CN109448862B - Health monitoring and early warning method and device - Google Patents
Health monitoring and early warning method and device Download PDFInfo
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- CN109448862B CN109448862B CN201811083719.0A CN201811083719A CN109448862B CN 109448862 B CN109448862 B CN 109448862B CN 201811083719 A CN201811083719 A CN 201811083719A CN 109448862 B CN109448862 B CN 109448862B
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- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
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- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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Abstract
According to the health monitoring and early warning method and device, the personal physiological parameters and the personal physical sign parameters which are sent by the first client side are obtained, the current health early warning parameter threshold range is obtained based on the personal physical sign parameters, then the current health early warning parameter threshold range is corrected based on the personal physiological parameters, the personal physical sign parameters and pre-stored case information to obtain the actual health early warning parameter threshold range, and finally an early warning signal is generated when the personal physiological parameters exceed the actual health early warning parameter threshold range; the physiological state of the user can be known in real time, the life health of the user is guaranteed, the accuracy of a judgment result is improved, and the situations of false alarm and the like are avoided. The medical staff who is early-warned can be timely treated by the relevant medical staff, the state of an illness can be effectively controlled, the life health of the workers out of the country or the workers in remote areas is effectively guaranteed, and the safety risk of engineering projects is reduced.
Description
Technical Field
The invention relates to the field of health monitoring, in particular to a health monitoring early warning method and device.
Background
When the staff works overseas or in remote areas, once an accident occurs, the physical health cannot be guaranteed, the general working place is far away from the local medical treatment place, the language is not communicated, and the examination and treatment are inconvenient. At this time, it is very necessary to customize and develop a health monitoring and early warning system and corresponding hardware products.
However, when the worker is working in overseas or in remote areas, the worker cannot report to the relevant management personnel or medical care personnel in time, the condition of the patient is out of control, the first aid opportunity is delayed, the life health of the workers out of country or the workers in remote areas cannot be effectively guaranteed, and the safety risk of engineering projects is increased.
Disclosure of Invention
In view of the above, the present invention provides a health monitoring and warning method and device, so as to solve the above problems.
In order to achieve the above purpose, the embodiment of the present invention adopts the following technical solutions:
in a first aspect, an embodiment of the present invention provides a health monitoring and early warning method, which is applied to a server, and the health monitoring and early warning method includes:
acquiring personal physiological parameters and personal physical sign parameters sent by a first client;
acquiring a current health early warning parameter threshold value based on the personal physical sign parameter;
correcting the threshold range of the current health early warning parameter based on the personal physiological parameter, the personal physical sign parameter and pre-stored case information to obtain the threshold range of the actual health early warning parameter;
and when the personal physiological parameter exceeds the actual health early warning parameter threshold range, generating an early warning signal.
In a second aspect, an embodiment of the present invention provides a health monitoring and early warning apparatus, which is applied to a server, and the health monitoring and early warning apparatus includes:
the parameter acquisition unit is used for acquiring the personal physiological parameters and the personal physical sign parameters sent by the first client;
the early warning parameter threshold range acquisition unit is used for acquiring the current health early warning parameter threshold range based on the personal physical sign parameters;
the early warning parameter threshold range correcting unit is used for correcting the current health early warning parameter threshold range based on the personal physiological parameters, the personal physical sign parameters and pre-stored case information so as to obtain an actual health early warning parameter threshold range;
and the early warning signal generating unit is used for generating an early warning signal when the personal physiological parameter exceeds the actual health early warning parameter threshold range.
Compared with the prior art, the health monitoring and early warning method and the device provided by the invention have the advantages that the personal physiological parameters and the personal physical sign parameters sent by the first client are obtained, the current health early warning parameter threshold range is obtained based on the personal physical sign parameters, then the current health early warning parameter threshold range is corrected based on the personal physiological parameters, the personal physical sign parameters and pre-stored case information to obtain the actual health early warning parameter threshold range, and finally an early warning signal is generated when the personal physiological parameters exceed the actual health early warning parameter threshold range; the first client side provided by the health monitoring and early warning device can acquire and dynamically track physiological parameters of heart rate, blood pressure and the like of outgoing workers in real time, and meanwhile, the server is used for optimally correcting the threshold range of the current health early warning parameter by combining the case information and the personal sign characteristics of each worker to acquire the threshold range of the actual health early warning parameter, so that whether the personal physiological parameter of the user is normal or not is judged, the physiological state of the user can be known in real time, the life health of the user is guaranteed, the accuracy of the judgment result is improved, and the situations of false alarm and the like are avoided. The medical staff who is early-warned can be timely treated by the relevant medical staff, the state of an illness can be effectively controlled, the life health of the workers out of the country or the workers in remote areas is effectively guaranteed, and the safety risk of engineering projects is reduced.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 shows a functional block diagram of a health monitoring and early warning system provided by an embodiment of the invention.
