99 results about "Tongue surface" patented technology

The invention discloses an illness state tracking management system and method based on a lingual face diagnosis instrument, and belongs to the technical field of traditional Chinese medicine tongue diagnosis and modern information technology fusion. The system comprises a multi-modal data acquisition module, a data processing and analysis module and an augmented reality visualization module; according to the method, illness state tracking is achieved through the steps of multi-modal data acquisition, data preprocessing and feature fusion, personalized digital twinborn model establishment, augmented reality visualization presentation and the like, multi-dimensional data such as tongue picture macroscopic features and tongue surface microorganism distribution can be integrated, dynamic association between the data is revealed, the health state and the intervention effect are visually displayed, and the method is suitable for being popularized and applied. The method is suitable for the fields of traditional Chinese medicine health management and chronic disease monitoring.

The invention discloses a lingual surface diagnostic information acquisition, diagnosis and analysis method and system, and belongs to the technical field of medical auxiliary diagnos.The method comprises the steps that an acquired lingual surface image is matched with patient information, a symptom associated lingual surface area is determined, the associated lingual surface area is subjected to priority division, and whether the acquired image meets a clear standard or not is judged; the method comprises the steps of constructing an image index evaluation model based on tongue vibration and image texture, performing tongue vibration, texture stability and water vapor fuzzy interference evaluation on an image needing to be processed, constructing a stable frame evaluation model, and importing vibration intensity, texture stability and a water vapor proportion into the stable frame evaluation model to evaluate image area stability. Image registration is carried out on the stable frame set, multi-frame registration and fusion are carried out based on an image stable region, region stability and processing information are recorded, a high-quality image for tongue picture analysis is generated, the image definition of a key diagnosis region is improved, and the accuracy and stability of tongue picture analysis are improved.

The invention discloses a fuzzy theory fused tongue diagnosis characteristic quantitative analysis method and system, and relates to the technical field of traditional Chinese medicine tongue diagnos.The method comprises the steps that a micro piezoelectric sensor array and a hyperspectral imaging module are integrated, tongue surface Young modulus distribution data and hyperspectral reflectivity data are synchronously collected, and a multi-mode tongue picture fusion data set is generated; further performing crack region segmentation and super-resolution reconstruction through a neural network model, outputting a crack network diagram and a tongue papilla form entropy, generating topological fingerprints in combination with continuous homology analysis, identifying a mechanical gradient mutation region and extracting a metabolic index, constructing a mechanical-metabolic associated feature set, and obtaining a mechanical-metabolic associated feature set; topological fingerprints and mechanical-metabolic characteristics are fused in a three-dimensional space-time coordinate system, a dynamic intuitionistic fuzzy decision field is constructed, finally, tongue picture pathology evolution risk indexes and a visual early warning report are output through a pathology prediction model, and the system provides quantifiable decision support for'prevention before illness' in traditional Chinese medicine.

The invention discloses a preventive disease management system based on a multi-mode large model, and relates to the technical field of medical management, the preventive disease management system collects user lingual surface images and on-line questionnaire data to obtain traditional Chinese medicine physique, health symptoms and personal basic information, and the image data is subjected to preprocessing technologies such as filtering and enhancing to obtain the preventive disease information; key tongue picture characteristics such as tongue color, tongue coating and tongue shape are extracted; performing comprehensive health assessment on the multi-modal data by using a pre-trained deep learning model, and preliminarily judging viscera functions, meridian qi and blood states and potential health risks of the user; an evaluation result is fused with auxiliary information such as original data, a current season and a regional environment, and a personalized health planning scheme covering diet, work and rest and exercise suggestions is generated through a multi-modal large model; an AI-AGENT-based intelligent agent is adopted to execute a health management task, and real-time data feedback is utilized to realize continuous optimization of dynamic planning; and the problems of insufficient intelligence and individuation of the traditional disease prevention management are solved.

