CN114469005B - Sleep state monitoring method and device and computer readable storage medium - Google Patents
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Abstract
The application discloses a sleep state monitoring method and device and a computer readable storage medium. Wherein the method comprises the following steps: acquiring activity state data of a target monitoring object, wherein the target monitoring object is an object needing sleep state monitoring; acquiring brain wave data of a target monitoring object; and monitoring the sleep state of the target monitoring object based on the activity state data and the brain wave data to obtain a sleep state result of the target monitoring object. The application solves the technical problem that the result is inaccurate due to the single means for judging the sleep state in the related technology.
Description
Technical Field
The present application relates to the field of sleep monitoring, and in particular, to a sleep state monitoring method and apparatus, and a computer readable storage medium.
Background
The sleep monitoring equipment on the market at present monitors the sleep state and basically judges through the body movement change rule of the human body, the judging condition is relatively single, and unfriendly sleep judgment possibly exists for people with night-tour habits, so that the sleep detection accuracy of the human body is lower.
In view of the above problems, no effective solution has been proposed at present.
Disclosure of Invention
The embodiment of the application provides a sleep state monitoring method, a sleep state monitoring device and a computer readable storage medium, which at least solve the technical problem that a result is inaccurate due to single means for judging the sleep state in the related technology.
According to an aspect of an embodiment of the present application, there is provided a sleep state monitoring method, including: acquiring activity state data of a target monitoring object, wherein the target monitoring object is an object needing sleep state monitoring; acquiring brain wave data of the target monitoring object; and monitoring the sleep state of the target monitoring object based on the activity state data and the brain wave data to obtain a sleep state result of the target monitoring object.
Optionally, acquiring the activity state data of the target monitoring object includes: acquiring images of the target monitoring object at different moments by using an image acquisition device; and analyzing the image to obtain the activity state data of the target monitoring object.
Optionally, acquiring the activity state data of the target monitoring object includes: acquiring activity monitoring data of a first wearable device worn by the target monitoring object, wherein the first wearable device acquires the activity monitoring data of the target monitoring object; and analyzing the activity monitoring data to obtain the activity state data of the target monitoring object.
Optionally, acquiring brain wave data of the target monitoring object includes: acquiring brain monitoring data of a second wearable device worn by the target monitoring object, wherein the second wearable device acquires the brain monitoring data of the target monitoring object; and analyzing the brain monitoring data to obtain brain wave data of the target monitoring object.
Optionally, performing sleep state monitoring on the target monitored object based on the activity state data and the brain wave data to obtain a sleep state result of the target monitored object, including: determining a first monitoring result of the target monitoring object based on the activity state data, and determining a second monitoring result of the target monitoring object based on the brain wave data; determining a first difference between the first monitoring result and the second monitoring result; under the condition that the first difference value is in a first preset numerical range, determining that the sleep state result is consistent with the first monitoring result and the second monitoring result; acquiring a third monitoring result of the target monitoring object at the previous moment and a fourth monitoring result at the later moment under the condition that the first difference value is in a second preset numerical range, and determining a sleep state result of the target monitoring object based on the first monitoring result, the second monitoring result, the third monitoring result and the fourth monitoring result; and under the condition that the first difference value is not in the second preset numerical range, acquiring the activity state data and the brain wave data of the target monitoring object again, and determining that the sleep state result of the target monitoring object at the current moment is the same as the sleep state result at the previous moment.
Optionally, determining the sleep state result of the target monitored object based on the first monitoring result, the second monitoring result, the third monitoring result, and the fourth monitoring result includes: determining an average value of the sum of the third monitoring result and the fourth monitoring result; determining an absolute value of a second difference value between the average value and a minimum value of the first monitoring result and the second monitoring result; determining that the sleep state result is consistent with the first monitoring result when the absolute value is not greater than a predetermined threshold; and determining that the sleep state result is consistent with the fourth monitoring result when the absolute value is greater than the preset threshold value.
According to another aspect of the embodiment of the present application, there is also provided a sleep state monitoring apparatus, including: the first acquisition module is used for acquiring the activity state data of a target monitoring object, wherein the target monitoring object is an object needing to be subjected to sleep state monitoring; the second acquisition module is used for acquiring brain wave data of the target monitoring object; and the third acquisition module is used for monitoring the sleep state of the target monitoring object based on the activity state data and the brain wave data to obtain a sleep state result of the target monitoring object.
