CN110504034A - Healthy Lifestyle based on multivariate information fusion instructs system and method - Google Patents

Abstract

The present invention relates to the healthy Lifestyles based on multivariate information fusion to instruct system and method, system is instructed to include at least cloud processor, at least one terminal and cloud storage medium, the expected results of relative users assessed for health evaluating and/or treatment are provided from terminal to cloud processor, cloud processor to choose corresponding multiclass history based on the fused polynary user data of the user to instruct sample database and the first result and the second result can be generated based on fused polynary user data, selection of the cloud processor in response to user to the first result or the second result, filtering out multiclass history instructs the first first class history of one of sample database to instruct sample database, and according to the fused polynary user data of the user and with reference to the selection of the first result or the second result, it provides the terminal with and is filtered out First first class history instructs several optional initial guidance programs in sample database.

Description

Healthy Lifestyle based on multivariate information fusion instructs system and method

Technical field

The present invention relates to the systems that the health and fitness information according to user instructs the user how the life style of improvement user health And method more particularly to a kind of healthy Lifestyle based on multivariate information fusion instruct system and method.

Background technique

In recent years, disease relevant to life style is more and more.Disease relevant to life style, it is believed that it breaks out It is influenced with development by living habit, such as eating habit, exercise habit, rest, smokes and drink.It generally comprises such as cancer, sugar Urine disease, headstroke and coronary heart disease, and be not easy to treat after these seizures of disease relevant to life style.According to world health The disease of fabric study's report, one of trichotomy can be by prevention and health care to avoid the disease early stage of one third is sent out Existing available effective control, the disease of one third by effectively can be improved therapeutic effect jointly.Therefore, to life side The relevant disease of formula is tentatively prevented critically important.But in most cases, according to personal knowledge, we do not know specifically How to make the life better habit.Therefore, by purposefully changing user health behavior after expert such as doctor suitably instruct Scheme improves the healthy Lifestyle of user.Patient behavior in the prior art changes model, is tested using structural equation model Each adjusting factor such as dangerous criminal, outcome expectancy, action plan, preparedness plan, behavior embodiment, behavior change in card behavior model Become and intervening variable (motivation, will) and its relationship changed with healthy behavior, Lai Shixian user's living-pattern preservation.

For example, the Chinese patent literature of Publication No. CN1409844 discloses a kind of health guidance method and health guidance System.Health guidance method using family the following steps are included: apply, to user's transmission for storing Jie of the information about health Matter；Withdraw the medium stored about user health information；The information about user health of storage in the medium is extracted, by this Information input ill-condition analysis expert system；Ill-condition analysis expert system provides the instruction about user health；And it will be ill The instruction about user health that expert system provides is reported to user.But since the correlation that expert system provides refers to The related statement led in scheme is excessively ambiguous, may cause patient and is difficult to hold amount of exercise and run duration when moving, It is even lower for a long time to gradually decrease patient to the confidence and independence of exercise therapy.Simultaneously in patient feedback's motor symptoms Usually by subjective oral account mode to physician feedback motion conditions, doctor can only judge roughly the movement side of patient Case performance, it is difficult to continue to improve motion scheme to meet different patient's different times demands.

Have benefited from the fast development of mobile terminal technology under " internet+" background, mobile terminal becomes people's life Necessity has outstanding convenience and real-time, but also mobile terminal can monitor user's sign, movement, diet in real time Equal living habits can be used for example the personal wearable device detection user's such as motion bracelet, sport shoe-pad mobile phone, Sports spectacles Sign data, exercise data and dietary data, and these data are uploaded to cloud server or Telemedicine is put down Platform etc. calculates equipment, and carries out analysis assessment and generate individual mobile terminal or calculating that corresponding guidance program pushes to user Terminal realizes that the guidance of healthy Lifestyle avoids doctor to instruct and feed back using data to a certain extent Statement and the ambiguous problem of field feedback.

For example, the Chinese patent literature of Publication No. CN107169286A discloses a kind of health diet guidance method and is System, this method comprises: obtaining and storing the physical condition and living habit record of user；Judge whether to meet triggering health diet Instruct the condition of event；When judge meet triggering health diet instruct the condition of event when, by this user current time it Physical condition and living habit record in preceding preset time period are input in the mathematical model pre-established, utilize the mathematics Model calculates the health diet guidance program for this user, and the calculated health diet guidance program is sent to this User.

For example, the Chinese patent literature of Publication No. CN105205323A discloses a kind of being good for based on user's sign data Health diet guide system and method is applied in refrigerator, this method comprises: when the food weight in the food weighing pan in refrigerator When changing, the sign data and healthy diet of user are obtained from cloud health service platform by the communication unit in refrigerator Index；The type of food is identified by the food mark code that rfid device scans food weighing pan；According to the weight of food The nutrition information that user has eaten is determined with type；Believed according to the nutrition that the sign data of user and user have eaten Cease the current diet index for determining user；When the current diet index of user is more than healthy diet index, it is current to generate user Diet arrange in pairs or groups suggest.The invention can using the cloud health service platform of health service hospital obtain user sign data come The health status for determining user, according to the health status of user provide corresponding diet collocation information and diet Improving advice for Family reference.

For example, the Chinese patent literature of Publication No. CN109360628A discloses a kind of healthy meals based on artificial intelligence Nutrition guide method and system are eaten, passes through wireless transport module signal the system comprises multiple sub- ends of guidance and is connected to diet In management end, dietary management end is also electrically connected with diet nutritional formulation module and database, microprocessor are electrically connected with Power module, display module, operation module, storage module, dietary management unit, alarm unit, timer, data transmit-receive mould Block, data processing module, data identification module and data entry element, so as to send and receive corresponding data, Timer is also electrically connected with execution module, and dietary management unit is also electrically connected in execution module.The invention additionally provides A kind of health diet nutrition guide method based on artificial intelligence.The invention can realize every the crowd of different health status The individual instructions of day health diet nutrition help user to reach health objectives.

For example, the Chinese patent literature of Publication No. CN106709220A discloses a kind of detection of healthy diet with guidance is System, comprising: data acquisition device, data acquisition device include: for acquiring the first acquisition module of modified data information, being used for The first processing module handled modified data information and the first communication module for sending modified data information, first Acquisition module is electrically connected with first processing module, and first processing module is electrically connected with the first communication module；For receiving food number It is believed that breath is with user information and the terminal installation being processed and displayed and for receiving modified data information and user information simultaneously The cloud device of classification storage, statistical analysis and feedback, the first communication module and terminal installation or cloud device are carried out to it Wired or wireless communication connection, terminal installation and the wired or wireless communication connection of cloud device, healthy diet detection and guidance System, which is realized, carries out health detection to diet, carries out healthy diet guidance to people.

For example, the Chinese patent literature of Publication No. CN109785952A discloses a kind of intelligent constitution scale and its management system System and matching process and health guidance system and health guidance method based on intelligent constitution scale, wherein the matching process packet It includes step: (a) obtaining the content about an intelligent constitution scale；(b) side by analysis about the content of the intelligent constitution scale Formula determines the type of the intelligent constitution scale；(c) matching strategy is generated according to the type of the intelligent constitution scale；And (d) The matching strategy is executed, so that the management system is automatically matched with the intelligent constitution scale.

For example, the Chinese patent literature of Publication No. CN105976288A, which discloses a kind of student movement, instructs system, wrap Include registration/login module；Motion recording module, according to the moving target of User setting and the daily physical exertion of input Situation calculates the amount of exercise of student, judges to move situation up to standard and feeds back to User；Evaluation of physical fitness and health module, to student's body Matter index scored, is evaluated and the diagnosis of index superiority and inferiority situation, and the evaluation of physical fitness and health report of different editions is generated；Exercise guidance scheme Module reports middle finger target superiority and inferiority situation situation according to the health account and evaluation of physical fitness and health of student, from exercise guidance scheme Exercise guidance scheme is targetedly selected in database, is shown at the terminal in the form of text, video or picture.

But the basic step of healthy living guidance method disclosed in above patent document is all detection-health evaluating-life At guidance program, lack tracking and assess relevant module, causes many links of guidance method disclosed in above patent document logical Be often mutually to isolate or incomplete, do not form the complete circulatory system, reduce the efficiency of system, increase operation at This and resource consumption, the Pu Hui for seriously constraining health service are promoted.

For example, the Chinese patent literature of Publication No. CN107526931A discloses a kind of health based on the personalized factor The method of assessment establishes regular factor library according to standard literature guide information；Bring the personal information of user into regular factor Library obtains the A class assessment result of user, carries out dynamic monitoring to user according to the variable information in user's A class assessment result, obtains To the B class assessment result of user；According to the personal information of user and medical advice information, level-one logical table is established, A class is commented Estimate result and B class assessment result is brought into level-one logical table, the C class for obtaining user instructs result；Referring to medical advice information, build Vertical two-level logic table, instructs result to bring two-level logic table into C class, obtains the synthesis guidance system of user；According to the comprehensive of user Guidance system and the dynamical feedback information of user are closed, the health guidance report of user is obtained.Through the invention, it solves existing strong Existing personalized low, the problem of real-time difference of health assessment.

For example, the Chinese patent literature of Publication No. CN104091080B disclose a kind of intelligent exercise guide system and Its closed loop guidance method, it is characterized in that composition include: by questionnaire unit, moving target reasoning element, motion scheme generation unit, The remote service platform of body-building administrative unit composition, healthy sign test module, locomitivity test module, intelligent fitness equipment Tool module；Questionnaire unit is for collecting user basic information and health and fitness information；Healthy sign test module is at the beginning of acquiring user The test index data for the healthy sign that begins；Locomitivity test module is used to acquire the test index number of user's initial motion ability According to；Moving target reasoning element is for obtaining user movement target；Motion scheme generation unit is for generating motion scheme；Intelligence Change health and fitness facilities module for executing motion scheme；Body-building administrative unit is for the assessment of movement effects and the tune of motion scheme It is whole.The invention by detection, assessment, body-building, feedback a whole set of software and hardware system, be based on user health detect on the basis of, Realize the demand of body-building by scientific methods.

