WO2018205249A1 - Method, apparatus and system for analyzing traditional chinese medicine meridian measurement data - Google Patents

Abstract

A method, apparatus and system for analyzing traditional Chinese medicine meridian measurement data. The method comprises: acquiring measurement data obtained by means of a traditional Chinese medicine meridian detector measuring a predetermined acupuncture point of a person, wherein the measurement data includes deficiency and excess condition data, cold and heat condition data and imbalance condition data of the predetermined acupuncture point (S101); and analyzing the measurement data by means of an established comprehensive Bayesian network analysis expert system so as to preliminarily determine a deficiency and excess, cold and heat or unbalance overview of a human viscus (S102). By means of the method, a comprehensive and strictly inferential analysis result can be automatically obtained, so that the analysis result has certain objectivity.

Description

Method, device and system for analyzing TCM meridian measurement data

[Technical Field]

The invention relates to the technical field of medical device data analysis, in particular to a method, device and system for analyzing TCM meridian measurement data.

 【Background technique】

The traditional Chinese medicine meridian detector is a combination of modern science and technology and traditional Chinese medicine meridian theory. It can accurately detect the smoothness of the twelve meridians and provide quantitative indicators and diagnostic basis.

Meridian is a system of running whole body qi and blood, communicating with organs and bureaucracy, communicating the conduction information of the upper and lower sides, and communicating with the internal organs; The TCM Meridian Detector is based on the theory of viscera and meridians of traditional Chinese medicine, combined with modern high-tech electronic technology, using sensors to measure the electrical energy values of twenty-four original points of the body's twelve meridians on the surface of the body, and quantitatively assessing the health of the human body. device. After years of development, it has become a relatively mature TCM meridian-assisted diagnostic test, which has applications in all aspects of clinical care.

The measurement technology of TCM Meridian Detector is becoming more and more perfect, but the technology for diagnosis and analysis of measurement data is not perfect. More often, it is judged according to the experience of experts, which limits the widespread use of meridian detection technology in clinical practice. The existing diagnostic techniques have the following deficiencies: the influence relationship between the values of the meridian test results is not fully considered; the analysis results are not comprehensive, and the possibility of all the diagnosis results cannot be seen; the reasoning process of the diagnosis results is not strict.

 [Summary of the Invention]

The invention provides a method and a system for analyzing the measurement data of traditional Chinese medicine meridians, which can automatically obtain comprehensive and strict reasoning analysis results.

In order to solve the above technical problem, a technical solution adopted by the present invention is to provide a method for analyzing TCM meridian measurement data, the method comprising: obtaining measurement data obtained by measuring a predetermined acupuncture point of a human body by a TCM meridian detector. The measurement data includes virtual reality data of the predetermined acupoint, cold and heat condition data, and imbalance condition data obtained according to the virtual reality data and the cold and heat condition data; and the analysis is performed by an established comprehensive Bayesian network analysis expert system. The data is measured to initially determine the profile of the body's viscera, cold, heat or imbalance.

In order to solve the above technical problem, another technical solution adopted by the present invention is to provide a method for analyzing TCM meridian measurement data, the method comprising: obtaining a measurement obtained by measuring a predetermined acupuncture point of a human body by a TCM meridian detector. Data, the measurement data includes virtual reality data of the predetermined acupoint, cold and heat condition data, and imbalance data obtained according to the virtual reality data and cold and heat condition data; and selecting an established specific category Bayesian network analysis expert system analysis Corresponding to the measurement data of the specific category, an analysis result calculated by reasoning corresponding to the specific category Bayesian network analysis expert system is obtained, wherein the specific category includes a virtual state, a cold state or an imbalance condition of a specific viscera.

In order to solve the above technical problem, another technical solution adopted by the present invention is to provide an apparatus for analyzing TCM meridian measurement data, the device comprising a processor and a memory, wherein the memory stores a program, and the processor uses The program is loaded to perform the steps in the method of any of the above.

In order to solve the above technical problems, a further technical solution adopted by the present invention is to provide a storage device in which a program is stored, the program being adapted to be loaded by a processor and to perform the steps in the method according to any of the above.

In order to solve the above technical problem, another technical solution adopted by the present invention is to provide a system for analyzing TCM meridian measurement data, the system comprising: a TCM meridian detector for measuring a predetermined acupuncture point of a human body, and obtaining measurement data. The measurement data includes virtual reality data of the predetermined acupoint, cold and heat condition data, and imbalance data obtained according to the virtual reality data and cold and heat condition data; and an analysis device for analyzing through the established comprehensive Bayesian network The expert system analyzes the measured data to initially determine the profile of the body's viscera, cold, heat or imbalance.

In order to solve the above technical problem, another technical solution adopted by the present invention is to provide a system for analyzing TCM meridian measurement data, the system comprising: a TCM meridian detector for measuring a predetermined acupuncture point of a human body, and obtaining measurement data. The measurement data includes virtual reality data of the predetermined acupoint, cold and heat condition data, and imbalance condition data obtained according to the virtual reality data and cold and heat condition data; and an analysis device for selecting an established specific category of Bayesian network The analysis expert system analyzes the measurement data corresponding to the specific category, and obtains an analysis result calculated by reasoning corresponding to the specific category Bayesian network analysis expert system, wherein the specific category includes a specific dirty state, a cold state, or an imbalance situation.