Fig. 2 is a block diagram illustrating a server according to an embodiment of the present invention.
Fig. 3 shows a flowchart of a health monitoring and early warning method according to a first embodiment of the present invention.
Fig. 4 shows a flow chart of sub-steps of step S303 in fig. 3.
Fig. 5 shows another flowchart of the health monitoring and warning method according to the first embodiment of the present invention.
Fig. 6 shows a specific flowchart of a method for predicting a variation trend of a physiological parameter of an individual according to a first embodiment of the present invention.
Fig. 7 is a functional block diagram of a health monitoring and warning device according to a second embodiment of the present invention.
Icon: 100-a health monitoring and early warning system; 110-a server; 111-a memory; 112-a processor; 113-a communication unit; 120-a first client; 130-a second client; 200-a health monitoring and early warning device; 210-a parameter acquisition unit; 220-early warning parameter threshold value range obtaining unit; 230-early warning parameter threshold range correction unit; 240-a judgment unit; 250-an early warning signal generating unit; 260-a location information acquisition unit; 270-personal sign situation determination unit; 280-a physiological parameter variation trend prediction unit; 290-information push unit.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
It is noted that relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Referring to fig. 1, a functional block diagram of a health monitoring and warning system 100 applicable to an embodiment of the present invention is shown. The health monitoring and warning system 100 includes a server 110, a first client 120, and a second client 130.
The first client 120 is configured to collect information such as a physical examination report of the user, a questionnaire, an informed consent, a personal physiological parameter, a personal physical parameter, and the like, and receive an early warning signal. The first client 120 may be, but is not limited to, a mobile phone, a smart watch, or the like.
The second client 130 is used to receive the warning signal and other information from other clients. The second client 130 can be, but is not limited to, a physician client, a project manager client, and a system manager client.
Referring to fig. 2, a block diagram of the server 110 is shown. The server 110 includes a health monitoring and warning device 200, a memory 111, a processor 112 and a communication unit 113.
The memory 111, the processor 112 and the communication unit 113 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The health monitoring and warning device 200 includes at least one software functional module which can be stored in the memory 111 in the form of software or Firmware (Firmware) or is fixed in an Operating System (OS) of the server 110. The processor 112 is used for executing executable modules stored in the memory 111, such as software functional modules and computer programs included in the health monitoring and warning device 200.
The Memory 111 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 111 is used to store programs or data. The communication unit 113 is configured to establish a communication connection between the server 110 and another communication terminal via the network, and to transceive data via the network.
It should be understood that the architecture shown in FIG. 2 is merely a functional block diagram of server 110, and that server 110 may include more or fewer components than shown in FIG. 2, or have a different configuration than shown in FIG. 2. The components shown in fig. 2 may be implemented in hardware, software, or a combination thereof.
First embodiment
The embodiment of the invention provides a health monitoring and early warning method which is applied to a server 110, is used for health monitoring and early warning and is used for processing emergency situations, so that the life health of workers out of the country or workers in remote areas is further ensured. Please refer to fig. 3, which is a flowchart of a health monitoring and early warning method provided by the present invention. The health monitoring and early warning method comprises the following steps:
step S301, acquiring the personal physiological parameters and the personal physical parameters sent by the first client 120.
It should be noted that the physiological parameters of the individual to be acquired include, but are not limited to, heart rate, blood pressure, etc.; the parameters of the human body characteristics required to be acquired include but are not limited to personal height, weight, sex, daily physical conditions, family medical history, life style, direct relatives health condition and occupational disease risk exposure condition; the occupational disease risk exposure condition comprises exposure to occupational disease risk, exposure time and exposure frequency, hazard property, occupational disease possibility and the like.