The invention discloses a traditional Chinese medicine cardiovascular health assessment method based on tongue picture image recognition, and the method comprises the following steps: collecting original tongue picture image data, and carrying out the image preprocessing; collecting lingual surface spectrum original data, and executing spectrum preprocessing; extracting features of the standardized tongue picture image data, and generating tongue picture image feature vectors; extracting features of the standardized lingual surface spectral data, and generating lingual surface spectral feature vectors; constructing multi-modal hidden space representation of the tongue picture image feature vector and the tongue surface spectrum feature vector, and executing feature decoupling and feature fusion processing; establishing a mapping relation between the tongue picture-spectrum fusion implicit vector and a cardiovascular health index, and generating a cardiovascular risk prediction vector; and generating a cardiovascular health risk assessment result. According to the invention, tongue image and spectral analysis are fused, cardiovascular health assessment is realized, and the method has the advantages of high accuracy and high stability.

The invention discloses a traditional Chinese medicine four diagnosis comprehensive diagnosis method and device integrated with AI analysis, and relates to the field of intelligent medical treatment, and the method comprises the steps: obtaining user identity information and basic physiological parameters at least comprising age, gender, height and weight, carrying out the correlation binding of the two, and constructing a user exclusive diagnosis file; a preset camera is combined with a color card correction mechanism to collect tongue surface, tongue bottom and face images of a user, the shooting angle and focusing parameters are automatically adjusted in the collection process, and ambient light interference is eliminated through the color card correction mechanism; according to the method, the traditional Chinese medicine syndrome element mapping matrix is converted into the syndrome score, the personalized health report containing multi-dimensional information is generated based on the analysis result, and the file is associated to support multi-mode acquisition, so that traditional Chinese medicine four-diagnosis data acquisition precision, analysis intelligence and diagnosis personalization are integrally realized, the traditional Chinese medicine four-diagnosis efficiency and accuracy are effectively improved, and the traditional Chinese medicine four-diagnosis efficiency and accuracy are improved. And comprehensive and adaptive health assessment is provided for the user.

The invention provides a pulmonary nodule patient treatment prediction method based on artificial intelligence, and the method comprises the steps: obtaining a historical tongue picture feature and a historical pulmonary nodule CT image, extracting a tongue coating color value RGB component, a spatial frequency of a tongue surface texture feature, a gradient value of pulmonary nodule edge sharpness, and a CT value standard deviation of pulmonary nodule density distribution, and obtaining an initial feature set; extracting the change trend of the tongue coating thickness and the pulmonary nodule edge sharpness in the treatment cycle from the weighted feature set, analyzing the dynamic evolution rule of the correlation between the change rate of the tongue coating thickness and the gradient value of the pulmonary nodule edge sharpness, and obtaining a time sequence feature vector in combination with the time rhythm characteristics of the traditional Chinese medicine tongue diagnosis; and carrying out standardization and normalization processing on the fusion feature set, predicting by combining a clinical curative effect evaluation standard and a pulmonary nodule iconography improvement index to obtain the correlation strength of the change rate of the thickness of the tongue coating and the improvement trend of the edge sharpness of the pulmonary nodule in a treatment cycle, and obtaining a predicted curative effect result.

The invention discloses a traditional Chinese medicine tongue picture intelligent analysis method based on YOLO target detection and multi-label classification, and relates to the technical field of computer vision. The method comprises the following steps of: firstly, importing an original tongue picture color image into a tongue surface area and sublingual area detection model based on a YOLOv11 target detection network to obtain a tongue surface area and sublingual area detection result; the method comprises the following steps: cutting an original image to obtain a regional image of a target object, carrying out zooming processing to obtain a new regional image with a standard size, importing the new image into a tongue picture multi-label classification model which is trained for the target object and is based on a Resnet50 network, and obtaining a tongue picture multi-label classification result of the target object. And finally, summarizing to obtain a traditional Chinese medicine tongue picture intelligent analysis result corresponding to the original image, thereby effectively improving the analysis result precision through lingual surface / sublingual region separation analysis and cutting operation, and reducing the model coupling degree to a certain extent.