The invention has the beneficial effects that the invention obtains the measurement data obtained by measuring the predetermined acupuncture points of the human body by the Chinese medicine meridian detector, and the measurement data includes the virtual reality data of the predetermined acupoints, cold and heat, different from the prior art. Status data and imbalance status data; analyze measurement data through an established comprehensive Bayesian network analysis expert system or a specific category Bayesian network analysis expert system to obtain an overview of the virtual reality, cold heat or imbalance of the human body or corresponding to the specific category The Bayesian network analysis expert system infers the calculated analysis result, wherein the specific category includes a specific dirty state, a cold state or an imbalance condition. Since the measurement data is analyzed by a comprehensive Bayesian network analysis expert system or a specific type of Bayesian network analysis expert system, an overview of the virtual reality, cold heat or imbalance of the human body, or an analysis result calculated by reasoning is obtained, thereby being able to automatically Get comprehensive, rigorously inferred analysis results.

 [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. Other drawings may also be obtained from those of ordinary skill in the art in light of the inventive work. among them:

1 is a flow chart of an embodiment of a method for analyzing TCM meridian measurement data according to the present invention;

2 is a flow chart of another embodiment of a method for analyzing TCM meridian measurement data according to the present invention;

3 is a flow chart of still another embodiment of a method for analyzing TCM meridian measurement data according to the present invention;

4 is a schematic diagram of a complete interface of a comprehensive Bayesian network analysis expert system in the method for analyzing TCM meridian measurement data of the present invention;

5 to 8 are schematic diagrams of interfaces of the upper left portion, the upper right portion, the lower left portion, and the lower right portion of FIG. 4;

9 is a schematic diagram of an interface of liver and gallbladder virtual prior data in the method for analyzing TCM meridian measurement data of the present invention;

10-11 are schematic diagrams of interfaces of two parts of the left and right of FIG. 9;

12 is a schematic diagram showing an interface of an analysis result of a specific patient in a method for analyzing TCM meridian measurement data according to the present invention;

13 to FIG. 14 are schematic diagrams of interfaces of two parts of the left and right of FIG. 12;

15 is a flow chart of still another embodiment of a method for analyzing TCM meridian measurement data according to the present invention;

16 is a schematic structural view of an embodiment of an apparatus for analyzing TCM meridian measurement data according to the present invention;

17 is a flow chart of still another embodiment of a method for analyzing TCM meridian measurement data according to the present invention;

18 is a flow chart of still another embodiment of a method for analyzing TCM meridian measurement data according to the present invention;

19 is a schematic structural view of another embodiment of an apparatus for analyzing TCM meridian measurement data according to the present invention;

20 is a schematic structural view of an embodiment of a system for analyzing TCM meridian measurement data according to the present invention;

21 is a schematic structural view of another embodiment of a system for analyzing TCM meridian measurement data according to the present invention.

【detailed description】

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 departing from the inventive scope are the scope of the present invention.

Referring to FIG. 1, FIG. 1 is a flowchart of an embodiment of a method for analyzing TCM meridian measurement data according to the present invention, the method comprising:

Step S101: Acquire measurement data obtained by measuring a predetermined acupuncture point of the human body by the Chinese medicine meridian detector, and the measurement data includes virtual reality data of the predetermined acupoint, cold and heat condition data, and imbalance data obtained according to the virtual reality data and the cold and heat condition data.

Meridian is the passage of human blood and blood. It is a viscera, which is placed outside the body, and connects various tissues and organs into an organic whole. The meridian, referring to the meridians, is like a straight path, the backbone of the meridian system; the network, referring to the collaterals, like a network, is a small branch of the meridians. Meridians are the general term for meridians and collaterals.

Acupoints, scientific names and acupoints refer to special point areas on the meridian line of the human body. Chinese medicine practitioners can treat diseases by acupuncture or massage, tapping, and Ai Wei to stimulate the corresponding meridian points. The predetermined acupuncture points may be designated acupuncture points, and specifically may be twelve original points. The original point of the twelve classics, referred to as the twelve original. The gas is "injected as a loss" (transport is a five-point hole → well, sputum, loss, meridian, third place), the six yin dynasty has no original point, but the original is the original, that is, the original Yuanyuan of the lung. The original Shenmen of the heart, the original Tai Chong of the liver, the original Taibai of the spleen, the original Taixi of the kidney, the original Daling of the pericardium; the six-Yang Jingjing "the original is the original" point, that is, the gallbladder The original Qiu Hui, the original Chongyang of the stomach, the original Yangchi of the Sanjiao Jing, the original Jinggu of the bladder, the original Hegu of the large intestine, and the original carpal of the small intestine.

