CN113229784B - Method and system for evaluating functions of five-organ system in traditional Chinese medicine by far infrared thermal imaging technology - Google Patents
Method and system for evaluating functions of five-organ system in traditional Chinese medicine by far infrared thermal imaging technology Download PDFInfo
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Abstract
The invention discloses a method and a system for evaluating the function of a five-organ system in traditional Chinese medicine by a far infrared thermal imaging technology, wherein the method comprises the following steps: the far infrared image module is used for collecting and storing far infrared images; the far infrared image five-organ system functional state evaluation module is used for comprehensively evaluating the functional state of the five-organ system of the organism according to the regional comparison logic for the collected far infrared images and classifying syndromes of various types according to the Chinese medical visceral syndrome typing standard; the deep learning module is used for carrying out feature extraction and algorithm analysis on the far infrared image through a neural network algorithm model and an expert system method to form an evaluation model; and the automatic evaluation module inputs a far infrared image to be detected into the evaluation model, and the computer analyzes the image characteristics and outputs an evaluation result. The invention combines the far infrared thermal imaging technology and the traditional Chinese medicine viscera function assessment method of computer machine learning, intelligently, comprehensively and systematically assesses the functional state of the five viscera system of the organism, and automatically obtains assessment results.
Description
Technical Field
The invention relates to the field of medicine, in particular to a method and a system for evaluating the functions of a five-organ system in traditional Chinese medicine by a far-infrared thermal imaging technology.
Background
The theory of visceral manifestation is an important tool for the traditional Chinese medicine to study the physiological functions and pathological change rules of human body, and the internal visceral activity rules are explored through the external signs of human body, so as to guide the health preservation and disease prevention and the treatment and rehabilitation of diseases. The theory of the five zang organs functional system formed by taking the heart, the liver, the spleen, the lung and the kidney as the center and connecting six fu organs, meridians and collaterals, body constituents, sense organs and orifices and the like shows the life activity rule and performance of the human body from the perspective of the whole body, and is the core content of the theory of visceral manifestation.
When any part of the five internal organs function system is damaged by pathogenic factors or deficiency of qi, blood, yin and yang, the physiological function of the whole body is inevitably abnormal, and corresponding pathological manifestations, namely 'there is more than one internal organ and more than one external organ' appear. However, due to the complexity and variability of human life activities, the traditional Chinese medicine diagnosis method has higher requirements on the clinical experience of doctors, the diagnosis result often has personal experience and subjectivity, and is difficult to standardize, so that the application scene and range of the traditional Chinese medicine are limited to a certain extent.
Ancient Chinese doctors have recognized that body surface temperature can reflect physiological function and pathological changes of viscera, and thus, it is an objective diagnostic factor. The theory of prime questions Yu machine Zhen zang Lun: "pulse exuberance, skin heat, abdominal distension, obstructed front and back", and stuffiness ", this is called Wu. Thready pulse, cold skin, little qi, before and after excretion of food, which is called five-deficiency, and cold-heat of skin is considered to indicate the deficiency-excess state of viscera. Su Wen & Shi Chuan (plain questions & teacher's biography): stomach heat can eliminate food, cause hunger and skin heat above the umbilicus; the heat in the intestine turns yellow as chyle, and the skin is cold below the umbilicus. Abdominal distension due to cold stomach; the cold in the intestine indicates that the skin cold and heat around the umbilicus are related to the change of gastrointestinal function, i.e. \39143, diarrhea. In clinical diagnosis and treatment, the physician usually determines the disease condition and guides the treatment by the cold and heat of the skin. For example, in the book of jin Kui Yao L ü e: for kidney-attachment diseases, the body is heavy and the waist is intercooled, such as … … gan Jiang Ling Shu Tang in sitting water. Cold waist is one of the diagnostic indicators of kidney diseases and is also the indicator of the medication of gan Jiang Ling Zhu Tang. In addition, meridians are the connecting channels of zang-fu organs, sense organs and orifices, the channels for qi and blood circulation, and the cold and heat of the local skin of limbs can also reflect the nature of pathological changes, as in the theory of differentiation of internal and external injuries: internal injury, improper diet in labor, heart heat of sick hands and no heat of hand backs; exogenous cold may cause heat in the back of the hand and heat in the palm. ".