1. The name of the design product: tongue detector (shengshi-tiangong AI spectrum diagnosis platform). 2. The use of the design product: for tongue detection. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

1. The name of the design product: Tongue surface collector (Chinese medicine intelligence 1). 2. The use of the design product: For collecting images of tongue surface and face. 3. The design points of the design product: In shape. 4. The picture or photo that best indicates the design points: Perspective view.

The invention provides an intelligent tongue picture feature identification method and system, relates to the technical field of biomedical detection, and aims to avoid confusion of subsequent signal processing caused by environmental noise by accurately identifying and eliminating ambient light interference with fixed frequency through fast Fourier transform analysis after a pre-processed original composite light signal is obtained. When the target lingual surface area shifts to cause dynamic change of the background fluorescence signal, the preset adaptive filtering algorithm can accurately identify and reject the changed background fluorescence digital signal values of the tongue picture in real time. The step-by-step and self-adaptive processing strategy ensures that the removal of ambient light interference and the correction of the background fluorescence signal are mutually independent and do not interfere with each other, thereby avoiding the generation of internal processing conflicts and calculation artifacts described in the background technology, and obtaining highly pure and accurate tongue picture fluorescence digital signals. The accuracy and reliability of tongue picture feature identification are remarkably improved, and a more reliable data basis is provided for oral health detection.

This application relates to a device for detecting organ function and its control method, as well as a dietary management method and system, belonging to the technical field of medical device testing. The control method compares and analyzes changes in the microscopic features of the same area of ​​the tongue before and after eating, and calculates the corresponding metabolic index change rate, constructing a mapping relationship between the tongue's microscopic morphology and organ function, providing a basis for assessing internal physiological function through external characterization. Simultaneously, the dietary management method uses physiological responses before and after eating as real-time biofeedback signals to generate dynamically adjusted dietary management plans, forming a personalized health management closed loop of "monitoring-assessment-intervention-remonitoring," achieving precise adaptive adjustment of intervention strategies.

1. The name of the design product: Chinese tongue surface diagnosis instrument. 2. The use of the design product: for obtaining color image information, three-dimensional contour image information and multi-spectral image information of the tongue and / or face of the inquirer. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view. 5. The bottom surface of the design product is the part that is not easy to see or cannot be seen during use, and the top view is omitted.

The invention relates to the technical field of image processing, in particular to a traditional Chinese medicine tongue image recognition method and system based on image processing, and the method comprises the steps: firstly collecting a tongue bottom image and a tongue surface image, then carrying out the conventional image preprocessing operation and illumination correction of the tongue bottom image and the tongue surface image, and adopting different illumination correction work. Adjusting the brightness of the lingual surface image by adopting a linear change method; illumination correction is realized on a tongue base image by adopting a block correction method, illumination estimation is independently performed on each small block by adopting an improved Gaussian weighting function formula when illumination correction is performed on the tongue base image, and gradient calculation is introduced into a specific application scene of illumination estimation of a block image. When illumination estimation is carried out on the pixels of the partitioned tongue base image, the improved Gaussian weighting function can determine the improved item of the Gaussian weighting function according to the image details of each block of tongue base image by introducing the gradient item of the pixels of the partitioned image, so that the estimated pixels can better retain the detail information of the tongue base image.

The invention discloses a multivariate data-based tongue surface image anomaly analysis management and control system and method, and relates to the technical field of medical image processing, and the system comprises the following components: a data collection module which collects a tongue surface image according to a standard specification by adopting professional equipment, collects basic information of a patient through an electronic questionnaire and a docking medical record system, and transmits the basic information to a database; according to the method, macroscopic and microscopic feature information in the lingual surface image is captured through a multi-scale feature extraction technology, so that lingual surface feature information can be described more comprehensively, meanwhile, a comprehensive feature vector is formed by combining multivariate data fusion, potential association among different data can be mined, and the accuracy of the lingual surface feature information is improved. According to the method, the correlation between the gene detection data and the lingual surface image features, especially the correlation between the gene detection data and the lingual surface image features, provides a richer basis for disease diagnosis, analyzes the comprehensive feature vectors through a statistical method and a machine learning algorithm, can more accurately judge whether the lingual surface has abnormal conditions, and greatly improves the accuracy and reliability of diagnosis.

