CN112674726A - Health state monitoring method, equipment and system and wearable equipment - Google Patents
Health state monitoring method, equipment and system and wearable equipment Download PDFInfo
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Abstract
The invention discloses a method, equipment and a system for monitoring a health state and wearable equipment, wherein the method comprises the following steps: acquiring human body sign data acquired by wearable equipment; analyzing the human body sign data based on a preset health prediction model to obtain reference health information corresponding to the human body sign data and deviation health information corresponding to the reference health information; respectively comparing the reference health information and the deviation health information with preset risk information to obtain comparison results; if the comparison result shows that the health risk exists, generating prompt information to perform risk early warning; the method and the system realize the automatic early warning of the health state, and relieve the risk early warning or maintain the risk early warning by responding to the health information selection request and according to the health information selection request, realize the confirmation of the health risk and avoid the risk early warning error. By adopting the technical scheme of the invention, the health state of the human body can be simply and accurately monitored.
Description
Technical Field
The invention belongs to the technical field of health monitoring equipment, and particularly relates to a health state monitoring method, health state monitoring equipment, a health state monitoring system and wearable equipment.
Background
With the aging of the population becoming more and more serious, the health of people is more and more emphasized. The large monitoring equipment of the medical institution cannot monitor the physical signs of a plurality of people in real time, and a plurality of processes are needed to be carried out when the physical signs of the human body are checked every time, so that the state of an illness can be influenced to a certain degree. And usually, certain manpower and material resources are consumed for detecting human body sign data, so that the detection efficiency of a medical institution is limited.
In the prior art, in order to meet the increasing demands of modern people on health and sports, various wearable devices have been developed with the function of detecting human body sign data (such as heart rate, respiration, etc.) in succession. However, the user cannot simply and accurately know the health status of the user according to the detected physical sign data of the human body.
Therefore, how to simply and accurately monitor the health status of the human body is a technical problem that needs to be solved urgently by those skilled in the art.
Disclosure of Invention
The invention mainly aims to provide a health state monitoring method, equipment, a system and wearable equipment, so as to solve the problem of simply and accurately monitoring the health state of a human body in the prior art.
In view of the above problems, the present invention provides a method for monitoring a health status, including:
acquiring human body sign data acquired by wearable equipment;
analyzing the human body sign data based on a preset health prediction model to obtain reference health information corresponding to the human body sign data and deviation health information corresponding to the reference health information;
respectively comparing the reference health information and the deviation health information with preset risk information to obtain comparison results;
if the comparison result shows that the health risk exists, generating prompt information to perform risk early warning;
responding to a health information selection request, and releasing the risk early warning or maintaining the risk early warning according to the health information selection request.
Further, the method for monitoring the health status further includes:
determining identity information of a wearer of the wearable device according to the human body sign data;
associating the baseline health information and the deviation health information with identity information of the wearer, respectively, to add the baseline health information and the deviation health information to a health database of the wearer.
Further, in the method for monitoring a health status, the identity information of the wearer of the wearable device is determined according to the human body sign data;
extracting characteristic quantity of the human body sign data;
and determining the identity information of the wearer corresponding to the characteristic quantity of the human body sign data according to the pre-established association relationship between the characteristic quantity and the identity information.
Further, in the method for monitoring a health state, the human body sign data is acquired after the wearable device monitors the self-starting signal.
Further, in the method for monitoring a health status, the wearable device is a head-mounted monitor; the self-starting signal is a brain wave signal.
Further, in the method for monitoring a health status, the human body sign data includes at least one of respiration data, pulse data, heart rate data, and body temperature data;
the respiration data is determined according to the electrical signal of the respiration center collected by the head-mounted monitor;
the heart rate data and the pulse data are determined according to the electrical signals of the sympathetic nerves collected by the head-mounted monitor;
the body temperature data is determined according to the temperature of the forehead of the human body collected by the head-mounted monitor.
Further, the method for monitoring the health status further includes:
generating a health information map of the baseline health information and the deviation health information;
and outputting the health information map.