The far infrared thermal imaging technology is used for displaying the temperature state and the energy metabolism condition of each part of the human body by different colors after receiving a human body thermal radiation signal and processing the signal by a computer. The functional state and abnormal change of the five-organ system can be analyzed by utilizing the characteristics of body surface heat radiation, the diagnosis of traditional Chinese medicine syndromes is assisted, the objectivity and visualization of traditional Chinese medicine syndrome differentiation are realized, the path of cognition of residents on the health state of the residents is increased, and the application value of the traditional Chinese medicine in the strategy of 'healthy China' is expanded.
Far infrared thermography is developed in application of assisting traditional Chinese medicine syndrome diagnosis at present, for example, an infrared thermography of a liver region of a patient with liver qi stagnation shows a visible scattered flaky hot region, nasal regions, stomach regions and large abdomen of a patient with spleen and stomach deficiency and cold are all expressed as low-heat regions, an infrared thermography of a patient with kidney yin deficiency shows that five heart regions and a lumbosacral part are obvious high-heat regions, and an infrared thermography of a patient with spleen yang deficiency is characterized in that a middle-jiao and a lip are both low-temperature regions and have certain correlation.
However, the application of the current far infrared thermal imaging technology in assessing the functional state of the internal organs and assisting the diagnosis and research of the syndrome of traditional Chinese medicine is still limited, which is related to the following factors: firstly, the existing research on the five-organ functional system by the far infrared thermal imaging technology usually focuses on a certain viscera, and the integrity is insufficient; secondly, the existing research on the visceral functions in the far-infrared thermal imaging traditional Chinese medicine mainly focuses on the projection area of the anatomical position in western medicine, or the traditional Chinese medicine theory describes the temperature state of the projection area of the visceral positions, and the systematicness is insufficient, so that the functional state of the five viscera system and the state of the body function bias cannot be comprehensively reflected.
Disclosure of Invention
Aiming at the problems in the prior art, the invention aims to provide a method for evaluating the functions of the five-organ system in traditional Chinese medicine by using a far-infrared thermal imaging technology, which can comprehensively reflect the functional state of the five-organ system and the state of body health bias. Another objective of the present invention is to construct a system for evaluating the function of the five internal organs system in traditional Chinese medicine by using far infrared thermal imaging technology for implementing the method.
In order to achieve the purpose, the method for evaluating the functions of the five internal organs system in the traditional Chinese medicine by the far infrared thermal imaging technology specifically comprises the following steps:
1) Setting a far infrared thermal imaging image observation area: a heart system observation region, a lung system observation region, a liver system observation region, a spleen system observation region, and a kidney system observation region;
2) The Shenque point, mingmen point and Jiquan point are used as comparison areas;
3) Comparing the temperature mean values of the observation area and the comparison area of the heart system, wherein the normal temperature difference interval of the two areas is 0.1-8 ℃;
4) Comparing the temperature mean value of the lung system observation area and the comparison area, wherein the normal temperature difference interval of the two areas is 0.1-5 ℃;
5) Comparing the temperature mean values of the observation area and the comparison area of the liver system, wherein the normal temperature difference interval of the two areas is 0.1-4 ℃;
6) Comparing the temperature mean value of the observation area and the comparison area of the spleen system, wherein the normal temperature difference interval of the two areas is 0.1-4 ℃;
7) Comparing the temperature mean values of the observation area and the comparison area of the kidney system, wherein the normal temperature difference interval of the two areas is 0.1-3 ℃;
8) Corresponding to the same case, extracting visual characteristic values of color, texture and shape of the far infrared thermal imaging image in the step 1) and corresponding to temperature contrast and temperature distribution difference characteristic values and dispersion degree characteristic values in each observation area in the steps 3) to 7) and temperature contrast and temperature distribution difference characteristic values and dispersion degree characteristic values between each observation area and the contrast area by adopting a neural network algorithm model;
9) Obtaining high-order characteristics of temperature data and area boundary data through multi-characteristic fusion, optimizing various temperature contrast threshold values, expected shape boundaries and temperature distribution structures, and obtaining an expert system;
10 Obtaining a whole body infrared image of a case to be detected, performing feature extraction through a neural network algorithm model, and performing syndrome classification identification and preliminary syndrome judgment through an expert system.
