WO2019047223A1 - Cloud computing platform-based traditional chinese medicine pulse-assisted diagnosis system and method - Google Patents

Abstract

Provided are a cloud computing platform-based traditional Chinese medicine (TCM) pulse-assisted diagnosis system and a method thereof, wherein the system comprises a data collection system, a cloud computing platform, and a presentation system, wherein the data collection system is used to collect user data and upload the user data to the cloud computing platform, wherein the user data comprises at least the pulse data of the user; the cloud computing platform is used to form a diagnosis result according to the user data, and further form a treatment plan on the basis of the diagnosis result; the presentation system is used to present the diagnostic result and/or the treatment plan. The cloud computing platform-based TCM pulse-assisted diagnosis system and method provided by the invention simplifies the popularization and application of Chinese medicine.

Description

Traditional Chinese medicine pulse-assisted diagnosis system and method based on cloud computing platform

[Technical Field]

The invention relates to the field of traditional Chinese medicine, in particular to a traditional Chinese medicine pulse-assisted diagnosis system and method based on a cloud computing platform.

 【Background technique】

As a treasure of Chinese traditional culture, Chinese medicine has played a vital role in the lives of Chinese people since ancient times. However, the diagnosis and treatment of Chinese medicine is a complex system science. At present, due to the lack of standardized processes and results in the diagnosis and treatment of diseases based on TCM theory, the lack of quantitative knowledge structure limits the popularization and promotion of Chinese medicine.

 [Summary of the Invention]

The invention provides a Chinese medical pulse-assisted diagnosis system and method based on a cloud computing platform, which organically combines TCM theory with cloud computing technology, and utilizes the big data analysis capability of cloud computing technology to achieve unified diagnostic criteria and consistent diagnosis. As a result, a qualitative and quantitative treatment method can be given.

In order to solve the above technical problem, a technical solution adopted by the present invention is to provide a traditional Chinese medicine pulse-assisted diagnosis system based on a cloud computing platform, the system comprising:

a data collection system, configured to collect user data, and upload the user data to a cloud computing platform, where the user data includes at least pulse data of the user;

a cloud computing platform, configured to form a diagnosis result according to the user data, and further form a treatment plan based on the diagnosis result;

A presentation system for presenting the diagnostic result and/or the treatment protocol.

In order to solve the above technical problem, another technical solution adopted by the present invention is to provide a Chinese medical pulse-assisted diagnosis method based on a cloud computing platform, the method comprising:

Collecting user data and uploading to a cloud computing platform, the user data including at least pulse data of the user;

Forming a diagnosis result based on the user data, and further forming a treatment plan based on the diagnosis result;

The diagnostic result and/or the treatment regimen is presented.

The beneficial effects of the present invention are: different from the prior art, the cloud computing platform-based TCM pulse-assisted diagnosis system and method provided by the present invention simplifies the popularization and popularization of Chinese medicine.

The aforementioned big data, in addition to the big data analysis capabilities of cloud computing technology, also includes:

“User Big Data”—stored in the data collection system, which may include: basic user information, detection data (meridian, pulse, thermal imaging, etc.), consultation data, etc., all of which are user big data;

"Case big data" - storage cloud computing platform, collecting presets of successful big data cases, by collecting actual cases, continuously collecting and collecting actual case big data, and finally forming case big data;

“Big data for diagnosis and treatment” – stored in the presentation system, is also constantly accumulating large data for the formation of medical treatment demonstrations.

 [Description of the Drawings]

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the present invention. For those skilled in the art, other drawings may be obtained according to these drawings without any creative work, wherein:

1 is a schematic block diagram of a TCM pulse-assisted diagnosis system based on a cloud computing platform according to an embodiment of the invention;

2 is a schematic diagram showing the distribution of a pulse diagnosis scale of a TCM pulse-assisted diagnosis system based on a cloud computing platform according to an embodiment of the present invention;

3 is a schematic diagram of pulse fluctuations of a TCM pulse-assisted diagnosis system based on a cloud computing platform according to an embodiment of the invention;

4 is a schematic flow chart of a TCM pulse-assisted diagnosis method based on a cloud computing platform according to an embodiment of the invention.

【Detailed ways】

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.

