CN118213074A - Health physical examination management terminal system - Google Patents
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- 230000036541 health Effects 0.000 title claims abstract description 174
- 238000007726 management method Methods 0.000 claims abstract description 176
- 238000009825 accumulation Methods 0.000 claims abstract description 12
- 238000012544 monitoring process Methods 0.000 claims abstract description 12
- 238000012549 training Methods 0.000 claims abstract description 9
- 230000002159 abnormal effect Effects 0.000 claims abstract description 7
- 238000007405 data analysis Methods 0.000 claims abstract description 5
- 238000013523 data management Methods 0.000 claims abstract description 5
- 238000013527 convolutional neural network Methods 0.000 claims abstract description 4
- 238000000034 method Methods 0.000 claims description 25
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- 210000004369 blood Anatomy 0.000 claims description 18
- 230000000694 effects Effects 0.000 claims description 18
- 230000008569 process Effects 0.000 claims description 18
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 16
- 229910052760 oxygen Inorganic materials 0.000 claims description 16
- 239000001301 oxygen Substances 0.000 claims description 16
- 230000036760 body temperature Effects 0.000 claims description 15
- 230000008859 change Effects 0.000 claims description 13
- 238000004458 analytical method Methods 0.000 claims description 12
- 229910052739 hydrogen Inorganic materials 0.000 claims description 12
- 230000003068 static effect Effects 0.000 claims description 11
- 230000006870 function Effects 0.000 claims description 9
- 230000004622 sleep time Effects 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 8
- 230000007613 environmental effect Effects 0.000 claims description 8
- 235000005911 diet Nutrition 0.000 claims description 4
- 230000037213 diet Effects 0.000 claims description 4
- 230000003862 health status Effects 0.000 claims description 4
- 230000002035 prolonged effect Effects 0.000 claims description 4
- 238000004904 shortening Methods 0.000 claims description 4
- 238000004088 simulation Methods 0.000 claims description 4
- 238000012502 risk assessment Methods 0.000 claims description 3
- 230000036578 sleeping time Effects 0.000 claims description 3
- 230000006806 disease prevention Effects 0.000 abstract description 7
- 201000010099 disease Diseases 0.000 abstract description 6
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 abstract description 6
- 238000011161 development Methods 0.000 description 7
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Abstract
The invention relates to the technical field of physical examination management equipment, and particularly discloses a health physical examination management terminal system, which comprises: the portable mobile terminal device comprises a user mode setting module and a vital sign monitoring module; and a data management module: performing machine training by inputting historical user health management data and historical user vital sign parameter data to obtain a sample, and inputting the sample into a model built by a convolutional neural network to generate a health management model; the data analysis module receives the user health management data and the vital sign parameter data, judges whether abnormal conditions occur in the user health management according to the user health management data and generates a first early warning signal; and according to the user health management data in the accumulation period and the vital sign parameter data acquired in real time, the user physical state in the user health management state is judged to generate a second early warning signal and update the health management model, so that the generation of the user health management concept is promoted, the risk of occurrence of diseases is reduced by the autonomous physical examination operation of personnel, and the prediction efficiency of disease prevention is improved.
Description
Technical Field
The invention relates to the technical field of physical examination management equipment, in particular to a health physical examination management terminal system.
Background
With the increasing speed of population expansion and urbanization development progress, the improvement of the living standard of people is accompanied by the relative improvement of the requirements on medical services, and the development of medical services is relatively slow compared with the rapid development of population expansion and economy, so that a plurality of chronic patients need to perform regular physical examination and search medical physical examination institutions such as hospitals with physical examination conditions; most of the traditional hospital physical examination modes adopt hospital examination or physical examination centers and community physical examination institutions with physical examination equipment nearby, physical examination personnel are required to carry out round-trip registration or on-site registration, queuing and the like, and most of waiting and diagnosis time is wasted.
Moreover, many physical examination staff often lack intelligent education on the field operation of a physical examination management system with an intelligent information system, so that many potential chronic patients lack the concept of intelligent physical examination, and lack the process of autonomous physical examination prediction and active disease prevention on the physical health condition of the patients; in addition, for patients after treatment in hospitals, the lack of equipment for health management of the body of rehabilitation patients results in that patients cannot detect vital sign information of the patients anytime and anywhere, and also lack of sufficient post-operation rehabilitation and development of health management life concepts.
