CN114847888B - Meridian detection pathological analysis method and system based on big data - Google Patents
Meridian detection pathological analysis method and system based on big data Download PDFInfo
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Abstract
The application discloses a meridian detection pathological analysis method and system based on big data, which belong to the field of data processing, and the method comprises the following steps: the method comprises the steps of obtaining user information, matching in a detection item parameter database according to the user information, determining detection item parameters, determining positions of detection acupuncture points and detection control parameters, carrying out micro-volt detection on a user through a micro-current detection probe, obtaining micro-volt detection information, constructing a user detection information topological structure, carrying out meridian state analysis on micro-volt detection information of all the detection acupuncture points in a topological connection relation, determining meridian state information, carrying out data comparison in a detection data comparison list, determining a user detection comparison result, and generating pathological analysis reference information. The technical problems that the channel and collateral state information cannot be accurately determined and reliable pathological analysis is provided are solved. The technical effects of improving the accuracy of analyzing the meridian state and providing accurate and efficient analysis results for the health state of the user are achieved.
Description
Technical Field
The application relates to the field of data processing, in particular to a meridian detection pathological analysis method and system based on big data.
Background
With the rapid development of economy, the living standard of people is continuously improved, and the health consciousness is also continuously improved. In traditional Chinese medicine, the human body is an organic whole with five zang organs as the center and connected together through meridians and collaterals, and the zang-fu organs are connected with the body and the various aspects of physiology and pathology of various tissues and organs by mutual influence.
Currently, the meridians are the channels for the organ systems of the zang-fu organs to transmit information, each zang-fu organ has a corresponding meridian, and the relationship between zang-fu organs is also realized through meridians. The meridians and collaterals corresponding to the five zang-organs and six fu-organs in the human body have 12 normal meridians which are intersected vertically and horizontally and spread all over the body, and each meridian corresponds to a different acupuncture point.
However, since the meridian states corresponding to different pathologies are different, pathological judgment is made by analyzing the meridian state of the user, pathological analysis is performed only by the knowledge of the doctor, and inaccurate judgment is easily caused, thereby causing the consequence of error in diagnosis. The technical problems that after meridian detection, the meridian state information cannot be accurately determined and reliable pathological analysis is provided exist.
Disclosure of Invention
The application aims to provide a meridian detection pathological analysis method and system based on big data, and the method and system are used for solving the technical problems that after meridian detection is carried out, meridian state information cannot be accurately determined and reliable pathological analysis is provided in the prior art.
In view of the above problems, the present application provides a meridian detection pathological analysis method and system based on big data.
In a first aspect, the present application provides a meridian detection pathological analysis method based on big data, wherein the method is applied to a meridian detection pathological device, the device comprises a micro-current detection probe, and the method comprises the following steps: acquiring user information, wherein the user information comprises user basic information and detection requirement information; matching in a detection project parameter database based on the user basic information and the detection demand information to determine a detection project parameter; determining a detection acupuncture point position and a detection control parameter according to the detection item parameters, and carrying out micro-photovoltaic detection on a user through a micro-current detection probe based on the detection acupuncture point position and the detection control parameter to obtain micro-photovoltaic detection information; constructing a user detection information topological structure according to the detected acupuncture point positions and the micro-photovoltaic detection information; analyzing the channel state of the micro-photovoltaic detection information of each detected acupoint in the topological connection relation based on the user detection information topological structure, and determining channel state information; and performing data comparison in a detection data comparison list according to the meridian state information, determining a user detection comparison result, and generating pathological analysis reference information based on the user detection comparison result.