The invention also provides a health state monitoring device, which comprises a memory and a controller;
the memory has stored thereon a computer program which, when being executed by the controller, carries out the steps of the method of monitoring a health status as described above.
The invention also provides wearable equipment which is provided with the health state monitoring equipment.
Further, in the wearable device, the wearable device is a head-mounted monitor;
the head-mounted monitor comprises:
a switch assembly;
the electroencephalogram monitoring component is connected with the switch component and is used for controlling the switch component to be closed to realize self-starting if a electroencephalogram signal is monitored, or controlling the switch component to be disconnected to realize self-shutdown if the time length of the electroencephalogram signal is not monitored reaches a preset time length;
and the human body characteristic monitoring assembly is connected with the switch assembly and used for acquiring the human body sign data in a closed state of the switch assembly.
Further, in the wearable device, the head-mounted monitor further includes:
a monitor body;
the switch subassembly the brain electricity monitoring subassembly with human characteristic monitoring subassembly passes through waterproof material and embeds on the monitor body.
Further, in the wearable device, the monitor body is a strap made of epoxy resin and/or polyester blend.
The invention also provides a health state monitoring system, which comprises:
the wearable device is used for acquiring human body sign data;
and the upper computer is used for realizing the steps of the health state monitoring method.
Compared with the prior art, one or more embodiments in the above scheme can have the following advantages or beneficial effects:
according to the method, the equipment, the system and the wearable equipment for monitoring the health state, the human body sign data acquired by the wearable equipment is acquired; analyzing the human body sign data based on a preset health prediction model to obtain reference health information corresponding to the human body sign data and deviation health information corresponding to the reference health information; respectively comparing the reference health information and the deviation health information with preset risk information to obtain comparison results; if the comparison result shows that the health risk exists, prompt information is generated to carry out risk early warning, the automatic early warning of the health state is achieved, the risk early warning is relieved or maintained according to the health information selection request by responding to the health information selection request, the confirmation of the health risk is achieved, and the risk early warning error is avoided. By adopting the technical scheme of the invention, the health state of the human body can be simply and accurately monitored.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart of an embodiment of a health status monitoring method of the present invention;
FIG. 2 is a schematic structural diagram of an embodiment of a health status monitoring apparatus according to the present invention;
FIG. 3 is a schematic structural diagram of an embodiment of a health status monitoring apparatus according to the present invention;
fig. 4 is a schematic structural diagram of an embodiment of the head-mounted monitor according to the present invention.
Detailed Description
The following detailed description of the embodiments of the present invention will be provided with reference to the drawings and examples, so that how to apply the technical means to solve the technical problems and achieve the technical effects can be fully understood and implemented. It should be noted that, as long as there is no conflict, the embodiments and the features of the embodiments of the present invention may be combined with each other, and the technical solutions formed are within the scope of the present invention.
Example one
In order to solve the technical problems in the prior art, embodiments of the present invention provide a method for monitoring a health status.
Fig. 1 is a flowchart of an embodiment of a health status monitoring method according to the present invention, and as shown in fig. 1, the health status monitoring method of the present embodiment may specifically include the following steps.
100. Acquiring human body sign data acquired by wearable equipment;
in practical application, the device for acquiring human body sign data in a medical institution can be simplified into a miniature device, such as a wearable device. In this way, human body sign data can be collected by the wearable device and obtained from the wearable device.
In a specific implementation process, most of wearable devices are manually started and inconvenient for users to use, so that in the embodiment, the self-starting assembly and the collecting assembly can be arranged for the wearable devices. Like this, self-starting subassembly is monitoring self-starting signal, starts wearable equipment to make self-starting signal acquisition human sign data. The wearable device of the embodiment is preferably a head-mounted monitor, and correspondingly, the self-starting signal of the head-mounted monitor is a brain wave signal. If the head-mounted monitor monitors brain wave signals of the human body, the equipment can be automatically started to start monitoring physical sign data (breathing data, pulse data, heart rate data and the like) of the human body in real time. When the head-wearing monitor cannot monitor the brain wave signals, the head-wearing monitor can still continuously operate within a set time (3 minutes), and then can be automatically closed.