Referring to FIG. 1 , an embodiment of the present invention provides a TCM pulse-assisted diagnosis system based on a cloud computing platform 200 , where the system includes a data collection system 110 , a cloud computing platform 200 , and a presentation system 120 . The data collection system 110 and the presentation system 120 can be an integrated terminal 100.

Specifically, the data collection system 110 is configured to collect user data, where the user data includes at least pulse data of the user; the cloud computing platform 200 is configured to form a diagnosis result according to the user data, and further form a treatment plan based on the diagnosis result; 120 is for presenting the diagnostic result and/or the treatment regimen.

In a specific embodiment of the present invention, the data collection system 110 can be used to detect the pulse data on a wrist of a user by using a ring-shaped pulse diagnostic apparatus available on the market.

Referring to FIG. 2 and FIG. 3 together, the pulse diagnosis apparatus can obtain, for example, a waveform diagram shown in FIG. 3 by detecting the inch portion shown in FIG. 2.

The user data further includes basic information of the user and the consultation data of the user, wherein the basic information includes at least one of a name, an age, a height, a weight, a medical history, and a history of allergy of the user, The consultation data is obtained by the cloud computing platform 200 through the data collection system 110 in the form of a dynamic questionnaire. Correspondingly, the integrated terminal device 100 is provided with a display screen, a keyboard, a voice prompting module and the like.

The cloud computing platform 200 is provided with a valid case library, and the effective case library collects a plurality of valid cases, each valid case includes a pulse data sample and a corresponding diagnosis result sample and a treatment plan sample, The cloud computing platform 200 matches the pulse data of the user with the pulse data sample of the valid case, and if there are pulse data samples with the same or similarity greater than a preset threshold, the corresponding diagnosis result sample and treatment plan will be The sample is directly or adjusted for use as a diagnostic result and treatment plan for the user. Wherein, the adjusting may be to adjust the time or amount of one or more specific indicators in a specific diagnosis result sample and a treatment plan sample, for example, one of the treatment plan samples is a Chinese medicine formula, and the corresponding adjustment may be The amount of the traditional Chinese medicine is reduced or increased according to the severity of the symptoms to which the Chinese medicine formula is directed.

In order to continuously update the database, the cloud computing platform 200 further generates an intelligent diagnosis algorithm by performing data mining on the valid cases in the valid case library. When there is no pulse data sample with the same or similarity greater than the preset threshold, then The diagnosis result and the treatment plan of the user are generated by the intelligent diagnosis algorithm according to the difference between the pulse data of the user or the pulse data of the user and the pulse data sample of the valid case.

Among them, the intelligent diagnosis algorithm mainly screens out and recombines the treatments with significant curative effects in the existing effective cases to generate a plurality of new treatment plans, when there are no pulse data samples with the same or similarity greater than the preset threshold, Through the user's large amount of efficacy feedback, the effectiveness of the new treatment plan can be continuously confirmed, and the effective new treatment plan is combined with the new diagnosis data and diagnosis result of the corresponding user to form a new effective case and updated into the effective case database.

For example, there are 3 effective treatment options in the existing effective cases, including program 1, ABCDE; program 2, ACBDE; program 3, ADBCE; intelligent diagnosis algorithm can provide new program IV, AEBCD and other new treatments. The program can confirm the new scheme IV and AEBCD is an effective treatment plan through the user's large amount of efficacy feedback. The new scheme IV, AEBCD combined with the new diagnostic data and diagnosis results of the corresponding users constitute a new effective case and updated into the effective case database. A/B/C/D/E refers to a specific internal or external treatment scheme, respectively. It should be noted that the simple description is given here only in the order, and the actual situation is not limited thereto.

In a specific embodiment of the present invention, the cloud computing platform 200 assigns a unique identification mark to the user and a personal inquiry database associated with the unique identification mark, and the personal inquiry database is used to store the user in the database. The pulse data at different times, the diagnostic results, the treatment regimen, and an evaluation for the treatment regimen.

In a specific embodiment of the present invention, the cloud computing platform 200 further combines the existing pulse data and the corresponding diagnosis result, the treatment plan, and the evaluation of the treatment plan for the current location. The pulse data is analyzed to obtain diagnostic results and treatment protocols corresponding to the current pulse data.