Step S302, obtaining a current health early warning parameter threshold range based on the personal physical sign parameters.
It should be noted that, the health early warning parameter thresholds of different individual physical sign parameters are differentiated according to age, gender, motion state, physical condition, and the like; for example, under the same physiological health condition, the conditions of age, sex, motion state, physical condition and the like are equivalent, the health early warning parameter thresholds of men and women are different, and the health early warning parameter thresholds of old people and children are also different.
Step S303, the current health early warning parameter threshold range is corrected based on the personal physiological parameters, the personal physical sign parameters and the pre-stored case information to obtain the actual health early warning parameter threshold range.
It should be noted that the pre-stored case information may be information transmitted by the first user terminal, may be obtained by the server 110 receiving and analyzing a voice signal transmitted by the first user terminal, or may be obtained by the server 110 receiving and analyzing image information transmitted by the first user terminal.
It can be understood that the server 110 can perform semantic analysis on the characters in the physical examination report and has a voice recognition function, so that the user can input voice signals or image information through the first user terminal, and directly analyze and obtain and store the case information by the server 110.
Referring to fig. 4, a flowchart of the sub-steps of step S303 is shown, wherein step S303 includes:
substep S3031: and generating a health assessment report based on the personal physiological parameters, the pre-stored historical personal physiological parameters, the personal physical sign parameters, the pre-stored physical sign parameters and the pre-stored case information.
It should be noted that, after receiving the personal physiological parameters and the personal physical parameters, the server 110 updates and optimizes the existing health assessment report. The health assessment report is used for comprehensively reflecting the physical health condition of the user.
Substep S3032: and correcting the current health early warning parameter threshold range based on the health assessment report and the personal physical sign parameter to obtain an actual health early warning parameter threshold range.
For example, the health-warning parameter threshold range correction mechanism may be understood as: when the personal physical sign parameter of a certain user and the pre-stored case information are not changed, that is, the upper limit of the normal range of the blood pressure value of a person having the same personal physical sign parameter as the certain user, that is, having the same physiological condition (specifically, conditions such as age, sex, exercise state, and physical condition) should be 160mmHg, but the blood pressure value of the user is determined to be always 160mmHg through the evaluation of the health assessment report of the user, and the whole is normal, the upper limit of the health early warning blood pressure threshold of the user is dynamically corrected to 161mmHg (this range is merely an example, and is not representative, and the specific actual health early warning parameter threshold range varies from person to person).
Step S304, judging whether the personal physiological parameter exceeds the threshold range of the health early warning parameter, if so, executing step S305, and if not, executing step S303.
And comparing the acquired personal physiological parameters with the threshold range of the health early warning parameters so as to determine whether the personal physiological parameters exceed the threshold range of the actual health early warning parameters.
Specifically, when determining whether the personal physiological parameter exceeds the threshold range of the actual health warning parameter, a first distance value and a second distance value respectively formed by two endpoints of the personal physiological parameter and the threshold range of the actual health warning parameter need to be calculated, and then the minimum value of the first distance value and the second distance value is compared with a preset first threshold.
Step S305 generates an early warning signal.
When the personal physiological parameter of the user exceeds the threshold range of the actual health early warning parameter, the personal physiological parameter of the user is indicated to be too high, for example, when the blood pressure of a certain user is too high, body discomfort symptoms can occur, and the life health of the user can be endangered when the blood pressure is serious, so that an early warning signal is generated.
Specifically, the early warning signal comprises a first early warning signal and a second early warning signal, and when the minimum value of the first distance value and the second distance value is smaller than or equal to a preset first threshold value, the first early warning signal is generated; and generating a second early warning signal when the minimum value of the first distance value and the second distance value is greater than a preset first threshold value.
The first early warning signal and the second early warning signal are used for measuring the risk degree of the current physiological parameter of the user, and when the first early warning signal is generated, the current risk degree of the user is low; when the second early warning signal is generated, the current danger degree of the user is high, and the user needs to be rescued immediately.