Guidance method disclosed in above-mentioned two patent document and system, using closed loop " detection-assessment-guidance-is anti- Relevant module is assessed in the step process that can be recycled of feedback ", setting tracking, avoid the links of system mutually isolate or Incomplete, to form the complete circulatory system, increases the efficiency of system, avoid operating cost and resource consumption.But it uses Family detection or user the user's sign data, exercise data and the dietary data that upload not only always through detection, assessment, It instructs and feeds back in each step, and user's sign data, exercise data and dietary data are mutually correlated with each other, example If the different physiological status of user may will affect the athletic performance and diet appetite of user, i.e. user's sign data may shadow The exercise data and dietary data of user are rung, and the motion state of user also will affect the physiological characteristic and diet appetite of user, That is the exercise data of the user sign data and dietary data that are able to reflect user to a certain extent, similarly, the diet number of user According to the reflection for being user's sign data and exercise data, therefore user's sign data, exercise data and dietary data form The entirety for the circulation that intersects can be complementary to one another confirmation.And the document of above-mentioned patent disclosure detection, assessment, guidance and In the links such as feedback, the polynary fusion of user's sign data, exercise data and dietary data, and its sign are not accounted for Data, exercise data and dietary data are the individual for isolating, isolating, and can not be reduced by the multivariate data of cross-circulation The interference of data bring and uncertainty of wearable device and the detection of other mobile terminals, can not sketch the contours the body of user comprehensively Information may make that system is instructed to do the guidance to make mistake, cause to instruct ineffective systems, while can not also carry out data Source carry out reliability detection so that instruct system it is with a low credibility under.In addition, above patent document is in sign data, movement number Accordingly and the polynary user data such as dietary data carries out mechanical fusion by sorting, there is no in view of multivariate data each other It is the entirety for being complementary to one another confirmation, in some cases, the sequence lower data of rank may play a decisive role, it is therefore desirable to Synthesis dynamically merges multivariate data.

In addition, on the one hand since the understanding to those skilled in the art has differences；On the other hand since inventor makes Lot of documents and patent are had studied when of the invention, but length limits and do not enumerate all details and content in detail, however this is absolutely Non-present invention does not have the feature of these prior arts, and present invention has been provided with all features of the prior art, Er Qieshen Ask someone to retain the right for increasing related art in the background technology.

Summary of the invention

The present invention provides, for the existing health guidance system using closed loop " detection-assessment-guidance-feedback " and Method does not account for the polynary fusion of user's sign data, exercise data and dietary data, leads to not follow by intersecting The multivariate data of ring reduces the data bring interference of wearable device and the detection of other mobile terminals and uncertain, thus So that instructing ineffective systems, while can not also reliability detection be carried out to the source of data, cause to instruct the credible of system Low problem is spent, the present invention is by form closing to being mutually authenticated for user's sign data, exercise data and dietary data Formula is complementary to one another the syncretizing mechanism of confirmation, can not only improve the efficiency for instructing system to generate guidance program, additionally it is possible in correlation Knowledge based library supplement user's sign information, motion information and diet information in the insufficient situation of user data, and reduce terminal The uncertainty and interference of detection data guarantee the accuracy and reliability of user health assessment.Moreover, the present invention is by melting The polynary user data closed generates corresponding outcome expectancy and combines, thus identify and determine user's health problem urgently to be resolved, And fully considered the health status, locomitivity and diet style of user's individual, generate the first health for agreeing with individual subscriber Life Guidance scheme, and comprehensively considered the rule movement of user and healthy diet is intended to, ambient enviroment is to the support feelings of movement Condition provides personalized guidance program.In addition, being additionally provided more to improve the effect of user health lifestyle modification Second healthy living guidance program of expected results easy to accomplish, allows users to timely and effectively obtain positive feedback knot Fruit can be improved the experience effect of user, improves curative effect perception, so as to avoid the resentment of user, enables a user to Enough permanent living habits of keeping fit.

Healthy Lifestyle based on multivariate information fusion instructs system, includes at least cloud processor, at least one end End and cloud storage medium.The cloud processor is configured to the user for uploading user and medical staff by the terminal Data are stored in the cloud storage medium.The cloud processor is strong based on including at least in the cloud storage medium The history of health assessment expected results and treatment assessment expected results instructs sample database to filter out for pushing to the first of the terminal Beginning guidance program.It is pre- that assessing for health evaluating and/or treatment for relative users is provided from terminal to the cloud processor Phase is as a result, enable the cloud processor to choose corresponding multiclass based on the fused polynary user data of the user History instructs sample database and can generate first for health evaluating based on the fused polynary user data of the user As a result and for treating the second result assessed.Described first the result is that be presented in the terminal in the first way, and described second As a result the second method for being different from the first method is presented in the terminal.The cloud processor is in response to user couple The selection of first result or the second result filters out the first first class history that the multiclass history instructs one of sample database It instructs sample database according to the fused polynary user data of the user and refers to the selection of first result or the second result, The the described first first class history filtered out to terminal offer instructs several optional initial guidance sides in sample database Case.

It is described to instruct system configuration for as follows to the polynary user data according to a preferred embodiment It is merged:

The cloud processor at least can be associated with the cloud based on user's sign information of the polynary user data The history for including at least health evaluating expected results and treating assessment expected results in storage medium instructs sample database to give birth to respectively At the expected diet information b of the first desired movement information a and first；

Motion information of the cloud processor based on the first desired movement information a and the polynary user data The difference degree assessment of the diet information of difference degree and the first expected diet information b and the polynary user data is simultaneously Correct user's sign information, motion information and diet information.

According to a preferred embodiment, in the difference degree of the first desired movement information a and the motion information More than the first movement differential value and the difference degree of the first expected diet information b and the diet information is less than the first drink In the case where eating difference value, the cloud processor is based on the motion information association history and sample database is instructed to generate respectively The expected diet information b of first prospective users sign information a and second.The cloud processor is based on the diet information and is associated with institute Stating history instructs sample database to generate the second prospective users sign information a and the second desired movement information b respectively.The cloud processing Difference degree of the device based on the first prospective users sign information a and the second prospective users sign information a, described second The difference degree and the second expected diet information b and the diet information of desired movement information b and the motion information Difference degree assess user's sign information, motion information and diet information.

According to a preferred embodiment, in the difference degree of the first desired movement information a and the motion information More than the first movement differential value and the difference degree of the first expected diet information b and the diet information is more than the first diet In the case where difference value, the cloud processor is based on the first prospective users sign information a, the second prospective users sign is believed It ceases a and corrects user's sign information.

It is described to instruct system configuration to carry out health evaluating to user as follows according to a preferred embodiment And/or treatment assessment: the cloud manager is based on fused polynary user data and is associated with the knowledge base to user health Risk, locomitivity and diet are assessed, to generate outcome expectancy set, kinematic parameter and diet parameter respectively. The outcome expectancy set is included at least according to risk class the first result of sequence and according to the complexity for completing expected results Second result of sequence.

According to a preferred embodiment, in several optional initial guidance sides that user selects the terminal to present In the case that one of case carries out healthy living guidance and feeds back health guidance effect to the cloud processor, the cloud processing Device provides the difference being stored in the cloud storage medium to the terminal based on the information that user is fed back by the terminal Several optional first guidance programs of several optional initial guidance programs in sample database are instructed in such history.In user It instructs several optional first guidance programs in sample database to carry out healthy living according to such history that the terminal is presented to refer to In the case where leading and being fed back to the cloud processor still without achieving the desired results by the terminal, the cloud processor Response is different from the user selection to first result or the second result for the first time, filters out first different from described first Class history instructs the multiclass history of sample database to instruct one of sample database.According to the fused polynary user data of the user And it is different from the user selection to the first result or the second result for the first time with reference to described, the offer of Xiang Suoshu terminal is filtered out Such history instruct several optional second guidance programs in sample database.

According to a preferred embodiment, several initial guidance programs include at least the first initial guidance program and Second initial guidance program.The cloud processor is based on highest first outcome expectancy of risk rating in first result It generates the first first class history and instructs sample database, and assess the kinematic parameter of user, diet parameter, the surrounding enviroment of user And motion intention instructs sample database to carry out screening the first initial guidance program of generation the described first first class history.The cloud End processor is generated based on the second outcome expectancy that the complexity for reaching expected results in second result is graded minimum Second first class history instructs sample database, and assess the kinematic parameter of user, diet parameter, the surrounding enviroment of user and Motion intention instructs sample database to carry out screening the described second first class history and generates the first initial guidance program.

According to a preferred embodiment, it is movable that the initial guidance program progress related guidance is based in the user In the case of, user data, the initial guidance program when cloud manager carries out related guidance activity based on user The self-feedback of execution state and user correct the initial guidance program.If the cloud processor is according to the user's It does modified initial guidance program and analyzes its terminal for instructing trend and tendency information being pushed to the specific user.By the terminal Determine that at least three instruct path based on the variation tendency of its modified initial guidance program, wherein one is instructed path at least Including instructing rank for motion information, wherein another is instructed path to include at least and instructs rank for diet information, Wherein third instructs path to include at least the variation tendency according to similar users and that formulates instructs rank for sign information. The same section that the similar users are at least in the first result of health evaluating or the second result for the treatment of assessment is more than the One threshold value.

Healthy Lifestyle guidance method based on multivariate information fusion, the guidance method include at least: cloud processing Device is configured to for user and medical staff being stored in the storage medium of cloud by the user data that terminal uploads, and based on described The history for including at least health evaluating expected results and treating assessment expected results in the storage medium of cloud instructs sample database to sieve Select the initial guidance program for pushing to the terminal.From terminal to cloud processor offer relative users for health The expected results of assessment and/or treatment assessment, enable the cloud processor based on the fused polynary use of the user User data come choose corresponding multiclass history instruct sample database and can the fused polynary user data based on the user come It generates for the first result of health evaluating and for treating the second result assessed.Described first the result is that be in the first way Now in the terminal, the second method that second result is different from the first method is presented in the terminal.It is described Selection of the cloud processor in response to user to first result or the second result filters out the multiclass history and instructs sample The first class history of the first of one of library instructs sample database.According to the fused polynary user data of the user and with reference to described the The selection of one result or the second result, Xiang Suoshu terminal provide the described first first class history filtered out and instruct in sample database Several optional initial guidance programs.