Disclosure of Invention
The invention aims to provide a health physical examination management terminal system, which solves the following technical problems:
How to promote the generation of user health management concept, emphasize that personnel self-check operation reduces disease occurrence risk, improves the prediction efficiency of disease prevention.
The aim of the invention can be achieved by the following technical scheme:
a health physical examination management terminal system, comprising:
The portable mobile terminal device comprises a user mode setting module and a vital sign monitoring module;
The user mode setting module is used for acquiring physiological parameters of a user and generating different user modes and user health management data; the user mode includes: weight losing, weight increasing and health preserving;
The vital sign monitoring module is used for collecting vital sign parameters of a user in real time and generating vital sign parameter data;
and a data management module: performing machine training by inputting historical user health management data and historical user vital sign parameter data to obtain a sample, and inputting the sample into a model built by a convolutional neural network to generate a health management model;
The data analysis module is used for receiving the user health management data and the vital sign parameter data, judging whether abnormal conditions occur in the user health management according to the user health management data and generating a first early warning signal;
the system comprises a user health management module, a user health management module and a health management module, wherein the user health management module is used for acquiring user health management data in an accumulation period and life characteristic parameter data acquired in real time;
and the early warning module is used for executing the first early warning signal and the second early warning signal.
Preferably, the method for generating the first early warning signal comprises the following steps:
the user inputs physiological data information of the age, the height and the weight of the person to the client;
The server side invokes the historical physical examination information of the user to perform simulation training to acquire the health state of the user;
the user health status includes: healthy, sub-healthy, unhealthy;
the server side generates user health management data according to the received user physiological data information and the user health state;
and analyzing the risk state of the user health management data, and feeding back the current user mode to the client.
Preferably, the risk analysis method of the user health management data is as follows:
collecting user accumulated sleep time and user accumulated activity time corresponding to current user health management data in real time, calculating average daily sleep time and average daily activity time, and judging
If the average daily sleeping time and the average daily activity time both accord with the corresponding preset threshold range in the user mode, judging whether the user health management accords with the requirement or not; if not, generating a first early warning signal.
Preferably, the user health management state includes an active state and a relatively stationary state.
Preferably, the generating process of the second early warning signal includes:
Receiving vital sign parameter data of a user, analyzing the vital sign parameter data, and obtaining a vital sign quantity coefficient V it of the user;
Comparing the vital sign quantity coefficient V it of the user with a preset threshold interval [ V A,VB ]:
If V it<VA is detected, generating a second early warning signal;
If V B≥Vit≥VA, user state analysis is performed:
The process of user state analysis:
acquiring state information and corresponding time in a user accumulated health management period:
By the formula Acquiring a management state coefficient V st;
Wherein [ t x,ty ] is the accumulation period when the user is in an active state, and [ t i,tj ] is the accumulation period when the user is in a relatively static state; θ, γ are preset weight coefficients, and θ > γ >0;
Comparing the vital sign quantity coefficient V it with the management state coefficient V st:
If V it<Vst, a second early warning signal is generated.
Preferably, the acquiring process of the vital sign quantity coefficient V it:
the personnel vital sign parameters are obtained through a vital sign monitoring module: heart rate, blood oxygen, body temperature:
By the formula Calculating vital sign quantity coefficients V it in the first m health management periods, wherein mu i is a weight coefficient of personnel vital sign parameters in an i-type user mode; /(I)A person vital sign status value in class i user mode; n is the total number of health management periods;
the said The calculation formula of (2) is as follows:
Calculating the state value of the vital sign of the person
Wherein R is a heart rate value, and R 0 is a heart rate standard value; o is the blood oxygen value, and O 0 is the blood oxygen standard value; w is a body temperature value, W 0 is a body temperature standard value; Δr is a preset heart rate deviation value; Δo is a preset body temperature deviation value; Δw is a preset blood oxygen bias value; t is the ambient temperature, H is the ambient humidity; alpha (T, H) is a heart rate environmental factor influence function; sigma (T, H) is a blood oxygen environment factor influence function; delta (T, H) is a function of the influence of environmental factors of body temperature.