Optionally, the first acquisition module includes: the acquisition unit is used for acquiring images of the target monitoring object at different moments by using image acquisition equipment; and the analysis unit is used for analyzing the image to obtain the activity state data of the target monitoring object.
Optionally, the first acquisition module includes: a first obtaining unit, configured to obtain activity monitoring data of a first wearable device worn by the target monitoring object, where the first wearable device collects the activity monitoring data of the target monitoring object; and the first analysis unit is used for analyzing the activity monitoring data to obtain the activity state data of the target monitoring object.
Optionally, the second acquisition module includes: a second acquiring unit, configured to acquire brain monitoring data of a second wearable device worn by the target monitoring object, where the second wearable device acquires the brain monitoring data of the target monitoring object; and the second analysis unit is used for analyzing the brain monitoring data to obtain brain wave data of the target monitoring object.
Optionally, the third obtaining module includes: a first determining unit configured to determine a first monitoring result of the target monitoring object based on the activity state data, and determine a second monitoring result of the target monitoring object based on the brain wave data; a second determining unit configured to determine a first difference between the first monitoring result and the second monitoring result; a third determining unit, configured to determine that the sleep state result is consistent with the first monitoring result and the second monitoring result when the first difference is within a first preset numerical range; a third obtaining unit, configured to obtain a third monitoring result of the target monitored object at a previous time and a fourth monitoring result at a subsequent time when the first difference is in a second preset numerical range, and determine a sleep state result of the target monitored object based on the first monitoring result, the second monitoring result, the third monitoring result, and the fourth monitoring result; and the fourth acquisition unit is used for re-acquiring the activity state data and the brain wave data of the target monitoring object under the condition that the first difference value is not in the second preset numerical range, and determining that the sleep state result of the target monitoring object at the current moment is the same as the sleep state result at the previous moment.
Optionally, the third obtaining unit includes: a first determining subunit configured to determine an average value of a sum of the third monitoring result and the fourth monitoring result; a second determining subunit, configured to determine an absolute value of a second difference between the average value and a minimum value of the first monitoring result and the second monitoring result; a third determining subunit, configured to determine that the sleep state result is consistent with the first monitoring result if the absolute value is not greater than a predetermined threshold; and a fourth determining subunit, configured to determine that the sleep state result is consistent with the fourth monitoring result when the absolute value is greater than the predetermined threshold.
According to another aspect of the embodiments of the present application, there is provided a computer readable storage medium, including a stored computer program, wherein the computer program, when executed by a processor, controls a device in which the computer readable storage medium is located to perform the method for monitoring a sleep state according to any one of the above.
According to another aspect of the embodiment of the present application, there is provided a processor, configured to execute a computer program, where the computer program executes the method for monitoring a sleep state according to any one of the above methods.
In the embodiment of the application, the activity state data of a target monitoring object is acquired, wherein the target monitoring object is an object needing to monitor the sleep state; acquiring brain wave data of a target monitoring object; and monitoring the sleep state of the target monitoring object based on the activity state data and the brain wave data to obtain a sleep state result of the target monitoring object. According to the sleep state monitoring method provided by the embodiment of the application, the purpose of detecting the sleep state of the target monitoring object based on the acquired activity state data and brain wave data of the monitoring object to acquire the sleep state result is achieved, so that the technical effect of improving the sleep state detection accuracy is achieved, and the technical problem that the result is inaccurate due to the fact that the means for judging the sleep state is single in the related technology is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
FIG. 1 is a flow chart of a method of monitoring sleep states according to an embodiment of the application;
FIG. 2 is a flow chart of a preferred sleep state monitoring method according to an embodiment of the present application;
fig. 3 is a schematic view of a sleep state monitoring device according to an embodiment of the present application.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
According to an embodiment of the present application, there is provided a method embodiment of a sleep state monitoring method, it should be noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different from that herein.
Fig. 1 is a flowchart of a sleep state monitoring method according to an embodiment of the present application, as shown in fig. 1, the method includes the steps of:
step S102, acquiring the activity state data of a target monitoring object, wherein the target monitoring object is an object needing to be subjected to sleep state monitoring.
Optionally, in the above step, a conventional decision body movement result (i.e., activity state data) of the target monitoring object is first obtained, and it should be noted that the conventional decision body movement result is a method for detecting a sleep state based on detecting the number of activities of the target object during sleep.
Step S104, acquiring brain wave data of the target monitoring object.