For example, the first threshold is a reasonable value exceeding the threshold range of the actual health early warning parameter; for example, the blood pressure threshold range of a person is 110mmHg-160mmHg, and the first threshold may be 10mmHg (this range is merely illustrative and not representative, and the specific actual health warning parameter threshold range varies from person to person).
When the blood pressure of a user is 102mmHg, the distance values between the user and two endpoints are 8mmHg and 58mmHg respectively, the first distance value is 8mmHg, the second distance value is 58mmHg, the smaller value is taken as the first distance value, and the first distance value is smaller than the first threshold value by 10mmHg, at this moment, a first early warning signal is generated and corresponds to primary early warning;
when the blood pressure of the user is 165mmHg, the distance values between the blood pressure and the two endpoints are respectively 5mmHg and 55mmHg, the first distance value is 5mmHg, the second distance value is 55mmHg, the smaller value is taken as the first distance value, and the first distance value is smaller than the first threshold value by 10mmHg, at this moment, a first early warning signal is generated and corresponds to primary early warning;
when his blood pressure is below 100mmHg or above 170mmHg, the distance values to both endpoints are greater than 10mmHg, at which time a second warning signal is generated, corresponding to a secondary warning.
Description of the drawings: the actual health early warning parameter threshold ranges corresponding to different types of personal physiological parameters, such as blood pressure, body temperature and heart rate, are different.
Step S306, obtaining the location information of the first client 120.
The location of the first client 120 is obtained, and when the personal physiological parameter of the user associated with the first client 120 exceeds the threshold range of the actual health early warning parameter, the server 110 obtains the location information of the first client 120 to determine the location information of the user.
Step S307, the warning signal and the location information are pushed to the second client 130 associated with the first client 120.
The users of the second client 130 are generally a physician client, a project manager client, and a system manager client. The doctor can timely rescue the user according to the early warning signal and the position information of the user to be early warned; project management personnel can know the health condition of the user in time; a system administrator may conduct scientific research on the user's personal physiological data.
It should be noted that the health monitoring and early warning method may also be used to obtain the environmental parameters of the location where the first client 120 is located, so as to monitor the working environment of the employee who goes out, and determine whether the working environment will affect the physiological health of the employee.
Therefore, the health monitoring and early warning method further comprises the following steps:
please refer to fig. 5, which is a flowchart illustrating an environmental monitoring and warning method according to an embodiment of the present invention. Step S501, obtain an environmental parameter of the location where the first client 120 is located.
It should be noted that the environmental parameters include, but are not limited to, temperature, air pollution index, wind speed, etc., and the environmental parameters are detected by a commercially available environmental monitoring machine, and the data is accurate and can be monitored in real time, and the data monitored in real time is transmitted to the server 110.
Step S502, judging whether the environmental parameter exceeds the environmental parameter threshold value range, if yes, executing step S503.
Judging whether the acquired environmental parameters exceed an environmental parameter threshold range, for example, the temperature threshold range is 40 ℃, and judging whether the real-time temperature exceeds 40 ℃; and pushing a high-temperature early warning when the real-time temperature exceeds 40 ℃.
Step S503, generating a third warning signal.
And generating a third early warning signal when the environmental parameter exceeds the environmental parameter threshold range. In addition, the server 110 further associates a third warning signal with the second client 130 of the first client 120 to remind a user of the second client 130 that the working environment of the employee is bad and unsuitable for working.
Please refer to fig. 6, which is a flowchart illustrating an embodiment of a method for predicting a variation trend of a physiological parameter of an individual. It should be noted that the health monitoring and early warning method can also be used for transversely comparing the personal physiological parameters with the physiological parameters of the same type of people, so as to predict the change trend of the personal physiological parameters and predict the warning situation in advance. The health monitoring and early warning method for predicting the change trend of the personal physiological parameters in advance comprises the following steps:
wherein, the same type of people can be a set of individuals with equivalent conditions such as age, sex, exercise state, physical condition and the like.
Step S601, determining the condition of the personal physical sign according to the personal physical sign parameters and the pre-stored case information.
Step S602, predicting the variation trend of the personal physiological parameter based on the personal physiological parameter and the second personal physiological parameter.
It should be noted that the user corresponding to the second personal physiological parameter has the same physical characteristics as the user corresponding to the personal physiological parameter.