Preferably, the system further comprises a health consultation module, wherein the health consultation module is used for pushing corresponding health diet information links according to the selected user mode, and adjusting the real-time health management period according to the management state coefficients V st of different users:
Acquiring a curve L of personnel management state coefficients V st of N health management period tasks along with the change of time t;
Establishing a curve L and a preset standard curve L 0 in the same coordinate system, acquiring a set { V st1,Vst2...Vstn } of points n of which the V st is higher than the standard curve L 0 in the curve L and a set { V st1′,Vst2′...Vstm' } of points m of which the V st is higher than the standard curve L 0 in the curve L, and judging:
if n is more than m, shortening the current health management period;
If n is less than m, prolonging the current health management period;
If n=m, subtracting the new difference set { Δv st1,ΔVst2...ΔVst(n-m) } obtained by the calculation of the set { V st1,Vst2...Vstn } minus the set { V stl′,Vst2′...Vstm' };
summing the difference set { DeltaV st1,ΔVst2...ΔVst(n-m) } V sto＝ΔVst1+ΔVst2...+ΔVst(n-m) and comparing V sto to a preset threshold V thr:
If V sto∈Vthr is the same, the current health management period length is kept;
If V sto<Vthr is the same, the current health management period is prolonged;
if V sto>Vthr, the current health management period is shortened.
Preferably, the portable mobile terminal device further comprises;
and the data display module is used for displaying the output result of the health management model.
The invention has the beneficial effects that: according to the invention, by arranging the portable mobile terminal equipment, personnel can conveniently wear and autonomously carry the terminal equipment, historical user physiological parameters and user vital sign parameters are acquired in the data management module according to the intelligent connection of big data of the terminal equipment, and the preliminary construction of a health management model is realized; and in the data analysis module, the updating of the health management model is realized by processing, analyzing and judging the user physiological parameters and the user vital sign parameters acquired in real time, and the early warning is carried out on the abnormal condition of the data acquired in real time, so that the autonomous physical examination operation of personnel is ensured, the generation of the user health management concept is promoted, the occurrence risk of diseases is reduced, and the prediction efficiency of disease prevention is improved.
Of course, it is not necessary for any one product to practice the invention to achieve all of the advantages set forth above at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a block diagram of a health examination management terminal system according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
At present, many physical examination staff often lack intelligent autonomous education for on-site operation of a physical examination management system with an intelligent information system, so that many potential chronic patients lack the concept of intelligent physical examination, and lack autonomous physical examination prediction and active disease prevention processes for the physical health condition of the patients;
In addition, for patients after treatment in hospitals, the lack of equipment for health management of the body of rehabilitation patients results in that patients cannot detect vital sign information of the patients anytime and anywhere, and also lack of sufficient post-operation rehabilitation and development of health management life concepts.
In order to solve the technical problems, the autonomous physical examination operation of personnel is realized, the generation of the user health management concept is promoted, the occurrence risk of diseases is reduced, and the prediction efficiency of disease prevention is improved; specifically, referring to fig. 1, the present invention is a health examination management terminal system, including: setting portable mobile terminal equipment to realize that personnel can conveniently wear and carry the terminal equipment independently, wherein the portable mobile terminal equipment comprises a user mode setting module and a vital sign monitoring module; the user mode setting module is used for acquiring physiological parameters of a user and generating different user modes and user health management data; the user mode includes: the weight losing, weight increasing and health preserving modes are three user modes, and the preliminary setting in the embodiment is not limited to the current three user modes, and can be specifically set according to the physical state of a specific user, so that the actual physical examination health management requirement is met; the system comprises a vital sign monitoring module, a machine learning and screening setting parameter, a medical system control center and a medical system control center, wherein the vital sign monitoring module is used for collecting vital sign parameters of a user in real time and generating vital sign parameter data, the vital sign parameters of the user comprise data such as heart rate of the user and vital sign reference data such as blood pressure, blood oxygen, blood sugar and blood fat, and the specific parameter value is selected according to the condition of mass data of physical examination of the patient and treatment of the patient.
The embodiment is provided with a data management module, so that a machine training is carried out by inputting historical user health management data and historical user vital sign parameter data to obtain a sample, and the sample is input into a model built by a convolutional neural network to generate a health management model; the historical user health management data and the historical user vital sign parameter data are obtained according to the collected medical data reported by the current medical institution big data system, and a sufficient comparison condition is provided for the vital sign parameters of the current real-time collection personnel.