The brain wave data is used to determine the sleep state of the target user from the brain wave angle.
And step S106, monitoring the sleep state of the target monitoring object based on the activity state data and the brain wave data to obtain a sleep state result of the target monitoring object.
As can be seen from the above, in the embodiment of the present application, the activity state data of the target monitoring object may be obtained, where the target monitoring object is an object that needs to perform sleep state monitoring; then brain wave data of the target monitoring object can be obtained; and finally, the sleep state of the target monitoring object can be monitored based on the activity state data and the brain wave data, so that a sleep state result of the target monitoring object is obtained. According to the sleep state monitoring method provided by the embodiment of the application, the purpose of detecting the sleep state of the target monitoring object based on the acquired activity state data and brain wave data of the monitoring object to acquire the sleep state result is achieved, so that the technical effect of improving the sleep state detection accuracy is achieved, and the technical problem that the result is inaccurate due to the fact that the means for judging the sleep state is single in the related technology is solved.
As an alternative embodiment, acquiring activity state data of the target monitoring object includes: acquiring images of a target monitoring object at different moments by using an image acquisition device; and analyzing the image to obtain the activity state data of the target monitoring object.
In the above alternative embodiment, the image acquisition device is used to detect the images of the target object at different moments in time to analyze the activity state of the target monitoring object.
As an alternative embodiment, acquiring activity state data of the target monitoring object includes: acquiring activity monitoring data of a first wearable device worn by a target monitoring object, wherein the first wearable device acquires the activity monitoring data of the target monitoring object; and analyzing the activity monitoring data to obtain the activity state data of the target monitoring object.
In the above alternative embodiments, the manner of acquiring the activity state data of the target monitoring object includes, but is not limited to, acquiring the activity detection data by using a wearable device, and analyzing the acquired activity detection data to obtain the activity state of the target object.
As an alternative embodiment, acquiring brain wave data of a target monitoring object includes: acquiring brain monitoring data of a second wearable device worn by the target monitoring object, wherein the second wearable device acquires the brain monitoring data of the target monitoring object; and analyzing the brain monitoring data to obtain brain wave data of the target monitoring object.
In the above-described alternative embodiment, brain may be detected by the brain wave detection device worn by the target monitoring subject to acquire brain wave data.
As an optional embodiment, performing sleep state monitoring on the target monitoring object based on the activity state data and the brain wave data to obtain a sleep state result of the target monitoring object, including: determining a first monitoring result of the target monitoring object based on the activity state data, and determining a second monitoring result of the target monitoring object based on the brain wave data; determining a first difference between the first monitoring result and the second monitoring result; under the condition that the first difference value is in a first preset numerical range, determining that the sleep state result is consistent with the first monitoring result and the second monitoring result; under the condition that the first difference value is in a second preset numerical range, acquiring a third monitoring result of the target monitoring object at the previous moment and a fourth monitoring result at the next moment, and determining a sleep state result of the target monitoring object based on the first monitoring result, the second monitoring result, the third monitoring result and the fourth monitoring result; and under the condition that the first difference value is not in the first preset numerical range, acquiring the activity state data and the brain wave data of the target monitoring object again, and determining that the sleep state result of the target monitoring object at the current moment is the same as the sleep state result at the previous moment.
In the above alternative embodiment, four sleep states are set first, respectively: wakefulness (defined as 1), light sleep (defined as 2), REM state (defined as 3) and deep sleep (defined as 4), then respectively acquiring a detection result of determining a target monitoring object based on the activity state data (i.e., a first detection result) and a detection result of determining a target monitoring object based on the brain wave data (i.e., a second detection result), and subtracting absolute values of the two detection results, wherein if the results are in the first predetermined numerical range (e.g., the result is 0), the brain wave result (the second detection result) is consistent with the traditional judgment body movement result (the first detection result), and the original result is maintained; if the result is not in the second preset numerical range, for example, if the result is greater than 1, the difference between the two detection results is larger, the first detection result and the second detection result of the target monitoring object are acquired again, and the sleep state result is determined as the sleep state result at the previous moment; if the result is in the second predetermined numerical range, for example, the result is equal to 1, the sleep state result at the previous moment and the sleep state result at the next moment are added and divided by two, and a smaller value between the first detection result and the second detection result is subtracted, if the data is larger than the first predetermined numerical range, the sleep state is determined to be a larger value between the first detection result and the second detection result; if the data is not larger than the first preset numerical range, the sleep state is determined to be a smaller value between the first detection result and the second detection result.