The human body sign data in this embodiment may include at least one of respiration data, pulse data, heart rate data, and body temperature data. The respiratory data is determined according to an electric signal of a respiratory center acquired by a head-mounted monitor; the heart rate data and the pulse data are determined according to the electrical signals of the sympathetic nerves collected by the head-mounted monitor; the body temperature data is determined according to the temperature of the forehead of the human body collected by the head-mounted monitor.
For example, the present embodiment is directed to the medical feature corresponding to the specific feature, where the brain nerve is the most active, and therefore the occurrence of the electrical signal is the most active place. The sensor works on the principle of acquiring electric signals, and the electric signals in the brain are converted through a built-in circuit to acquire data. In practical application, after being stimulated, sympathetic nerves can generate certain chemical substances and generate corresponding electric signals, so that the heart rate of a person can be influenced, and then corresponding electric signals generated by the generated neurotransmitter in the brain are collected, so that heart rate data can be obtained, and pulse data can be determined according to the obtained heart rate data. For example, a pulse has a certain wave signal, and pulse data can be obtained by locating the maximum value and minimum value points of the wave signal, calculating the direct current component and alternating current component, calculating the heart rate from the pulse waveform, and performing back-stepping. The respiratory center is a nerve cell group which generates respiratory rhythm and regulates respiratory movement in a central nervous system, and the inspiration neuron can emit paroxysmal clustered electric potential for 12-15 times per minute, and is similar to respiratory frequency, so that accurate respiratory data can be obtained by detecting the electric signal. The temperature of the forehead of the human body can be collected through the temperature sensor.
101. Analyzing the human body sign data based on a preset health prediction model to obtain reference health information corresponding to the human body sign data and deviation health information corresponding to the reference health information;
in this embodiment, training may be performed based on a linear regression algorithm based on a large amount of known human body sign data to obtain a preset health prediction model, and the human body sign data is analyzed based on the preset health prediction model to obtain reference health information corresponding to the human body sign data and deviation health information corresponding to the reference health information.
Specifically, since the change of the human body sign data is caused by various factors, in order to monitor the health condition of the human body more accurately and objectively, the human body sign data can be analyzed without considering human body sign data influence factors to obtain the reference health information corresponding to the human body sign data, and then the deviation health information corresponding to the reference health information is obtained by analyzing again in combination with the human body sign data influence factors. For example, the reference health information is a specific reference health value, and the deviation health information is an upper deviation value and a lower deviation value of the reference health value, so that the health state of the healthy human body can be more comprehensive.
For example, a specific mathematical model may be used to simulate and calculate a change curve of the personal data for each item of human body sign data, and on the basis of real-time performance, a data change curve for a period of time (e.g., 3 days) in the future is calculated in advance according to a simulation calculation method, so as to obtain the reference health information corresponding to the human body sign data and the deviation health information corresponding to the reference health information.
102. Respectively comparing the reference health information and the deviation health information with preset risk information to obtain comparison results;
in this embodiment, the reference health information and the deviation health information may be compared with preset risk information, respectively, so as to obtain a comparison result. The comparison result comprises reference health information and deviation health information which both indicate that no health risk exists, or at least one of the reference health information and the deviation health information indicates that the health risk exists.
103. If the comparison result shows that the health risk exists, generating prompt information to perform risk early warning;
in a specific implementation process, the obtained comparison result indicates that a health risk exists, and prompt information can be generated to perform risk early warning so that a user or related personnel can take corresponding measures in time or in the health state of the user.
104. Responding to the health information selection request, and releasing the risk early warning or maintaining the risk early warning according to the health information selection request.