By setting the data analysis module, firstly, the user health management data and the vital sign parameter data are received, whether abnormal conditions occur in the user health management is judged according to the user health management data, and a first early warning signal is generated; secondly, the user health management data in the accumulation period and the vital sign parameter data acquired in real time are used for judging that the user body state in the user health management state generates a second early warning signal and updates the health management model, because the initial state which is constructed as the health management model is acquired according to the historical data type, the further improvement and perfection of the current model can be realized along with the increase of the real-time personnel body state data acquired by the equipment carried by the detection personnel through various sensors and collectors, the output model parameters are closer to the health management standard set by the body state of the actual personnel, the autonomous and personalized health management requirements are met, and for chronic patients with past medical history, the problem of insufficient information of chronic patients in the diagnosis and treatment process of institutions such as hospitals can be solved in the practical application, the time of doctors and patients can be saved, and the cure success rate of the patients can be improved.
In this embodiment, the early warning module is configured to execute the first early warning signal and the second early warning signal, so that the abnormal condition of the health management state of the user is convenient to feed back in real time, thereby facilitating early detection and prevention of diseases of the user, and promoting the development of health management habits of the user.
As one embodiment of the present invention, a method for generating a first warning signal includes:
the user inputs physiological data information of the age, the height and the weight of the person to the client;
The server side invokes the historical physical examination information of the user to perform simulation training to acquire the health state of the user;
the user health status includes: healthy, sub-healthy, unhealthy;
the server side generates user health management data according to the received user physiological data information and the user health state;
and analyzing the risk state of the user health management data, and feeding back the current user mode to the client.
Through the technical scheme: in the embodiment, the technical discovery of the risk of acquiring the user health management data is ensured through the generation of the first early warning signal, so that the development of the user health life habit is facilitated; the specific operation process is as follows: firstly, a user inputs physiological data information of the age, the height and the weight of a person to a client; then, the server side invokes the historical physical examination information of the user to carry out simulation training to acquire the health state of the user; wherein, the user health status includes: healthy, sub-healthy, unhealthy; then, the server generates user health management data according to the received user physiological data information and the user health state; and finally, analyzing the risk state of the user health management data, and feeding back the current user mode to the client.
As one embodiment of the present invention, the risk analysis method of the user health management data is as follows:
collecting user accumulated sleep time and user accumulated activity time corresponding to current user health management data in real time, calculating average daily sleep time and average daily activity time, and judging:
If the average daily sleeping time and the average daily activity time both accord with the corresponding preset threshold range in the user mode, judging whether the user health management accords with the requirement or not; if not, generating a first early warning signal.
Through the technical scheme: the specific judging process for judging the risk of the user health management in the embodiment shows the intuitiveness between the data in the daily activity mode of the user and the user health management; specifically, the user accumulated sleep time and the user accumulated activity time corresponding to the current user health management data are collected in real time, the average daily sleep time and the average daily activity time are calculated, whether the requirements are met or not is judged, and if the average daily sleep time and the average daily activity time are met with the corresponding preset threshold range in the user mode, whether the user health management is met or not is judged; if not, generating a first early warning signal.
As one embodiment of the present invention, the user health management state includes an active state and a relatively stationary state.
Through the technical scheme: the analysis of the user health management state set in the embodiment is divided into an active state and a static state aiming at the active state of the user, and the user health management state is divided into the active state and the static state, so that the analysis and the sample training are carried out through the active state and the relative static state, and further the judgment of the user state can be carried out according to the action recognition and the physiological sign of the portable mobile terminal equipment. The relatively stationary state herein does not refer to only a lying state in which the user sleeps, but also includes a resting state in which the user is sitting, lying, leaning, etc. in a daily manner, so that the formula is clearly distinguished from an active state in which exercise is performed in health management.
As one embodiment of the present invention, the generating process of the second early warning signal includes:
Receiving vital sign parameter data of a user, analyzing the vital sign parameter data, and obtaining a vital sign quantity coefficient V it of the user;
Comparing the vital sign quantity coefficient V it of the user with a preset threshold interval [ V A,VB ]:
If V it<VA is detected, generating a second early warning signal;
If V B≥Vit≥VA, user state analysis is performed:
The process of user state analysis:
acquiring state information and corresponding time in a user accumulated health management period:
By the formula Acquiring a management state coefficient V st;
Wherein [ t x,ty ] is the accumulation period when the user is in an active state, and [ t i,tj ] is the accumulation period when the user is in a relatively static state; θ, γ are preset weight coefficients, and θ > γ >0;
Comparing the vital sign quantity coefficient V it with the management state coefficient V st:
If V it<Vst, a second early warning signal is generated.