Further, the cardiac system observation region includes: the anterior chest area on the left side, the sternum handle area, the area under the umbilicus, the nasion, the forehead, the sea, the supreme yang, the heart acupoints, the small intestine acupoints and the neiguan; giving corresponding weight grade according to the interval range that the temperature difference between the comparison area and the comparison area is smaller than or larger than the normal temperature difference, and prompting by an expert system according to the weight grade: heart qi deficiency/heart yang deficiency/loss of nourishment of heart spirit; or hyperactivity of heart fire/excessive heat in small intestine.
Further, the lung system observation region includes: left precordial region, right precordial region, suprasternal fossa, JUEZHONG, MIANBAO, SHENFENG, TAIYUAN, YANXI, ZUZE, QUTAN, ZHONGFU, FEISHU, and DACHANGSHU; giving corresponding weight grade according to the interval range that the temperature difference between the comparison area and the comparison area is smaller than or larger than the normal temperature difference, and prompting by an expert system according to the weight grade: lung qi deficiency/wind-cold affecting lung/cold-phlegm obstructing lung/small intestine deficiency-cold, or wind-heat attacking lung/phlegm-heat obstructing lung/large intestine damp-heat.
Further, the hepatic system observation region includes: hypochondriac area, abdomen, eyes, zhangmen, qimen, riyue, JIN CONG, GANSHU, and DANSHU; giving corresponding weight grade according to the interval range that the temperature difference between the comparison area and the comparison area is smaller than or larger than the normal temperature difference, and prompting by an expert system according to the weight grade: liver system dysfunction or inhibition such as liver depression and qi stagnation/congealing cold in liver meridian/gallbladder qi deficiency, or liver system hyperactivity or disorder such as liver fire hyperactivity/liver yang hyperactivity/gallbladder stagnation and phlegm disturbance.
Further, the spleen system observation region includes: around the umbilicus, on the cheek, the blood, liangqiu, fu house, daju, pishu, weishu, etc.; according to the interval range that the temperature difference between the comparison area and the comparison area is smaller than or larger than the normal temperature difference value, corresponding weight grades are given to the comparison area, and the expert system prompts according to the weight grades: spleen qi deficiency/spleen yang deficiency/cold-dampness encumbering the spleen/stomach qi deficiency/stomach yang deficiency/cold stagnation in the gastric cavity, or damp-heat accumulation in the spleen/excessive stomach heat/dyspepsia in the gastric cavity.
Further, the renal system observation region includes: anterior pudendum, mandibular part, lumbar region, posterior thigh, mingmen, yaoyangguan, shenshu, and Zaishu; and giving corresponding weight grades to the comparison area according to the temperature difference between the comparison area and the comparison area, wherein the expert system prompts the state of insufficient kidney system functions such as kidney-qi deficiency, kidney-yang deficiency, kidney-qi unconsolidation and the like or the state of hyperfunction or disorder of the kidney system such as kidney-yin deficiency, bladder damp-heat and the like according to the weight grades.
Further, the neural network algorithm model adopts a Convolution neural network, wherein the network layer comprises Convolution constraint, pooling Pooling, activation, residual connection Skip Connect and Drapout.
Further, the expert system comprises region and acupoint temperature comparison, region shape characteristic comparison and temperature distribution characteristic comparison; and optimizing various temperature contrast threshold values, expected shape boundaries and temperature distribution structures of an expert system by utilizing a genetic algorithm and simulated annealing, and evaluating the functional state of the viscera by combining the temperature characteristics and the region boundary information obtained by the convolutional neural network.
A system for evaluating the function of the five internal organs system in traditional Chinese medicine by the far infrared thermal imaging technology for implementing the method comprises the following steps: the system comprises a far infrared image module, a far infrared image five-organ system function evaluation module, a deep learning module and an automatic evaluation module;
the far infrared image module is used for collecting and storing far infrared images;
the far infrared image five-organ system functional state evaluation module is used for comprehensively evaluating the function state of the five-organ system of the organism according to regional comparison logic on the acquired far infrared image and classifying various types of syndromes according to the Chinese medical visceral syndrome typing standard;
the deep learning module is used for carrying out feature extraction and algorithm analysis on the far infrared image through a neural network algorithm model and an expert system method to form an evaluation model;
and the automatic evaluation module inputs a far infrared image to be detected into the evaluation model, and the computer analyzes the image characteristics and outputs an evaluation result.