It is described to instruct system configuration for as follows to the polynary user data according to a preferred embodiment It is merged:

The cloud processor at least can be associated with the cloud based on user's sign information of the polynary user data The history for including at least health evaluating expected results and treating assessment expected results in storage medium instructs sample database to give birth to respectively At the expected diet information b of the first desired movement information a and first；

Motion information of the cloud processor based on the first desired movement information a and the polynary user data The difference degree assessment of the diet information of difference degree and the first expected diet information b and the polynary user data is simultaneously Correct user's sign information, motion information and diet information.

Advantageous effects of the invention include following one or more:

1, by the verifying intersected with each other to user's sign information, motion information and diet information, number of users can be examined According to reliability, uncertainty, avoid system using insecure data generate guidance program, ensure that system generate guidance side Case can precisely match the actual conditions of user；

2, it is investigated different from the prior art by the risk tolerances that questionnaire form carries out, the present invention passes through to user's sign The verifying intersected with each other of information, motion information and diet information avoids the deviation that user's subjective bias introduces in questionnaire form, It is assessed and is verified by user data completely, can more accurate, objectively reflect the practical health condition of user；

It 3, can be fast and effeciently by the verifying intersected with each other to user's sign information, motion information and diet information Confirm abnormal data, and user or doctor terminal are reminded for abnormal data, so as to remind user or doctor in time It is raw that body detection is re-started to user, avoid doctor from doing the diagnosis to make mistake to user, to avoid subsequent therapeutic scheme Mistake；

It 4, can be fast and effeciently by the verifying intersected with each other to user's sign information, motion information and diet information User data is realized and is corrected, redundancy detection is avoided, improves system effectiveness；

5, by the verifying intersected with each other to user's sign information, motion information and diet information, user's sign is realized The syncretizing mechanism of information, motion information and diet information closed circulation each other, formed imperfectly, the print each other that connects each other The entirety of card instructs the stability of system so as to improve the present invention, will not because of a certain data exception and cause to generate Guidance program accuracy reduce, but also can pass through the cross validation of circulation, constantly improve data accuracy；This Outside, additionally it is possible to the response time of system is improved, to improve the efficiency that system generates guidance program.

Detailed description of the invention

Fig. 1 is the module connection diagram of one preferred embodiment of system of the invention；With

Fig. 2 is the flow diagram of a preferred embodiment of method of the invention.

Reference signs list

1: cloud processor 2: terminal

3: cloud storage medium 4: history instructs sample database

5: initial guidance program 6: user's sign information

7: motion information 8: diet information

9: knowledge base 10: outcome expectancy set

6a: the first desired movement information 6b: the first is expected diet information

7a: the first prospective users sign information 7b: the second is expected diet information

8a: the second prospective users sign information the 8b: the second desired movement information

41: the first first class history instruct the first class history of sample database 42: the second to instruct sample database

51: the first initial guidance programs of initial guidance program 52: the second

101: the first result, 102: the second result

Specific embodiment

With reference to the accompanying drawing 1 and attached drawing 2 be described in detail.

Embodiment 1

The present embodiment also discloses a kind of health guidance system, is also possible to a kind of healthy living and instructs system, can also be with That a kind of healthy living based on multivariate information fusion instructs system, the system can by system of the invention and/or other can The components of substitution are realized.For example, realizing system disclosed by the invention by using each components in system of the invention. In the case where not causing conflict or contradictory situation, the entirety and/or partial content of the preferred embodiment of other embodiments can be with Supplement as the present embodiment.

Healthy Lifestyle based on multivariate information fusion instructs system, include at least cloud processor 1, terminal 2 and Cloud storage medium 3.Preferably, cloud processor 1 can be processor chips, such as FPGA, CPU etc. is also possible to ARM frame The processor of structure, such as ThunderX2 chip, Cortex-A76 chip, are also possible to cloud intelligent chip, such as model The cloud intelligent chip of MLU100.Preferably, cloud storage medium 3 can be random access memory (RAM), memory, read-only storage Device (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology neck Any other form of storage medium well known in domain.Preferably, at least one terminal 2 can be 2, three ends of two terminals Even more terminals 2 of end 2.Terminal 2 can be mobile phone, tablet computer etc. and calculate equipment.Terminal 2 is also possible to intelligent wearing Equipment can measure the intelligent terminals such as heart rate, pulse, blood pressure, acceleration, step counting, sleep, the blood oxygen of human body, for example, intelligent hand Ring, Intelligent insole, smartwatch etc..Preferably, terminal 2 can be the calculating equipment of user's upload user information data.Terminal 2 It is also possible to hospital doctor and utilizes hospital terminal upload user case history, the calculating equipment of detection information.Preferably, user data package Include sign information 6, user movement information 7 and user's diet information 8.User's sign data 6 includes at least medical insurance number, surname Name, gender, age, height, weight, temperature pulse respiration, blood pressure, blood glucose and training sign information etc..User's body reference Breath further includes order data, medical record data, inspection data, information gathering data and follow up data.Order data includes at least Oral medicine, infusing medicine, treatment class doctor's advice and nursing class doctor's advice etc..Medical record data includes at least main suit, present illness history, previously disease History, personal history, family history, logical section's body is looked into, training body is looked into, diagnosed, progress note and operation relevant information etc..Inspection data is extremely It less include analysis report list, picture report etc..Information gathering data includes at least the report etc. of CT, MRI, X-ray etc..It is preferred that Ground, user's sign information further include metabolic system, skeletal musculature, the circulatory system, respiratory system, Nutrition and Metabolism system machine It can be with the important indicator of state.Preferably, it can learn whether user can carry out relative motion by the sign data of user, Whether there is relative motion taboo.For example, cardio-cerebral vascular disease patient is not suitable for carrying out strenuous exercise, it is therefore desirable to generate sports safety The higher movement of coefficient, the similar aerobic exercises such as jog, be careful, swimming, riding.For example, for the user group of bone joint pain Body can choose swimming instruction and carry out healthy Lifestyle guidance, can alleviate bone by the buoyancy of water during on the one hand swimming The pressure in joint and muscle group, on the other hand can also stimulation by water to human body blood vessel, promote the vascular function of human body.Example Such as, hypertensive patient can use strength building, such as push-up, dumbbell or barbell.Strength building can strengthen individual Muscle strength, bone strength, and the regular work against resistance down to middle intensity is capable of the reduction of delaying human body fat free body weight, And generate the effect preferably to reduce blood pressure.

Preferably, motion information 7 includes at least movement preference, the motion intention of user, user when further including exercise test Athletic performance, such as heart rate, conscious degree of fatigue, maximal oxygen uptake, metabolic equivalent, maximum repeat strength, movement power, close Save the information such as angle.Preferably, motion information further includes cardiorespiratory Endurance information, muscular endurance information.Preferably, pass through user's Motion information, and combine the sign information of user and diet information that can obtain the exercise guidance side for being suitble to user's body state Case.Diet information 8 includes at least the information such as eating habit, preferred diet of user, further includes that daily dietetic variety, diet are taken the photograph Take the information such as heat.Preferably, diet information 8 further includes the sodium salt of user's intake and the content of edible oil, while also analysis is used The calorie of each diet intake in family.

Preferably, the drink of formulation user that can be personalized by the sign information of user, motion information and diet information Food scheme.Of the invention instructs system that can also record the adeditive attribute data that user, nurse and doctor upload.Adeditive attribute Data include at least hobby and the individual propensities of user.Individual propensities include at least the idiosyncrasy of doctor's assessment, psychological base The data such as plinth assessment, healthy behavior preference evaluation, nurse or doctor's follow-up assessment.

Preferably, cloud processor 1 is configured to user and doctor being stored in cloud by the user data that terminal 2 uploads In storage medium 3.Cloud processor 1 instructs the generation of sample database 4 to push to terminal 2 in response to the history in cloud storage medium 3 Initial guidance program 5.Preferably, history is provided in cloud storage medium 3 to instruct sample database 4 and large sample is mainly provided The storage of health data is analyzed, and the storage for completing member user's items sign information is called, as healthy Lifestyle guidance side The main foundation that case generates.On this basis, relevant for public rudimentary knowledge, preventive treatment knowledge and the life style for providing disease The education of knowledge, guidance is public to carry out self-monitoring and self-management in daily life, to prevent, control and delay disease Occurrence and development.Preferably, history instructs sample database 4 to converge the finger for all previous generation healthy Lifestyle of each user The key data source led and sample database include at least movement resource, sports events library, food resources and Eating items etc., also Recruitment evaluation including the guidance of all previous healthy Lifestyle.History guidance program library 4 is to generate healthy Lifestyle guidance program Important foundation information source.

Preferably, cloud processor 1 based in cloud storage medium 3 include at least health evaluating expected results and treatment The history of assessment expected results instructs sample database 4 to filter out the initial guidance program 5 for pushing to terminal 2.Preferably, by end End 2 provides the expected results of relative users assessed for health evaluating and/or treatment to cloud processor 1, so that at cloud Reason device 1 can be chosen corresponding multiclass history based on the fused polynary user data of the user and instruct sample database 4 and energy Enough fused polynary user data based on the user are commented to generate for the first result 101 of health evaluating and for treating The second result 102 estimated.Preferably, cloud processor 1 is based on fused polynary user data and carries out health evaluating to obtain Corresponding history instructs sample database 4.Preferably, instructing system configuration is to carry out health evaluating to user as follows and control Treat assessment: cloud manager 1 is based on fused polynary user data association to user health risk, locomitivity and diet shape Condition is assessed, to generate outcome expectancy set 10, kinematic parameter and diet parameter respectively.Preferably, by after to fusion User data carry out health evaluating and can determine the health problem of user.Health problem include at least the disease suffered from of user with And related lifestyle bring healthy hidden danger.Preferably, can urgently be changed according to health problem determination and identification user's individual Kind health problem, and the corresponding expected results of health problem are generated with this.Since the health problem of user's individual is more, Corresponding expected results are outcome expectancy set.Preferably, outcome expectancy set is included at least according to corresponding health problem Risk class sequence, generates the first result.Preferably, the risk class of health problem is according to disease or the danger to health of symptom Severity is done harm to be ranked up.Outcome expectancy set further includes the second knot according to the complexity sequence for completing expected results Fruit.Mode through the above arrangement, user can be identified and be locked according to the first result user's health problem urgently to be resolved and Bring expected results can also determine the health problem that can be relatively easy to and quickly solve at present by the second result.It is excellent Selection of land, cloud processor 1 are joined by the kinematic parameter and diet for assess to fused user data available user Number.Preferably, kinematic parameter is calculated including at least heart rate.Heart rate measuring and calculating can be detected according to the wearable device of user. Intensity of the human body when carrying out physical exertion can be embodied directly in changes in heart rate, can be counted using reserve heart rate method It calculates.Preferably, kinematic parameter further includes conscious degree of fatigue scale, suitable for the use that the quantitative intensities such as heart rate can not be used to detect Family.Preferably, kinematic parameter further includes the measurement of maximal oxygen uptake.Maximal oxygen uptake can effectively measure individual and be moved through Exercise intensity in journey.Preferably, kinematic parameter further includes metabolic equivalent measuring and calculating.Metabolic equivalent passes through under measuring and calculating quiescent condition It is metabolized energy consumption, relative energy metaboilic level of the user when launching a campaign can be assessed, and then reflect physical exertion intensity.It is excellent Selection of land, diet parameter include the eating habit of patient.When diet parameter further includes the dietetic variety of the user of every day entry, diet Between, dietary intake.