In another aspect, the present application further provides a meridian detection and pathology analysis system based on big data, wherein the system includes: the system comprises a user information obtaining module, a detection module and a processing module, wherein the user information obtaining module is used for obtaining user information, and the user information comprises user basic information and detection requirement information; the matching module is used for matching in a detection project parameter database based on the user basic information and the detection demand information to determine a detection project parameter; the micro-volt detection module is used for determining the positions of detected acupuncture points and detection control parameters according to the detection item parameters, and carrying out micro-volt detection on the user through a micro-current detection probe based on the positions of the detected acupuncture points and the detection control parameters to obtain micro-volt detection information; the information structure construction module is used for constructing a user detection information topological structure according to the detection acupuncture point positions and the micro-photovoltaic detection information; the meridian analysis module is used for analyzing meridian states of the micro-photovoltaic detection information of all detected acupuncture points in the topological connection relation based on the user detection information topological structure and determining meridian state information; the reference information generation module is used for carrying out data comparison in a detection data comparison list according to the meridian state information, determining a user detection comparison result and generating pathological analysis reference information based on the user detection comparison result.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
this application is through obtaining user information, user information includes user basic information, detect demand information, then match the detection project parameter that corresponds in detecting project parameter database, and then confirm to detect the acupuncture point position, detect control parameter, then based on detecting the acupuncture point position, detect control parameter, carry out little volt detection to the user through little current detection probe, obtain little volt detection information, and then establish user detection information topological structure, little volt detection information according to each detection acupuncture point in the topological connection relation carries out main and collateral channels state analysis, confirm main and collateral channels state information, then carry out data comparison in the comparison list of detection data according to main and collateral channels state information, confirm user detection comparison result, obtain pathological analysis reference information. The technical effect of improving the accuracy of detection data analysis by constructing the association of the meridian detection data so as to provide accurate pathological analysis results for users is achieved.
Drawings
In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only exemplary, and for those skilled in the art, other drawings can be obtained according to the provided drawings without inventive effort.
Fig. 1 is a schematic flowchart of a meridian detection pathology analysis method based on big data according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart illustrating the determination of the positions of the detected acupuncture points and the detection of control parameters in the meridian detection pathological analysis method based on big data according to the embodiment of the present application;
FIG. 3 is a schematic flow chart illustrating a process of determining meridian status information in a meridian detection pathological analysis method based on big data according to an embodiment of the present disclosure;
FIG. 4 is a schematic structural diagram of a meridian detection and pathology analysis system based on big data according to the present application;
description of reference numerals: the system comprises a user information obtaining module 11, a matching module 12, a micro-photovoltaic detection module 13, an information structure constructing module 14, a meridian analysis module 15 and a reference information generating module 16.
Detailed Description
The application provides a meridian detection pathological analysis method and system based on big data, and solves the technical problems that in the prior art, after meridian detection is carried out, meridian state information cannot be accurately determined, and reliable pathological analysis is provided. The technical effects of improving the accuracy of analyzing the meridian state and providing accurate and efficient analysis results for the health state of the user are achieved.
According to the technical scheme, the data acquisition, storage, use, processing and the like meet relevant regulations of national laws and regulations.
In the following, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings, and it is to be understood that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments of the present application, and it is to be understood that the present application is not limited by the example embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application. It should be further noted that, for the convenience of description, only some but not all of the elements relevant to the present application are shown in the drawings.
Example one
As shown in fig. 1, the present application provides a meridian detection pathological analysis method based on big data, wherein the method is applied to a meridian detection pathological apparatus including a micro-current detection probe, the method including:
step S100: acquiring user information, wherein the user information comprises user basic information and detection requirement information;
specifically, the user information is information reflecting the personal characteristics of the person to be detected, and is used for providing personalized detection services. Wherein, the user basic information is information reflecting the user's own basic condition, including: age, sex, occupation, native place, height, weight, pulse, blood pressure, etc. The detection requirement information reflects the use purpose, physical condition and the like of the user, and comprises the following steps: abnormal parts, routine detection, special detection, etc. By acquiring the detection requirement information of the user and combining the basic situation of the user, the aim of acquiring basic data is fulfilled, and the technical effect of providing basic data and reference basis for subsequent further detection is achieved.
Step S200: matching in a detection project parameter database based on the user basic information and the detection demand information to determine a detection project parameter;
specifically, the inspection item parameter database is a database including all inspection items and corresponding parameters, and includes: the method comprises the following steps of detecting items corresponding to different requirements, detecting acupuncture points corresponding to different detecting items, detecting whether the acupuncture points are detected at the same time, detecting duration of micro-current, pulse speed and intensity of the micro-current and the like. And obtaining the personal physical quality condition of the user according to the user basic information, and obtaining the user detection purpose according to the detection requirement, thereby matching the detection items in the detection item parameter database and the corresponding item parameters. Wherein the detection item parameters are parameters reflecting the intensity, time and range of the detection item. Optionally, the method comprises the steps of micro-current detection duration, acupoint position detection number, acupoint position detection and the like. By matching the corresponding detection items according to the personal conditions and requirements of the user, the aim of personalized customized detection can be achieved, and the technical effects of matching the detection items according to the user and improving the detection accuracy are achieved.