Further, the system also comprises an image preprocessing module, and the image preprocessing module is used for rendering the image to obtain visual characteristic values of colors, textures and shapes.
The invention combines the far infrared thermal imaging technology and the traditional Chinese medicine viscera function assessment method of computer machine learning, intelligently, comprehensively and systematically assesses the functional state of the five viscera system of the organism, automatically obtains assessment results, and provides technical support for further popularizing the application of the far infrared thermal imaging technology in the traditional Chinese medicine.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a flow chart of an automated evaluation implemented using the method and system of the present invention;
FIG. 3 is a first image of infrared imaging for a method and system for assessing the function of the five viscera system of traditional Chinese medicine based on the far infrared thermography technique of the present invention;
fig. 4 is a second image of infrared imaging of the method and system for assessing the function of the five internal organs in traditional Chinese medicine based on the far infrared thermal imaging technique of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplification of description, but do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood according to specific situations by those of ordinary skill in the art.
The following describes in detail embodiments of the present invention with reference to the drawings. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.
As shown in fig. 1, fig. 2, fig. 3 and fig. 4, the method for evaluating the functions of the five internal organs system in traditional Chinese medicine by the far infrared thermal imaging technology of the present invention specifically comprises:
1) Setting a far infrared thermal imaging image observation area: a cardiac system observation region, a pulmonary system observation region, a hepatic system observation region, a spleen system observation region, and a renal system observation region;
2) The Shenque point, mingmen point and the Jiquan point are used as comparison areas;
3) Comparing the temperature mean values of the observation area and the comparison area of the heart system, wherein the normal temperature difference interval of the two areas is 0.1-8 ℃;
4) Comparing the temperature mean value of the lung system observation area and the comparison area, wherein the normal temperature difference interval of the two areas is 0.1-5 ℃;
5) Comparing the temperature mean values of the observation area and the comparison area of the liver system, wherein the normal temperature difference interval of the two areas is 0.1-4 ℃;
6) Comparing the temperature mean values of the observation area and the comparison area of the spleen system, wherein the normal temperature difference interval of the observation area and the comparison area is 0.1-4 ℃;
7) Comparing the temperature mean value of the observation area and the comparison area of the kidney system, wherein the normal temperature difference interval of the two areas is 0.1-3 ℃;
8) Corresponding to the same case, extracting visual characteristic values of color, texture and shape of the far infrared thermal imaging image in the step 1) and corresponding to temperature contrast and temperature distribution difference characteristic values and dispersion degree characteristic values in each observation area in the steps 3) to 7) and temperature contrast and temperature distribution difference characteristic values and dispersion degree characteristic values between each observation area and the contrast area by adopting a neural network algorithm model;
9) Obtaining high-order characteristics of temperature data and area boundary data through multi-characteristic fusion, optimizing various temperature contrast threshold values, expected shape boundaries and temperature distribution structures, and obtaining an expert system;
10 Obtaining a whole body infrared image of a case to be detected, performing feature extraction through a neural network algorithm model, and performing syndrome classification identification and preliminary syndrome judgment through an expert system.
The five-organ functional system of traditional Chinese medicine shows and distributes in the human body region:
the heart system includes: heart, small intestine, pulse, tongue, face, hand shaoyin heart channel, hand taiyin small intestine channel;
the pulmonary system includes: lung, large intestine, skin, nose, hair, hand taiyin lung channel, hand yangming large intestine channel;
the spleen system includes: spleen, stomach, meat, mouth, lip, foot taiyin spleen channel, foot yangming stomach channel;
the hepatic system includes: liver, gallbladder, tendon, eye, paw, liver meridian of foot jueyin, gallbladder meridian of foot shaoyang;
the renal system includes: kidney, bone marrow, ear, yin, hair, kidney meridian of foot shaoyin, bladder meridian of foot taiyang.
In addition, the conception vessel is the sea of yin vessels of the whole body, and the governor vessel is the sea of yang vessels of the whole body, regulating the functions of viscera and qi and blood.
According to the invention, through clinical accumulation of a large number of cases, the observation areas of far infrared thermal imaging images corresponding to the abnormal five-organ functional system in the traditional Chinese medicine are as follows:
a cardiac system observation region comprising: left anterior chest area, sternocostal area, under-umbilicus, nasion, forehead, sea area, extreme yang, heart and intestine, and Neiguan.
