104 results about "Tongue coating" patented technology

The invention discloses a traditional Chinese medicine rehabilitation diagnosis system based on a multi-modal knowledge graph and a large language model. The invention provides a traditional Chinese medicine rehabilitation diagnosis system based on a multi-modal knowledge graph and a large language model. The traditional Chinese medicine rehabilitation diagnosis system can be used for intelligent inquiry or clinical auxiliary diagnosis scenes. The invention provides a finer multi-modal data fusion and knowledge graph retrieval method aiming at the problem that multi-modal data in traditional Chinese medicine rehabilitation clinic is difficult to fully mine and utilize. Specifically, the method comprises the following steps: firstly, performing targeted preprocessing according to the characteristics of a tongue coating image and a pulse condition signal; then, the tongue coating and the pulse condition are fused on the feature level and aligned with the embedding of the knowledge graph. The embedded vectors are further used for retrieving related entities in a knowledge graph, so that more comprehensive and fine-grained medical knowledge related to tongue coating and pulse conditions is obtained, and the interpretability and reasoning ability of the model are enhanced.

The invention discloses a tongue picture image processing system for traditional Chinese medicine health-care physique detection. The tongue picture image processing system comprises a tongue picture image acquisition module, a self-adaptive color correction module, an image enhancement module and a database and analysis module, the acquisition module automatically adjusts illumination conditions through an ambient light sensor to ensure the consistency and stability of images; the adaptive color correction module adopts color space conversion and a standard color library to automatically correct color distortion in the collected tongue picture image; the image enhancement module enhances the tongue coating, crack and tooth mark key features of the tongue picture through sharpening and contrast adjustment, the database and analysis module analyzes through a standardized tongue picture data set and big data, the processing precision of the tongue picture image is effectively improved, and a more scientific and accurate auxiliary tool is provided for traditional Chinese medicine constitution detection.

The invention relates to the technical field of tongue picture image processing, in particular to a tongue picture key feature labeling method based on artificial intelligence. According to the method, the tongue body region is converted into the LAB space, and the tongue body and tongue coating probability of each pixel point is obtained according to the position feature and the color feature of each pixel point; according to the gradient distribution characteristics and position distribution between each pixel point and the pixel points in the neighborhood range, the tongue crack probability of each pixel point is obtained; according to the color features, the position features and the gradient distribution of the different pixel points, the tongue scab probability of each pixel point is obtained; according to the tongue coating probability, the tongue crack probability and the tongue scab probability of each pixel point, the overall abnormal probability of each pixel point is obtained; and obtaining abnormal pixel points according to the overall abnormal probability of each pixel point, and carrying out feature labeling on the tongue picture. According to the method, the accuracy of key feature labeling is improved by accurately analyzing the abnormal degree of each pixel point.

The invention relates to the technical field of computer application in traditional Chinese medicine constitution recognition, in particular to an intelligent tongue coating detection system based on a YOLOv5 deep learning algorithm, which comprises an acquisition device for acquiring tongue images and a processing system, the target detection module is used for judging the integrity and normalization of the tongue picture image acquired by the acquisition device in real time and outputting a qualified tongue picture graph; the target detection module constructs a detection network based on a YOLOv5s framework, and the detection network performs multi-scale feature extraction and fusion on the qualified tongue picture graph, compares the qualified tongue picture graph with a standard scene sample data set, and outputs the qualified tongue picture graph after quality detection; and the pathological analysis module is used for carrying out depth feature extraction on the qualified tongue picture graph subjected to quality detection by the target detection module, carrying out feature comparison with a standard scene sample data set and outputting a detection result, millisecond-level response is realized through an event-driven architecture, and the acquisition efficiency and the data reliability are ensured.