Therefore, the step aims to take individuals with the same personal physical sign conditions as the same type of people, and transversely compare the personal physiological parameters of the same type of people to predict the variation trend of the personal physiological parameters so as to predict whether the user possibly has potential health risks.
Step S603, pushing the trend of the personal physiological parameter to the second client 130 associated with the first client 120.
The users of the second client 130 are generally a physician client, a project manager client, and a system manager client. The user of the second client 130 further analyzes whether the user is in a warning situation.
It should be noted that the server is further configured to analyze the reason for generating the first warning signal or the second warning signal according to the health assessment report, the personal physiological parameter variation trend, and the environmental parameter of the location where the first client is located.
The server intelligently updates the weight of each parameter on the personal physiological influence through a correlation analysis algorithm, and analyzes the root cause of the generated early warning, namely, what causes the sudden diseases of the user are analyzed, and which factors are main factors.
Second embodiment
Referring to fig. 7, fig. 7 is a functional block diagram of a health monitoring and warning device 200 according to a preferred embodiment of the present invention. It should be noted that the basic principle and the generated technical effect of the health monitoring and warning device 200 provided in the present embodiment are the same as those of the above embodiments, and for the sake of brief description, no part of the present embodiment is mentioned, and reference may be made to the corresponding contents in the above embodiments.
The health monitoring and early warning device 200 comprises: the system comprises a parameter acquisition unit 210, an early warning parameter threshold range acquisition unit 220, an early warning parameter threshold range correction unit 230, a judgment unit 240, an early warning signal generation unit 250, a position information acquisition unit 260, a personal physical sign condition determination unit 270, a physiological parameter variation trend prediction unit 280 and an information push unit 290.
The parameter obtaining unit 210 is configured to obtain the personal physiological parameter and the personal physical sign parameter sent by the first client 120.
It is to be understood that, in a preferred embodiment, the parameter obtaining unit 210 is configured to execute step S301.
The early warning parameter threshold range obtaining unit 220 is configured to obtain a current health early warning parameter threshold range based on the personal physical sign parameter.
It is to be understood that, in a preferred embodiment, the early warning parameter threshold range obtaining unit 220 is configured to execute step S302.
The early warning parameter threshold range correcting unit 230 is configured to correct the current health early warning parameter threshold range based on the personal physiological parameter, the personal physical sign parameter, and pre-stored case information to obtain an actual health early warning parameter threshold range.
Specifically, the early warning parameter threshold range correcting unit 230 is configured to generate a health assessment report based on the personal physiological parameter, the pre-stored historical personal physiological parameter, the personal physical sign parameter, the pre-stored physical sign parameter, and the pre-stored case information, and correct the current health early warning parameter threshold range based on the health assessment report and the personal physical sign parameter to obtain an actual health early warning parameter threshold range.
It is to be understood that, in a preferred embodiment, the warning parameter threshold range modification unit 230 is operable to perform the steps S303, the sub-step S3031 and the sub-step S3032.
The determining unit 240 is used for determining whether the personal physiological parameter exceeds the threshold range of the health-warning parameter.
It is to be understood that, in a preferred embodiment, the determining unit 240 is configured to execute step S304.
The early warning signal generating unit 250 is configured to generate an early warning signal when the personal physiological parameter exceeds the actual health early warning parameter threshold range.
Specifically, the warning signal generating unit 250 is configured to calculate a first distance value and a second distance value respectively formed at two end points of the threshold ranges of the personal physiological parameter and the actual health warning parameter, and generate the first warning signal when a minimum value of the first distance value and the second distance value is less than or equal to a preset first threshold; and when the minimum value of the first distance value and the second distance value is greater than the preset first threshold value, generating the second early warning signal.
It is to be understood that, in a preferred embodiment, the warning signal generating unit 250 is operable to execute step S305.
The location information obtaining unit 260 is configured to obtain location information of the first client 120.
It is to be understood that, in a preferred embodiment, the position information obtaining unit 260 is operable to execute step S306.
The information pushing unit 290 is configured to push the warning signal and the location information to the second client 130 associated with the first client 120.
It is to be understood that, in a preferred embodiment, the information pushing unit 290 is configured to execute step S307.