As an alternative embodiment, determining the sleep state result of the target monitor object based on the first monitor result, the second monitor result, the third monitor result, and the fourth monitor result includes: determining an average value of the sum of the third monitoring result and the fourth monitoring result; determining an absolute value of a second difference value between the average value and the minimum value of the first monitoring result and the second monitoring result; determining that the sleep state result is consistent with the first monitoring result under the condition that the absolute value is not greater than a preset threshold value; and in the case that the absolute value is greater than the preset threshold value, determining that the sleep state result is consistent with the fourth monitoring result.
FIG. 2 is a flowchart of a preferred sleep state monitoring method according to an embodiment of the present application, as shown in FIG. 2, R-1 represents a sleep monitoring result at a previous time, R1 represents a sleep monitoring result at a later time, the consistency of the two conclusions is firstly determined, if the two conclusions are consistent, the conclusions are consistent, and the sleep state determination result is not controversial; if the two conclusions are not consistent, a question is put forward, and continuous judgment is carried out according to four sleep states divided by the user; if the two conclusions have larger differences and exceed two state points, judging that the detection is not true, and continuing the sleep state at the previous moment; if the two sleep states are judged to be adjacent two state points, the sleep state (R-1) at the previous moment and the body movement judgment sleep state (R1) at the later moment are obtained, and judgment is carried out again; if the phase difference is |r1-R-1| > a predetermined threshold (e.g., 1), i.e., two or more status points, then its max (R, R0) is used as its final sleep status point. If |r1-R-1| < = a predetermined threshold (e.g. 1), i.e. within two status points, its min (R, R0) is used as its final sleep status point. According to the initial data acquisition, a model can be established through mass data, brain wave data and judgment results, the rationality of the judgment results is judged, when the judgment results are in conflict or objection, the rationality can be judged through the model, and the accuracy of the sleep state is further judged.
From the above, according to the sleep monitoring method provided by the embodiment of the application, brain wave detection is added and auxiliary judgment is participated, so that the resolution of a sleep state can be effectively improved, the error rate is reduced, and better and more effective sleep scores and sleep suggestions are provided for users; and the method also optimizes the defects existing in the judgment of the sleep state by the body movement of the human body at present based on the combination of the knowledge graph and the human brain wave detection, and increases one dimension to improve the accuracy of the judgment of the sleep state.
Example 2
According to another aspect of the embodiment of the present application, there is provided a sleep state monitoring device, and fig. 3 is a schematic diagram of the sleep state monitoring device according to the embodiment of the present application, as shown in fig. 3, including: the first acquisition module 31, the second acquisition module 33, and the third acquisition module 35. The following describes the sleep state monitoring device.
A first obtaining module 31, configured to obtain activity state data of a target monitoring object, where the target monitoring object is an object that needs to perform sleep state monitoring;
a second acquisition module 33 for acquiring brain wave data of the target monitoring object;
the third obtaining module 35 is configured to monitor the sleep state of the target monitoring object based on the activity state data and the brain wave data, and obtain a sleep state result of the target monitoring object.
Here, the first, second and third acquisition modules 31, 33 and 35 correspond to steps S102 to S106 in embodiment 1, and the modules are the same as the examples and application scenarios implemented by the corresponding steps, but are not limited to those disclosed in embodiment 1. It should be noted that the modules described above may be implemented as part of an apparatus in a computer system, such as a set of computer-executable instructions.
As can be seen from the above, in the embodiment of the present application, the first obtaining module 31 may be utilized to obtain the activity state data of the target monitoring object, where the target monitoring object is an object that needs to perform sleep state monitoring; the second acquisition module 33 may then be utilized to acquire brain wave data of the target monitoring object; finally, the third obtaining module 35 may be used to monitor the sleep state of the target monitoring object based on the activity state data and the brain wave data, so as to obtain the sleep state result of the target monitoring object. By the sleep state monitoring device provided by the embodiment of the application, the purpose of detecting the sleep state of the target monitoring object based on the acquired activity state data and brain wave data of the monitoring object to acquire the sleep state result is achieved, so that the technical effect of improving the sleep state detection accuracy is achieved, and the technical problem that the result is inaccurate due to the fact that the means for judging the sleep state is single in the related technology is solved.
Optionally, the first acquisition module includes: the acquisition unit is used for acquiring images of the target monitoring object at different moments by using the image acquisition equipment; and the analysis unit is used for analyzing the image to obtain the activity state data of the target monitoring object.