Through the technical scheme: in the embodiment, a second early warning signal generation process is provided, the relationship between the health management of the user and the vital signs of the user can be reflected through the second early warning signal, the health condition of the patient is judged, the abnormal body of the patient can be found in time, medical treatment is carried out in advance, and the disease cure rate of the user is guaranteed; specifically, firstly, vital sign parameter data of a user is received, the vital sign parameter data is analyzed, and a vital sign quantity coefficient V it of the user is obtained; then, the vital sign quantity coefficient V it of the user is compared with a preset threshold interval [ V A,VB ]: if V it<VA is detected, generating a second early warning signal; if V B≥Vit≥VA, performing user state analysis, and further, acquiring state information and corresponding time in the user accumulated health management period by using the user state analysis process: by the formula Acquiring a management state coefficient V st; wherein [ t x,ty ] is the accumulation period when the user is in an active state, and [ t i,tj ] is the accumulation period when the user is in a relatively static state; θ, γ are preset weight coefficients, and θ > γ >0; comparing the vital sign quantity coefficient V it with the management state coefficient V st to realize self-adaptive judgment on the physical state of the user, wherein the standard management state coefficient is determined according to the preset standard user activity state duration and standard relative static duration; and if V it<Vst is judged, generating a second early warning signal.
The calculation formula of the management state coefficient is analyzed and judged according to the accumulated amount of the specific gravity of the daily activity state and the duration time of the relative static state of the user in the health management period, and the management state coefficient is larger as the relative static time is shorter and the management state coefficient is smaller as the relative static time is larger along with the longer activity time of the user, so that the accumulated activity state of the personnel can be reflected through the management state coefficient; the vital sign quantity coefficient V it of the user and the standard management state coefficient, here referred to as V st, are set selectively according to the history data, and their correspondence is not described in detail herein.
As one embodiment of the present invention, the process of acquiring the vital sign quantity coefficient V it:
the personnel vital sign parameters are obtained through a vital sign monitoring module: heart rate, blood oxygen, body temperature:
By the formula Calculating vital sign quantity coefficients V it in the first m health management periods, wherein mu i is a weight coefficient of personnel vital sign parameters in an i-type user mode; /(I)A person vital sign status value in class i user mode; n is the total number of health management periods;
the calculation formula of (2) is as follows:
Calculating the vital sign state value/>
Wherein R is a heart rate value, and R 0 is a heart rate standard value; o is the blood oxygen value, and O 0 is the blood oxygen standard value; w is a body temperature value, W 0 is a body temperature standard value; Δr is a preset heart rate deviation value; Δo is a preset body temperature deviation value; Δw is a preset blood oxygen bias value; t is the ambient temperature, H is the ambient humidity; alpha (T, H) is a heart rate environmental factor influence function; sigma (T, H) is a blood oxygen environment factor influence function; delta (T, H) is a function of the influence of environmental factors of body temperature.
The acquiring mode of the vital sign quantity coefficient V it set by the above technical scheme in this embodiment specifically includes: the method comprises the steps of acquiring personnel vital sign parameters through a vital sign monitoring module, and calculating vital sign quantity coefficients V it in the first m health management periods; specifically, by the formula Calculating vital sign quantity coefficients V it in the first m health management periods, and judging the change conditions of the physical health indexes of the user under various physiological indexes and corresponding environments through the periodical change of the vital sign quantity coefficients V it; /(I)For the personnel vital sign state value in the i-type user mode, and then for the personnel vital sign state value/>Further analysis was performed by the formula/>Calculating the vital sign state value/>Vital sign status value/>The change states of various physiological index parameters and standard index parameters in a personnel health management period can be reflected, alpha (T, H), sigma (T, H) and delta (T, H) are all adjusted according to surrounding environment factors, for example, physiological indexes and health management states in sunny days and rainy days can be adjusted, the change of human physiological indexes in different seasons in one year is different, the activity states of human bodies in the early, middle and late days are slightly different, and the change of human physiological indexes at different altitudes is also different; of course, the specific implementation process needs to be adjusted according to specific environmental factors, so as to further obtain the vital sign state value/>Corresponding adjustment can be performed to ensure that the accuracy of the data in different environmental conditions is improved.
