score used for representing the sleep quality of the user during the sleeping period; the historical information list can comprise historical environment information, historical sleep time information and historical sleep scores, and the historical environment information, the historical sleep time information and the historical sleep scores are in one-to-one correspondence.
Further, referring to fig. 4, in some embodiments, step S250 may include steps S251 to S254, specifically:
step S251, determining a target historical sleep score based on the historical information list.
In the embodiment of the application, the history information list comprises the target history sleep score, so that the sleep quality monitoring equipment can determine the target history sleep score according to the history information list.
As one implementation, the target historical sleep score may be a historical highest sleep score. Specifically, the historical highest sleep score with the highest score may be obtained from the historical information list, and then the obtained historical highest sleep score is used as the target historical sleep score.
As another implementation, the target historical sleep score may be a historical average sleep score. Specifically, the historical average sleep score is obtained from the historical information list as the previous preset number of historical sleep scores, the average value of the historical sleep scores is determined, and the obtained average value is used as the target historical sleep score. Wherein the historical information list is arranged in descending order of historical sleep scores.
Step S252, obtaining target historical sleep time information and target historical environment information corresponding to the target historical sleep scores.
As one embodiment, when the target historical sleep score is the highest historical sleep score, the historical sleep time information and the historical environment information corresponding to the highest historical sleep score in the historical information list are determined to be the target historical sleep time and the target historical environment information.
As another embodiment, when the target historical sleep score is the historical average sleep score, a preset number of historical sleep time information and historical environment information in the historical information list are acquired first, then the average value of the acquired historical sleep time information is determined to be the target historical sleep time information, and the average value of the acquired historical environment information is determined to be the target historical environment information.
Step S253, determining first comparison information and second comparison information based on the environment information, the sleep time information, the target history environment information, and the target history sleep time information.
In the embodiment of the application, the first comparison information comprises comparison information of the deep sleep duration in the sleep time information and the target historical sleep time information. Specifically, the first comparison information includes a size relationship between a depth sleep duration in the sleep time information and a target historical depth sleep duration in the target historical sleep time.
In the embodiment of the application, the second comparison information comprises comparison information of average values of the information of the environment information and the target historical environment information during deep sleep. Specifically, the second comparison information includes a magnitude relationship between an average value of the environmental information during deep sleep and an average value of the target historical environmental information during target historical deep sleep.
Step S254, determining second adjustment information according to the first comparison information and the second comparison information.
In the embodiment of the application, if the deep sleep time is longer than the target historical deep sleep time, the information that the average value of the environmental information in the deep sleep period is greater than the average value of the environmental information in the target historical deep sleep period is positive regulation information, and the other information is negative regulation information. If the deep sleep duration is smaller than the target historical deep sleep duration, the information that the average value of the environmental information in the deep sleep period is larger than or equal to the average value of the target historical environmental information in the target historical deep sleep period is negative regulation information, and the other information is positive regulation information. It should be noted that, if the deep sleep duration is smaller than the target historical deep sleep duration, the positive adjustment information and the negative adjustment information default to be absent, i.e. the second adjustment information default to be absent.
For example, if the deep sleep time period is longer than the target historical deep sleep time period, the environmental information includes an environmental sound decibel, an environmental light intensity, an environmental humidity, and an environmental temperature, and an average value of the environmental temperature and the environmental light intensity during the deep sleep is greater than the target historical environmental temperature and the target historical environmental light intensity during the target historical deep sleep, the environmental temperature and the environmental light intensity are positive adjustment information, and the environmental sound decibel and the environmental humidity are negative adjustment information.
Step S260, determining sleep regulation information according to the first regulation information and the second regulation information.
In the embodiment of the application, after the sleep quality monitoring device obtains the first adjustment information and the second adjustment information, adjustment contradiction information in the first adjustment information and the second adjustment information can be determined first, and then other information except the adjustment contradiction information is used as the sleep adjustment information.
The adjustment contradiction information refers to environment information which exists in the first adjustment information and the second adjustment information at the same time and belongs to opposite adjustment information in the first adjustment information and the second adjustment information. That is, the adjustment contradictory information means environmental information that is included in both the first adjustment information and the second adjustment information, and that belongs to positive adjustment information in the first adjustment information, but that belongs to negative adjustment information in the second adjustment information; or in the first regulation information, the negative regulation information, but in the second regulation information, the positive regulation information.