Optionally, the first acquisition module includes: the first acquisition unit is used for acquiring activity monitoring data of a first wearable device worn by the target monitoring object, wherein the first wearable device acquires the activity monitoring data of the target monitoring object; and the first analysis unit is used for analyzing the activity monitoring data to obtain the activity state data of the target monitoring object.
Optionally, the second acquisition module includes: the second acquisition unit is used for acquiring brain monitoring data of a second wearable device worn by the target monitoring object, wherein the second wearable device acquires the brain monitoring data of the target monitoring object; and the second analysis unit is used for analyzing the brain monitoring data to obtain brain wave data of the target monitoring object.
Optionally, the third acquisition module includes: a first determining unit configured to determine a first monitoring result of the target monitoring object based on the activity state data, and determine a second monitoring result of the target monitoring object based on the brain wave data; a second determining unit configured to determine a first difference between the first monitoring result and the second monitoring result; a third determining unit, configured to determine that the sleep state result is consistent with the first monitoring result and the second monitoring result when the first difference is within a first predetermined numerical range; the third obtaining unit is used for obtaining a third monitoring result of the target monitoring object at the previous moment and a fourth monitoring result at the subsequent moment under the condition that the first difference value is in the second preset numerical range, and determining a sleep state result of the target monitoring object based on the first monitoring result, the second monitoring result, the third monitoring result and the fourth monitoring result; and the fourth acquisition unit is used for re-acquiring the activity state data and the brain wave data of the target monitoring object under the condition that the first difference value is not in the first preset numerical range, and determining that the sleep state result of the target monitoring object at the current moment is the same as the sleep state result at the previous moment.
Optionally, the third obtaining unit includes: a first determining subunit, configured to determine an average value of a sum of the third monitoring result and the fourth monitoring result; a second determining subunit, configured to determine an absolute value of a second difference between the average value and a minimum value of the first monitoring result and the second monitoring result; a third determining subunit, configured to determine that the sleep state result is consistent with the first monitoring result when the absolute value is not greater than the predetermined threshold; and a fourth determination subunit, configured to determine that the sleep state result is consistent with the fourth monitoring result when the absolute value is greater than the predetermined threshold.
Example 3
According to another aspect of the embodiments of the present application, there is provided a computer readable storage medium, including a stored computer program, wherein the computer program when executed by a processor controls a device in which the computer readable storage medium is located to perform the method for monitoring a sleep state according to any one of the above.
Example 4
According to another aspect of the embodiments of the present application, there is also provided a processor, configured to execute a computer program, where the computer program executes the method for monitoring a sleep state according to any one of the above.
The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
In the foregoing embodiments of the present application, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed technology may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, for example, may be a logic function division, and may be implemented in another manner, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely a preferred embodiment of the present application and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present application, which are intended to be comprehended within the scope of the present application.
Claims (8)
1. A method for monitoring sleep states, comprising:
acquiring activity state data of a target monitoring object, wherein the target monitoring object is an object needing sleep state monitoring;
acquiring brain wave data of the target monitoring object;
performing sleep state monitoring on the target monitoring object based on the activity state data and the brain wave data to obtain a sleep state result of the target monitoring object;
the method for monitoring the sleep state of the target monitoring object based on the activity state data and the brain wave data to obtain the sleep state result of the target monitoring object comprises the following steps: determining a first monitoring value of the target monitoring object based on the activity state data, and determining a second monitoring value of the target monitoring object based on the brain wave data; determining a first difference between the first monitored value and the second monitored value; determining that the sleep state result is consistent with the first monitoring value and the second monitoring value under the condition that the first difference value is in a first preset numerical range; acquiring a third monitoring value of the target monitoring object at a previous moment and a fourth monitoring value at a later moment under the condition that the first difference value is in a second preset numerical range, and determining a sleep state result of the target monitoring object based on the first monitoring value, the second monitoring value, the third monitoring value and the fourth monitoring value; when the first difference value is not in the second preset numerical range, acquiring the activity state data and brain wave data of the target monitoring object again, and determining that the sleep state result of the target monitoring object at the current moment is the same as the sleep state result at the previous moment, wherein the first monitoring value, the second monitoring value, the third monitoring value and the fourth monitoring value respectively represent different sleep states, the corresponding numerical value is 1 when the sleep state is awake, the corresponding numerical value is 2 when the sleep state is light sleep, the corresponding numerical value is 3 when the sleep state is REM, and the corresponding numerical value is 4 when the sleep state is deep sleep;
wherein determining the sleep state result of the target monitored object based on the first monitored value, the second monitored value, the third monitored value, and the fourth monitored value comprises: determining an average of the sum of the third and fourth monitored values; determining an absolute value of a second difference between the average value and a minimum value of the first and second monitored values; determining that the sleep state result is consistent with the first monitored value if the absolute value is not greater than a predetermined threshold; and determining that the sleep state result is consistent with the fourth monitoring value when the absolute value is greater than the predetermined threshold.