Preferably, the first result 101 is to be presented in terminal 2 in the first way, and the second result 102 is different from first party The second method of formula is presented in terminal 2.Preferably, first method can be with the push of the information such as picture, video, text.Second Mode can be the modes such as sound, vibration and be reminded, and be pushed by terminal 2.Cloud processor 1 is in response to user to first As a result 101 or second result 102 selection, filter out the first first class history guidance that multiclass history instructs one of sample database 4 Sample database 41.According to the fused polynary user data of the user and with reference to the choosing of the first result 101 or the second result 102 It selects, the first first class history filtered out to the offer of terminal 2 instructs several optional initial guidance programs in sample database 41 5.By the set-up mode, the accuracy and objectivity of data fusion bring data are not only combined, makes user more objective The physical condition of itself is seen and got information about, chance interactively with each other is also provided for user, client itself is allowed actively to select Corresponding assessment result generates personalized guidance program.

Preferably, cloud processor 2 is configured to including at least user's sign information 6, motion information 7 and diet The polynary user data of information 8 is merged to reduce the interference and uncertainty that terminal 2 uploads data.Preferably, cloud Processor 1 can at least be associated with the first desired movement information of generation respectively in cloud storage medium 3 based on user's sign information 6 The expected diet information 6b of 6a and first.Preferably, the sign information 6 of user can also react the movement letter of user to a certain extent Breath and diet information.For example, the sign information 6 of user includes at least the hypertension for belonging to the circulatory system, then the first expected fortune Dynamic information 6a indicate user can not long-term high-intensity exercise, and the first expected diet information 6b include the eating habit of user not Including long-term less salt, low oil.For example, the nonalcoholic fatty liver and type-II diabetes of 6 metabolic system of sign information of user, that First desired movement information 6a indicates the long-term sitting of user, and amount of exercise is few, and the cardiopulmonary ability of user is weaker.First expected diet Information 6b is that the eating habit of user is unlikely to be less salt, low sugar.Such as user's sign information 6 is the anxiety of neuropsychiatric And depression, then the first desired movement information 6a of user indicates do not have the long-term habit for keeping aerobic exercise and movement meaning Figure.First expected diet information 6b indicates user it is not possible that long-term appetite is good.For example, user's sign information 6 belongs to bone system System due to arthritis sitting quietly caused by and the cervical spondylosis of bending over the desk for a long time, then the first desired movement information 6a indicates that user is impossible Movement of big load, such as gymnastics, boxing, basketball etc. are carried out, and there can not be good athletic performance.First expected drink Eating information 6b indicates that user does not have the acidic foods such as long-term intake chicken and duck flesh of fish and the phenylalanine tryptophan containing tyrosine Food.

Preferably, difference degree and first of the cloud processor 1 based on the first desired movement information 6a Yu motion information 7 It is expected that user's sign information 6, motion information 7 and diet are assessed and corrected to the difference degree of diet information 6b and diet information 8 Information 8.Preferably, the first movement differential value indicates that the difference degree of the first desired movement information 6a and motion information 7 is more than extremely It is entirely different more than two less.For example, the arthritis that user suffers from hypertension and suffers from, then the first desired movement information 6a table Show that user does not have long-term aerobic exercise habit and high load capacity exercise habit.If the motion information 7 of user indicates user Resting heart rate be in 60 under/every point hereinafter, have play basketball for a long time, boxing habit, and neck bone muscle strength well, Conscious degree of fatigue be in painstaking grade, then wherein resting heart rate under 60/every point play basketball, box for a long time hereinafter, having The user that exercise habit is then indicated with the first desired movement information 6a does not have long-term aerobic exercise habit and is not inconsistent completely, indicates First desired movement information 6a and the difference degree of motion information 7 are more than two, i.e., more than the first movement differential value.Preferably, First diet difference value indicate the difference degree of the first expected diet information 6b and diet information 8 be more than at least over two not Together.For example, the arthritis that user suffers from hypertension and suffers from, it is long-term low that the first expected diet information 6b indicates that user does not have Salt, low sugar, the eating habit of low intake.If diet information 8 indicates user's chronic dietary barbecue, emits dish, seafood, and drinks Food rule, dietary amount is small, amount of drinking water is big, then user's dietary, dietary amount are small to be expected diet information 6b completely not with first Symbol indicates that the difference degree of the first expected diet information 6b and diet information 8 is more than the first diet difference value.Preferably, The difference degree of one desired movement information 6a and motion information 7 be more than the first movement differential value and the first expected diet information 6b and In the case that the difference degree of diet information 8 is less than the first diet difference value, user's sign information 6 and the movement of user are indicated Information 7 is not inconsistent, and the sign information 6 of user is consistent with diet information 8.Preferably, the appearance of above situation indicates user data There is uncertain interference, needs the sign information 6 to user, motion information 7 and diet information 8 to carry out cross validation, and right Abnormal data are modified.Preferably, cloud processor 1 is based on the association of motion information 7 and generates the first prospective users body respectively Reference ceases the expected diet information 7b of 7a and second.Cloud processor 1 is based on the association of diet information 8 and generates the second prospective users respectively Sign information 8a and the second desired movement information 8b.Preferably, as shown in Figure 1, the mode of cross validation includes at least at cloud Reason device 1 is confirmed based on the difference degree of the first prospective users sign information 7a and the second prospective users sign information 8a.In When the differences of first prospective users sign information 7a and the second prospective users sign information 8a are more than two, motion information is indicated 7 do not coincide with each other with diet information 8, are not inconsistent in conjunction with user's sign information 6 and motion information 7, and the motion information 7 of user can be confirmed Occur abnormal.Cloud processor 1 sends data exception to the terminal 2 of user or doctor and reminds, and retests user movement letter Breath 7.After retesting user movement information 7, still confirm that the motion information 7 of user exception or user occurs and can not weigh When new test, then by the first desired movement information 6a and the second desired movement information 8b come the difference in correction motion information 7 Different item.Preferably, it is not inconsistent in user's sign information 6 and motion information 7, and the first prospective users sign information 7a and second is pre- In the case that the differences of phase user's sign information 8a are less than two, the second desired movement information 8b and motion information 7 are compared Whether difference degree is not inconsistent more than two.When the difference degree of the second desired movement information 8b and motion information 7 are more than two, Confirmation motion information 7 is not coincided with each other with diet information 8, is not inconsistent in conjunction with user's sign information 6 and motion information 7, use can be confirmed There is exception in the motion information 7 at family.Cloud processor 1 sends data exception to the terminal 2 of user or doctor and reminds, and surveys again Family motion information 7 on probation.After retesting user movement information 7, still confirm that exception occurs in the motion information 7 of user, or When being that user can not retest, then by the first desired movement information 6a and the second desired movement information 8b come correction motion Differences in information 7.It is not inconsistent in user's sign information 6 and motion information 7, and the first prospective users sign information 7a and The differences of two prospective users sign information 8a are less than two, while the difference of the second desired movement information 8b and motion information 7 In the case that item is less than two, the difference degree of the second expected diet information 7b and diet information 8 is compared whether more than two, such as The differences of the expected diet information 7b of fruit second and diet information 8 are more than two, then confirmation motion information 7 and diet information 8 It does not coincide with each other, is not inconsistent in conjunction with user's sign information 6 and motion information 7, can be confirmed that exception occurs in the motion information 7 of user.Cloud It holds processor 1 to send data exception to the terminal 2 of user or doctor to remind, and retests user movement information 7.Again it is surveying After family motion information 7 on probation, when still confirming that exception occurs in the motion information 7 of user or user can not retest, then By the first desired movement information 6a and the second desired movement information 8b come the differences in correction motion information 7.If second It is expected that the differences of diet information 7b and diet information 8 are less than two, then confirmation user's sign information 6, motion information 7 with And diet information 8 is without abnormal.Preferably, the is less than in the difference degree of the first desired movement information 6a and motion information 7 The case where difference degree of one movement differential value and the first expected diet information 6b and diet information 8 are more than the first diet difference value Under, indicate that the diet information 8 of user is not inconsistent with motion information 7, the sign information 6 of user is consistent with motion information 7.It is preferred that Ground, the appearance of above situation indicate that uncertain interference occurs in user data, can using the above-mentioned sign information 6 to user, Motion information 7 and diet information 8 carry out cross validation mode to confirm abnormal data and be modified.Preferably, pre- first Phase motion information 6a and the difference degree of motion information 7 are more than the first movement differential value and the first expected diet information 6b and diet In the case that the difference degree of information 8 is more than the first diet difference value, user's sign information 6 and motion information 7 and diet are indicated Information 8 is not inconsistent.Cloud processor 1 sends data exception to the terminal 2 of user or doctor and reminds, and retests user's body reference Breath 6.After retesting user's sign information 6, still confirm that the sign information 6 of user exception or user occurs and can not weigh When new test, then correcting user's body reference by the first prospective users sign information 7a, the second prospective users sign information 8a Breath.Preferably, the sensing data of any sensor all has certain uncertainty, therefore uncertain do occurs in user data It whether can be more than that the uncertainty of sensor is unreliable to determine according to corrupt data in the case where disturbing and being less than threshold value Whether insecure reason of data is that the uncertain of sensor introduces.If it is confirmed that uncertain introduce for sensor can To correct corrupt data.If corrupt data has been more than the range of indeterminacy of sensor, retain the unreliable number According to, and emphasis marks.By the set-up mode, the tolerance of system can be improved, avoid frequent warning reminding user, additionally it is possible to Track the emphasis labeled data of user, the reason of facilitating doctor's follow-up analysis emphasis labeled data to occur.