Step S300: determining the positions of the detected acupuncture points and detection control parameters according to the detection project parameters, and carrying out micro-photovoltaic detection on the user through a micro-current detection probe based on the positions of the detected acupuncture points and the detection control parameters to obtain micro-photovoltaic detection information;
further, as shown in fig. 2, the detection acupoint position and the detection control parameter are determined according to the detection item parameter, and the micro-photovoltaic detection is performed on the user through the micro-current detection probe based on the detection acupoint position and the detection control parameter, so as to obtain the micro-photovoltaic detection information, in the step S300 of the embodiment of the present application, the method includes:
step S310: constructing a detection information processing module, wherein the detection information processing module comprises a data acquisition unit, a parameter verification unit and a data storage unit;
step S320: acquiring acupuncture point data according to the positions of the detected acupuncture points through the micro-current detection probe to obtain preliminary acupuncture point acquisition information, and transmitting the preliminary acupuncture point acquisition information to the data acquisition unit;
step S330: the data acquisition unit carries out acupuncture point position positioning and acquisition data extraction on the preliminary acupuncture point acquisition information to obtain acupuncture point position positioning information and data acquisition information, and the obtained acupuncture point position positioning information and data acquisition information are transmitted to the parameter verification unit;
step S340: the parameter verification unit determines acupoint micro-photovoltaic characteristics according to the detected acupoint positions, performs characteristic verification on the acupoint position positioning information and the data acquisition information based on the acupoint micro-photovoltaic characteristics, and determines a parameter verification result;
step S350: and when the parameter verification result is that the verification is qualified, the acupuncture point position positioning and data acquisition information is sent to the data storage unit for storage, wherein the stored data comprises the detected acupuncture point position, the acupuncture point position positioning information and the data acquisition information.
Further, after determining the parameter verification result, step S340 in this embodiment of the present application further includes:
step S341: and when the parameter verification result is unqualified, sending reminding information, and generating position guide information according to the acupuncture point position positioning information and the detected acupuncture point position, wherein the position guide information is used for being guided to the correct detected acupuncture point position through path display.
Specifically, the detected acupuncture point positions are positions corresponding to acupuncture points to be detected on the body during meridian detection, and the acupuncture point positions are determined according to the physical condition of the user. The detection control parameters are parameters corresponding to each item detection in the actual detection process and are determined according to the detection item parameters, and the detection control parameters comprise: the micro-current detection time, the micro-current pulse intensity, the micro-current pulse speed and the like. The micro-current detection probe is used for detecting bioelectricity signals emitted by body acupuncture points of a user, and micro-voltage detection information is obtained by analyzing and processing the bioelectricity signals. Wherein the micro-volt detection information comprises: current information, voltage information, instantaneous voltage, instantaneous current, etc.
Specifically, the detection information processing module is a module for collecting, analyzing, verifying and storing data information, and includes: the device comprises a data acquisition unit, a parameter verification unit and a data storage unit. The data acquisition unit is used for collecting information acquired by the micro-current detection probe and transmitting the information to the parameter verification unit. The parameter verification unit is used for verifying the obtained data and judging whether the acquired acupuncture point information is correct or not. The data storage unit is used for storing correct detection acupuncture point positions, acupuncture point position positioning information and data acquisition information.
Specifically, the preliminary acupoint acquisition information is acupoint micro-photovoltaic information detected by a micro-current detection probe for detecting acupoints, and includes: voltage information and current information of acupuncture points, instantaneous voltage, instantaneous current, resistance and the like. And transmitting the preliminary acupoint acquisition information to the data acquisition unit in real time, and extracting information to obtain the acupoint position positioning information and the data acquisition information. The acupuncture point position positioning information comprises specific positions of acupuncture points on the body of a user, and the data acquisition information is a voltage change curve and a current change curve. The voltage change curve reflects the biological voltage change of the acupuncture points in the detection time period, and the current change curve reflects the biological current change of the acupuncture points in the detection time period. The acupoint microvoltage characteristic is that the microvoltage condition of an acupoint to be detected is determined according to the detected acupoint position, and mainly comprises the following steps: acupoint current, acupoint voltage, acupoint resistance, etc. And verifying whether the voltage and the current in the data acquisition information accord with the micro-volt characteristics according to the micro-volt characteristics of the acupuncture points, thereby obtaining a parameter verification result. The parameter verification result reflects whether the acquired parameters accord with the characteristics of the acupuncture points to be detected.