A pulmonary system viewing area comprising: left precordial region, right precordial region, suprasternal fossa, JUEZHONG, MIANBAO, SHENFENG, TAIYUAN, YANXI, ZHI, QUTAN, ZHONGFU, FEISHU, and DACHANGSHU.
A hepatic system observation region comprising: hypochondriac area, abdomen, eyes, zhangmen, qimen, riyue, JINGJIAN, GANSHU, and DANSHU.
A spleen system observation region comprising: umbilicus, cheek, blood sea, liangqiu, fu House, daju, pishu, weishu, etc.
A renal system viewing area comprising: anterior pudendum, mandibular region, lumbar region, posterior thigh, mingmen, yaoyangguan, shenshu, and Zaocyshu.
In the invention, the Shenque point, the Mingmen point and the Jiquan point are used as main comparison areas, the difference value of the temperature mean value of each observation part in the five-organ system and the temperature mean value of the comparison area is compared, and the state of the five-organ system is evaluated according to the temperature difference value, which comprises the following steps:
1. comparing the temperature mean values of the left precordial region, the sternocostal region, the area under the umbilicus, the nasion, the forehead, the sea of Shaohai, the extreme yang, the heart acupoints, the small intestine acupoints, the internal organ and other regions in the heart system with the temperature mean values of the comparison regions, wherein the normal temperature difference interval between each pair of comparison regions is 0.1-8 ℃, and corresponding weight grades are given according to the condition that the temperature difference between some regions and the corresponding comparison regions in the regions is smaller than or larger than the normal temperature difference interval range, and the weights are divided into three grades (low, medium and high) and are prompted according to the weight grades: deficient or inhibited cardiac system function such as deficiency of heart qi/deficiency of heart yang/malnutrition of heart spirit; or hyperactivity of heart fire/excessive heat in small intestine.
2. Comparing the temperature mean values of the left chest area, the right chest area, the suprasternal fossa, the juzhong area, the cheek area, the shenfeng area, the Taiyuan area, the Yangxi area, the Chize area, the Quchi area, the Zhongfu area, the Feishu area, the Dachangshu area and the like in the lung system with the temperature mean values of the comparison areas, wherein the normal temperature difference interval between each pair of comparison areas is 0.1-5 ℃, corresponding weight grades are given according to the condition that the temperature difference between some areas and the corresponding comparison areas is smaller than or larger than the normal temperature difference interval range, the weight is divided into three grades (low, medium and high), and the weight grades are prompted according to the weight grades: lung qi deficiency/wind-cold affecting lung/cold-phlegm obstructing lung/small intestine deficiency-cold, or wind-heat attacking lung/phlegm-heat obstructing lung/large intestine damp-heat.
3. Comparing areas of hypochondrium, costelly, eyes, chapter gate, term gate, sun and moon, sinew contraction, ganshu, danshu and the like in the liver system with the average value of the temperature of the comparison areas, wherein the normal temperature difference range between each comparison area is 0.1-4 ℃, corresponding weight grades are given according to the condition that the temperature difference between some areas and the corresponding comparison areas is smaller than or larger than the normal temperature difference range, the weight is divided into three grades (low, middle and high), and the weight grades are prompted: liver system dysfunction or inhibition such as liver depression and qi stagnation, cold accumulation in liver meridian, gallbladder qi deficiency, or liver system hyperactivity or disorder such as liver fire hyperactivity, liver yang hyperactivity, gallbladder stagnation and phlegm disturbance
4. Comparing the temperature average values of the areas of the spleen system such as the periumbilical area, the cheek area, the blood sea, the Liangqiu area, the house area, the Daju area, the Pishu area, the Weishu area and the like with the temperature average value of the comparison areas, wherein the normal temperature difference range between each comparison area is 0.1-4 ℃, corresponding weight grades are given according to the condition that the temperature difference between some areas and the corresponding comparison areas is smaller than or larger than the normal temperature difference range, the weight is divided into three grades (low, medium and high), and the weight grades are prompted according to the weight grades: spleen qi deficiency/spleen yang deficiency/cold-dampness encumbering the spleen/stomach qi deficiency/stomach yang deficiency/cold stagnation in the gastric cavity, or hyperactive or abnormal spleen system function due to damp-heat accumulation in the spleen/excessive stomach heat/dyspepsia in the gastric cavity.