As an embodiment of the present invention, the system further includes a health consultation module, where the health consultation module is configured to push a corresponding health diet information link according to the selected user mode, and adjust the real-time health management period according to the management state coefficient V st of the different users:
Acquiring a curve L of personnel management state coefficients V st of N health management period tasks along with the change of time t;
Establishing a curve L and a preset standard curve L 0 in the same coordinate system, acquiring a set { V st1,Vst2...Vstn } of points n of which the V st is higher than the standard curve L 0 in the curve L and a set { V st1′,Vst2′…Vstm' } of points m of which the V st is higher than the standard curve L 0 in the curve L, and judging:
if n is more than m, shortening the current health management period;
If n is less than m, prolonging the current health management period;
If n=m, subtracting the new difference set { Δv st1,ΔVst2...ΔVst(n-m) } obtained by the calculation of the set { V st1,Vst2...Vstn } minus the set { V st1′,Vst2′…Vstm' };
Summing the difference set { ΔV st1,ΔVst2...ΔVst(n-m) } over V sto＝ΔVst1+ΔVst2…+ΔVst(n-m) and comparing V sto to a preset threshold V thr:
If V sto∈Vthr is the same, the current health management period length is kept;
If V sto<Vthr is the same, the current health management period is prolonged;
if V sto>Vthr, the current health management period is shortened.
Through the technical scheme: the health consultation module is arranged in the embodiment to timely push the healthy diet information of the user, provide the health consultation module, ensure the consultation of the diet information for health management on common general diseases and the existence of prognosis conditions, ensure the continuous rehabilitation process and improve the physical rehabilitation probability of the user; meanwhile, the real-time health management cycle adjustment is carried out according to the management state coefficients V st of different users, the specific adjustment process carries out change analysis by judging the personnel management state coefficients V st of the users in a set number of continuous management cycles, carries out the advance change condition of the personnel management state coefficients V st along with the recording time by establishing the change condition of the personnel management state coefficients V st and compares the advance change condition with the preset change condition of the normal standard personnel management state coefficients V st, particularly carries out the judgment by establishing a curve, and carries out the adjustment according to the collection { V st1,Vst2...Vstn } of the point n of V st higher than the standard curve L 0 in the acquired curve L and the collection { V st1′,Vst2′...Vstm' } of the point m of V st higher than the standard curve L 0 in the curve L, and judging: if n is more than m, shortening the current health management period; if n is less than m, prolonging the current health management period; if n=m, subtracting the new difference set { Δv st1,ΔVst2...ΔVst(n-m) } obtained by the calculation of the set { V st1,Vst2...Vstn } minus the set { V st1′,Vst2′...Vstm' }; summing the difference set { ΔV st1,ΔVst2...ΔVst(n-m) } over V sto＝ΔVst1+ΔVst2...+ΔVst(n-m) and comparing V sto to a preset threshold V thr: if V sto∈Vthr is the same, the current health management period length is kept; if V sto<Vthr is the same, the current health management period is prolonged; if V sto>Vthr, the current health management period is shortened.
As an embodiment of the present invention, the portable mobile terminal device further includes;
and the data display module is used for displaying the output result of the health management model.
The foregoing is merely illustrative and explanatory of the principles of the invention, as various modifications and additions may be made to the specific embodiments described, or similar thereto, by those skilled in the art, without departing from the principles of the invention or beyond the scope of the appended claims.
Claims (8)
1. A health physical examination management terminal system, comprising:
The portable mobile terminal device comprises a user mode setting module and a vital sign monitoring module;
The user mode setting module is used for acquiring physiological parameters of a user and generating different user modes and user health management data; the user mode includes: weight losing, weight increasing and health preserving;
The vital sign monitoring module is used for collecting vital sign parameters of a user in real time and generating vital sign parameter data;
and a data management module: performing machine training by inputting historical user health management data and historical user vital sign parameter data to obtain a sample, and inputting the sample into a model built by a convolutional neural network to generate a health management model;
The data analysis module is used for receiving the user health management data and the vital sign parameter data, judging whether abnormal conditions occur in the user health management according to the user health management data and generating a first early warning signal;
the system comprises a user health management module, a user health management module and a health management module, wherein the user health management module is used for acquiring user health management data in an accumulation period and life characteristic parameter data acquired in real time;
and the early warning module is used for executing the first early warning signal and the second early warning signal.