It should be noted that the parameter obtaining unit 210 is further configured to obtain an environmental parameter of a location where the first client 120 is located.
It is to be understood that, in a preferred embodiment, the parameter obtaining unit 210 is configured to perform step S501.
The determining unit 240 is further configured to determine whether the environmental parameter exceeds an environmental parameter threshold range.
It is to be understood that, in a preferred embodiment, the judging unit 240 is configured to execute step S502.
The aforementioned early warning signal generating unit 250 is further configured to generate a third early warning signal when the environmental parameter exceeds a preset environmental parameter threshold range.
It is to be understood that, in a preferred embodiment, the warning signal generating unit 250 is operable to execute step S503.
The personal physical sign condition determining unit 270 is configured to determine a personal physical sign condition according to the personal physical sign parameters and pre-stored case information.
It is to be understood that, in a preferred embodiment, the personal physical sign condition determining unit 270 is operable to execute step S601.
The physiological parameter variation trend prediction unit 280 is used for predicting the variation trend of the personal physiological parameter based on the personal physiological parameter and the physiological parameter having the same personal physical sign condition with the personal physiological parameter.
It is to be understood that, in a preferred embodiment, the physiological parameter variation trend prediction unit 280 is operable to execute step S602.
The information pushing unit 290 is used for pushing the personal physiological parameter variation trend to the second client 130 associated with the first client 120.
It is to be understood that, in a preferred embodiment, the information pushing unit 290 is configured to perform step S603.
In summary, according to the health monitoring and early warning method and device provided by the present invention, the personal physiological parameter and the personal physical sign parameter sent by the first client are obtained, the current health early warning parameter threshold range is obtained based on the personal physical sign parameter, then the current health early warning parameter threshold range is corrected based on the personal physiological parameter, the personal physical sign parameter and the pre-stored case information to obtain the actual health early warning parameter threshold range, and finally, when the personal physiological parameter exceeds the actual health early warning parameter threshold range, an early warning signal is generated; the first client side provided by the health monitoring and early warning device can acquire and dynamically track physiological parameters of heart rate, blood pressure and the like of outgoing workers in real time, and meanwhile, the server is used for optimally correcting the threshold range of the current health early warning parameter by combining the case information and the personal sign characteristics of each worker to acquire the threshold range of the actual health early warning parameter, so that whether the personal physiological parameter of the user is normal or not is judged, the physiological state of the user can be known in real time, the life health of the user is guaranteed, the accuracy of the judgment result is improved, and the situations of false alarm and the like are avoided. The medical staff who is early-warned can be timely treated by the relevant medical staff, the state of an illness can be effectively controlled, the life health of the workers out of the country or the workers in remote areas is effectively guaranteed, and the safety risk of engineering projects is reduced.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A health monitoring and early warning method is applied to a server and comprises the following steps:
acquiring personal physiological parameters and personal physical sign parameters sent by a first client;
acquiring a current health early warning parameter threshold range based on the personal physical sign parameters;
correcting the current health early warning parameter threshold range based on the personal physiological parameters, the personal physical sign parameters and pre-stored case information to obtain an actual health early warning parameter threshold range;
generating an early warning signal when the personal physiological parameter exceeds the actual health early warning parameter threshold range;
the early warning signals comprise a first early warning signal and a second early warning signal;
the step of generating an early warning signal when the personal physiological parameter exceeds the actual health early warning parameter threshold range comprises:
calculating a first distance value and a second distance value respectively formed by two endpoints of the threshold range of the personal physiological parameter and the actual health early warning parameter;
when the minimum value of the first distance value and the second distance value is smaller than or equal to a preset first threshold value, generating the first early warning signal;
and when the minimum value of the first distance value and the second distance value is greater than the preset first threshold value, generating the second early warning signal.
2. The health monitoring and pre-warning method as claimed in claim 1, wherein the step of modifying the current health pre-warning parameter threshold range based on the personal physiological parameters, the personal physical parameters and pre-stored case information to obtain the actual health pre-warning parameter threshold range comprises:
generating a health assessment report based on the personal physiological parameters, pre-stored historical personal physiological parameters, the personal physical sign parameters, pre-stored physical sign parameters and pre-stored case information;
and correcting the current health early warning parameter threshold range based on the health assessment report and the personal physical sign parameter to obtain an actual health early warning parameter threshold range.