5. The normal temperature difference interval between each contrast area in the areas of the anterior pudendum, the lower jaw, the waist, the back side of the thigh, the Mingmen, the waist Yanguan, the Shenshu, the vesicshu and the like in the kidney system is 0.1-3 ℃, the corresponding weight grade is given according to the condition that the temperature difference between some areas in the areas and the corresponding contrast areas is smaller than or larger than the range of the normal temperature difference interval, the weight is divided into three grades (low, middle and high), and the weight grade is prompted according to the weight grade: kidney qi deficiency/kidney yang deficiency/kidney qi insecurity, or kidney yin deficiency/bladder damp-heat.
6. Some regional and corresponding contrast regional difference in temperature in above area are less than certain grade of normal temperature difference interval, can also indicate: deficiency or inhibition of the function of the five viscera system due to deficiency of both heart-lung qi, deficiency of heart-kidney yang, deficiency of both heart and spleen, deficiency of spleen-lung qi, deficiency of spleen-kidney yang, liver-stagnation and spleen-deficiency; some regional and corresponding contrast regional difference in temperature in above area are greater than certain grade of normal temperature difference interval, can also indicate: hyperactivity or disorder of the five zang-organs system due to disharmony between heart and kidney, disharmony between liver and stomach, damp-heat in liver and gallbladder, and yin deficiency of liver and kidney.
The invention adopts a neural network algorithm model and an expert system to carry out deep learning on evaluation logic, and based on the regional characteristics and observation and comparison logic, quantifiable and visual deduction and display are carried out on infrared images and energy states of a human body five-organ system reflected at the back of the images by combining the characteristics of temperature comparison between regions, temperature distribution difference, dispersion degree and the like and the visual characteristics of colors, textures, shapes and the like of the images under specific rendering requirements. And subsequently combining clinical experiences of a plurality of experts to perform fusion judgment on the features extracted by the computer. The neural network algorithm model is adopted to extract the characteristics of a large amount of image data, the expert system is combined to judge the traditional Chinese medicine syndromes, and various means such as genetic algorithm, simulated annealing and the like are comprehensively used to optimize the logics of characteristic extraction and viscera function state evaluation.
The neural network algorithm model adopts a convolution neural network, and comprises: convolutional constraint, pooling Pooling, activate, residual join Skip Connect, dropout, etc. The work flow of the convolutional neural network is to learn the local features of the image first and then melt the local features, so that the work flow is more abstract and complicated. The pooling reduces the dimensionality of the data and reduces the parameters of the model while keeping the overall characteristics of the data, thereby achieving the purposes of accelerating the training speed, suppressing noise and reducing the information redundancy. The characteristic of activation is to make the data non-linear transformation, which can make the feature of the data fully expressed in multi-dimensional space. The degradation problem of the deep neural network is better solved by the residual connection characteristic, the network convergence is faster, and the stability and reliability of the final result are ensured. The Dropout layer property temporarily makes part of the neurons inoperative, and has the effect of preventing the model from being overfitted. The design scheme of the model adopts a multi-feature fusion mode, and the high-order features of the temperature data obtained by convolution are judged by combining an expert system to evaluate the functional state of the viscera.
The invention integrates a plurality of expert systems through a plurality of expert clinical experiences, and the expert systems comprise region and acupoint temperature comparison, region shape characteristic comparison and temperature distribution characteristic comparison. Various temperature contrast threshold values, expected shape boundaries and temperature distribution structures of the expert system are continuously optimized by means of genetic algorithm, simulated annealing and the like, and finally the expert system with relatively high quality is obtained. And (4) evaluating the functional state of the viscera by combining the temperature characteristics, the region boundary and other information obtained by the convolutional neural network.
Finally, the convolutional neural network trained by mass data is combined with the selected optimal expert system, the visceral function state can be evaluated through the multi-element special diagnosis of the infrared image, and the evaluation result is automatically output, so that a reference basis is provided for future health planning and management.