TCM Meridian Electronic Detector is the latest high-tech life holographic image localization detector. It is based on the theory of human body meridians of traditional Chinese medicine. It measures the internal organs of the human body through the detection of twelve original acupoints on the left and right sides of the human meridian. Under the conditions of subcutaneous, tissue, and fine cells, observe the health of the entire body.

Regardless of the nature of the disease, it is divided into cold and hot, and there are cold and hot points in both drugs and acupuncture points. Traditional Chinese medicine treats diseases by using the bias of acupoints to regulate the yin and yang of the body, thus balancing the role of yin and yang. A healthy person is a balanced yin and yang, that is, a body of cold and heat balance. If a person is ill, his cold and heat balance will be broken, and it will be cold and cold. Healthy people are true and false, and people only have a real change when they are sick. Falseness and reality are two programs that identify the ups and downs of evil. False refers to lack of righteousness, which means that the evil spirit is substantial. Through the syndrome differentiation of the virtual and the real, you can grasp the situation of the sick and the evil of the sick, and it is clear that the deficiency of the disease depends on the strength of the human body. Positive qi is manifested as a real disease, and lack of righteousness is manifested as a deficiency.

The twelve original points on the left and right sides are bilaterally symmetrical. Under normal circumstances, within the normal measurement error range of the TCM meridian detector, the theoretical measurement data of the twelve original points on the left and right sides are consistent. If within the normal measurement error range of the TCM meridian detector, it is found that the measurement data of the twelve original points on the left and right sides are very different, then the data is the imbalance data. For example, when the patient has a migraine, there will be an imbalance. The imbalance situation includes the imbalance between the real and the real and the imbalance between the cold and the heat.

Step S102: Analyze the measurement data through the established comprehensive Bayesian network analysis expert system to initially determine the virtual reality, cold heat or imbalance of the human body.

The Bayesian network is a probabilistic network, which is a graphical network based on probabilistic reasoning, and the Bayesian formula is the basis of this probabilistic network. Bayesian network is a mathematical model based on probabilistic reasoning. The so-called probabilistic reasoning is the process of obtaining other probability information through the information of some variables. Bayesian network based on probabilistic reasoning (Bayesian Network) is proposed to solve the problem of uncertainty and incompleteness. It has great advantages for solving the faults caused by complex equipment uncertainty and correlation, and is widely used in many fields.

A Bayesian network is a directed acyclic graph (Directed Acyclic) Graph, DAG), consisting of representing variable nodes and connecting directed edges of these nodes. The nodes represent random variables, and the directed edges between the nodes represent the mutual relationship between the nodes (pointed by the parent node to their child nodes), and the conditional probability is used to express the relationship strength. No parent node uses the prior probability to express the information. Node variables can be abstractions of any problem, such as test values, observations, comments, and so on. Applicable to the expression and analysis of uncertain and probabilistic events, applied to decisions that are conditionally dependent on multiple control factors, and can be reasoned from incomplete, inaccurate or uncertain knowledge or information.

In the present embodiment, a comprehensive Bayesian network analysis expert system includes the measurement data of the twenty-four passages corresponding to the twelve original points on the left and right sides, the preliminary inferred and dirty analysis results, but no inference of the dirty concrete The extent of illness, therefore, can only initially determine the profile of the body's viscera, cold, heat or imbalance.

The embodiment of the present invention obtains measurement data obtained by measuring a predetermined acupuncture point of a human body by a Chinese medicine meridian detector, and the measurement data includes virtual reality data, cold and heat condition data, and imbalance condition data of the predetermined acupoint; The Yesi network analysis expert system analyzes the measurement data to initially determine the profile of the human body's viscera, cold, heat or imbalance. Since the comprehensive Bayesian network analysis expert system analyzes the measurement data and initially determines the virtual reality, cold heat or imbalance of the human body, in this way, comprehensive and strict reasoning analysis results can be automatically obtained, so that the analysis results have certain objectivity.

Wherein, referring to FIG. 2, before step S101, the method further includes:

Step S103: Construct and train a comprehensive Bayesian network analysis expert system.

The construction of a Bayesian network is a complex task that requires the involvement of knowledge engineers and domain experts. In practice, it may be repeated and repeated and continuously improved. First, the factors affecting people's illnesses are classified, for example, virtual reality, cold and heat, etc., and then Bayesian network models are built for each factor type. Usually people are caused by one or several reasons, which may be caused by one or more further levels. Based on these established node relationships of the network, probability estimation is also required. The specific method is to assume that the conditional probability of each node of the cause is estimated in the case where a certain cause occurs, and the method of localized probability estimation can greatly improve the efficiency.

Using a Bayesian network must know the probability of correlation between states. The process of getting these parameters is called training. Training Bayesian networks requires some known data. These known data are case data of patients with known diagnostic results that can reflect the actual patient's condition. By inputting these new case data into the Bayesian network model, the practical comprehensive Bayesian network analysis expert system meaningful to this application is truly obtained.