The invention provides a key-point-driven tongue picture generation method, device and equipment and a storage medium, and relates to the technical field of tongue picture analysis, and the method comprises the steps: obtaining a tongue picture image, and extracting tongue edge boundary key points and tongue surface region key points through a key point positioning unit for representing the geometric morphology and viscera partition of a tongue body; based on a semantic analysis unit, identifying and standardizing the input tongue picture pathological feature tag to generate a structured control condition; according to the key points and the semantic tags, a mask generation unit generates a multi-channel control mask graph in a programmed mode, and the multi-channel control mask graph is used for indicating local features and severity of tooth marks, cracks, yellow moss, white moss and the like; the image generation unit adopts a stream matching vector field learning framework, carries out collaborative reasoning through a trunk generation network and a control network, and combines an ODE solver to generate a tongue picture image conforming to mask space constraints in finite steps; and the feature fusion unit injects control features step by step by using a zero convolutional layer in a decoding stage to realize tongue picture reconstruction with consistent space.

The invention provides an AI tongue picture health analysis and diagnosis method and diagnostic apparatus based on deep learning, the AI technology is used for tongue picture health analysis and diagnosis, and multi-modal tongue picture parameters of a patient are analyzed and calculated by collecting tongue sensing data of the patient: tongue color, tongue shape, tongue coating thickness, crack index, tongue surface humidity and tongue temperature deviation. And calculating the physique score, disease risk index and health degree of the patient according to the multi-modal tongue picture parameters. And identifying tongue picture parameter characteristics of the patient by using an AI tongue picture health analysis model, outputting tongue diagnosis results and rehabilitation measures matched with the tongue picture parameter characteristics, and generating a tongue picture health analysis and diagnosis report. A patient can carry out tongue picture traditional Chinese medicine self-diagnosis or assist a doctor in diagnosis, the technical threshold is lowered, application of the intelligent technology in the traditional Chinese medicine tongue picture is enhanced, and the intelligent diagnosis capacity is improved. The patient is prevented from consuming time and the treatment efficiency is improved.

The invention relates to the technical field of image processing, and particularly provides a lingual surface image multi-label classification method, a storage medium, electronic equipment and a product, and the method can comprise the steps: obtaining a lingual surface image of a target object; inputting the lingual surface image into a pre-trained lingual surface multi-label classification model, and obtaining a probability value of at least one type of lingual surface classification label to which the lingual surface image belongs; wherein the tongue surface classification label comprises a tongue quality label, a tongue-shaped label, a tongue coating label, a tooth mark label or a crack label; the lingual surface multi-label classification model is obtained by training a lingual surface feature model, and the lingual surface multi-label classification model comprises a basic feature extraction module, a cross-scale feature processing module, a graph convolution network module and a full-connection classifier. According to some embodiments of the invention, multi-label classification of lingual surface images can be realized, and the classification accuracy is high.

The application relates to the technical field of image acquisition and processing devices, and discloses a projection device for tongue surface detection, a connecting rod is fixedly connected to a rotating frame, a shielding curtain is detachably connected to the connecting rod, the bottom of the shielding curtain abuts against the bottom of a dark box, the surface of the shielding curtain is provided with a carbon fiber layer, the top of the dark box is provided with an air hole, the air hole is located on the front side of the shielding curtain, and the dark box is connected with an air outlet cavity. The photos taken by the device have high consistency for people with different postures and body shapes, and the machine analysis is facilitated. In addition, under the isolation and guiding action of the shielding curtain, the flow direction of the gas is consistent, the old gas carrying bacteria is further isolated by the airflow itself, the shielding curtain has the functions of adsorption and isolation, the airflow is guided and bound, the spread of droplets in the dark box is avoided, and the adhesion of the droplets to the camera and the coaxial light source is reduced.