Mode through the above arrangement, beneficial effects of the present invention include at least:

1, by the verifying intersected with each other to user's sign information, motion information and diet information, number of users can be examined According to the reliability in source, insecure data are identified and locked, system is avoided to generate guidance program using insecure data, are protected The actual conditions of user can precisely be matched by having demonstrate,proved system generation guidance program；

2, according further to insecure data of identification and locking, pass through user's sign information, motion information and drink The fusion intersected with each other of information is eaten rapidly to confirm whether data are abnormal, in the case where corrupt data exceeds threshold value, is sentenced Surely can not data be abnormal data, and user or doctor terminal are reminded for abnormal data, so as to remind in time User or doctor to the data of user institute typing whether mistake, or user or doctor is reminded to re-measure, avoid doctor according to The abnormal data of mistake does the diagnosis to make mistake to user；

3, it is investigated different from the prior art by the risk tolerances that questionnaire form carries out, the present invention passes through to user's sign The fusion intersected with each other of information, motion information and diet information can not only avoid user's subjective bias in questionnaire form from introducing Deviation, assessed and verified by user data completely, can more accurate, objectively reflect the practical healthy feelings of user Condition；

It 4, can be fast and effeciently by the verifying intersected with each other to user's sign information, motion information and diet information User data is realized and is corrected, redundancy detection is avoided, improves system effectiveness；

5, by the verifying intersected with each other to user's sign information, motion information and diet information, user's sign is realized The syncretizing mechanism of information, motion information and diet information closed circulation each other, formed imperfectly, the print each other that connects each other The entirety of card instructs the stability of system so as to improve the present invention, will not because of a certain data exception and cause to generate Guidance program accuracy reduce, but also can pass through the cross validation of circulation, constantly improve data accuracy；This Outside, additionally it is possible to the response time of system is improved, to improve the efficiency that system generates guidance program.

Preferably, cloud manager 1 is based on the corresponding history of outcome expectancy set acquisition and instructs sample database 4.Preferably, cloud End processor 1 generates the first first class history based on highest first outcome expectancy of risk rating in the first result and instructs sample Library 41.Preferably, the first history instructs to include multiple guidance programs corresponding with expected results in sample 41.Cloud processor 1, which generates the second first class based on the second outcome expectancy that the complexity for reaching expected results in the second result is graded minimum, goes through History instructs sample database 42.Preferably, the first result 101 or the second result 102 can feed back to user in the form of score.It is preferred that Ground, cloud manager 1 is based on kinematic parameter, diet parameter, the surrounding enviroment of user and motion intention to instruct sample to history This library 4 carries out screening and generates several initial guidance programs 5.Preferably, the surrounding enviroment of user refer to being suitble to user's progress Sports events.For example, playground of the user in outdoor, then user is suitble to jog or hurry up.Such as surrounding enviroment where user have Swimming pool, then user can carry out swimming exercise.Preferably, the gymnasium of user indoors can carry out on a treadmill It runs or hurries up, strength building can also be carried out.Preferably, several initial guidance programs 5 include at least the first initial guidance side Case 51 and the second initial guidance program 52.Preferably, guide item includes at least sports events and drink in initial guidance program 5 Food project.Preferably, sports events further includes somatic sensation television game.Cloud processor 1 assess the kinematic parameter of user, diet parameter, The surrounding enviroment and motion intention of user instruct sample database 41 to carry out the initially finger of screening generation first first first class history Lead scheme 51.Kinematic parameter, diet parameter, the surrounding enviroment of user and the motion intention pair of the assessment user of cloud processor 1 Second first class history instructs sample database 42 to carry out screening and generates the first initial guidance program 52.By the set-up mode, generate Healthy living guidance program not only include to user's relevant guidance program of health problem urgently to be resolved at present, further include holding Be readily accomplished and can rapid feedback, improvement health problem guidance program, user can be allowed to obtain positive feedback in time, increase Add user to execute the enthusiasm of guidance program, avoids user from generating resentment, enable a user to keep existing for a long time Healthy Lifestyle.

Preferably, in the case where user is based on the initial guidance program 5 progress movable situation of related guidance, 1 base of cloud manager User data, the execution state of initial guidance program 5 and the self-feedback of user when user carries out related guidance activity Correct initial guidance program 5.Preferably, the implementation procedure of initial guidance program 5 is the process of a dynamic adjustment, crosses number of passes According to include user's regular health sign detect or check, the information such as self-feedback of the sensing data that terminal uploads and user, Dynamic influence will be generated on subsequent guidance program.For example, user feedback power is exhausted and is unable to complete, or think in guidance program Sports events execute it is excessively light, so that based on information above to adjust the movement in initial guidance program 5 strong for cloud processor 1 Degree.Preferably for persistently impossible moving target, kinematic parameter can be turned down in right amount, and investigates the schedule of user, Adjust initial guidance program 5.Preferably, after executing the initial guidance program 4 of completion, execution feelings of the cloud processor 1 to user Condition is assessed, and related unfinished guidance program and its reason are traced, and retain the guidance program of completion kinematic parameter and Diet parameter, the initial value as the next healthy living guidance program of user.Mode through the above arrangement, guidance of the invention System forms detection, health evaluating, the closed-loop system that guidance program generates, tracking is assessed, and improves the stability of system, and herein On the basis of, the polynary user data of user's sign information 6, motion information 7 and diet information is subjected to mixing together, and run through Detection, health evaluating, guidance program generates, tracking is assessed in each step, so as to link each in closed-loop system Reduce polynary user data bring interference and uncertain, and due to carried out in each link data cross fusion, It is mutually authenticated, therefore with the increase of circulation, it is more accurate that accumulative user data can be brought, so that instructing system more It is stable and efficient.

According to a preferred embodiment, in one of several optional initial guidance programs 5 that user selects terminal 2 to present In the case where carrying out healthy living guidance and feeding back health guidance effect to cloud processor 1, cloud processor 1 is logical based on user The information for crossing the feedback of terminal 2 provides such history that is different from being stored in cloud storage medium 3 to terminal 2 and instructs sample database 4 In several optional initial guidance programs 5 several optional first guidance programs.Presented according to terminal 2 in user such History instructs several optional first guidance programs 5 in sample database 4 to carry out healthy living guidances and by terminal 2 at cloud In the case where the feedback of device 1 is managed still without achieving the desired results, the response of cloud processor 1 is different from user for the first time to the first result 101 or second result 102 selection, filter out and instruct the multiclass history of sample database 41 to instruct sample different from the first first class history One of this library 4.According to the fused polynary user data of the user and with reference to be different from user for the first time to the first result 101 or The selection of second result 102, such history filtered out to the offer of terminal 2 instruct several optional second in sample database 4 Guidance program.Mode through the above arrangement can select such history to instruct sample in the case where fall flat Under other guidance programs instructed, if in the case where instructing effect that desired effect has not been reached yet, may be selected in it His class history instructs second under sample to instruct guidance program, can use for the guidance program under the selection for being not suitable for user The tactful Replacing Scheme of guiding avoids guidance program replacement span excessive, causes to instruct decreased effectiveness or generate on the contrary Technical effect.

According to a preferred embodiment, in the case where user is based on the initial guidance program 5 progress movable situation of related guidance, The execution state and use of user data, initial guidance program 5 when cloud manager 1 is based on user's progress related guidance activity The self-feedback at family corrects initial guidance program 5.Cloud processor 1 is divided according to several modified initial guidance programs 5 of user Analyse its terminal 2 for instructing trend and tendency information being pushed to the specific user.Its modified initial guidance is based on by the terminal 2 The variation tendency of scheme 5 determines that at least three instruct path, wherein one is instructed path to include at least for motion information Rank is instructed, wherein another is instructed path to include at least and instruct rank for diet information, wherein third instructs path extremely Less include the variation tendency according to similar users and that formulates instructs rank for sign information.Similar users are at least strong Same section in first result 101 of health assessment or the second result 102 for the treatment of assessment is more than first threshold.Preferably, One threshold value can be the diversity factor of the first result or the second result below 20%.Preferably, instructing rank includes the first guidance Rank and second instructs rank.First instructs rank to refer to that whole day whole process guidance user should do certain fortune in some time Dynamic or specified diet.When terminal 2 or cloud processor do not obtain meeting in the case that user acts according to guidance User is periodically reminded, until user completes the guide item.Preferably, second rank is instructed to refer to carrying out gently Microstage does not guide, i.e., only can just remind in certain nodes, to avoid excessively instructing in the process of movement, influence user movement Performance.

Embodiment 2

The present embodiment is healthy Lifestyle guidance method corresponding with embodiment 1, and duplicate content repeats no more.