Wherein, referring to FIG. 3, after step S102, the method may further include:

Step S104: selecting an established specific category Bayesian network analysis expert system according to the initially determined profile of the virtual reality, cold heat or imbalance of the human body, further analyzing the measurement data corresponding to the specific category, and obtaining the corresponding specific category Bayesian network analysis expert. The system infers the calculated analysis results, wherein the specific categories include the actual state of the dirty state, the cold state or the imbalance condition.

The preliminary determination of the virtual reality, cold heat or imbalance of the human body, indicating which problem occurs in which of the organs, can also give the probability of the occurrence of specific problems of the human body. Selecting a specific category Bayesian network analysis expert system can determine the probability of a specific visceral specific problem occurring.

Among them, the connection relationship in the comprehensive Bayesian network analysis expert system or the specific category Bayesian network analysis expert system is connected through the five-line relationship of the basic theory of Chinese medicine.

Taking the problem of viscera and phlegm as an example, the factors considered for diagnosis are the nodes in the figure, including: gender, age, measurement data of the 12 original points on the left and right sides, and finally the calculated virtual reality of the meridians. Specific information: gender is divided into two categories for men and women; age is divided into six categories, from 0 to 120, divided into one category every 20; the original point virtual reality is divided into three categories according to the measured data: lower than the average (Low Value), Normal Value, and High Value.

Referring to FIG. 4, FIG. 4 is a schematic diagram of a complete interface of a comprehensive Bayesian network analysis expert system in the method for analyzing TCM meridian measurement data of the present invention. Since the text of the complete picture is too small to be clearly seen, the complete picture is divided into upper and lower sides. The four partial maps, as shown in Fig. 5-8, are the upper left part (Fig. 5), the upper right part (Fig. 6), the lower left part (Fig. 7), and the lower right part (Fig. 8). According to the comprehensive Bayesian network analysis expert system, it is possible to find out which problem has occurred in the viscera, such as the deficiency of the stomach, the evidence of the small intestine, etc., and also how much the probability of the patient is the stomach syndrome, how big is the Probability is evidence of small intestine.

When targeting a specific category, the diagnosis results are the actual situation of each meridian, divided into two categories, the probability of occurrence and the probability of not occurring. Taking the diagnosis of hepatobiliary tract as an example, the measurement data that have an effect on the diagnosis of liver disease, in addition to the liver and the gallbladder, there are also the relationship between the lung and the large intestine, and the relationship between the kidney and the bladder. By analogy, each specific type of Bayesian network analysis expert system is established, as shown in Figure 9. Figure 9 shows the interface of a priori data, which is based on the statistics of all previous diagnostic cases, due to the complete interface text. Too small to see clearly, divide the complete interface into two parts, as shown in Figure 10-11. Based on this specific category of Bayesian network analysis expert system, the patient's information is input and the diagnosis result is obtained. In this example, the patient is a female, aged between 60 and 80 years old. The measured data of the left and right liver, gallbladder, lung, large intestine, kidney and bladder are shown in Figure 12, due to the complete interface text. Too small to see clearly, divide the complete interface into two parts, as shown in Figure 13-14. After inputting the above information, the analysis of the inference calculation can obtain the diagnosis result. The probability of liver deficiency syndrome is 42%, the probability of liver syndrome is 78%, the probability of biliary deficiency syndrome is 87%, and the probability of biliary syndrome is 39%. It can be inferred from the diagnosis that the patient's liver is an evidence and the gallbladder is a deficiency.

Wherein, referring to FIG. 15, after step S104 (other steps before S104 are omitted in the figure), the method further includes:

Step S201: Acquiring the manual analysis result of the human body; according to the traditional diagnosis method, the expert can manually analyze and obtain the manual analysis result.

Step S202: judging whether the accuracy of the analysis result calculated by the specific category Bayesian network analysis expert system satisfies the predetermined requirement according to the manual analysis result of the human body;

The predetermined requirement refers to the acceptable degree of the difference between the artificial analysis result of the human body and the analysis result calculated by the specific category Bayesian network analysis expert system. This can be determined based on the requirements for the accuracy of a particular class of Bayesian network analysis expert systems.

Step S203: if the predetermined requirement is met, save the information related to the analysis result calculated by the specific category Bayesian network analysis expert system to the database, and update the parameters of the specific category Bayesian network analysis expert system;

If the predetermined request is not satisfied, the process returns to step S101. Re-measure the data of the predetermined acupoints carefully and adjust them by expert analysis until the diagnosis meets the predetermined requirements.

Referring to FIG. 16, FIG. 16 is a schematic structural diagram of an apparatus for analyzing TCM meridian measurement data according to the present invention. The device includes a processor 1 and a memory 2, and the memory 2 stores a program, and the processor 1 is used for loading. The program is to perform the steps in the corresponding method of any of the above. For details of related content, please refer to the corresponding method section above, which will not be described here.

The present invention also provides a storage device in which is stored a program adapted to be loaded by a processor and to perform the steps in the corresponding method of any of the above. For details of related content, please refer to the corresponding method section above, which will not be described here.