The application discloses an interpretable tongue diagnosis auxiliary diagnosis system based on knowledge graph fusion reasoning. The system obtains tongue diagnosis image data containing at least tongue surface image and sublingual plexus image, determines a plurality of preset tongue diagnosis regions and generates regional node features; constructs an image graph and updates the image graph by a first graph neural network to obtain image node features; constructs a traditional Chinese medicine knowledge graph containing tongue image, pathological factors, viscera, syndrome nodes and their relationships and updates the knowledge graph by a second graph neural network to obtain knowledge node features, projects and maps the image node features and the tongue image node features to the same embedding space, aligns the cross-modal modes according to a contrast learning loss to obtain cross-modal correlation; constructs a fusion graph based on the image graph, the knowledge graph and the cross-modal correlation and performs graph reasoning to output syndrome results and reasoning path information. Explicit connection of image regions and traditional Chinese medicine semantics and output of traceable paths reduce experience dependence and enhance interpretation and review.

The invention relates to the technical field of biomedical engineering, and provides a tongue body motion form reconstruction and neuromuscular lesion recognition method, which comprises the following steps: S1, acquiring a multi-modal original signal by using a flexible electrode array attached to a lingual surface, and recording a system timestamp; s2, performing targeted filtering, artifact removal and feature extraction processing on the multi-mode original signal; s3, reconstructing a local dynamic curved surface of the lingual surface by adopting a preset model, and inferring an overall position and posture sequence of the tongue body in combination with an IMU signal; s4, a joint optimization objective function is constructed, and a tongue body three-dimensional dynamic form sequence is obtained through iterative solution; s5, performing motion unit action potential MUAP decomposition and feature extraction on the surface electromyogram signal sEMG; and S6, constructing lesion feature vectors based on the multi-dimensional abnormal features, and analyzing and generating a tongue lesion risk map TDM through a machine learning model. The defects that real motion reconstruction, form inference and neuromuscular lesion positioning of the tongue cannot be achieved through an existing tongue detection technology are overcome.

Exercising methods using an exercising device to strengthen, tighten and tone midface, lower face, orofacial, oropharyngeal including the tongue and floor of mouth muscles for both aesthetic and rehabilitative therapeutic practices is disclosed. A dual facial exercising device having a pair of triangular tubular shaped body members of a primary triangular configuration joined together at their respective apexes. The combined triangular shaped body defines central openings with equal, compressible, and bendable body members there about for designated placement to perform isometric and isotonic muscle resistance training for a variety of facial and tongue exercises. An exercise methodology with universal placement under the lower lip, upper lip, both lips, unilateral or bilateral cheeks, in and around the outer region of the mouth, inside the oral cavity for hard palate, surface of the tongue and floor of mouth engagement.

The invention discloses a digital human generation system and method based on a language model, and relates to the technical field of artificial intelligence. A complete digital human pronunciation modeling path from voice signal acquisition, formant frequency extraction, deviation analysis and pronunciation stability evaluation to motion compensation control and three-dimensional animation fusion is realized. Compared with the existing mode of driving the digital human pattern only based on energy envelope or mouth shape classification, the method has the advantages that the multi-frame formant frequency of the user voice is extracted and processed, so that the digital human can generate dynamic lingual surface and tongue tip actions according to the sound channel change in the real pronunciation process of the user; therefore, the physical correspondence and linguistic consistency of the pronunciation actions of the digital human are improved. According to the method, the direct mapping between the pronunciation characteristics and the three-dimensional tongue actions is realized, and the authenticity of the pronunciation animation of the digital human and the guidance in a teaching scene are remarkably improved.

The invention discloses a method for improving a medical tongue depressor, and relates to the field of medical instrument materials and products. A tongue surface of a polypropylene tongue depressor is polished to form a micro rough structure; then, a PET light-emitting film and a transparent anti-skid film are sequentially attached to the surface, medical polyurethane glue or epoxy glue is used in the middle for bonding, the edge is sealed through a medical silica gel belt or a thermal shrinkage film, and the whole structure can resist steam sterilization treatment. The improved tongue depressor has the advantages that the friction coefficient, the edge safety and the durability are obviously improved in a humid environment; and meanwhile, green fluorescence is presented under the irradiation of an operating shadowless lamp, so that clinical positioning and use are facilitated.