Healthy Lifestyle guidance method based on multivariate information fusion, guidance method include at least:

The user data uploaded by least one terminal 2 is stored in cloud storage medium 3 by cloud processor 1, and is rung Sample database 4 should be instructed to generate in the history in cloud storage medium 3 and push to the initial guidance program 5 of terminal 2.Preferably, excellent Selection of land, cloud processor 1 can be processor chips, such as FPGA, CPU etc. is also possible to the processor of ARM framework, such as ThunderX2 chip, Cortex-A76 chip are also possible to cloud intelligent chip, such as the cloud intelligence of model MLU100 Chip.Preferably, cloud storage medium 3 can be random access memory (RAM), memory, read-only memory (ROM), electrically programmable It is any well known in ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field The storage medium of other forms.Preferably, at least one terminal 2 can be two terminals, 2, three terminals 2 even more Terminal 2.Terminal 2 can be mobile phone, tablet computer etc. and calculate equipment.Terminal 2 is also possible to intelligent wearable device, can measure people The intelligent terminals such as heart rate, pulse, blood pressure, acceleration, step counting, sleep, the blood oxygen of body, for example, Intelligent bracelet, Intelligent insole, intelligence Energy wrist-watch etc..Preferably, terminal 2 can be the calculating equipment of user's upload user information data.Terminal 2 is also possible to hospital doctor It makes profits with hospital terminal upload user case history, the calculating equipment of detection information.Preferably, user data includes sign information 6, uses Family motion information 7 and user's diet information 8.User's sign data 6 includes at least medical insurance number, name, gender, age, body Height, weight, temperature pulse respiration, blood pressure, blood glucose and training sign information etc..User's sign information further includes doctor's advice number According to, medical record data, inspection data, information gathering data and follow up data.Order data include at least oral medicine, infusing medicine, Treat class doctor's advice and nursing class doctor's advice etc..Medical record data includes at least main suit, present illness history, medical history, personal history, family History, logical section's body is looked into, training body is looked into, diagnosed, progress note and operation relevant information etc..Inspection data includes at least analysis report List, picture report etc..Information gathering data includes at least the report etc. of CT, MRI, X-ray etc..Preferably, user's body reference Breath further include metabolic system, skeletal musculature, the circulatory system, respiratory system, the function of Nutrition and Metabolism system and state weight Want index.Preferably, it can learn whether user can carry out relative motion by the sign data of user, if there is correlation Movement taboo.For example, cardio-cerebral vascular disease patient is not suitable for carrying out strenuous exercise, it is therefore desirable to generate the higher fortune of sports safety coefficient It is dynamic, the similar aerobic exercises such as jog, be careful, swimming, riding.For example, can choose trip for the user group of bone joint pain Swimming training carries out healthy Lifestyle guidance, can alleviate Bones and joints and muscle group by the buoyancy of water during on the one hand swimming Pressure, on the other hand can also stimulation by water to human body blood vessel, promote the vascular function of human body.For example, hypertensive patient Strength building, such as push-up, dumbbell or barbell can be used.Strength building can strengthen the muscle strength of individual, bone Strength, and the regular work against resistance down to middle intensity is capable of the reduction of delaying human body fat free body weight, and generates preferable The effect to reduce blood pressure.

Preferably, motion information 7 includes at least movement preference, the motion intention of user, user when further including exercise test Athletic performance, such as heart rate, conscious degree of fatigue, maximal oxygen uptake, metabolic equivalent, maximum repeat strength, movement power, close Save the information such as angle.Preferably, motion information further includes cardiorespiratory Endurance information, muscular endurance information.Preferably, pass through user's Motion information, and combine the sign information of user and diet information that can obtain the exercise guidance side for being suitble to user's body state Case.

Diet information 8 includes at least the information such as eating habit, preferred diet of user, further include daily dietetic variety, The information such as diet regimen heat.Preferably, system that can be personalized by the sign information of user, motion information and diet information Determine the diet program of user.Of the invention instructs system that can also record the adeditive attribute number that user, nurse and doctor upload According to.Adeditive attribute data include at least hobby and the individual propensities of user.Individual propensities include at least the individual of doctor's assessment The data such as speciality, psychological basis assessment, healthy behavior preference evaluation, nurse or doctor's follow-up assessment.

Preferably, cloud processor 1 is configured to user and doctor being stored in cloud by the user data that terminal 2 uploads In storage medium 3.Cloud processor 1 instructs the generation of sample database 4 to push to terminal 2 in response to the history in cloud storage medium 3 Initial guidance program 5.Preferably, history is provided in cloud storage medium 3 to instruct sample database 4 and large sample is mainly provided The storage of health data is analyzed, and the storage for completing member user's items sign information is called, as healthy Lifestyle guidance side The main foundation that case generates.On this basis, relevant for public rudimentary knowledge, preventive treatment knowledge and the life style for providing disease The education of knowledge, guidance is public to carry out self-monitoring and self-management in daily life, to prevent, control and delay disease Occurrence and development.Preferably, history instructs sample database 4 to converge the finger for all previous generation healthy Lifestyle of each user The key data source led and sample database include at least movement resource, sports events library, food resources and Eating items etc., also Recruitment evaluation including the guidance of all previous healthy Lifestyle.History guidance program library 4 is to generate healthy Lifestyle guidance program Important foundation information source.

Healthy Lifestyle guidance method based on multivariate information fusion, guidance method include at least: cloud processor 1 is matched It is set to and is stored in user and medical staff in cloud storage medium 3 by the user data that terminal 2 uploads, and deposited based on cloud The history for including at least health evaluating expected results and treating assessment expected results in storage media 3 instructs sample database 4 to filter out For pushing to the initial guidance program 5 of terminal 2.Health evaluating is used for from terminal 2 to the offer relative users of cloud processor 1 And/or treatment assessment expected results, enable cloud processor 1 based on the fused polynary user data of the user come Corresponding multiclass history is chosen to instruct sample database 4 and can be used for based on the fused polynary user data of the user to generate First result 101 of health evaluating and for treat assessment the second result 102.First result 101 is to present in the first way In terminal 2, the second method that the second result 102 is different from first method is presented in terminal 2.Cloud processor 1 in response to Selection of the user to the first result 101 or the second result 102 filters out multiclass history and instructs the first first of one of sample database 4 Class history instructs sample database 41.According to the fused polynary user data of the user and refer to the first result 101 or the second knot The selection of fruit 102, the first first class history filtered out to the offer of terminal 2 instruct several optional initial in sample database 41 Guidance program 5.

Cloud processor 1 also executes following steps:

S100: the polynary user data for including at least user's sign information 6, motion information 7 and diet information 8 is carried out Fusion is to reduce the interference and uncertainty that terminal 2 uploads data.Preferably, cloud processor 1 can at least be based on user Sign information 6 is associated with the expected diet information 6b of the first desired movement information 6a of generation respectively and first in cloud storage medium 3. Preferably, the sign information 6 of user can also react the motion information and diet information of user to a certain extent.For example, user Sign information 6 include at least and belong to the hypertension of the circulatory system, then the first desired movement information 6a indicates that user can not grow Phase high-intensity exercise, and the first expected eating habit of the diet information 6b comprising user does not include long-term less salt.For example, user 6 metabolic system of sign information nonalcoholic fatty liver and type-II diabetes, then the first desired movement information 6a indicate use Head of a household's phase sitting, amount of exercise is few, and the cardiopulmonary ability of user is weaker.First expected diet information 6b is that the eating habit of user can not It can be less salt, low sugar.Such as user's sign information 6 is the anxiety and depression of neuropsychiatric, then the first of user is expected Motion information 6a indicates do not have the long-term habit and motion intention for keeping aerobic exercise.First expected diet information 6b indicates to use Family is it is not possible that long-term appetite is good.For example, user's sign information 6 belong to skeletal system due to pass caused by sitting quietly of bending over the desk for a long time Section inflammation and cervical spondylosis, then the first desired movement information 6a indicates that user can not have the movement of big load, such as gymnastics, fist It hits, basketball etc., and can not have good athletic performance.First expected diet information 6b indicates that user does not have and takes the photograph for a long time Enter the food of the acidic foods such as the chicken and duck flesh of fish and the phenylalanine tryptophan containing tyrosine.