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 an intelligent tongue coating inquiry device based on multi-modal knowledge cooperation, and the device comprises a tongue picture collection module which is internally provided with color temperature calibration and is used for the standardized collection of tongue color and coating quality characteristics; the interactive display screen integrates a touch panel and voice interaction, dynamically displays a tongue picture analysis result and an inquiry progress, and guides the patient to complete standardized tongue placement and symptom feedback of multiple rounds of dialogues with the active dialogue guide module; the edge calculation module integrates a lightweight hospital guide model and a visual module for tongue coating image processing, and is internally provided with a knowledge graph (KG, Known Graph) system for storing a dynamic knowledge graph to realize local knowledge reasoning and preliminary construction; and the expert diagnosis engine module is connected with the device through a bidirectional encryption channel, integrates an expert model deployed at a cloud end, and outputs a final diagnosis result according to the tongue picture characteristics and the symptom information.

The invention relates to the technical field of computer vision, in particular to a tongue picture multi-label multi-task automatic classification method and system.The method comprises the steps that tongue picture images are obtained to construct an original data set, and the tongue picture images in the original data set are labeled; performing preprocessing based on the obtained original data set, including introducing an illumination compensation factor to perform adaptive brightness normalization on the tongue picture image; the pre-processed tongue picture image is used as input to construct a classification model, multi-level feature extraction is carried out, multi-task feature decoupling is carried out by using the extracted multi-level features, multi-label classification and loss function optimization are carried out based on a feature decoupling result, and the trained classification model is optimized by using a Lion optimizer. According to the method, feature maps of different levels are fused in a cross-stage manner, multi-scale capture of tiny lesions in the tongue picture image is realized, and the detection capability of the model on features such as tongue color, tongue coating color, tongue shape and tongue coating quality is remarkably improved.

The invention relates to the technical field of image data processing, and particularly discloses a tongue picture image enhancement system and method based on deep learning, and the system comprises an acquisition and input module, a preprocessing module, a tongue region analysis module, a low-illumination enhancement module, a highlight suppression module, a post-processing and reading module, and a processor and memory module. After standardized acquisition, the system performs regional perception enhancement on a low-illumination tongue picture by using a tongue body / tongue coating / background multi-mask and a highlight mask: an illumination curve estimation branch realizes non-reference exposure improvement, a tongue region color destaining branch performs reflectivity-illumination separation in an HSV space, mutual staining of red and white coating of the tongue body is inhibited, and the tongue region color destaining branch performs color destaining on the tongue body. Meanwhile, saliva highlight interference is reduced through highlight segmentation-guided repair. The detail visibility and the real color rendition degree are improved, the dependence of doctor reading on experience and ambient light is reduced, and the method is suitable for outpatient screening and follow-up visit scenes.

The invention provides a personalized traditional Chinese medicine enema curative effect optimization dynamic system and method and a storage medium, relates to the technical field of traditional Chinese medicine informatization, and is used for solving at least one of the technical problems of high subjectivity of traditional Chinese medicine enema curative effect evaluation, lack of dynamic quantitative data support and treatment scheme adjustment hysteresis in related technologies. The method comprises the following steps: acquiring periodical symptomatic quantification data, periodical tongue picture image data and traditional Chinese medicine enema treatment scheme data which represent the current health state of a patient; generating color space data; obtaining a tongue color feature value and a tongue coating texture feature value of the tongue body region; generating a comprehensive curative effect index representing the comprehensive curative effect of the cycle; constructing a time sequence of the comprehensive curative effect indexes; determining a curative effect innovation coefficient and a curative effect imitation coefficient of the model; generating predicted efficacy trends for one or more cycles in the future; and generating a treatment scheme adjustment signal for indicating adjustment of the traditional Chinese medicine enema treatment scheme.

1. The name of the design product: oral cavity cleaner. 2. The use of the design product: for cleaning the oral cavity, cleaning the tongue coating and dirt. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view.