In practical application, since the change of the human body sign data is caused by various factors, the comparison result indicates that a wrong judgment may occur when a health risk exists, and therefore, in the embodiment, the comparison result, the reference health information and the deviation health information can be output and checked by related personnel, the comparison result is further confirmed by the first-concerned personnel, and the health information corresponding to the actual use requirement of the user is selected from the reference health information and the deviation health information. For example, the comparison result corresponding to the reference health information indicates that a health risk exists, while the comparison result corresponding to the deviation health information indicates that no health risk exists because of some influence factors, if the relevant personnel select the deviation health information, the risk prompt is not performed, otherwise, if the relevant personnel select the reference health information, the risk prompt is maintained. Therefore, relevant personnel can make targeted judgment and the method is more suitable for the real situation to a certain extent.
According to the monitoring method for the health state, the human body sign data acquired by the wearable device are acquired; analyzing the human body sign data based on a preset health prediction model to obtain reference health information corresponding to the human body sign data and deviation health information corresponding to the reference health information; respectively comparing the reference health information and the deviation health information with preset risk information to obtain comparison results; if the comparison result shows that the health risk exists, prompt information is generated to carry out risk early warning, the automatic early warning of the health state is achieved, the risk early warning is relieved or maintained according to the health information selection request by responding to the health information selection request, the confirmation of the health risk is achieved, and the risk early warning error is avoided. By adopting the technical scheme of the invention, the health state of the human body can be simply and accurately monitored.
In practical application, as the same wearable device may be used by a plurality of people, the invention further provides the following technical scheme in order to confirm the user and monitor the health status of different users.
In the method for monitoring the health state of the embodiment, after the human body sign data acquired by the wearable device is acquired, the identity information of the wearer of the wearable device can be determined according to the human body sign data acquired by the wearable device. Specifically, the characteristic quantity of the human body sign data can be extracted, and the identity information of the wearer corresponding to the characteristic quantity of the human body sign data is determined according to the pre-established association relationship between the characteristic quantity and the identity information. For example, taking heart rate data as an example, the heart rate characteristics of each wearer may be trained to obtain an identification model including characteristic quantities and identity information, and then the trained first identification model is used to identify the identity information of the wearer based on a comparison between the characteristic quantities of the human body sign data and the characteristic vectors in the previously-constructed association relationship between the characteristic quantities and the identity information. Similarly, the breathing data, the pulse data and the like can be used for identification, and therefore the human body sign data can be identified independently or comprehensively, and the embodiment is not limited specifically.
In this embodiment, after the identity information of the wearer of the wearable device is determined, the reference health information and the deviation health information may be associated with the identity information of the wearer, respectively, so as to add the reference health information and the deviation health information to the health database of the wearer, so that each user has its own health database, and at the same time, the situation of a health status monitoring error for the target object is prevented from occurring.
Further, in the above embodiment, after the health information maps of the reference health information and the deviation health information are generated, the health information maps are output so that relevant people can visually check the health information maps.
It should be noted that the method of the embodiment of the present invention may be executed by a single device, such as a computer or a server. The method of the embodiment can also be applied to a distributed scene and completed by the mutual cooperation of a plurality of devices. In the case of such a distributed scenario, one device of the multiple devices may only perform one or more steps of the method according to the embodiment of the present invention, and the multiple devices interact with each other to complete the method.
Example two
In order to solve the above technical problems in the prior art, an embodiment of the present invention provides a health status monitoring device.
Fig. 2 is a schematic structural diagram of an embodiment of the health status monitoring apparatus of the present invention, and as shown in fig. 2, the health status monitoring apparatus of the present embodiment may include an obtaining module 20, an analyzing module 21, and a predicting module 22.
The acquisition module 20 is configured to acquire human body sign data acquired by the wearable device;
in a specific implementation process, most of wearable devices are manually started and inconvenient for users to use, so that in the embodiment, the self-starting assembly and the collecting assembly can be arranged for the wearable devices. Like this, self-starting subassembly is monitoring self-starting signal, starts wearable equipment to make self-starting signal acquisition human sign data. The wearable device of the embodiment is preferably a head-mounted monitor, and correspondingly, the self-starting signal of the head-mounted monitor is a brain wave signal. If the head-mounted monitor monitors brain wave signals of the human body, the equipment can be automatically started to start monitoring physical sign data (breathing data, pulse data, heart rate data and the like) of the human body in real time. When the head-wearing monitor cannot monitor the brain wave signals, the head-wearing monitor can still continuously operate within a set time (3 minutes), and then can be automatically closed.