2. The health examination management terminal system according to claim 1, wherein the first early warning signal generating method comprises:
the user inputs physiological data information of the age, the height and the weight of the person to the client;
The server side invokes the historical physical examination information of the user to perform simulation training to acquire the health state of the user;
the user health status includes: healthy, sub-healthy, unhealthy;
the server side generates user health management data according to the received user physiological data information and the user health state;
and analyzing the risk state of the user health management data, and feeding back the current user mode to the client.
3. The health examination management terminal system according to claim 2, wherein the risk analysis method of the user health management data is as follows:
collecting user accumulated sleep time and user accumulated activity time corresponding to current user health management data in real time, calculating average daily sleep time and average daily activity time, and judging:
If the average daily sleeping time and the average daily activity time both accord with the corresponding preset threshold range in the user mode, judging whether the user health management accords with the requirement or not; if not, generating a first early warning signal.
4. The health care management terminal system of claim 1, wherein said user health management states include an active state and a relatively stationary state.
5. The health examination management terminal system according to claim 1, wherein the generating process of the second early warning signal comprises:
Receiving vital sign parameter data of a user, analyzing the vital sign parameter data, and obtaining a vital sign quantity coefficient V it of the user;
Comparing the vital sign quantity coefficient V it of the user with a preset threshold interval [ V A,VB ]:
If V it＜VA is detected, generating a second early warning signal;
If V B≥Vit≥VA, user state analysis is performed:
The process of user state analysis:
acquiring state information and corresponding time in a user accumulated health management period:
By the formula Acquiring a management state coefficient V st;
Wherein [ t x,ty ] is the accumulation period when the user is in an active state, and [ t i,tj ] is the accumulation period when the user is in a relatively static state; θ and γ are preset weight coefficients, and θ > γ > 0;
Comparing the vital sign quantity coefficient V it with the management state coefficient V st:
If V it＜Vst, a second early warning signal is generated.
6. The health examination management terminal system according to claim 1, wherein the vital sign quantity coefficient V it is obtained by:
the personnel vital sign parameters are obtained through a vital sign monitoring module: heart rate, blood oxygen, body temperature:
By the formula Calculating vital sign quantity coefficients V it in the first m health management periods, wherein mu i is a weight coefficient of personnel vital sign parameters in an i-type user mode; /(I)A person vital sign status value in class i user mode; n is the total number of health management periods;
the said The calculation formula of (2) is as follows:
Calculating the state value of the vital sign of the person
Wherein R is a heart rate value, and R 0 is a heart rate standard value; o is the blood oxygen value, and O 0 is the blood oxygen standard value; w is a body temperature value, W 0 is a body temperature standard value; Δr is a preset heart rate deviation value; Δo is a preset body temperature deviation value; Δw is a preset blood oxygen bias value; t is the ambient temperature, H is the ambient humidity; alpha (T, H) is a heart rate environmental factor influence function; sigma (T, H) is a blood oxygen environment factor influence function; delta (T, H) is a function of the influence of environmental factors of body temperature.
7. The health examination management terminal system according to claim 5, further comprising a health consultation module, wherein the health consultation module is configured to push corresponding health diet information links according to the selected user mode, and adjust the real-time health management period according to the management state coefficient V st of different users:
Acquiring a curve L of personnel management state coefficients V st of N health management period tasks along with the change of time t;
Establishing a curve L and a preset standard curve L 0 in the same coordinate system, acquiring a set { V st1,Vst2...Vstn } of points n of which the V st is higher than the standard curve L 0 in the curve L and a set { V st1',Vst2'...Vstm' } of points m of which the V st is higher than the standard curve L 0 in the curve L, and judging:
if n is more than m, shortening the current health management period;
if n is less than m, prolonging the current health management period;
If n=m, subtracting the new difference set { Δv st1,ΔVst2...ΔVst(n-m) } obtained by the calculation of the set { V st1,Vst2...Vstn } minus the set { V st1',Vst2'...Vstm' };
Summing the difference set { ΔV st1,ΔVst2...ΔVst(n-m) } over V sto＝ΔVst1+ΔVst2...+ΔVst(n-m) and comparing V sto to a preset threshold V thr:
If V sto∈Vthr is the same, the current health management period length is kept;
If V sto＜Vthr is the same, the current health management period is prolonged;
If V sto＞Vthr, the current health management period is shortened.
8. The health examination management terminal system according to claim 1, wherein the portable mobile terminal device further comprises;
and the data display module is used for displaying the output result of the health management model.
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