Specifically, the reminding information is used for reminding the detector that the detected acupuncture points are incorrect. The position guide information is used for displaying a path from the acupoint position positioning information to the detected acupoint position on a display screen. Therefore, the aim of verifying the collected acupuncture points is achieved, the accuracy of acupuncture point detection is improved, and the technical effect of providing accurate analysis data for subsequent meridian analysis is achieved.
Further, step S350 in the embodiment of the present application further includes:
step S351: acquiring historical detection information of a user;
step S352: analyzing a detection period according to the historical detection information of the user to determine the influence of the detection period;
step S353: obtaining current detection time information, carrying out detection period matching according to the current detection time information, and determining whether the current detection time has detection period influence;
step S354: when the micro-photovoltaic detection information exists, marking the current micro-photovoltaic detection information, and determining detection adjustment time according to the influence of the detection period;
step S355: and detecting based on the detection adjusting time to obtain cycle time detection information, correcting the current micro-photovoltaic detection information based on the cycle time detection information, and determining final micro-photovoltaic detection information.
Specifically, as the physical condition of the user is changed continuously due to the movement of the user, the bioelectricity of the acupuncture points detected by the microvoltage detection at different time points can be influenced. For the users who frequently detect and have periodic detection data, the historical detection information of the users can be obtained, the detection data in the detection period is analyzed, the influence degree of different detection time on the detection result is obtained, and then the influence of the detection period is obtained. And matching the detection period according to the current detection time information to obtain whether the current detection time is in the time influencing the detection result. If so, marking the current micro-volt detection information to indicate that the current detection information has errors. And selecting time with small influence on the detection result for detection according to the influence of the detection period to obtain the detection adjustment time. And then, correcting the current micro-photovoltaic detection information according to a detection result obtained by detection under the detection adjustment time, namely the cycle time detection information, so as to obtain the final micro-photovoltaic detection information. Therefore, the method realizes the aim of correcting the detection result by considering the influence of the detection time on the detection result, and achieves the technical effect of improving the accuracy of the detection information.
Step S400: constructing a user detection information topological structure according to the detected acupuncture point positions and the micro-photovoltaic detection information;
specifically, the positions of the detected acupuncture points are used as nodes, the micro-photovoltaic detection information corresponding to each detected acupuncture point is inserted into the nodes as node information, and a topological structure is constructed according to the positions of the acupuncture points in the whole channels and collaterals of the user, so that the user detection information topological structure capable of reflecting the information condition detected by the user is formed. The technical effects of visualizing the connection relation of the acupuncture points in the detection result and improving the analysis systematization of the detection information are achieved.
Step S500: analyzing the channel state of the micro-photovoltaic detection information of each detected acupoint in the topological connection relation based on the user detection information topological structure, and determining channel state information;
further, as shown in fig. 3, based on the user detection information topology structure, performing meridian state analysis on the microvolt detection information of each detected acupoint in the topological connection relationship to determine meridian state information, where step S500 in this embodiment of the present application further includes:
step S510: extracting the connection relation of acupuncture points according to the topological structure of the user detection information;
step S520: determining detection acupoint information according to the detection item parameters, performing acupoint feature analysis on the detection acupoint information, and determining acupoint feature information, wherein the acupoint feature information comprises acupoint micro-volt detection features, acupoint meridian information and acupoint viscera corresponding relations;
step S530: analyzing the relevance of the acupuncture points based on the connection relation of the acupuncture points and the characteristic information of the acupuncture points, combining the relevant acupuncture points and determining a group of relevant acupuncture points;
step S540: carrying out anomaly analysis on the micro-photovoltaic detection information of each acupoint in the group according to the associated acupoint group, and judging whether each acupoint anomaly analysis has isotropy;
step S550: if so, determining the channel and collateral state information corresponding to the associated acupoint group according to the abnormal analysis result of each acupoint in the group.
Further, according to the associated group of acupuncture points, abnormal analysis is performed on the microvolt detection information of each acupuncture point in the group, and whether the abnormal analysis of each acupuncture point has a syntropy is determined, in this embodiment, step S540 includes:
step S541: extracting corresponding relations of the acupuncture points and viscera according to the associated acupuncture point groups to construct an acupuncture point-viscera relation list;
step S542: carrying out anomaly analysis on the micro-photovoltaic detection information of each acupuncture point based on the current detection characteristics of each acupuncture point to determine an abnormal acupuncture point;
step S543: and performing synchronization analysis of the same-viscera acupuncture point abnormality according to the acupuncture point-viscera relation list and the abnormal acupuncture points, wherein if the same-viscera acupuncture point abnormality is the same, the same tropism is satisfied, and if the same-viscera acupuncture point abnormality is different, the same tropism is not satisfied.