Referring to FIG. 17, FIG. 17 is a flowchart of still another embodiment of a method for analyzing traditional Chinese medicine meridian measurement data according to the present invention. It should be noted that the content of the present embodiment similar to the above method is referred to the above method part, and is no longer赘 。. The method includes:

Step S301: Acquire measurement data obtained by measuring a predetermined acupuncture point of the human body by the Chinese medicine meridian detector, the measurement data includes the virtual reality data of the predetermined acupoint, the cold and heat condition data, and the imbalance condition data obtained according to the virtual reality data and the cold and heat condition data;

Step S302: Selecting an established specific category Bayesian network analysis expert system to analyze the measurement data corresponding to the specific category, and obtain the analysis result calculated by the inference of the specific category Bayesian network analysis expert system, wherein the specific category includes the specific dirty state. False conditions, cold or thermal conditions or imbalances.

The specific category of Bayesian network analysis expert system is a Bayesian network analysis expert system for specific dirty and real conditions, cold and heat conditions or imbalance conditions, which can infer the calculated analysis results of each viscera.

The embodiment of the present invention obtains measurement data obtained by measuring a predetermined acupuncture point of a human body by a Chinese medicine meridian detector, and the measurement data includes virtual reality data, cold and heat condition data, and imbalance condition data of a predetermined acupoint; and selecting a specific category of bay leaves that have been established The network analysis expert system analyzes the measurement data corresponding to a specific category, and obtains the analysis result calculated by the inference of the specific category Bayesian network analysis expert system, wherein the specific category includes the actual state of the dirty state, the cold state or the imbalance condition. Since the measurement data is analyzed by a specific type of Bayesian network analysis expert system to determine the virtual reality, cold heat or imbalance of the human body, in this way, comprehensive and rigorous reasoning analysis results can be automatically obtained, so that the analysis results have certain objectivity.

Wherein, referring to FIG. 18, before step S302, the method may further include:

Step S303: analyzing the measurement data by using a comprehensive Bayesian network analysis expert system to initially determine an overview of the virtual reality, cold heat or imbalance of the human body;

At this time, the step S302 may specifically include: selecting an established specific category Bayesian network analysis expert system according to the initially determined profile of the virtual reality, the cold heat or the imbalance of the human body, further analyzing the measurement data corresponding to the specific category, and obtaining the corresponding specific category. The Bayesian network analysis expert system infers the calculated analysis results.

After a comprehensive Bayesian network analysis expert system is used to initially determine the virtual reality, cold heat or imbalance of the human body, the specific category of Bayesian network analysis expert system corresponding to the problematic viscera can be selected to further analyze the corresponding measurement. Data for more detailed and accurate analysis results.

Wherein, the method further comprises:

Obtaining the results of manual analysis of the human body;

According to the artificial analysis result of the human body, it is judged whether the accuracy of the analysis result calculated by the specific category Bayesian network analysis expert system satisfies the predetermined requirement;

If the predetermined requirement is met, the information related to the analysis result calculated by the specific category Bayesian network analysis expert system is saved to the database, and the parameters of the specific category Bayesian network analysis expert system are updated;

If the predetermined requirement is not met, return to the step of obtaining measurement data obtained by measuring the predetermined acupuncture points of the human body by the Chinese medicine meridian detector.

Among them, the connection relationship in the comprehensive Bayesian network analysis expert system or the specific category Bayesian network analysis expert system is connected through the five-line relationship of the basic theory of Chinese medicine.

Before the step of obtaining the measurement data obtained by measuring the predetermined acupuncture points of the human body by the Chinese medicine meridian detector, the method further comprises: constructing and training a specific category Bayesian network analysis expert system.

Referring to FIG. 19, FIG. 19 is a schematic structural diagram of another embodiment of an apparatus for analyzing TCM meridian measurement data according to the present invention. The device includes a processor 3 and a memory 4, wherein the memory 4 stores a program, and the processor 3 is used for The program is loaded to perform the steps in the corresponding method of any of the above. For details of related content, please refer to the corresponding method section above, which will not be described here.

The present invention also provides a storage device in which is stored a program adapted to be loaded by a processor and to perform the steps in the corresponding method of any of the above. For details of related content, please refer to the corresponding method section above, which will not be described here.

Referring to FIG. 20, FIG. 20 is a schematic structural diagram of an embodiment of a system for analyzing TCM meridian measurement data according to the present invention. It should be noted that the system of the embodiment can perform the steps in the corresponding method, and the detailed description of the related content is provided. See the above method section for details. The system includes: a Chinese medicine meridian detector 101 and an analysis device 102.

The Chinese medicine meridian detector 101 is used for measuring a predetermined acupuncture point of the human body, and obtaining measurement data, the measurement data including the virtual reality data of the predetermined acupoint, the cold and heat condition data, and the imbalance condition data obtained according to the virtual reality data and the cold and heat condition data;

The analysis device 102 is configured to analyze the measurement data through an established comprehensive Bayesian network analysis expert system to initially determine an overview of the virtual, cold, or unbalanced human viscera.