In a specific embodiment of the invention, the data collection system 110 further obtains an evaluation of the therapeutic effect of the treatment protocol, and validates the treatment plan evaluated as effective together with the corresponding pulse data and diagnosis results as effective The case collects the valid case library or adjusts the treatment plan that is evaluated as invalid. Wherein, adjusting the treatment plan that is evaluated as invalid may be adjusting the time or amount of one or more specific indicators in a specific treatment plan, for example, one of the treatment plans is a Chinese medicine formula, and the corresponding adjustment The amount of the traditional Chinese medicine may be reduced or increased depending on the therapeutic effect against which the important formula is directed.

Wherein the evaluation comprises subjective evaluation of the therapeutic effect of the user on the treatment regimen and objective assessment after diagnosis or detection.

The treatment protocol includes at least two sub-therapeutic regimens that assign different weights to the sub-therapeutic regimens.

The treatment protocol includes a sub-therapeutic regimen for different organs, the cloud computing platform 200 assigning different weights to the sub-therapeutic regimens based on the diagnostic results and the five-line theory.

In a specific embodiment of the present invention, the cloud computing platform 200 assigns different weights to the child treatment plan according to at least one of the user's age, constitution, needs, and evaluation of the treatment plan. For example, the treatment regimen includes a first sub-therapeutic regimen and a second sub-therapeutic regimen,

For a user with a heart problem, the first sub-therapeutic regimen may be physical therapy, the second sub-therapeutic regimen may be drug therapy, and the cloud computing platform 200 assigns a weight of 90% to the first sub-therapeutic regimen, which is the second sub- The treatment plan is assigned a weight of 10%;

For a user with a liver problem, the first sub-therapeutic regimen may be a sleep suggestion, and the second sub-therapeutic regimen may be a dietary recommendation, the cloud computing platform 200 assigning a weight of 60% to the first sub-therapeutic regimen as a second sub- The treatment plan is assigned a weight of 40%;

For users over 40 years old, the cloud computing platform 200 assigns a weight of 30% for the first child treatment plan and a weight of 70% for the second child treatment plan;

For users under 40 years old, the cloud computing platform 200 assigns a weight of 40% for the first child treatment plan and 60% for the second child treatment plan;

For a male user, the cloud computing platform 200 assigns a weight of 30% for the first child treatment plan and a weight of 70% for the second child treatment plan;

For female users, the cloud computing platform 200 assigns a weight of 40% for the first sub-therapeutic regimen and 60% for the second sub-therapeutic regimen.

In a specific embodiment of the invention, the presentation system 120 presents the treatment plan in a virtual reality manner.

Wherein, the treatment plan includes an external treatment plan, and the presentation system 120 presents a standard operation mode of the external treatment plan in a virtual reality manner. Users can quickly learn and use according to the standard operating mode.

The data collection system 110 further acquires an actual operation mode of the user during the implementation of the treatment plan, and the cloud computing platform 200 further further compares the standard operation mode and the actual operation mode. Correction information is presented by the rendering system 120.

The presentation system 120 presents a human body model in a virtual reality manner, and displays at least one or a combination of a work area, an action method, a force of action, and a duration of action of the external treatment plan on the human body model.

The data collection system 110 further obtains a physical feature of the user, and the presentation system 120 generates the human body model according to the physical features of the user.

Referring to FIG. 4, an embodiment of the present invention further provides a TCM pulse-assisted diagnosis method based on the cloud computing platform 200, where the method includes:

S110, collecting user data and uploading to the cloud computing platform 200, where the user data includes at least pulse data of the user;

S120, forming a diagnosis result according to the user data, and further forming a treatment plan based on the diagnosis result;

S130, presenting the diagnosis result and/or the treatment plan.

The forming the diagnosis result according to the user data further includes:

Determine whether there are similar cases in the valid case base;

If there are similar cases, directly output the diagnosis results and treatment plans of similar cases;

If there is no similar case, the diagnosis result and the new treatment plan of the user are generated by an intelligent diagnosis algorithm.

Wherein, if the similar case is not present, the diagnosis result and the new treatment plan of the user are generated by the intelligent diagnosis algorithm, and the method further includes:

Receiving feedback from the user performing the new case treatment plan;

If the feedback is good, the new case treatment plan is added to the case library;

If the feedback is not effective, determine whether there is a measurement deviation;

Re-measure if there is a measurement deviation;

If there is no measurement deviation, leave it to the doctor for diagnosis.

In the embodiment of the present invention, the data collection system 110 is mainly used for collecting user data, and specifically includes basic information of the user, user's medical consultation data, and pulse data of the user.