The human body sign data in this embodiment may include at least one of respiration data, pulse data, heart rate data, and body temperature data. The respiratory data is determined according to an electric signal of a respiratory center acquired by a head-mounted monitor; the heart rate data and the pulse data are determined according to the electrical signals of the sympathetic nerves collected by the head-mounted monitor; the body temperature data is determined according to the temperature of the forehead of the human body collected by the head-mounted monitor.
The analysis module 21 is configured to analyze the human body sign data based on a preset health prediction model to obtain reference health information corresponding to the human body sign data and deviation health information corresponding to the reference health information;
the prediction module 22 is configured to compare the reference health information and the deviation health information with preset risk information respectively to obtain comparison results; and if the comparison result shows that the health risk exists, generating prompt information to perform risk early warning, responding to the health information selection request, and removing the risk early warning or maintaining the risk early warning according to the health information selection request.
Further, in the above embodiment, the analysis module 21 is further configured to determine, according to the human body sign data, identity information of a wearer of the wearable device; for example, extracting characteristic quantities of human body sign data; and determining the identity information of the wearer corresponding to the characteristic quantity of the human body sign data according to the pre-established association relationship between the characteristic quantity and the identity information. After obtaining the identity information of the wearer of the wearable device, the reference health information and the deviation health information may be respectively associated with the identity information of the wearer to add the reference health information and the deviation health information to a health database of the wearer.
The apparatus of the foregoing embodiment is used to implement the corresponding method in the foregoing embodiment, and specific implementation schemes thereof may refer to the method described in the foregoing embodiment and relevant descriptions in the method embodiment, and have beneficial effects of the corresponding method embodiment, which are not described herein again.
EXAMPLE III
In order to solve the technical problems in the prior art, an embodiment of the present invention provides a health status monitoring device.
Fig. 3 is a schematic structural diagram of an embodiment of the health status monitoring device of the present invention, and as shown in fig. 3, the health status monitoring device of the present embodiment includes a memory 30 and a controller 31;
the memory 30 stores thereon a computer program that, when executed by the controller 31, implements the steps of the health status monitoring method of the above-described embodiment.
Example four
In order to solve the technical problems in the prior art, the embodiment of the invention provides wearable equipment.
The wearable device of the present embodiment is provided with the health status monitoring device of the above-described embodiment. Wherein, the wearable equipment of this embodiment is the head-mounted monitor.
Fig. 4 is a schematic structural diagram of an embodiment of the head-mounted monitor of the present invention, and as shown in fig. 4, the head-mounted monitor of this embodiment includes a switch component 40, an electroencephalogram monitoring component 41, and a body characteristic monitoring component 42. Wherein, the electroencephalogram monitoring component 41 and the human body characteristic monitoring component 42 are respectively connected with the switch component 40.
The electroencephalogram monitoring component 41 is used for controlling the switch component 40 to be closed to realize self-starting if a electroencephalogram signal is monitored, or controlling the switch component 40 to be disconnected to realize self-shutdown if the time length of the electroencephalogram signal is not monitored to reach a preset time length;
and the human body characteristic monitoring component 42 is used for acquiring the human body sign data in a closed state of the switch component 40.
In practice, the head-mounted monitor may further include a monitor body, which is preferably a strap made of epoxy and/or polyester blends. Switch module 40, brain electricity monitoring component 41 and human body feature monitoring component 42 are embedded through waterproof material on the monitor body to realize the washing of wear type monitor.
EXAMPLE five
In order to solve the technical problems in the prior art, an embodiment of the present invention provides a health status monitoring system.