For example, the ambient temperature in the first regulation information belongs to positive regulation information, and the ambient light and the ambient humidity belong to negative regulation information; the environmental temperature and the environmental humidity in the second regulation information belong to positive regulation information, and the environmental sound decibel belongs to negative regulation information; the environmental information contained in the first and second adjustment information is the environmental temperature and the environmental humidity at the same time. The environmental humidity belongs to negative regulation information in the first regulation information, but belongs to positive regulation information in the second regulation information, so that the environmental humidity belongs to regulation contradiction information. Thus, the sleep regulation information is that the ambient temperature belongs to positive regulation information, and the ambient illumination and the ambient sound decibels belong to negative regulation information. That is, the user can improve sleep quality by raising the ambient temperature, reducing ambient light and ambient sound decibels.
Step S270, generating a sleep report based on the sleep evaluation information and the sleep adjustment information.
It should be noted that, the detailed description of step S270 is referred to the foregoing step S150, and will not be repeated here.
According to the sleep quality monitoring method provided by the embodiment of the application, the physical sign information, the behavior information and the environment information of the user are obtained; determining sleep time information according to the sign information; determining sleep evaluation information according to the sign information, the behavior information, the time information and the standard body index; determining first adjustment information according to the environmental information, the sign information and the standard body index; determining second adjustment information according to the environment information, the sleep time information and the history information list; determining sleep adjustment information according to the first adjustment information and the second adjustment information; a sleep report is generated based on the sleep evaluation information and the sleep adjustment information to monitor a sleep quality of the user according to the sleep report. Therefore, the sleep of the user is monitored and evaluated from multiple dimensions, and the corresponding sleep report is finally generated, so that the user can not only know the sleep condition of the user from the sleep report, but also determine how to improve the sleep quality according to the sleep report.
Referring to fig. 5, fig. 5 shows a sleep quality monitoring method according to another embodiment of the present application, which is applied to the aforementioned sleep quality monitoring apparatus. The sleep quality monitoring method may include steps S310 to S360, specifically:
Step S310, physical sign information, behavior information and environment information of the user are obtained.
Step S320, determining sleep time information according to the sign information.
Step S330, determining sleep evaluation information according to the sign information, the behavior information, the time information and the standard body index.
Step S340, determining sleep regulation information according to the environment information, the sign information, the sleep time information and the history information list.
In the embodiment of the present application, the detailed descriptions of the steps S310 to S340 can refer to the steps S110 to S140, and the detailed descriptions are omitted herein.
Step S350, determining potential disease information according to the personal information, the sign information, the behavior information and the disease diagnosis model.
In the embodiment of the application, the potential disease information is used for indicating possible diseases of the user besides the diseases filled in the health information.
Specifically, after personal information, sign information and behavior information of the user are acquired, the sleep quality monitoring device may input the personal information, sign information and behavior information into a disease diagnosis model, and finally determine whether the user has a disease which the user does not know. For example, the user is only aware of hypertension, but after the sleep quality monitoring model inputs personal information, physical sign information and behavior information into the disease diagnosis model, the user considers that heart disease may exist, i.e. the potential disease information of the user is determined to be heart disease.
Step S360, generating a sleep report based on the sleep evaluation information, the sleep adjustment information and the potential disease information.
In the embodiment of the application, after the sleep quality monitoring equipment determines the sleep evaluation information, the sleep regulation information and the potential disease information, the three information can be used for generating the sleep report according to the preset typesetting mode, so that a user can monitor the sleep condition of the user through the sleep report, know how to regulate the environment information to improve the sleep quality, and can also see the potential disease possibly existing in the body of the user, thereby facilitating the user to go to a hospital in time for corresponding examination.
It should be noted that, the display mode of various information in the sleep report can be set according to the actual requirement, and the application is not limited to this.
In some embodiments, sleep report may further include sleep abnormality information, where the sleep abnormality information is used to alert the user of an abnormality during the sleep. The sleep abnormality information may include abnormality information in the environment information and the sleep time information, among others. As one example, an abnormal situation may include a total length of sleep that is too low, an ambient sound decibel, ambient light, ambient temperature, ambient humidity that is too high or too low.
In some embodiments, historical sleep anomaly information may also be included in the historical information list. Specifically, after the sleep quality monitoring device acquires the sleep abnormality information in the sleep period, the sleep quality monitoring device can update the sleep abnormality information to the history information list to obtain the latest history information list. Further, the latest history information list may also be displayed in the sleep report, i.e. the sleep report is generated based on the sleep evaluation information, the sleep adjustment information, the potential illness information and the latest history information list.