The basic information mainly includes at least one or a combination of the user's name, age, height, weight, medical history, and allergy history. The above basic information can play a supporting role in the subsequent diagnosis and formation of the treatment plan, as will be described below.

The diagnosis data is obtained by the cloud computing platform 200 through the data collection system 110 in a dynamic questionnaire manner. Specifically, the cloud computing platform 200 may first present a preset initial problem through the data collection system 110 for the user. Answer, record the subjective information of the user's reply, and further analyze the excavation, calculate and give the dynamic next round of consultation questions, until the effective consultation is completed, and the final consultation data is obtained.

For example, taking headache symptoms as an example, according to the theory of Chinese medicine, there are two major categories of external and internal injuries. Exogenous headache is caused by feeling exogenous evils, mainly caused by exogenous six kinky evils. It is divided into several types: wind-cold headache, wind-heat headache, and rheumatism headache. Internal injury headache is caused by visceral qi and blood disorders, specifically divided into liver and yang headache, kidney deficiency headache, blood deficiency headache, turbid headache. The above-mentioned headache symptoms are respectively reflected in different symptoms. For example, the symptoms of cold and cold headache are: headache, pain, even back, wind and sorrow, suffocating chills, mouth not thirsty, thin white fur, etc. Headache symptoms are manifested as: headache and swelling, even headaches such as cracks, fever or bad wind, red face red, thirsty to drink, constipation to yellow, red tongue and yellow. The pulse detection data corresponding to different symptoms are different, and the pulse detection data corresponding to each symptom exhibits similarity.

Therefore, the cloud computing platform 200 can pre-collect various symptom manifestations corresponding to various diseases based on the theory of traditional Chinese medicine, and form a classification tree of the problem diagnosis questions with hierarchical relationship through data mining and classification, and select according to the user's subject information. Different consultation questions, and then achieve dynamic consultation.

The specific implementation includes the following steps:

The first step is the collection of measurement data, which is divided into consultation data and pulse measurement data. The consultation data can cover three aspects of hope, smell and question, including:

1, collecting patient information, age, gender, medical history, allergy history, etc.;

2, objective consultation form, collecting patient complaint information;

3. The pulse measurement data is collected by means of the TCM pulse detector, and the data of all the pulse signals are measured, including the measurement data of the 6 pulse heads of the left and right hand size;

In summary, the need to obtain user test data is completed, and the data will be transmitted to the cloud platform for in-depth analysis.

The cloud computing platform 200 stores user information data, adopts unique key identification mode, does not repeat, and establishes unique identity verification for each valid user to record post-personal medical treatment tracking data. At the same time, it can also be added to the case library as a diagnosis reference data for others.

The cloud computing platform 200 asks for the patient data, records the user complaint information, analyzes the mining, calculates the dynamic questioning problem, and retrieves the next round of problem data according to the user's reply, until the effective consultation is completed, and the diagnosis result is obtained. .

The pulse is the speed, strength, and depth of the pulse. The physiological function of the whole body can be diagnosed by pulse, as shown in Figure 2.

The yin and yang distinguish the disease, the viscera determines the disease, and jointly launches the disease syndrome. The pulse diagnosis distinguishes the pulse from the "bit, number, shape, and potential". The pulse is subtle. Any small changes inside and outside the body can be manifested through the change of the pulse, and the diagnosis is more accurate. Although the human body meridian qi and blood are connected with the five internal organs, when the meridian lesions are not yet visceral, it is difficult to judge the body's meridians and decays only by the mouth veins. A variety of diagnostic methods can be used together to compensate for the shortcomings and deficiencies of a single diagnosis. The normal pulse is the sign that the human body is full of blood and blood, and the yin and yang are balanced and healthy. Common diseases include floating veins, Shenmai, delayed veins, several veins, virtual veins, real veins, slippery veins, Hongmai, fine veins, and string veins.

Studies have shown that different pulse shapes have different waveform characteristics, as shown in Figure 3.

Because the pulse will be affected by many factors, such as temperature, humidity, age, gender, geographical environment, spatial location, diet, emotional state, etc., it can also be sampled multiple times at different times in a single day; Time comparison measurement; the final accumulation of personal big data samples, the overall trend towards a certain category of pulse, this conclusion is consistent with the normal distribution, so it is more accurate and credible.