Specifically, the acupoint connection relationship is information reflecting the degree of association between the detected acupoints. The acupoint characteristic information is information reflecting the detection condition of the detected acupoints, the application of the detected acupoints in meridians and corresponding conditions of viscera. Wherein, the related acupoint group is the acupoint combination which is related and mutually influenced in the meridians and collaterals. And analyzing abnormal conditions in the micro-volt detection information of the multiple acupuncture points in the group by taking the associated acupuncture point group as a unit, and analyzing whether the abnormal conditions have the same expression or not. If the abnormal analysis has the same direction, the corresponding meridian state information can be obtained according to the abnormal analysis result.
Specifically, the acupoint-zang-fu relationship list is a corresponding relationship list between the acupoints in the associated acupoint group and the affected zang-fu organs. Analyzing whether the same zang-fu organ points are abnormal and if the same zang-fu organ points are abnormal, indicating that the zang-fu organs are abnormal, then satisfying the tropism. Wherein, the tropism indicates that the abnormal conditions of the acupuncture points in the associated acupuncture point group point to the same viscera. Therefore, the technical effects of analyzing the association state among the acupuncture points, improving the accuracy of abnormal pointing of the acupuncture points and improving the accuracy of meridian analysis are achieved.
Further, the apparatus further includes a thermal sensing probe and an acoustic sensing probe, and step S550 in the embodiment of the present application includes:
step S551: detecting according to the positions of the detected acupuncture points by the heat sensing probe and the sound sensing probe respectively to obtain acupuncture point heat detection information and acupuncture point sound detection information;
step S552: constructing a multi-dimensional detection set according to the micro-photovoltaic detection information, the acupuncture point thermal detection information and the acupuncture point sound detection information, carrying out isotropy analysis on the multi-dimensional detection set, and if the isotropy is met, determining the channel and collateral state information according to the micro-photovoltaic detection information, the acupuncture point thermal detection information and the acupuncture point sound detection information;
step S553: if not, based on the acupoint characteristics of the detected acupoint position, carrying out influence probability analysis on the micro-photovoltaic detection information, the acupoint heat detection information and the acupoint sound detection information, and determining the influence probability of each detection information;
step S554: and performing state probability calculation on the multi-dimensional detection set according to the influence probability to obtain a probability value of the channel state, and determining channel state information according to the probability value of the channel state.
Specifically, the heat sensing probe is used for detecting heat of acupuncture points of a user. The sound sensing probe is used for carrying out sound wave detection on acupuncture points of a user. The acupuncture point heat detection information comprises temperature information, and the acupuncture point sound detection information comprises sound wave amplitude, sound wave frequency and the like. And analyzing the detection information in the multi-dimensional detection set, and analyzing whether the abnormal conditions in the information have the same direction or not. Mutual verification is carried out through detection of three dimensions of heat, sound and electricity, the isotropy information is met, and the meridian state information can be obtained. According to the acupoint characteristics of the detected acupoint positions, the influence conditions of the acupoints on sound, light and electricity can be obtained, and therefore the influence probabilities of the acupoints can be analyzed. Preferably, the micro-photovoltaic detection information, the acupuncture point thermal detection information and the acupuncture point acoustic detection information are distributed by using the influence probability as a weight distribution value, and the state probability is calculated to obtain the most likely meridian state information reflected by the multi-dimensional detection set. Therefore, the technical effects of comprehensively judging by using the multi-dimensional data and improving the accuracy of analysis are achieved.
Step S600: and performing data comparison in a detection data comparison list according to the meridian state information, determining a user detection comparison result, and generating pathological analysis reference information based on the user detection comparison result.
Specifically, the comparison list of the detected data includes the meridian status and the corresponding pathological condition. And the user detection comparison result is a matching result in the list according to the meridian state of the user. The pathological analysis reference information is a physical condition reflected by the meridian state of the user. Therefore, the technical effect of improving the analysis accuracy by acquiring and verifying the meridian information is achieved.