Preferably, difference degree and first of the cloud processor 1 based on the first desired movement information 6a Yu motion information 7 It is expected that user's sign information 6, motion information 7 and diet are assessed and corrected to the difference degree of diet information 6b and diet information 8 Information 8.Preferably, the first movement differential value indicates that the difference degree of the first desired movement information 6a and motion information 7 is more than extremely It is entirely different more than two less.For example, the arthritis that user suffers from hypertension and suffers from, then the first desired movement information 6a table Show that user does not have long-term aerobic exercise habit and high load capacity exercise habit.If the motion information 7 of user indicates user Resting heart rate be in 60 under/every point hereinafter, have play basketball for a long time, boxing habit, and neck bone muscle strength well, Conscious degree of fatigue be in painstaking grade, then wherein resting heart rate under 60/every point play basketball, box for a long time hereinafter, having The user that exercise habit is then indicated with the first desired movement information 6a does not have long-term aerobic exercise habit and is not inconsistent completely, indicates First desired movement information 6a and the difference degree of motion information 7 are more than the first movement differential value.Preferably, the first diet difference Value indicates that the difference degree of the first expected diet information 6b and diet information 8 is more than at least over two differences.For example, user suffers from The arthritis for having hypertension and suffering from, the first expected diet information 6b indicate that user does not have long-term less salt, low sugar, low intake Eating habit.If diet information 8 indicates user's chronic dietary barbecue, emits dish, seafood, and dietary, dietary amount it is small, Amount of drinking water is big, is not inconsistent then user's dietary, dietary amount are small with the first expected diet information 6b completely, indicates the first expected drink The difference degree for eating information 6b and diet information 8 is more than the first diet difference value.Preferably, the first desired movement information 6a with The difference degree of motion information 7 is more than the difference journey of the first movement differential value and the first expected diet information 6b and diet information 8 In the case that degree is less than the first diet difference value, indicate that user's sign information 6 of user is not inconsistent with motion information 7, user's Sign information 6 is consistent with diet information 8.Preferably, the appearance of above situation indicates that uncertain interference occurs in user data, It needs the sign information 6 to user, motion information 7 and diet information 8 to carry out cross validation, and abnormal data is repaired Just.Preferably, cloud processor 1 is based on the association of motion information 7 and generates the first prospective users sign information 7a and second respectively in advance Phase diet information 7b.Cloud processor 1 is based on the association of diet information 8 and generates the second prospective users sign information 8a and second respectively Desired movement information 8b.Preferably, as shown in Figure 1, the mode of cross validation is expected based on first including at least cloud processor 1 User's sign information 7a and the difference degree of the second prospective users sign information 8a confirm.Believe in the first prospective users sign When the differences of breath 7a and the second prospective users sign information 8a are more than two, indicate motion information 7 and diet information 8 each other not Symbol, is not inconsistent in conjunction with user's sign information 6 and motion information 7, can be confirmed that exception occurs in the motion information 7 of user.Cloud processing Device 1 sends data exception to the terminal 2 of user or doctor and reminds, and retests user movement information 7.Retesting user After motion information 7, when still confirming that exception occurs in the motion information 7 of user or user can not retest, then passing through the One desired movement information 6a and the second desired movement information 8b carry out the differences in correction motion information 7.Preferably, in user's body Reference breath 6 is not inconsistent with motion information 7, and the difference of the first prospective users sign information 7a and the second prospective users sign information 8a In the case that different item is less than two, whether the difference degree of the second desired movement information 8b and motion information 7 is compared more than two It is not inconsistent.When the difference degree of the second desired movement information 8b and motion information 7 are more than two, motion information 7 and diet are confirmed Information 8 does not coincide with each other, and is not inconsistent in conjunction with user's sign information 6 and motion information 7, and it is different to can be confirmed that the motion information 7 of user occurs Often.Cloud processor 1 sends data exception to the terminal 2 of user or doctor and reminds, and retests user movement information 7.In After retesting user movement information 7, still confirm that the motion information 7 of user exception or user occurs and can not retest When, then by the first desired movement information 6a and the second desired movement information 8b come the differences in correction motion information 7.In User's sign information 6 is not inconsistent with motion information 7, and the first prospective users sign information 7a and the second prospective users sign information The differences of 8a are less than two, while in the case that the differences of the second desired movement information 8b and motion information 7 are less than two, The difference degree of the second expected diet information 7b and diet information 8 is compared whether more than two, if the second expected diet information The differences of 7b and diet information 8 are more than two, then confirmation motion information 7 is not coincided with each other with diet information 8, in conjunction with user's body Reference breath 6 is not inconsistent with motion information 7, can be confirmed that exception occurs in the motion information 7 of user.Cloud processor 1 is to user or doctor Raw terminal 2 sends data exception and reminds, and retests user movement information 7.After retesting user movement information 7, When still confirming that exception occurs in the motion information 7 of user or user can not retest, then being believed by the first desired movement Breath 6a and the second desired movement information 8b carrys out the differences in correction motion information 7.If the second expected diet information 7b and drink The differences of food information 8 are less than two, then confirmation user's sign information 6, motion information 7 and diet information 8 be not different Often.Preferably, the first movement differential value and first are less than in the difference degree of the first desired movement information 6a and motion information 7 It is expected that indicating the diet of user in the case that the difference degree of diet information 6b and diet information 8 is more than the first diet difference value Information 8 is not inconsistent with motion information 7, and the sign information 6 of user is consistent with motion information 7.Preferably, the appearance table of above situation Show that uncertain interference occurs in user data, can use above-mentioned to the sign information 6 of user, motion information 7 and diet information 8 Cross validation mode is carried out to confirm abnormal data and be modified.Preferably, believe in the first desired movement information 6a and movement The difference degree of breath 7 is more than the first movement differential value and the first expected diet information 6b and the difference degree of diet information 8 are more than In the case where first diet difference value, indicate that user's sign information 6 is not inconsistent with motion information 7 and diet information 8.Cloud processor 1, which sends data exception to the terminal 2 of user or doctor, reminds, and retests user's sign information 6.Retesting user's body After reference breath 6, when still confirming that exception occurs in the sign information 6 of user or user can not retest, then passing through first Prospective users sign information 7a, the second prospective users sign information 8a correct user's sign information.

Mode through the above arrangement, beneficial effects of the present invention include at least:

1, by the verifying intersected with each other to user's sign information, motion information and diet information, number of users can be examined According to reliability, uncertainty, avoid system using insecure data generate guidance program, ensure that system generate guidance side Case can precisely match the actual conditions of user；

2, it is investigated different from the prior art by the risk tolerances that questionnaire form carries out, the present invention passes through to user's sign The verifying intersected with each other of information, motion information and diet information avoids the deviation that user's subjective bias introduces in questionnaire form, It is assessed and is verified by user data completely, can more accurate, objectively reflect the practical health condition of user；

It 3, can be fast and effeciently by the verifying intersected with each other to user's sign information, motion information and diet information Confirm abnormal data, and user or doctor terminal are reminded for abnormal data, so as to remind user or doctor in time It is raw that body detection is re-started to user, it avoids doctor from doing the diagnosis to make mistake to user, causes the therapeutic scheme mistake of user, Cause the somatic damage of unrepairable；

It 4, can be fast and effeciently by the verifying intersected with each other to user's sign information, motion information and diet information User data is realized and is corrected, redundancy detection is avoided, improves system effectiveness；

5, by the verifying intersected with each other to user's sign information, motion information and diet information, user's sign is realized The syncretizing mechanism of information, motion information and diet information closed circulation each other, formed imperfectly, the print each other that connects each other The entirety of card instructs the stability of system so as to improve the present invention, will not because of a certain data exception and cause to generate Guidance program accuracy reduce, but also can pass through the cross validation of circulation, constantly improve data accuracy；This Outside, additionally it is possible to the response time of system is improved, to improve the efficiency that system generates guidance program.

S200: carrying out health evaluating based on fused polynary user data and instruct sample database 4 to obtain corresponding history, And several initial guidance programs 5 are generated to instruct sample database 4 to carry out screening history based on the result of health evaluating.Preferably, Instructing system configuration is to carry out health evaluating to user as follows: cloud manager 1 is based on fused polynary user Data correlation assesses user health risk, locomitivity and diet, thus respectively generate outcome expectancy set 10, Kinematic parameter and diet parameter.Preferably, it can determine that user is good for by carrying out health evaluating to fused user data Kang Wenti.Health problem includes at least the disease and related lifestyle bring healthy hidden danger that user is suffered from.Preferably, may be used With according to the health problem that health problem is determining and identification user's individual urgently improves, and it is corresponding pre- with this to generate health problem Phase result.Since the health problem of user's individual is more, corresponding expected results are outcome expectancy set.Preferably, it ties The expected set of fruit is included at least to sort according to the risk class of corresponding health problem, generates the first result.Preferably, health is asked The risk class of topic is ranked up according to the healthhazard severity of disease or symptom.Outcome expectancy set further includes According to the second result of the complexity sequence for completing expected results.Mode through the above arrangement, user can be according to the first knots Fruit identifies and locks user's health problem urgently to be resolved and bring expected results, can also determine mesh by the second result Before the health problem that can be relatively easy to and quickly solve.Preferably, cloud processor 1 by fused user data into Row assesses the kinematic parameter and diet parameter of available user.Preferably, kinematic parameter is calculated including at least heart rate.Heart rate is surveyed Calculation can be detected according to the wearable device of user.Intensity of the human body when carrying out physical exertion can be embodied directly in the heart In rate variation, it can be calculated using reserve heart rate method.Preferably, kinematic parameter further includes conscious degree of fatigue scale, is fitted User for the quantitative intensities such as heart rate can not to be used to detect.Preferably, kinematic parameter further includes the measurement of maximal oxygen uptake.Most Big oxygen uptake can effectively measure the exercise intensity of individual during the motion.Preferably, kinematic parameter further includes that metabolism is worked as It measures and calculates.Metabolic equivalent can assess opposite energy of the user when launching a campaign by the metabolism energy consumption under measuring and calculating quiescent condition Metaboilic level is measured, and then reflects physical exertion intensity.Preferably, diet parameter includes the eating habit of patient.Diet parameter It further include dietetic variety, diet time, the dietary intake of the user of every day entry.

Preferably, cloud manager 1 is based on the corresponding history of outcome expectancy set acquisition and instructs sample database 4.Preferably, cloud End processor 1 generates the first first class history based on highest first outcome expectancy of risk rating in the first result and instructs sample Library 41.Preferably, the first history instructs to include multiple guidance programs corresponding with expected results in sample 41.Cloud processor 1, which generates the second first class based on the second outcome expectancy that the complexity for reaching expected results in the second result is graded minimum, goes through History instructs sample database 42.Preferably, cloud manager 1 is based on kinematic parameter, diet parameter, the surrounding enviroment of user and movement It is intended to instruct sample database 4 to carry out screening history and generate several initial guidance programs 5.Preferably, the surrounding enviroment of user refer to Be be suitble to user carry out sports events.For example, playground of the user in outdoor, then user is suitble to jog or hurry up.Such as Surrounding enviroment where user have swimming pool, then user can carry out swimming exercise.Preferably, the gymnasium of user indoors, It can be run or be hurried up on a treadmill, strength building can also be carried out.Preferably, several initial guidance programs 5 are at least Including the first initial guidance program 51 and the second initial guidance program 52.Preferably, guide item is extremely in initial guidance program 5 It less include sports events and Eating items.Preferably, sports events further includes somatic sensation television game.Cloud processor 1 assesses user's Kinematic parameter, diet parameter, the surrounding enviroment of user and motion intention instruct sample database 41 to carry out the first first class history Screening generates the first initial guidance program 51.Cloud processor 1 assess the kinematic parameter of user, diet parameter, user periphery Environment and motion intention instruct sample database 42 to carry out screening the second first class history and generate the first initial guidance program 52.It is logical The set-up mode is crossed, the healthy living guidance program of generation not only includes relevant to user's health problem urgently to be resolved at present Guidance program, further include be easily accomplished and can rapid feedback, improvement health problem guidance program, user can be allowed timely Positive feedback is obtained, increases the enthusiasm that user executes guidance program, avoids user from generating resentment, so that user It is able to maintain existing healthy Lifestyle.