Among them, the collection of big data includes multiple data from multiple individuals and different parties, collecting and collecting large data such as big data for diagnosis, big data for medical consultation, and big data for medical records.

In the second step, the cloud computing platform 200 calculates and analyzes and gives a final diagnosis result, specifically including

1. Upload the conclusion of the consultation, the pulse measurement conclusion, and the refined user demand big data to the cloud server to give the final diagnosis conclusion.

2. Checking similar cases, the cloud computing platform will integrate a large number of successful Chinese medicine case data and expert effective experience data to provide support for medical services. If similar cases and effective diagnosis results are found, virtual reality techniques can be used to aid treatment; if there are no similar cases, intelligent algorithms are used to analyze the current data to give the best diagnosis.

The cloud computing platform 200 calculates and analyzes and analyzes according to the measurement data provided by the user. In addition to obtaining the final diagnosis conclusion, a plurality of demand points can be extracted, and a plurality of solutions are calculated correspondingly, and a solution library can be formed. Including traditional Chinese medicine treatment, health care therapy, sexual therapy, recommended diet therapy. The cloud computing platform prioritizes needs, assigns different weights to different needs, and also gives weight to the solution. The user can implement the solution according to the recommendations. According to the practical effect, the cloud computing platform can automatically update the adjustment plan library and its weight according to the actual treatment effect.

For example, users have persistent coughing and occasional lumbar pain problems, giving greater weight to solutions to persistent cough problems and less weight to solutions to occasional lumbar pain problems;

For another example, if the user's needs include not taking bitter Chinese medicine, the solution that does not include bitter Chinese medicine treatment, if the effect is not good after practice, then re-adjust, or give a solution to bitter Chinese medicine treatment.

The cloud computing platform 200 calculates and analyzes, which involves the integration of information technology and clinical experience of Chinese medicine experts. The cloud computing platform 200 initializes the excellent TCM medical treatment case database, mines and analyzes the actual cases of big data collected, and continuously improves the TCM diagnosis and treatment medical case database according to historical data and actual data.

In order to realize the informationization of Chinese medicine, both are indispensable. Information technology as a platform carrier, its architecture design will use information network database platform construction, security assurance system and artificial intelligence technology of results analysis system; Chinese medicine experts clinical experience database design and construction, can integrate a large number of real and effective Chinese medicine conclusions And successful cases as a reference for diagnosis and treatment, to provide a practical basis for accurate diagnosis and treatment. The cloud computing platform 200 combines the diagnosis and measurement results, and performs intelligent analysis and judgment, and can query, filter, compare, logically associate the data table according to certain logic, and further locate the diagnosis result in the valid data range. Here, the logic design will play a role in discriminating the investigation. For example, the seasonal factors will affect the meridian according to the time; the individual's physical condition will be comprehensively diagnosed according to the unit balance criterion. It can analyze all the existing information data in a multi-faceted, multi-dimensional and all-round way.

In order to further accurately obtain the imbalance between the disease, the viscera, the cold and the heat, and the corresponding treatment methods, the following pathological analysis is carried out: the disease process is divided into two categories: yin and yang, Sanyang and Sanyin. Sanyang disease syndrome is the sun disease syndrome, Yangming disease syndrome, Shaoyang disease syndrome. The syndrome of Sanyin disease is the syndrome of Taiyin disease, syndrome of Shaoyin disease and syndrome of phlegm and blood stasis. Where the evil spirits are not ruined, most of them belong to the Sanyang disease syndrome, and the treatment is mainly based on phlegm and evil; if the qi is weak, most of them belong to the syndrome of Sanyin disease, and the treatment should be based on Fuzheng. Among the six diseases, the main watch of the sun, the main body of Yangming, the main part of Shaoyang is half a mile, and the Taiyin, Shaoyin and Suiyin belong to the inside. The syndrome of six syndromes is a reflection of the changes of meridians and viscera. The syndrome of Sanyang is based on the lesions of Liuzhi, and the syndrome of Sanyin is based on the five internal organs. The six-menstrual syndrome basically summarizes the lesions of the viscera and the twelve meridians. It can be combined with the syndrome differentiation of the organs, the syndrome of the meridians, and the syndrome differentiation of the eight classes. The final diagnosis is concluded, that is, the viscera of the problem and the cold, heat, and imbalance of the meridians. There will also be corresponding data sheets to provide support here.