According to the sleep quality monitoring method provided by the further embodiment of the application, physical sign information, behavior information and environment information of a user are obtained; determining sleep time information according to the sign information; determining sleep evaluation information according to the sign information, the behavior information, the sleep time information and the standard body index; determining sleep regulation information according to the environmental information, the sign information, the standard body index, the sleep time information and the history information list; determining potential disease information based on the personal information, the physical sign information, the behavioral information, and the disease diagnostic model; a sleep report is generated based on the sleep assessment information, the sleep adjustment information, and the underlying disease information. Therefore, the sleep of the user is monitored and evaluated from multiple dimensions, and the corresponding sleep report is generated, so that the user can more accurately know the sleep condition of the user from the sleep report, can determine how to improve the sleep quality, and can also help the user to find the potential diseases of the user.
Referring to fig. 6, fig. 6 shows a sleep quality monitoring apparatus 100 according to the present application, which is applied to a sleep quality monitoring device. The device comprises: an acquisition unit 110, a first determination unit 120, a second determination unit 130, a third determination unit 140, and a report generation unit 150. Specifically:
an acquiring unit 110, configured to acquire sign information, behavior information, and environmental information of a user;
a first determining unit 120 for determining sleep time information according to the sign information;
a second determining unit 130 for determining sleep evaluation information according to the sign information, the behavior information, the sleep time information, and the standard body index;
a third determining unit 140 for determining sleep adjustment information according to the environmental information, the sign information, the standard body index, the sleep time information, and the history information list;
The report generating unit 150 is configured to generate a sleep report based on the sleep evaluation information and the sleep adjustment information.
It should be noted that, in the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described as different from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other. For the apparatus class embodiments, the description is relatively simple as it is substantially similar to the method embodiments, and reference is made to the description of the method embodiments for relevant points. Any of the described processing manners in the method embodiment may be implemented by a corresponding processing module in the device embodiment, which is not described in detail in the device embodiment.
Referring to fig. 7, fig. 7 shows an electronic device 200 according to an embodiment of the application, where the electronic device 200 may be a sleep quality monitoring device. The electronic device 200 of the present application may include one or more of the following components: a processor 210, a memory 220, and one or more applications, wherein the one or more applications may be stored in the memory 220 and configured to be executed by the one or more processors 210, the one or more applications configured to perform the method as described in the foregoing method embodiments.
Processor 210 may include one or more processing cores. The processor 210 utilizes various interfaces and lines to connect various portions of the overall electronic device 200, perform various functions of the electronic device 200, and process data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 220, and invoking data stored in the memory 220. Alternatively, the processor 210 may be implemented in at least one hardware form of digital signal Processing (DIGITAL SIGNAL Processing, DSP), field-Programmable gate array (Field-Programmable GATE ARRAY, FPGA), programmable logic array (Programmable Logic Array, PLA). The processor 510 may integrate one or a combination of several of a central processing unit (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU), and a modem, etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for being responsible for rendering and drawing of display content; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 210 and may be implemented solely by a single communication chip.
Memory 220 may include random access Memory (Random Access Memory, RAM) or Read-Only Memory (ROM). Memory 220 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 220 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a similarity comparison function, a calculation function, a ranking function, etc.), instructions for implementing the various method embodiments described below, and the like. The storage data area may also store data created by the electronic device 200 in use (e.g., sign information, behavioral information, environmental information, history information list, etc.), and so forth.
Referring to fig. 8, fig. 8 is a block diagram illustrating a computer readable storage medium according to an embodiment of the application. The computer readable storage medium 300 has stored therein program code which is callable by a processor to perform the method described in the above method embodiments.
The computer readable storage medium 300 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. Optionally, the computer readable storage medium 300 comprises a non-volatile computer readable medium (non-transitory computer-readable storage medium). The computer readable storage medium 300 has storage space for program code 310 that performs any of the method steps described above. The program code can be read from or written to one or more computer program products. Program code 310 may be compressed, for example, in a suitable form.
According to the sleep quality monitoring method, the sleep quality monitoring device, the electronic equipment and the storage medium, physical sign information, behavior information and environment information of a user are obtained; determining sleep time information according to the sign information; determining sleep evaluation information according to the sign information, the behavior information, the sleep time information and the standard body index; determining sleep regulation information according to the environmental information, the sign information, the standard body index, the sleep time information and the history information list; a sleep report is generated based on the sleep evaluation information and the sleep adjustment information. Therefore, the sleep of the user is monitored and evaluated from multiple dimensions, and the corresponding sleep report is finally generated, so that the user can know the sleep condition of the user more accurately from the sleep report.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the application has been described in detail with reference to the foregoing embodiments, it will be appreciated by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not drive the essence of the corresponding technical solutions to depart from the spirit and scope of the technical solutions of the embodiments of the present application.