In order to implement the method for evaluating the functions of the five internal organs in the traditional Chinese medicine by the far infrared thermal imaging technology, the invention also provides a system for evaluating the functions of the five internal organs in the traditional Chinese medicine by the far infrared thermal imaging technology, which comprises the following steps: the system comprises a far infrared image module, a far infrared image five-organ system function evaluation module, a deep learning module and an automatic evaluation module;
the far infrared image module is used for collecting and storing far infrared images;
the image preprocessing module is used for rendering the image to obtain visual characteristic values of color, texture and shape;
the far infrared image five-organ system functional state evaluation module is used for comprehensively evaluating the functional state of the five-organ system of the organism according to the regional comparison logic for the collected far infrared images and classifying syndromes of various types according to the Chinese medical visceral syndrome typing standard;
the deep learning module is used for carrying out feature extraction and algorithm analysis on the far infrared image through a neural network algorithm model and an expert system method to form an evaluation model;
and the automatic evaluation module inputs a far infrared image to be detected into the evaluation model, and the computer analyzes the image characteristics and outputs an evaluation result.
The invention has the following advantages:
1. in the prior art, the method for evaluating the visceral functions of the traditional Chinese medicine by the infrared thermal imaging technology lacks the integral and systematic thinking. The invention divides the far infrared image according to the core content of the traditional Chinese medicine visceral manifestation-the theory of the traditional Chinese medicine five-viscera function system, and selects the observation area of the traditional Chinese medicine five-viscera function system of the far infrared image according to the clinical experience, so that the evaluation result of the traditional Chinese medicine viscera function is more comprehensive and reliable.
2. The meridian points are the pathways of the viscera, yin and yang, qi and blood, and the traditional method for evaluating the viscera functions in traditional Chinese medicine by an infrared thermal imaging technology does not analyze the meridian points in the prior art. The invention extracts the regional characteristics of the meridian point, so that the result of the visceral function evaluation in the traditional Chinese medicine is more in line with the clinical practice.
3. The invention automatically extracts and screens the characteristics through a convolutional neural network algorithm model, and evaluates the viscera functional state through a general expert system. Meanwhile, by using the schemes of genetic algorithm, simulated annealing and the like, the feature extraction logic and the diagnosis logic are optimized, so that the evaluation accuracy of the whole system is further improved, and the functional states of the viscera are more accurately judged, thereby reaching the level of human doctors in the overall judgment accuracy.
Claims (10)
1. A system for evaluating the function of the five internal organs system in traditional Chinese medicine by the far infrared thermal imaging technology is characterized by comprising: the system comprises a far infrared image module, a far infrared image five-organ system function evaluation module, a deep learning module and an automatic evaluation module;
the far infrared image module is used for collecting and storing far infrared images;
the module is appraised to five internal organs system functional state of far infrared image, according to regional contrast logic to the far infrared image of gathering, through setting up the observation zone of centering system, the observation zone of lung system, the observation zone of liver system, the observation zone of spleen system, the observation zone of kidney system, regard shenque acupoint, mingmen acupoint, polar spring acupoint as the contrast zone, compare the difference of the temperature mean value of each observation zone in the five internal organs system and the temperature mean value of contrast zone with normal temperature difference interval, evaluate five internal organs system functional state of organism, according to the internal organs syndrome typing standard of traditional chinese medical science, carry out syndrome classification to various types, wherein, the observation zone of heart system includes: left anterior chest area, sternocostal area, under-umbilicus, nasion, forehead, sea of childhood, extreme yang, heart and intestine, and Neiguan; the lung system observation region includes: left precordial region, right precordial region, suprasternal fossa, JUEZHONG, MIANBAO, SHENFENG, TAIYUAN, YANXI, ZUZE, QUTAN, ZHONGFU, FEISHU, and DACHANGSHU; the hepatic system observation region includes: costal area, abdomen, eyes, zhangmen, qimen, riyue, JINJINCONG, GANSHU, and DANSHU; the spleen system observation region includes: umbilicus, cheek, blood sea, qiqiqiu, fu fang, da ju, pishu and wei shu; the renal system observation region includes: anterior pudendum, mandibular region, lumbar region, posterior thigh, mingmen, yaoyangguan, shenshu, and Zaocys;
the deep learning module is used for carrying out deep learning on the evaluation logic of the far infrared image five-organ system function state evaluation module by adopting a neural network algorithm model and an expert system to form an evaluation model, wherein the expert system comprises region and acupoint temperature comparison, region shape feature comparison and temperature distribution feature comparison, and quantifiable and visual deduction and display of the infrared image and the human body five-organ system energy state reflected on the back of the image are carried out by combining the temperature comparison between regions and the temperature distribution difference and the temperature distribution discrete degree and the visual features of color, texture and shape of the image;
and the automatic evaluation module inputs a far infrared image to be detected into the evaluation model, and the computer analyzes the image characteristics and outputs an evaluation result which provides a reference basis for future health planning and management.