The cloud computing platform 200 calculates and analyzes, is transparent to the user, does not need to understand the analysis process, and directly gives a corresponding treatment plan according to the diagnosis result. First of all, the theory of Chinese medicine is complicated, and the users do not need to master them one by one. Secondly, Chinese medicine emphasizes “the whole concept” and “dialectical treatment”. The user's physical problems may mainly come from a certain viscera, but the symptoms may be in other parts; or if there is concurrent Symptoms, other organs may be damaged together, clinically there will be various phenomena, according to the specific circumstances of syndrome differentiation; In addition, according to the principles of the five elements of traditional Chinese medicine, sometimes the treatment may not be ill, or in the child, or in The mother; at the same time the overall conditioning of the entire body. Therefore, the diagnosis process is transparent to the user and the treatment plan is directly given.

The treatment plan is based on the diagnosis of the problem, the organ is the main treatment object, and according to the theory of the five elements of Chinese medicine, the relevant organs are treated.

According to the law of the five elements of "synchronization", the treatment principles of "virtual supplements to their mothers, but in fact diarrhea" are proposed, including: the method of nourishing water and culvert, the method of supplementing soil by fire, the method of cultivating soil and water, and the method of cultivating earth and gold; The principle of "phase grams", the treatment principles are: the soil management method, the wood support method, the diarrhea south method, the Zuojin Pingmu method.

The main treatment methods are other treatment methods such as Chinese medicine massage, cupping, scraping and so on. Compared with the internal treatment method, it has the same effect of “the same way, the same right, the same thing”, and “the person who refuses to take the medicine can not take the medicine”, especially for the critical illness, it can show the uniqueness of its treatment, so there is “Liang Ding (高明The doctor) does not abolish the external treatment. The meridians are all over the body, and the internal organs are internal organs, and the external organs are connected. The internal and external communication is carried out. The tissues and organs of the human body are linked into an organic whole. The blood and blood are used to maintain the coordination of the functional activities of various parts of the human body. Relatively balanced. Therefore, starting from the viscera and meridians for treatment, fully in line with the "holistic concept" of Chinese medicine. The passage of meridians and yin and yang is the essence of traditional Chinese medicine. Practice has proved that its therapeutic effect is also significant.

The third step is to receive the diagnosis result. The external treatment method uses virtual reality technology to assist the treatment, including: 1. Displaying the type of external treatment, acupressure, scraping, cupping, etc.; the user recommends according to his own condition and its weight, and chooses the right one for himself. External treatment. 2, display the specific location, convenient for the user to accurately locate; 3, display specific methods of operation, such as the method and strength of massage, the angle and number of scraping, the method of cupping in a timely manner;

The virtual reality technology demonstration treatment program is a unique innovation of the invention, and has very important value significance for the practice and promotion of Chinese medicine. The core is to present the treatment plan to the user in the form of virtual reality, so that the user can follow the demonstration and practice Chinese medicine treatment step by step, so that everyone who does not understand Chinese medicine can apply Chinese medicine in daily life. Practice Chinese medicine, use Chinese medicine theory to prevent diseases, treat diseases, and maintain health care. There will also be a series of database tables, which are database tables that correspond to the dynamic demonstration of the virtual reality.

Virtual reality technology is an immersive interactive virtual environment generated by computer, which integrates the senses of sight, hearing, smell, touch, force and movement. Its biggest advantage is the combination of human-computer interaction technology and simulation technology to simulate the interactive experience functions of external treatment methods, such as massage techniques and strength, scraping angle, cupping methods. Using human-machine communication technology, force feedback technology, and sensing technology to output simulation operations, users can experience therapeutic effects and find a suitable diagnosis and treatment mode. At the same time, digital devices and position trackers can be used to capture the dynamic information of human hands to simulate treatment operations. A series of algorithm transformations are shown to the virtual hand. The system determines whether the user's technique is correct or not, which can increase the user's participation, and is more conducive to the user's learning and external treatment.

Virtual reality technology utilizes the real human body meridian acupoint dataset, uses information technology, dynamic environment modeling technology, real-time three-dimensional graphics generation technology, and real-time establishes a set of human body computer models for each person's customized meridian acupoint digital stereoscopic display. Each acupoint of the meridian has a three-dimensional three-dimensional positioning. Under three-dimensional conditions, the meridian crosses the muscle layer of the skin, connects with the associated organs, and surrounds the skeletal system to construct a three-dimensional meridian model. And the use of external equipment and sensor technology, enabling users to learn and accurately find their own points in the virtual environment.