In the embodiment of the present invention, the TCM meridian detector measures a predetermined acupuncture point of the human body, and obtains measurement data, the measurement data includes the virtual reality data, the cold and heat condition data, and the imbalance condition data of the predetermined acupoint; and the established comprehensive Bayesian network analysis The expert system analyzes the measurement data to initially determine the profile of the body's viscera, cold, heat or imbalance. Since the comprehensive Bayesian network analysis expert system analyzes the measurement data and initially determines the virtual reality, cold heat or imbalance of the human body, in this way, comprehensive and strict reasoning analysis results can be automatically obtained, so that the analysis results have certain objectivity.

The analysis device 102 is further configured to select an established specific category Bayesian network analysis expert system to further analyze the measurement data corresponding to the specific category according to the initially determined profile of the virtual reality, the cold heat or the imbalance of the human body, and obtain the corresponding specific category. The Bayesian network analysis expert system infers the calculated analysis result, wherein the specific category includes a specific dirty state, a cold state or an imbalance condition.

The analysis device 102 is further configured to obtain a manual analysis result of the human body; and according to the manual analysis result of the human body, determine whether the accuracy of the analysis result calculated by the specific category Bayesian network analysis expert system satisfies the predetermined requirement;

At this time, the system further includes a database for storing information related to the analysis result calculated by the specific category Bayesian network analysis expert system when the predetermined requirement is met, and transmitting an instruction to facilitate the analysis device 102 to update the specific The parameters of the category Bayesian network analysis expert system;

If the predetermined requirements are not met, return to the TCM Meridian Detector, re-measure the predetermined acupuncture points of the human body, and obtain measurement data.

Among them, the connection relationship in the comprehensive Bayesian network analysis expert system or the specific category Bayesian network analysis expert system is connected through the five-line relationship of the basic theory of Chinese medicine.

The analysis device 102 is also used to construct and train a comprehensive Bayesian network analysis expert system.

Wherein, the predetermined acupoint is a twelve original acupoint.

Referring to FIG. 21, FIG. 21 is a schematic structural diagram of another embodiment of a system for analyzing traditional Chinese medicine meridian measurement data according to the present invention. It should be noted that the system of the embodiment may perform the steps in the corresponding method, and the related content is detailed. Please refer to the above method section for details. The system includes: a Chinese medicine meridian detector 201 and an analysis device 202.

The Chinese medicine meridian detector 201 is used for measuring a predetermined acupuncture point of the human body, and obtaining measurement data, the measurement data includes the virtual reality data of the predetermined acupoint, the cold and heat condition data, and the imbalance condition data obtained according to the virtual reality data and the cold and heat condition data;

The analyzing device 202 is configured to select an established specific category Bayesian network analysis expert system to analyze the measurement data corresponding to the specific category, and obtain the analysis result calculated by the inference of the specific category Bayesian network analysis expert system, wherein the specific category includes specific Dirty conditions, cold or thermal conditions or imbalances.

The embodiment of the invention measures the predetermined acupuncture points of the human body by the Chinese medicine meridian detector, and obtains measurement data, the measurement data includes the virtual reality data, the cold and heat condition data and the imbalance status data of the predetermined acupoints; and the selected specific category Bayesian network analysis is selected. The expert system analyzes the measurement data corresponding to a specific category, and obtains the analysis result calculated by the specific category Bayesian network analysis expert system, wherein the specific category includes the actual state of the dirty state, the cold state or the imbalance condition. Since the measurement data is analyzed by a specific type of Bayesian network analysis expert system to determine the virtual reality, cold heat or imbalance of the human body, in this way, comprehensive and rigorous reasoning analysis results can be automatically obtained, so that the analysis results have certain objectivity.

The analysis device 202 is further configured to analyze the measurement data through a comprehensive Bayesian network analysis expert system to initially determine the virtual reality, cold heat or imbalance of the human body; according to the preliminary determination of the virtual reality, cold heat or imbalance of the human body Selecting the established specific category Bayesian network analysis expert system to further analyze the measurement data corresponding to the specific category, and obtain the analysis result calculated by the specific category Bayesian network analysis expert system, wherein the specific category includes the specific viscera The actual situation, the cold or the thermal condition or the imbalance.

The analysis device 202 is further configured to obtain a manual analysis result of the human body; and according to the manual analysis result of the human body, determine whether the accuracy of the analysis result calculated by the specific category Bayesian network analysis expert system satisfies the predetermined requirement;

At this time, the system further includes a database for saving information related to the analysis result calculated by the specific category Bayesian network analysis expert system when the predetermined requirement is met, and transmitting an instruction to facilitate the analysis device 202 to update the specific The parameters of the category Bayesian network analysis expert system;

When the predetermined requirements are not met, return to the TCM Meridian Detector, re-measure the predetermined acupuncture points of the human body, and obtain measurement data.

Among them, the connection relationship in the comprehensive Bayesian network analysis expert system or the specific category Bayesian network analysis expert system is connected through the five-line relationship of the basic theory of Chinese medicine.