S300: user is based on initial guidance program 5 and carries out in the movable situation of related guidance, and cloud manager 1 is based on using Family carries out user data, the execution state of initial guidance program 5 and the self-feedback amendment of user when related guidance activity Initial guidance program 5.Preferably, the implementation procedure of initial guidance program 5 is the process of a dynamic adjustment, process data packet The information such as the self-feedback of the detection of user's regular health sign or check, the sensing data that terminal uploads and user are included, all can Dynamic influence is generated on subsequent guidance program.For example, user feedback power is exhausted and is unable to complete, or think the fortune in guidance program The dynamic project implementation is excessively light, so that cloud processor 1 adjusts the exercise intensity in initial guidance program 5 based on information above. Preferably for persistently impossible moving target, kinematic parameter can be turned down in right amount, and investigates the schedule of user, adjusted Whole initial guidance program 5.Preferably, after executing the initial guidance program 4 of completion, executive condition of the cloud processor 1 to user It is assessed, traces related unfinished guidance program and its reason, and retain the kinematic parameter and drink of the guidance program of completion Eat parameter, the initial value as the next healthy living guidance program of user.Mode through the above arrangement, guidance system of the invention System forms detection, health evaluating, the closed-loop system that guidance program generates, tracking is assessed, and improves the stability of system, and in this base On plinth, the polynary user data of user's sign information 6, motion information 7 and diet information is subjected to mixing together, and through inspection Survey, health evaluating, guidance program generates, tracking is assessed in each step, subtracts so as to link each in closed-loop system Few polynary user data bring interference and uncertainty, and due to carrying out data cross fusion, phase in each link Mutually verifying, therefore with the increase of circulation, it is more accurate that accumulative user data can be brought, so that instructing system more steady It is fixed and efficient.

The step of method described in conjunction with the examples disclosed in this document or algorithm, can directly be held with hardware, processor The combination of capable software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only deposit Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology In any other form of storage medium well known in field.

It should be noted that above-mentioned specific embodiment is exemplary, those skilled in the art can disclose in the present invention Various solutions are found out under the inspiration of content, and these solutions also belong to disclosure of the invention range and fall into this hair Within bright protection scope.It will be understood by those skilled in the art that description of the invention and its attached drawing are illustrative and are not Constitute limitations on claims.Protection scope of the present invention is defined by the claims and their equivalents.

Claims (10)

1. the healthy Lifestyle based on multivariate information fusion instructs system, cloud processor (1), at least one end are included at least (2) and cloud storage medium (3) are held,

The cloud processor (1) is configured to store user and medical staff by the user data that the terminal (2) uploads In the cloud storage medium (3), and it is based on including at least health evaluating expected results in the cloud storage medium (3) Sample database (4) is instructed to filter out the initial guidance side for pushing to the terminal (2) with the history for the treatment of assessment expected results Case (5),

It is characterized in that,

The expection of relative users assessed for health evaluating and/or treatment is provided by terminal (2) Xiang Suoshu cloud processor (1) As a result, it is corresponding more to choose the cloud processor (1) can based on the fused polynary user data of the user Class history is instructed sample database (4) and can be generated based on the fused polynary user data of the user for health evaluating First result (101) and for treat assessment the second result (102), wherein first result (101) is in the first way It is presented in the terminal (2), the second method that second result (102) is different from the first method is presented in described Terminal (2),

Selection of the cloud processor (1) in response to user to first result (101) or the second result (102), screening The multiclass history instructs the first first class history of one of sample database (4) to instruct sample database (41) out, and according to the user Fused polynary user data and selection with reference to first result (101) or the second result (102), Xiang Suoshu terminal (2) the described first first class history that offer is filtered out instructs several optional initial guidance programs in sample database (41) (5)。

2. according to claim 1 instruct system, which is characterized in that it is described instruct system configuration be it is right as follows The polynary user data is merged:

The cloud processor (1) at least can be associated with the cloud based on user's sign information (6) of the polynary user data The history for including at least health evaluating expected results and treating assessment expected results in end storage medium (3) instructs sample database (4) the first desired movement information (6a) and first expected diet information (6b) are generated respectively；

The cloud processor (1) is based on the motion information of the first desired movement information (6a) and the polynary user data (7) difference of the diet information (8) of difference degree and first expected diet information (6b) and the polynary user data Different scale evaluation simultaneously corrects user's sign information (6), motion information (7) and diet information (8).

3. instructing system according to one of preceding claims, which is characterized in that in the first desired movement information The difference degree of (6a) and the motion information (7) be more than the first movement differential value and first expected diet information (6b) and In the case that the difference degree of the diet information (8) is less than the first diet difference value,

The cloud processor (1) is based on the motion information (7) association history and sample database (4) is instructed to generate first respectively Prospective users sign information (7a) and second expected diet information (7b),

And the history is associated with based on the diet information (8), sample database (4) is instructed to generate the second prospective users sign letter respectively Cease (8a) and the second desired movement information (8b)；

The cloud processor (1) is based on the first prospective users sign information (7a) and the second prospective users sign is believed Cease the difference degree of (8a), the difference degree of the second desired movement information (8b) and the motion information (7) and described Second expected diet information (7b) and the difference degree of the diet information (8) assess user's sign information (6), movement is believed Cease (7) and diet information (8).

4. instructing system according to one of preceding claims, which is characterized in that in the first desired movement information The difference degree of (6a) and the motion information (7) be more than the first movement differential value and first expected diet information (6b) and In the case that the difference degree of the diet information (8) is more than the first diet difference value,

The cloud processor (1) is based on the first prospective users sign information (7a), the second prospective users sign information (8a) corrects user's sign information (6).

5. instructing system according to one of preceding claims, which is characterized in that described to instruct system configuration for according to such as Under type carries out health evaluating to user and/or treatment is assessed:

The cloud manager (1) be based on fused polynary user data be associated with the knowledge base (9) to user health risk, Locomitivity and diet are assessed, so that outcome expectancy set (10), kinematic parameter and diet parameter are generated respectively, In,

The outcome expectancy set is included at least according to risk class sequence the first result (101) and according to completion expected results The second result (102) of complexity sequence.

6. instructing system according to one of preceding claims, which is characterized in that select the terminal (2) to present in user One of described several optional initial guidance programs (5) carry out healthy living guidances and fed back to the cloud processor (1) In the case where health guidance effect, the cloud processor (1) is based on information that user is fed back by the terminal (2) to described Terminal (2) provide be stored in the cloud storage medium (3) be different from that such history instructs in sample database (4) it is several can Several optional first guidance programs of the initial guidance program (5) of choosing, wherein

Several optional first guidance sides in sample database (4) are instructed according to such history that the terminal (2) is presented in user Case (5) carries out healthy living guidance and is fed back by the terminal (2) Xiang Suoshu cloud processor (1) still without reaching expected effect In the case where fruit,

Cloud processor (1) response is different from the user for the first time to first result (101) or the second result (102) Selection, filter out and instruct the multiclass history of sample database (41) to instruct sample database different from the described first first class history One of (4), and according to the fused polynary user data of the user and with reference to described it is different from the user for the first time to the The selection of one result (101) or the second result (102), Xiang Suoshu terminal (2) provide such history filtered out and instruct sample Several optional second guidance programs in library (4).

7. instructing system according to one of preceding claims, which is characterized in that several initial guidance programs (5) are extremely It less include the first initial guidance program (51) and the second initial guidance program (52), wherein

Highest first outcome expectancy of the risk rating that the cloud processor (1) is based in first result (101) generates First first class history instructs sample database (41), and assesses the kinematic parameter of user, diet parameter, the surrounding enviroment of user And motion intention instructs sample database (41) to carry out screening the first initial guidance program of generation the described first first class history (51)；

It is minimum that the cloud processor (1) is based on the complexity grading for reaching expected results in second result (102) The second outcome expectancy generate the second first class history and instruct sample database (42), and assess the kinematic parameter, the diet of user Parameter, the surrounding enviroment of user and motion intention instruct sample database (42) to carry out screening generation the described second first class history First initial guidance program (52).

8. instructing system according to one of preceding claims, which is characterized in that be based on the initial finger in the user It leads scheme (5) to carry out in the movable situation of related guidance, when the cloud manager (1) is based on user's progress related guidance activity User data, the execution state of the initial guidance program (5) and the self-feedback of user correct the initial guidance side Case (5), wherein

The cloud processor (1) analyzes it according to several modified initial guidance programs (5) of the user and instructs trend simultaneously The terminal (2) that tendency information is pushed to the specific user is based on its modified initial guidance program (5) by the terminal (2) Variation tendency determines that at least three instruct path, wherein one is instructed path to include at least the guidance grade for motion information Not, wherein another is instructed path to include at least and instruct rank for diet information, wherein third instructs path to include at least That is formulated according to the variation tendency of similar users instructs rank for sign information, wherein

The similar users are at least in the first result (101) of health evaluating or the second result (102) for the treatment of assessment Same section is more than first threshold.

9. the healthy Lifestyle guidance method based on multivariate information fusion, the guidance method include at least: cloud processor (1) it is configured to for user and medical staff being stored in cloud storage medium (3) by the user data that terminal (2) uploads, and Referred to based on the history for including at least health evaluating expected results and treatment assessment expected results in the cloud storage medium (3) It leads sample database (4) and filters out initial guidance program (5) for pushing to the terminal (2),

It is characterized in that,

The expected knot of relative users assessed for health evaluating and/or treatment is provided from terminal (2) to cloud processor (1) Fruit, so that the cloud processor (1) can choose corresponding multiclass based on the fused polynary user data of the user History instruct sample database (4) and can be generated based on the fused polynary user data of the user for health evaluating One result (101) and for treat assessment the second result (102), wherein first result (101) is to be in the first way Now in the terminal (2), the second method that second result (102) is different from the first method is presented in the end It holds (2),

Selection of the cloud processor (1) in response to user to first result (101) or the second result (102), screening The multiclass history instructs the first first class history of one of sample database (4) to instruct sample database (41) out, and according to the user Fused polynary user data and selection with reference to first result (101) or the second result (102), Xiang Suoshu terminal (2) the described first first class history that offer is filtered out instructs several optional initial guidance programs in sample database (41) (5)。

10. guidance method according to claim 9, which is characterized in that described to instruct system configuration for as follows The polynary user data is merged:

The cloud processor (1) at least can be associated with the cloud based on user's sign information (6) of the polynary user data The history for including at least health evaluating expected results and treating assessment expected results in end storage medium (3) instructs sample database (4) the first desired movement information (6a) and first expected diet information (6b) are generated respectively；

The cloud processor (1) is based on the motion information of the first desired movement information (6a) and the polynary user data (7) difference of the diet information (8) of difference degree and first expected diet information (6b) and the polynary user data Different scale evaluation simultaneously corrects user's sign information (6), motion information (7) and diet information (8).