Virtual reality technology combines text, graphics, images, sounds and animations organically, presenting treatments to users in all directions and at multiple angles. Multi-sensory stimulation of users can be applied to a wider variety of different groups; The treatment generates interest and enthusiasm, and is willing to practice and develop the independent health care ability of inquiry; at the same time, the user can predict the treatment plan in advance, can fully prepare the body and mind before treatment, and help to improve the treatment effect; The therapist performs his or her own treatment plan according to the dynamic demonstration, and the treatment effect will be better based on the trust acceptance. If user privacy is involved, the user can learn the treatment themselves. Virtual reality technology can not only reproduce the real environment, but also use offline simulation technology to conceive events that have not occurred or are unlikely to occur. It also has a good display of disease evolution, prediction and prevention, and can increase users' attention to health. degree.

The virtual reality technology demonstration treatment plan can also be widely used in medical education. Accurate acupoints, clear picture, strong stereoscopic effect, easy to distinguish, can view the position of meridians and acupoints from any angle and random angle of view, especially convenient for the study and understanding of meridians and acupoints, and have great significance for practical teaching and clinical treatment of traditional Chinese medicine meridians. Practical value.

The fourth step is to feedback the therapeutic effect, including: 1. If the patient feels good about himself and the doctor diagnoses the curative effect, the diagnosis result and the treatment method are stored in the effective instance database, and also stored in the user's own medical library as a medical record. data. 2, each time the user's diagnosis and treatment, the satisfactory and valid data are stored in their own medical treatment library, forming their own medical treatment data set, the cloud computing platform can analyze and calculate it, find the user's own health rules, and form an exclusive diagnosis and treatment plan library for individual users. 3. If the user is not satisfied, the physician uses other methods to diagnose and treat the patient. You can also start a round of treatments until the user finds a suitable treatment plan and really solves the problem and benefits healthily.

The fifth step is to improve the diagnostic algorithm regularly to improve the accuracy of the diagnosis.

Compared with traditional medical services, the present invention has the following advantages:

(1) Adopt traditional Chinese medicine methods and fully consider individual differences. By objectively measuring the user's pulse data, the overall syndrome differentiation treatment has a standardized process;

(2) Analyze data using a cloud computing platform and use consistent diagnostic criteria to obtain consistent diagnostic results;

(3) Using virtual reality technology to provide three-dimensional multi-level dynamic visual presentation, helping users to accurately locate and accurately treat, in line with the knowledge structure of Chinese medicine standardization.

Based on the content of the invention, the user can detect through the standard process, the initial conditions are consistent, and the quantitative diagnosis result is conveniently obtained; and the most effective treatment method can be determined according to the big data and the intelligent standard recommendation scheme, and therefore, for some diseases Treatment and prevention play a positive role.

The above is only the embodiment of the present invention, and is not intended to limit the scope of the invention, and the equivalent structure or equivalent process transformations made by the description of the invention and the drawings are directly or indirectly applied to other related technologies. The fields are all included in the scope of patent protection of the present invention.

Claims (20)

1. A traditional Chinese medicine pulse-assisted diagnosis system based on a cloud computing platform, characterized in that the system comprises:

   a data collection system, configured to collect user data, and upload the user data to a cloud computing platform, where the user data includes at least pulse data of the user;

   a cloud computing platform, configured to form a diagnosis result according to the user data, and further form a treatment plan based on the diagnosis result;