In summary, the meridian detection pathological analysis method based on big data provided by the present application has the following technical effects:
1. according to the method, the user basic information and the detection demand information are obtained by a user, corresponding detection project parameters are matched in a detection project parameter database, the positions of detected acupuncture points are determined, control parameters are detected, then micro-volt detection is carried out on the user through a micro-current detection probe, micro-volt detection information is obtained, a user detection information topological structure is constructed according to the positions of the detected acupuncture points and the micro-volt detection information, then meridian state analysis is carried out on the micro-volt detection information of all the detected acupuncture points in a topological connection relation, meridian state information is determined, data comparison is carried out in a detection data comparison list, the user detection comparison result is determined, and then pathological analysis reference information is obtained. The technical effects of providing personalized and targeted services for the user and improving the detection accuracy are achieved.
2. This application carries out acupuncture point data acquisition according to detecting the acupuncture point position through little current test probe, obtains preliminary acupuncture point collecting information, carries out acupuncture point position location, collection data extraction to preliminary acupuncture point collecting information through the data acquisition unit, then confirms the little photovoltaic characteristic of acupuncture point according to detecting the acupuncture point position through parameter verification unit, based on the little photovoltaic characteristic of acupuncture point to acupuncture point position location information data acquisition information carries out the feature verification, confirms parameter verification result, works as parameter verification result is for verifying when qualified, with acupuncture point position location, data acquisition information transmission to the data storage unit and save. Therefore, the technical effects of improving the accuracy of acupoint detection and providing accurate analysis data for subsequent meridian analysis are achieved.
Example two
Based on the same inventive concept as the meridian detection pathological analysis method based on the big data in the foregoing embodiment, as shown in fig. 4, the present application further provides a meridian detection pathological analysis system based on the big data, wherein the system includes:
the system comprises a user information obtaining module 11, a user information obtaining module 11 and a detection module, wherein the user information obtaining module 11 is used for obtaining user information, and the user information comprises user basic information and detection requirement information;
the matching module 12 is configured to match the user basic information and the detection requirement information in a detection item parameter database to determine a detection item parameter;
the micro-volt detection module 13 is used for determining the positions of the detected acupuncture points and detection control parameters according to the detection project parameters, and performing micro-volt detection on the user through a micro-current detection probe based on the positions of the detected acupuncture points and the detection control parameters to obtain micro-volt detection information;
an information structure construction module 14, wherein the information structure construction module 14 is configured to construct a user detection information topology structure according to the detected acupoint positions and the microvolt detection information;
a meridian analysis module 15, wherein the meridian analysis module 15 is configured to perform meridian state analysis on the micro-photovoltaic detection information of each detected acupoint in a topological connection relationship based on the user detection information topology structure, and determine meridian state information;
a reference information generating module 16, where the reference information generating module 16 is configured to perform data comparison in a detection data comparison list according to the meridian state information, determine a user detection comparison result, and generate pathological analysis reference information based on the user detection comparison result.
Further, the system further comprises:
the module construction unit is used for constructing a detection information processing module, and the detection information processing module comprises a data acquisition unit, a parameter verification unit and a data storage unit;
the acquisition unit is used for acquiring acupuncture point data according to the positions of the detected acupuncture points through the micro-current detection probe to obtain preliminary acupuncture point acquisition information and transmitting the preliminary acupuncture point acquisition information to the data acquisition unit;
the information acquisition unit is used for carrying out acupuncture point position positioning and acquisition data extraction on the preliminary acupuncture point acquisition information by the data acquisition unit to obtain acupuncture point position positioning information and data acquisition information, and transmitting the information to the parameter verification unit;
the characteristic verification unit is used for determining the acupoint micro-photovoltaic characteristic according to the detected acupoint position by the parameter verification unit, performing characteristic verification on the acupoint position positioning information and the data acquisition information based on the acupoint micro-photovoltaic characteristic and determining a parameter verification result;
and the storage unit is used for sending the acupuncture point position positioning and data acquisition information to the data storage unit for storage when the parameter verification result is that the parameter verification result is qualified, wherein the storage data comprises the detected acupuncture point position, the acupuncture point position positioning information and the data acquisition information.
Further, the system further comprises:
and the position guide information generating unit is used for sending reminding information when the parameter verification result is unqualified, and generating position guide information according to the acupuncture point position positioning information and the detected acupuncture point position, wherein the position guide information is used for guiding to the correct detected acupuncture point position through path display.