The analysis device 202 is also used to construct and train a specific category Bayesian network analysis expert system. Among them, the predetermined acupuncture points are twelve original points.

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 (28)

1. A method for analyzing TCM meridian measurement data, characterized in that the method comprises:

   Obtaining measurement data obtained by measuring a predetermined acupuncture point of the human body by the Chinese medicine meridian detector, the measurement data including the virtual reality data of the predetermined acupoint, the cold and heat condition data, and the imbalance obtained according to the virtual reality data and the cold and heat condition data data;

   The measured data is analyzed by an established comprehensive Bayesian network analysis expert system to initially determine an overview of the virtual, cold, or unbalanced human viscera.
2. The method according to claim 1, wherein said step of analyzing said measurement data by an established comprehensive Bayesian network analysis expert system to initially determine a profile of human body viscera, such as falsehood, cold heat or imbalance, Also includes:

   Selecting an established specific category Bayesian network analysis expert system to further analyze the measurement data corresponding to the specific category according to the initially determined profile of the virtual reality, cold heat or imbalance of the human body, obtaining the corresponding specific category The Yes network analysis expert system infers the calculated analysis results, wherein the specific category includes the actual state of the dirty state, the cold state or the imbalance condition.
3. The method of claim 2, wherein the method further comprises:

   Obtaining a manual analysis result of the human body;

   Determining, according to the manual analysis result of the human body, whether the accuracy of the analysis result calculated by the specific category Bayesian network analysis expert system satisfies a predetermined requirement;

   If the predetermined requirement is met, saving information related to the analysis result calculated by the specific category Bayesian network analysis expert system to the database, and updating parameters of the specific category Bayesian network analysis expert system;

   If the predetermined requirement is not met, returning to the step of acquiring measurement data obtained by measuring a predetermined acupuncture point of the human body by the Chinese medicine meridian detector.
4. The method according to claim 1 or 2, wherein the connection relationship in the comprehensive Bayesian network analysis expert system or the specific category Bayesian network analysis expert system is through the five elements of the basic theory of Chinese medicine Relationship to connect.
5. The method according to claim 1, wherein the step of acquiring the measurement data obtained by measuring the predetermined acupuncture points of the human body by the Chinese medicine meridian detector further comprises:

   The comprehensive Bayesian network analysis expert system is constructed and trained.
6. A method according to any one of claims 1 to 5, wherein said predetermined acupuncture points are twelve original acupoints.
7. A method for analyzing TCM meridian measurement data, characterized in that the method comprises:

   Obtaining measurement data obtained by measuring a predetermined acupuncture point of the human body by the Chinese medicine meridian detector, the measurement data including the virtual reality data of the predetermined acupoint, the cold and heat condition data, and the imbalance obtained according to the virtual reality data and the cold and heat condition data data;

   Selecting an established specific category Bayesian network analysis expert system to analyze the measurement data corresponding to the specific category, and obtain an analysis result calculated by reasoning corresponding to the specific category Bayesian network analysis expert system, wherein the specific Categories include specific visceral conditions, cold or thermal conditions, or imbalances.
8. The method according to claim 7, wherein said selecting an established specific category Bayesian network analysis expert system analyzes said measurement data corresponding to said specific category to obtain a Bayesian network corresponding to said specific category Before the steps of the analytical expert system reasoning the calculated analysis results, include:

   The measurement data is analyzed by a comprehensive Bayesian network analysis expert system to initially determine an overview of the virtual reality, cold heat or imbalance of the human body;

   Selecting the established specific category Bayesian network analysis expert system to analyze the measurement data corresponding to the specific category, and obtaining a step corresponding to the analysis result calculated by the specific category Bayesian network analysis expert system, including :

   Selecting an established specific category Bayesian network analysis expert system to further analyze the measurement data corresponding to the specific category according to the initially determined profile of the virtual reality, cold heat or imbalance of the human body, obtaining the corresponding specific category The analysis results calculated by the Yesi network analysis expert system.
9. The method of claim 7, wherein the method further comprises:

   Obtaining a manual analysis result of the human body;

   Determining, according to the manual analysis result of the human body, whether the accuracy of the analysis result calculated by the specific category Bayesian network analysis expert system satisfies a predetermined requirement;

   If the predetermined requirement is met, saving information related to the analysis result calculated by the specific category Bayesian network analysis expert system to the database, and updating parameters of the specific category Bayesian network analysis expert system;

   If the predetermined requirement is not met, returning to the step of acquiring measurement data obtained by measuring a predetermined acupuncture point of the human body by the Chinese medicine meridian detector.
10. The method according to claim 7 or 8, wherein the connection relationship in the comprehensive Bayesian network analysis expert system or the specific category Bayesian network analysis expert system is through the five elements of the basic theory of Chinese medicine Relationship to connect.
11. The method according to claim 7, wherein the step of obtaining the measurement data obtained by measuring the predetermined acupuncture points of the human body by the TCM Meridian Detector further comprises:

    The specific category Bayesian network analysis expert system is constructed and trained.
12. A method according to any one of claims 7-11, wherein said predetermined acupuncture points are twelve original acupoints.
13. An apparatus for analyzing TCM meridian measurement data, the device comprising a processor and a memory, wherein the memory stores a program, and the processor is configured to load the program to perform according to claims 1-6 The steps of any of the methods described.
14. A storage device having stored therein a program, wherein the program is adapted to be loaded by a processor and to perform the steps of the method of any of claims 1-6.
15. An apparatus for analyzing TCM meridian measurement data, the device comprising a processor and a memory, wherein the memory stores a program, the processor is configured to load the program to perform according to claims 7-12 The steps of any of the methods described.
16. A storage device in which a program is stored, characterized in that the program is adapted to be loaded by a processor and to perform the steps in the method of any one of claims 7-12.
17. A system for analyzing TCM meridian measurement data, characterized in that the system comprises:

    a traditional Chinese medicine meridian detector for measuring a predetermined acupuncture point of the human body, and obtaining measurement data, the measurement data including virtual reality data of the predetermined acupoint, cold and heat condition data, and imbalance data obtained according to the virtual reality data and the cold and heat condition data ;

    The analysis device is configured to analyze the measurement data through an established comprehensive Bayesian network analysis expert system to initially determine an overview of the virtual reality, cold heat or imbalance of the human body.
18. The system of claim 17 wherein said analyzing device is further configured to:

    Selecting an established specific category Bayesian network analysis expert system to further analyze the measurement data corresponding to the specific category according to the initially determined profile of the virtual reality, cold heat or imbalance of the human body viscera, and obtaining the specific category of Bayesian The network analysis expert system infers the calculated analysis result, wherein the specific category includes a specific dirty state, a cold state, or an imbalance condition.
19. The system of claim 18 wherein:

    The analyzing device is further configured to obtain a manual analysis result of the human body; and according to the manual analysis result of the human body, determine whether the accuracy of the analysis result calculated by the specific category Bayesian network analysis expert system satisfies a predetermined requirement ;

    The system also includes a database for storing information related to the analysis result calculated by the specific category Bayesian network analysis expert system when the predetermined requirement is met, and transmitting an instruction to facilitate the The analyzing device updates parameters of the specific category Bayesian network analysis expert system;

    If the predetermined requirement is not met, return to the TCM Meridian Detector, re-measure the predetermined acupuncture point of the human body, and obtain measurement data.
20. The system according to claim 17 or 18, wherein the connection relationship in the comprehensive Bayesian network analysis expert system or the specific category Bayesian network analysis expert system is through the five elements of the basic theory of Chinese medicine Relationship to connect.
21. The system of claim 17 wherein:

    The analysis device is also used to construct and train the comprehensive Bayesian network analysis expert system.
22. A system according to any one of claims 17 to 21, wherein said predetermined acupuncture points are twelve original acupoints.
23. A system for analyzing TCM meridian measurement data, characterized in that the system comprises:

    a traditional Chinese medicine meridian detector for measuring a predetermined acupuncture point of the human body, and obtaining measurement data, the measurement data including virtual reality data of the predetermined acupoint, cold and heat condition data, and imbalance data obtained according to the virtual reality data and the cold and heat condition data ;

    An analysis device, configured to select an established specific category Bayesian network analysis expert system to analyze the measurement data corresponding to a specific category, and obtain an analysis result calculated by inference of the specific category Bayesian network analysis expert system, wherein The specific categories include the actual state of the dirty state, the cold and heat condition, or the imbalance condition.
24. A system according to claim 23, wherein

    The analysis device is further configured to analyze the measurement data by a comprehensive Bayesian network analysis expert system to initially determine a virtual reality, cold heat or imbalance of the human body; according to the preliminary determination of the virtual reality, cold heat or imbalance of the human body The profile is selected by the established specific category Bayesian network analysis expert system to further analyze the measurement data corresponding to the specific category, and obtain the analysis result calculated by the specific category Bayesian network analysis expert system.
25. The system of claim 24 wherein:

    The analyzing device is further configured to obtain a manual analysis result of the human body; and according to the manual analysis result of the human body, determine whether the accuracy of the analysis result calculated by the specific category Bayesian network analysis expert system satisfies a predetermined requirement ;

    The system also includes a database for storing information related to the analysis result calculated by the specific category Bayesian network analysis expert system when the predetermined requirement is met, and transmitting an instruction to facilitate the The analyzing device updates parameters of the specific category Bayesian network analysis expert system;

    When the predetermined requirement is not met, the TCM Meridian Detector is returned to re-measure a predetermined acupuncture point of the human body to obtain measurement data.
26. The system according to claim 23 or 24, wherein the connection relationship in the comprehensive Bayesian network analysis expert system or the specific category Bayesian network analysis expert system is through the five elements of the basic theory of Chinese medicine Relationship to connect.
27. The system of claim 23 wherein:

     The analysis device is also used to construct and train the particular class of Bayesian network analysis expert systems.
28. The system of claim 23 wherein said predetermined acupoint is a twelve original acupoint.