   A presentation system for presenting the diagnostic result and/or the treatment protocol.
2. The system of claim 1 wherein said data collection system detects said pulse data with a pulse meter.
3. The system of claim 2 wherein said pulse diagnosing device is operative to measure 6 pulse data of a user's left and right hand.
4. The system according to claim 1, wherein said user data further comprises basic information of said user and medical data of said user, wherein said basic information includes said user's name, age, height, At least one of body weight, medical history, and allergy history, the questionnaire data is obtained by the cloud computing platform through the data collection system as a dynamic questionnaire.
5. The system according to claim 1, wherein the cloud computing platform is provided with a valid case library, and the valid case library collects a plurality of valid cases, each valid case includes a pulse data sample and a corresponding one. a sample of the diagnosis result and a sample of the treatment plan, the cloud computing platform matching the pulse data of the user with the pulse data sample of the valid case, and if there is a pulse data sample with the same or similarity greater than a preset threshold, corresponding The diagnostic result sample and the treatment plan sample are directly or adjusted as the diagnosis result and treatment plan of the user.
6. The system according to claim 5, wherein the cloud computing platform further generates an intelligent diagnosis algorithm by performing data mining on valid cases in the valid case library, when there is no identical or similarity greater than a preset threshold The pulse data sample is generated by the intelligent diagnosis algorithm according to the pulse data of the user or the pulse data of the user and the pulse data sample of the valid case to generate a diagnosis result and a treatment plan of the user.
7. The system of claim 6 wherein said data collection system further obtains an evaluation of the therapeutic effect of said treatment regimen and compares said treatment regimen as valid with said corresponding pulse data and diagnosis As a result, the valid case library is collected as an effective case, or the treatment plan whose evaluation is invalid is adjusted.
8. The system of claim 7, wherein said evaluating comprises subjective evaluation of said user's therapeutic effect on said treatment regimen and objective assessment after diagnosis or detection.
9. The system according to claim 1, wherein said cloud computing platform assigns said user a unique identification mark and a personal inquiry database associated with said unique identification mark, said personal inquiry database being used for storing The pulse data of the user at different times, the diagnosis result, the treatment plan, and an evaluation for the treatment plan are described.
10. The system according to claim 9, wherein said cloud computing platform further combines said existing pulse data and said corresponding diagnosis result, said treatment plan, and evaluation of said treatment plan, The current pulse data is analyzed to obtain a diagnosis result and a treatment plan corresponding to the current pulse data.
11. The system of claim 10, said treatment protocol comprising at least two sub-therapeutic protocols, said cloud computing platform assigning different weights to said sub-therapeutic regimen, wherein said treatment regimen comprises for different organs a sub-therapeutic protocol, the cloud computing platform assigning different weights to the sub-therapeutic scheme according to the diagnostic results and the five-line theory.
12. The system of claim 11 wherein said cloud computing platform assigns different weights to said child treatment regimen based on at least one of a user's age, constitution, needs, and evaluation of said treatment regimen.
13. The system of claim 1 wherein said presentation system presents said treatment regime in a virtual reality manner.
14. The system of claim 13 wherein said treatment protocol comprises an external treatment protocol, said presentation system presenting a standard mode of operation of said external treatment protocol in a virtual reality manner.
15. The system of claim 14 wherein said data collection system further obtains an actual mode of operation of said user during implementation of said treatment protocol, said cloud computing platform further comparing said standard operations The correction information is further presented by the presentation system in a manner and the actual mode of operation.
16. The system according to claim 14, wherein the presentation system presents a human body model in a virtual reality manner, and displays a work area, a function, a force and a function of the external treatment plan on the human body model. At least one or a combination of durations.
17. The system of claim 14 wherein said data collection system further obtains a physical profile of said user, said rendering system generating said human body model based on said physical characteristics of said user.
18. A traditional Chinese medicine pulse-assisted diagnosis method based on a cloud computing platform, characterized in that the method comprises:

    Collecting user data and uploading to a cloud computing platform, the user data including at least pulse data of the user;

    Forming a diagnosis result based on the user data, and further forming a treatment plan based on the diagnosis result;

    The diagnostic result and/or the treatment regimen is presented.
19. The method according to claim 18, wherein said forming a diagnosis result based on said user data further comprises:

    Determine whether there are similar cases in the valid case base;

    If there are similar cases, directly output the diagnosis results and treatment plans of similar cases;

    If there is no similar case, the diagnosis result and the new treatment plan of the user are generated by an intelligent diagnosis algorithm.
20. The method according to claim 19, wherein the generating the diagnosis result and the new treatment plan of the user by using an intelligent diagnosis algorithm if the similar case does not exist further comprises:

    Receiving feedback from the user performing the new case treatment plan;

    If the feedback is good, the new case treatment plan is added to the case library;

    If the feedback is not effective, determine whether there is a measurement deviation;

    Re-measure if there is a measurement deviation;

    If there is no measurement deviation, leave it to the doctor for diagnosis.