Further, the system further comprises:
the relation extraction unit is used for extracting the connection relation of acupuncture points according to the topological structure of the user detection information;
the characteristic analysis unit is used for determining detected acupuncture point information according to the detection project parameters, performing acupuncture point characteristic analysis on the detected acupuncture point information and determining acupuncture point characteristic information, wherein the acupuncture point characteristic information comprises acupuncture point micro-volt detection characteristics, acupuncture point meridian information and acupuncture point viscera corresponding relations;
an acupoint analysis unit, which is used for carrying out acupoint relevance analysis based on the acupoint connection relation and the acupoint characteristic information, carrying out relevant acupoint combination and determining a relevant acupoint group;
the abnormality analysis unit is used for carrying out abnormality analysis on the micro-photovoltaic detection information of each acupuncture point in the group according to the associated acupuncture point group and judging whether the abnormality analysis of each acupuncture point has the same direction;
and the meridian state determining unit is used for determining meridian state information corresponding to the associated acupoint group according to the abnormal analysis result of each acupoint in the group if the meridian state determining unit meets the requirement.
Further, the system further comprises:
the relation list construction unit is used for extracting the corresponding relation between the acupuncture points and viscera according to the associated acupuncture point groups to construct an acupuncture point-viscera relation list;
an abnormal acupoint determination unit for performing abnormal analysis on the microvolt detection information of each acupoint based on current detection characteristics of each acupoint to determine abnormal acupoints;
and an abnormal synchronism analysis unit for performing abnormal synchronism analysis of the same-viscera acupuncture points according to the acupuncture point-viscera relation list and the abnormal acupuncture points, wherein when the same-viscera acupuncture points are the same in abnormality, the same-viscera acupuncture points satisfy the same tropism, and when the same-viscera acupuncture points are different in abnormality, the same-viscera acupuncture points do not satisfy the same tropism.
Further, the system further comprises:
a history information obtaining unit configured to obtain user history detection information;
a period analysis unit for performing detection period analysis according to the user history detection information and determining detection period influence;
the period matching unit is used for obtaining current detection time information, carrying out detection period matching according to the current detection time information and determining whether the current detection time has detection period influence or not;
the adjustment time determining unit is used for marking the current micro-photovoltaic detection information when the micro-photovoltaic detection information exists, and determining the detection adjustment time according to the influence of the detection period;
and the correcting unit is used for detecting based on the detection adjusting time to obtain cycle time detection information, correcting the current micro-photovoltaic detection information based on the cycle time detection information, and determining final micro-photovoltaic detection information.
Further, the system further comprises:
the detection information obtaining unit is used for detecting according to the positions of the detected acupuncture points by the heat sensing probe and the sound sensing probe respectively to obtain acupuncture point heat detection information and acupuncture point sound detection information;
a syntropism analysis unit, configured to construct a multi-dimensional detection set according to the microvolt detection information, the acupoint heat detection information, and the acupoint sound detection information, perform syntropism analysis on the multi-dimensional detection set, and if the syntropism is satisfied, determine the meridian state information according to the microvolt detection information, the acupoint heat detection information, and the acupoint sound detection information;
the probability analysis unit is used for carrying out influence probability analysis on the micro-photovoltaic detection information, the acupuncture point heat detection information and the acupuncture point sound detection information based on the acupuncture point characteristics of the detected acupuncture point positions if the micro-photovoltaic detection information, the acupuncture point heat detection information and the acupuncture point sound detection information are not satisfied, and determining influence probability of each piece of detection information;
and the state determining unit is used for calculating the state probability of the multi-dimensional detection set according to the influence probability, obtaining the probability value of the meridian state, and determining the meridian state information according to the probability value of the meridian state.