2. The system of claim 1, wherein the region comparison logic comprises:
1) Comparing the temperature mean value of the observation area and the comparison area of the cardiac system, wherein the normal temperature difference interval of the two areas is 0.1-8 ℃;
2) Comparing the temperature mean value of the lung system observation area and the comparison area, wherein the normal temperature difference interval of the two areas is 0.1-5 ℃;
3) Comparing the temperature mean values of the observation area and the comparison area of the liver system, wherein the normal temperature difference interval of the two areas is 0.1-4 ℃;
4) Comparing the temperature mean value of the observation area and the comparison area of the spleen system, wherein the normal temperature difference interval of the two areas is 0.1-4 ℃;
5) Comparing the temperature mean values of the observation area and the comparison area of the kidney system, wherein the difference interval of the normal temperatures of the observation area and the comparison area is 0.1-3 ℃.
3. The system of claim 1, wherein the expert system is obtained by obtaining high-order features of temperature data, zone boundary data, and optimizing the structure of various temperature contrast thresholds, expected shape boundaries, temperature distributions through multi-feature fusion.
4. The system of claim 1, wherein the heart system observation region and the contrast region are assigned a corresponding weight level according to a range of temperature difference between the heart system observation region and the contrast region being less than or greater than a normal temperature difference range, and the expert system prompts, according to the weight level, that: deficient or inhibited cardiac system function due to deficiency of heart-qi/deficiency of heart-yang/loss of nourishment of heart-mind; or hyperactivity of heart fire/excessive heat in small intestine.
5. The system of claim 1, wherein the lung system observation region and the contrast region are assigned respective weight levels according to the interval range of temperature difference smaller or larger than the normal temperature difference, and the expert system prompts, according to the weight levels: lung qi deficiency/wind-cold affecting lung/cold-phlegm obstructing lung/small intestine deficiency-cold lung system function insufficiency or inhibition state, or wind-heat invading lung/phlegm-heat obstructing lung/large intestine damp-heat system hyperfunction or abnormal state.
6. The system of claim 1, wherein the liver system observation region and the contrast region are assigned a corresponding weight level according to the interval range of the temperature difference between the liver system observation region and the contrast region being smaller or larger than the normal temperature difference, and the expert system prompts, according to the weight level, that: liver system function insufficiency or inhibition due to liver depression and qi stagnation/congealing cold in liver vessel/gallbladder qi deficiency, or liver system function hyperactivity or disorder due to liver fire hyperactivity/liver yang hyperactivity/gallbladder stagnation and phlegm disturbance.
7. The system of claim 1, wherein said spleen system observation region and said contrast region are assigned a respective weight level based on a temperature difference between said spleen system observation region and said contrast region being less than or greater than a normal temperature difference interval range, and wherein an expert system prompts, based on said weight level: spleen qi deficiency/spleen yang deficiency/cold-dampness encumbering the spleen/stomach qi deficiency/stomach yang deficiency/cold-retention in the gastric cavity, or damp-heat accumulation in the spleen/excessive stomach heat/dyspepsia in the gastric cavity.
8. The system of claim 1, wherein the relative weight level is assigned according to the difference between the temperature difference between the observation region and the comparison region of the kidney system being smaller or larger than the normal temperature difference interval range, and the expert system indicates the kidney-qi deficiency/kidney-yang deficiency/kidney-qi unconsolidation status of the kidney system or the kidney-yin deficiency/bladder damp-heat status of the kidney system being hyperfunction or abnormal according to the weight level.
9. The system of claim 1, wherein the neural network algorithm model employs a convolutional neural network, including network levels of convolutional Convolution, pooling Pooling, activate, residual Connect Skip Connect, dropout.
10. The system for assessing the functions of the five internal organs in chinese medicine according to claim 1, wherein said system further comprises an image preprocessing module for obtaining the visual characteristic values of color, texture and shape by rendering the image.
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