The health status monitoring system of this embodiment includes host computer and the wearable equipment of above-mentioned embodiment. The wearable device is used for collecting human body sign data, and the upper computer is used for realizing the steps of the health state monitoring method of the embodiment. The upper computer can comprise at least one of a mobile phone, a computer and a server.
EXAMPLE six
In order to solve the above technical problems in the prior art, embodiments of the present invention provide a storage medium.
The storage medium of this embodiment stores thereon a computer program, and the computer program, when executed by the controller, implements the steps of the health status monitoring method of the above embodiment. .
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that the terms "first," "second," and the like in the description of the present invention are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present invention, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing module 32, or each unit may exist alone physically, or two or more units are integrated in one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although the embodiments of the present invention have been described above, the above description is only for the convenience of understanding the present invention, and is not intended to limit the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (13)
1. A method for health status monitoring, comprising:
acquiring human body sign data acquired by wearable equipment;
analyzing the human body sign data based on a preset health prediction model to obtain reference health information corresponding to the human body sign data and deviation health information corresponding to the reference health information;
respectively comparing the reference health information and the deviation health information with preset risk information to obtain comparison results;
if the comparison result shows that the health risk exists, generating prompt information to perform risk early warning;
responding to a health information selection request, and releasing the risk early warning or maintaining the risk early warning according to the health information selection request.
2. The method for monitoring the state of health of claim 1, further comprising:
determining identity information of a wearer of the wearable device according to the human body sign data;
associating the baseline health information and the deviation health information with identity information of the wearer, respectively, to add the baseline health information and the deviation health information to a health database of the wearer.
3. The method for monitoring the health status of claim 2, wherein the identity information of the wearer of the wearable device is determined according to the human body sign data;
extracting characteristic quantity of the human body sign data;
and determining the identity information of the wearer corresponding to the characteristic quantity of the human body sign data according to the pre-established association relationship between the characteristic quantity and the identity information.
4. The method for monitoring the health status of claim 1, wherein the human body sign data is acquired by the wearable device after monitoring a self-starting signal.
5. The method for monitoring the health status of claim 4, wherein the wearable device is a head-mounted monitor; the self-starting signal is a brain wave signal.
6. The method for monitoring health status of claim 5, wherein the human body sign data comprises at least one of respiration data, pulse data, heart rate data and body temperature data;
the respiration data is determined according to the electrical signal of the respiration center collected by the head-mounted monitor;
the heart rate data and the pulse data are determined according to the electrical signals of the sympathetic nerves collected by the head-mounted monitor;
the body temperature data is determined according to the temperature of the forehead of the human body collected by the head-mounted monitor.
7. The method for monitoring the state of health of claim 1, further comprising:
generating a health information map of the baseline health information and the deviation health information;
and outputting the health information map.
8. A health status monitoring device comprising a memory and a controller;
the memory has stored thereon a computer program which, when being executed by the controller, carries out the steps of the method of health status monitoring according to any one of claims 1 to 7.
9. A wearable device, characterized in that a health status monitoring device according to claim 8 is provided.
10. The wearable device of claim 9, wherein the wearable device is a headset;
the head-mounted monitor comprises:
a switch assembly;
the electroencephalogram monitoring component is connected with the switch component and is used for controlling the switch component to be closed to realize self-starting if a electroencephalogram signal is monitored, or controlling the switch component to be disconnected to realize self-shutdown if the time length of the electroencephalogram signal is not monitored reaches a preset time length;
and the human body characteristic monitoring assembly is connected with the switch assembly and used for acquiring the human body sign data in a closed state of the switch assembly.
11. The wearable device of claim 10, wherein the headset further comprises:
a monitor body;
the switch subassembly the brain electricity monitoring subassembly with human characteristic monitoring subassembly passes through waterproof material and embeds on the monitor body.
12. The wearable device of claim 10, wherein the monitor body is a strap made of epoxy and/or polyester blends.
13. A health status monitoring system, comprising:
wearable device according to any of claims 9-11 for acquiring human vital signs data;
an upper computer for implementing the steps of the method for monitoring health status according to any one of claims 1 to 7.
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