2. The method of claim 1, wherein obtaining activity status data of the target monitored object comprises:
acquiring images of the target monitoring object at different moments by using an image acquisition device;
and analyzing the image to obtain the activity state data of the target monitoring object.
3. The method of claim 1, wherein obtaining activity status data of the target monitored object comprises:
acquiring activity monitoring data of a first wearable device worn by the target monitoring object, wherein the first wearable device acquires the activity monitoring data of the target monitoring object;
and analyzing the activity monitoring data to obtain the activity state data of the target monitoring object.
4. The method of claim 1, wherein acquiring brain wave data of the target monitored subject comprises:
acquiring brain monitoring data of a second wearable device worn by the target monitoring object, wherein the second wearable device acquires the brain monitoring data of the target monitoring object;
and analyzing the brain monitoring data to obtain brain wave data of the target monitoring object.
5. A sleep state monitoring device, comprising:
the first acquisition module is used for acquiring the activity state data of a target monitoring object, wherein the target monitoring object is an object needing to be subjected to sleep state monitoring;
the second acquisition module is used for acquiring brain wave data of the target monitoring object;
the third acquisition module is used for carrying out sleep state monitoring on the target monitoring object based on the activity state data and the brain wave data to obtain a sleep state result of the target monitoring object;
wherein, the third acquisition module includes: a first determining unit configured to determine a first monitoring value of the target monitoring object based on the activity state data, and determine a second monitoring value of the target monitoring object based on the brain wave data; a second determining unit configured to determine a first difference between the first monitor value and the second monitor value; a third determining unit, configured to determine that the sleep state result is consistent with the first monitoring value and the second monitoring value when the first difference is within a first preset numerical range; a third obtaining unit, configured to obtain, when the first difference is in a second preset numerical range, a third monitored value of the target monitored object at a previous time and a fourth monitored value of the target monitored object at a subsequent time, and determine a sleep state result of the target monitored object based on the first monitored value, the second monitored value, the third monitored value, and the fourth monitored value; a fourth obtaining unit, configured to re-obtain, when the first difference value is not in the second preset numerical range, active state data and brain wave data of the target monitoring object, and determine that a sleep state result of the target monitoring object at a current time is the same as a sleep state result at the previous time, where the first monitoring value, the second monitoring value, the third monitoring value, and the fourth monitoring value respectively represent different sleep states, a value corresponding to the sleep state is 1 when awake, a value corresponding to the sleep state is 2 when light sleep, a value corresponding to the sleep state is REM is 3, and a value corresponding to the sleep state is 4 when deep sleep;
wherein the third acquisition unit includes: a first determining subunit configured to determine an average value of a sum of the third monitored value and the fourth monitored value; a second determining subunit configured to determine an absolute value of a second difference between the average value and a minimum value of the first monitored value and the second monitored value; a third determining subunit configured to determine that the sleep state result is consistent with the first monitored value, if the absolute value is not greater than a predetermined threshold; and a fourth determining subunit, configured to determine that the sleep state result is consistent with the fourth monitored value when the absolute value is greater than the predetermined threshold.
6. The apparatus of claim 5, wherein the first acquisition module comprises:
the acquisition unit is used for acquiring images of the target monitoring object at different moments by using image acquisition equipment;
and the analysis unit is used for analyzing the image to obtain the activity state data of the target monitoring object.
7. A computer readable storage medium, characterized in that the computer readable storage medium comprises a stored computer program, wherein the computer program, when run by a processor, controls a device in which the computer readable storage medium is located to perform the method of monitoring a sleep state as claimed in any one of the preceding claims 1-4.
8. A processor, characterized in that the processor is adapted to run a computer program, wherein the computer program, when run, performs the method of monitoring a sleep state as claimed in any one of the preceding claims 1 to 4.
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