3. The health monitoring and pre-warning method as claimed in claim 2, wherein after the step of obtaining the personal physiological parameters and the personal physical parameters transmitted by the first client, the health monitoring and pre-warning method further comprises:
determining the personal physical sign condition according to the personal physical sign parameters and pre-stored case information;
predicting the variation trend of the personal physiological parameters based on the personal physiological parameters and second personal physiological parameters, wherein the user corresponding to the second personal physiological parameters and the user corresponding to the personal physiological parameters have the same personal sign conditions; pushing the personal physiological parameter variation trend to a second client associated with the first client.
4. The health monitoring and pre-warning method as claimed in claim 3, wherein the server analyzes the reason for generating the first pre-warning signal and/or the second pre-warning signal according to the health assessment report, the personal physiological parameter variation trend, and the environmental parameter of the location of the first client.
5. The health monitoring and pre-warning method as claimed in claim 1, wherein after the step of modifying the current health pre-warning parameter threshold range based on the personal physiological parameter, the personal physical parameter and pre-stored case information to obtain an actual health pre-warning parameter threshold range, the health monitoring and pre-warning method further comprises:
acquiring the position information of the first client;
and pushing the early warning signal and the position information to a second client associated with the first client.
6. The health monitoring and forewarning method of claim 1, further comprising:
acquiring the environmental parameters of the position of the first client;
and generating a third early warning signal when the environmental parameter exceeds a preset environmental parameter threshold range.
7. A health monitoring and early warning device is applied to a server and comprises:
the parameter acquisition unit is used for acquiring the personal physiological parameters and the personal physical sign parameters sent by the first client;
the early warning parameter threshold range acquisition unit is used for acquiring the current health early warning parameter threshold range based on the personal physical sign parameters;
the early warning parameter threshold range correcting unit is used for correcting the current health early warning parameter threshold range based on the personal physiological parameters, the personal physical sign parameters and pre-stored case information so as to obtain an actual health early warning parameter threshold range;
and the early warning signal generating unit is used for generating an early warning signal when the personal physiological parameter exceeds the actual health early warning parameter threshold range.
8. The health monitoring and warning device of claim 7, wherein the warning signal comprises a first warning signal and a second warning signal; the early warning signal generation unit is also used for
Calculating a first distance value and a second distance value respectively formed by two endpoints of the threshold range of the personal physiological parameter and the actual health early warning parameter;
when the minimum value of the first distance value and the second distance value is smaller than or equal to a preset first threshold value, generating the first early warning signal;
and when the minimum value of the first distance value and the second distance value is greater than the preset first threshold value, generating the second early warning signal.
9. The health monitoring and warning device as claimed in claim 1 or 8, further comprising:
the personal physical sign condition determining unit is used for determining the personal physical sign condition according to the personal physical sign parameters and pre-stored case information;
the physiological parameter variation trend prediction unit is used for predicting the variation trend of the personal physiological parameter based on the personal physiological parameter and the second personal physiological parameter;
and the information pushing unit is used for pushing the personal physiological parameter variation trend to a second client associated with the first client.
10. The health monitoring and warning device as in claim 7 or 8,
the parameter acquiring unit is further used for acquiring the environmental parameters of the position of the first client; the early warning signal generating unit is further used for generating a third early warning signal when the environmental parameter exceeds a preset environmental parameter threshold range.
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| CN110432876B (en) * | 2019-07-01 | 2022-05-27 | 江苏环亚医用科技集团股份有限公司 | Health monitoring alarm method and device |
| CN110600093B (en) * | 2019-08-16 | 2023-03-10 | 东莞市康助医疗科技有限公司 | Health management method, system, terminal equipment and storage medium |
| CN111166302A (en) * | 2019-12-25 | 2020-05-19 | 杭州中威电子股份有限公司 | Device and method for monitoring physiological indexes in real time in non-contact manner |
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| CN112562853A (en) * | 2020-12-07 | 2021-03-26 | 张舒羽 | Radiation detection and health management system for nuclear practitioners |
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