An ornamental design for a facial exercise device, as shown in the figures and description. The facial exercise device is used to strengthen, tighten, and tone the midface, lower face, orofacial region, and oropharynx (including the tongue and floor of the mouth muscles) for both aesthetic and rehabilitative therapeutic purposes. The facial exercise device comprises a trapezoidal tubular body having a primary isosceles trapezoidal shape. The trapezoidal tubular body defines a plurality of openings with equally spaced compressible and bendable body members centered around a central opening, positioned at predetermined locations for isometric and isotonic muscle resistance training for various facial and tongue movements. The facial exercise device can be positioned anywhere, including under the lower lip, under the upper lip, under both lips, on one or both cheeks, around the outer periphery of the mouth, and within the oral cavity (contacting the hard palate, tongue surface, and floor of the mouth). 1.1) Perspective view; 1.2) Front view; 1.3) Plan view; 1.4) Bottom view; 1.5) Right side view; 1.6) Left side view; 1.7) Rear view; 1.8) Cross section; 1.9) Reference view showing the state of use; 1.10) Reference view showing the state of use

The invention provides a health assessment analysis method, system and device based on tongue diagnosis. The method comprises the following steps: collecting a lingual surface picture of an evaluated person; performing tongue picture recognition on the tongue surface picture to obtain tongue picture characteristics of the tongue surface picture; calling a question of a physique corresponding to the tongue picture feature for an assessed person to answer; and judging the physique of the evaluated person according to the answer result and generating an evaluation report. The system comprises the front-end equipment adopting the method, the data processing cloud and the tongue picture feature classification cloud. A program for executing the method is stored in the device. According to the invention, the traditional Chinese medicine constitution evaluation result of the user can be conveniently and accurately obtained.

The application relates to the technical field of image processing, and discloses a tongue surface adaptive partitioning method, a tongue surface adaptive partitioning system and a medium. The method comprises the following steps: acquiring an original image containing a tongue body, performing tongue body segmentation on the original image to obtain a binary mask; extracting a tongue body contour and calculating a tongue body morphological parameter based on the binary mask; then calculating partitioning key point coordinates through a dynamic positioning formula according to the morphological parameter; then dividing the tongue surface into a plurality of sub-regions corresponding to viscera based on key point connecting lines; and finally fusing sub-region boundary information and the original image to generate and output a partitioning result image. The method provided by the application can adapt to individual tongue shape differences, significantly improves the partitioning accuracy, provides a standardized region division basis for tongue diagnosis objectification, and can be automatically implemented, the result is intuitive and easy to understand, and is convenient for clinical and scientific research application.

1. The name of the design product: the tongue surface data acquisition instrument. 2. The use of the design product: for collecting the image data of the user's tongue surface. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: the perspective view.

This application provides an image synchronous acquisition method, system, device, storage medium, and program product, relating to the field of medical image acquisition and processing. The method includes: synchronously acquiring an initial tongue image of a target object using a coaxial optical structure. The initial tongue image includes a tongue image and a facial image. The coaxial optical structure includes a first image acquisition device and a second image acquisition device, which are coaxially aligned to acquire initial tongue images of the same region of the target object. A real-time image processing unit is then used to process the initial tongue image in real time to obtain a target tongue image corresponding to the target object. This method, through the combination of a coaxial optical structure and a hardware processing unit, solves the problem of spatiotemporal inconsistency caused by segmented acquisition, achieving strict alignment of the acquired images in both time and space dimensions.

Exercising methods using an exercising device to strengthen, tighten and tone midface, lower face, orofacial, oropharyngeal including the tongue and floor of mouth muscles for both aesthetic and rehabilitative therapeutic practices is disclosed. The exercising device having an angular tubular opening shaped body member of a primary triangular configuration. The shaped body defines a central opening with equal, compressible, and bendable body members there about for designated placement to perform isometric and isotonic muscle resistance training for a variety of facial and tongue exercises. And methodology with universal placement under the lower lip, upper lip, both lips, unilateral or bilateral cheeks, in and around the outer region of the mouth, inside the oral cavity for hard palate, surface of the tongue and floor of mouth engagement.