In the present specification, each embodiment is described in a progressive manner, and the focus of the description of each embodiment is different from that of the other embodiments, the meridian detection pathological analysis method based on big data in the first embodiment of fig. 1 and the specific example are also applicable to the meridian detection pathological analysis system based on big data in the present embodiment, and through the foregoing detailed description of the meridian detection pathological analysis method based on big data, those skilled in the art can clearly know the meridian detection pathological analysis system based on big data in the present embodiment, so for the brevity of the description, detailed description is not repeated here. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (1)
1. A meridian detection and pathology analysis system based on big data, the system comprising:
the system comprises a user information obtaining module, a detection module and a display module, wherein the user information obtaining module is used for obtaining user information, and the user information comprises user basic information and detection requirement information;
the matching module is used for matching in a detection project parameter database based on the user basic information and the detection demand information to determine a detection project parameter;
the micro-volt detection module is used for determining the positions of detected acupuncture points and detection control parameters according to the detection item parameters, and carrying out micro-volt detection on the user through a micro-current detection probe based on the positions of the detected acupuncture points and the detection control parameters to obtain micro-volt detection information;
the module construction unit is used for constructing a detection information processing module, and the detection information processing module comprises a data acquisition unit, a parameter verification unit and a data storage unit;
the acquisition unit is used for acquiring acupuncture point data according to the positions of the detected acupuncture points through the micro-current detection probe to obtain preliminary acupuncture point acquisition information and transmitting the preliminary acupuncture point acquisition information to the data acquisition unit;
the information acquisition unit is used for carrying out acupuncture point position positioning and acquisition data extraction on the preliminary acupuncture point acquisition information by the data acquisition unit to obtain acupuncture point position positioning information and data acquisition information, and transmitting the information to the parameter verification unit;
the characteristic verification unit is used for determining the acupoint micro-photovoltaic characteristic according to the detected acupoint position by the parameter verification unit, performing characteristic verification on the acupoint position positioning information and the data acquisition information based on the acupoint micro-photovoltaic characteristic and determining a parameter verification result;
the storage unit is used for sending the acupuncture point position positioning and data acquisition information to the data storage unit for storage when the parameter verification result is that the parameter verification is qualified, wherein the storage data comprises the detected acupuncture point position, the acupuncture point position positioning information and the data acquisition information;
the position guide information generating unit is used for sending reminding information when the parameter verification result is unqualified, and generating position guide information according to the acupuncture point position positioning information and the detected acupuncture point position, wherein the position guide information is used for guiding to the correct detected acupuncture point position through path display;
a history information obtaining unit configured to obtain user history detection information;
the period analysis unit is used for carrying out detection period analysis according to the user history detection information and determining the influence of the detection period;
the period matching unit is used for obtaining current detection time information, carrying out detection period matching according to the current detection time information and determining whether the current detection time has detection period influence or not;
the adjustment time determining unit is used for marking the current micro-photovoltaic detection information when the micro-photovoltaic detection information exists, and determining the detection adjustment time according to the influence of the detection period;
the correcting unit is used for detecting based on the detection adjusting time to obtain cycle time detection information, correcting the current micro-photovoltaic detection information based on the cycle time detection information and determining final micro-photovoltaic detection information;
the information structure construction module is used for constructing a user detection information topological structure according to the detection acupuncture point positions and the micro-photovoltaic detection information, and comprises the following steps: the positions of the detected acupuncture points are used as nodes, the micro-photovoltaic detection information corresponding to each detected acupuncture point is inserted into the nodes as node information, and a topological structure is constructed according to the positions of the acupuncture points in the whole channels and collaterals of the user, so that the user detection information topological structure capable of reflecting the information condition detected by the user is formed;
the meridian analysis module is used for analyzing meridian states of the micro-photovoltaic detection information of all detected acupuncture points in the topological connection relation based on the user detection information topological structure and determining meridian state information;
the detection information acquisition unit is used for detecting according to the positions of the detected acupuncture points by the heat induction probe and the sound induction probe respectively to acquire acupuncture point heat detection information and acupuncture point sound detection information;
the isotropy analysis unit is used for constructing a multi-dimensional detection set according to the micro-volt detection information, the acupuncture point thermal detection information and the acupuncture point sound detection information, carrying out isotropy analysis on the multi-dimensional detection set, and determining the meridian state information according to the micro-volt detection information, the acupuncture point thermal detection information and the acupuncture point sound detection information if the isotropy is met;
the probability analysis unit is used for carrying out influence probability analysis on the micro-photovoltaic detection information, the acupuncture point heat detection information and the acupuncture point sound detection information based on the acupuncture point characteristics of the detected acupuncture point positions if the micro-photovoltaic detection information, the acupuncture point heat detection information and the acupuncture point sound detection information are not satisfied, and determining influence probability of each piece of detection information;
the state determining unit is used for calculating the state probability of the multi-dimensional detection set according to the influence probability to obtain the probability value of the meridian state and determining the meridian state information according to the probability value of the meridian state;
the reference information generation module is used for carrying out data comparison in a detection data comparison list according to the meridian state information, determining a user detection comparison result and generating pathological analysis reference information based on the user detection comparison result.
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