The invention relates to an intelligent tongue picture analysis system and method. The system comprises a high-definition camera, an image processing unit, an image segmentation module, a color space conversion module, a feature extraction module, an analysis module, a classification module and a diagnosis matching module. The system shoots a tongue image through the high-definition camera, the image processing unit carries out image preprocessing, the image segmentation module separates a tongue area, the color space conversion module extracts color features, and the feature extraction module calculates color mean and variance and shape features. The analysis module analyzes tongue coating distribution, thickness and color, the classification module performs feature classification based on a training data set, and the diagnosis matching module matches the features with a diagnosis standard to obtain a conclusion. The system provides scientific and objective tongue picture analysis, improves the diagnosis efficiency, and promotes the modernization and intellectualization of traditional Chinese medicine diagnosis.

1. Name of the Design Product: Tongue Scraper (Four Types with Round Handle and Ring Groove). 2. Use of the Design Product: For scraping the tongue coating. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photograph that Best Illustrates the Design Key Points: Combined State Reference Drawing. 5. Design 1 is designated as the basic design.

The oral care rod comprises a rod body, a care head is installed at the top end of the rod body, a containing cavity is formed in the rod body, a pair of liquid outlet holes is formed in the top end of the rod body, the liquid outlet holes are symmetrically distributed and communicated with the containing cavity, a liquid storage barrel is arranged in the containing cavity, and a liquid outlet is formed in the top end of the rod body. The liquid storage cylinder is cylindrical, a pair of liquid guide holes is formed in the cylinder wall of the top end of the liquid storage cylinder, and a liquid supplementing piece is arranged in the liquid storage cylinder. The mouth wash can be supplemented at any time according to needs, the nursing head does not need to be dipped in the mouth wash again, friction force between the nursing head and the surfaces of teeth, tongue coating and oral mucosa can be increased through the bristles, so that the cleaning capacity of the nursing head is improved, the anti-skid performance is good, and holding is stable; the oral care rod can be prevented from slipping or slipping out of the hand due to the fact that the hand or the rod body is wetted when the oral care rod is held and used.

This invention provides a method, system, terminal, and medium for separating tongue coating and tongue texture. It involves fusing multiple acquired RGB tongue images using color space channels, then performing Gaussian Mixture Model (GMM) clustering on the resulting fused images to construct a training dataset. This training dataset is then used to train a deep segmentation network to obtain a corresponding tongue coating and tongue texture separation model, enabling the generation of tongue coating and tongue texture separation results based on the input RGB tongue image. This invention achieves tongue coating and tongue texture separation in the objectification of traditional Chinese medicine tongue imagery through a tongue coating and tongue texture separation method based on color multi-channel GMM clustering and deep learning, exhibiting good prediction accuracy and performance.

The present invention relates to a tongue cleaner and provides a tongue cleaner comprising: a handle part that extends in the form of a rod so as to be graspable by hand by a user; and a tongue plague removal part which is formed at one end of the handle part and manipulated by the user to scrape and remove tongue plague stuck to the user's tongue while in contact with the surface of the tongue. The tongue plague removal part includes: a support plate coupled to the one end of the handle part; and a plurality of recessed portions formed on the support plate, wherein each of the plurality of recessed portions is open at the top and has a partition wall that protrudes from the surface of the support plate.

1. Name of the designed product: tongue brush for children. 2. Use of the designed product: for cleaning the oral cavity and tongue coating of children. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

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 present invention relates to a device for scraping saliva from the tongue coating of a live pig for animal virus detection, comprising a base and a horizontal plate movably arranged on the base, wherein the two ends of the horizontal plate are connected to two groups of elastic telescopic mechanisms respectively installed on both sides of the base, and a pressing piece is provided below the horizontal plate, and a gap is reserved between the pressing piece and the base to form a placement area for placing the pig tongue. A round roller is also movably arranged above the base, and the round roller is connected to a manual driving mechanism installed on the base. The manual driving mechanism is used to drive the round roller to flip so that the round roller performs a supporting action on the upper jaw of the live pig. The manual driving mechanism cooperates with the elastic telescopic mechanism. When the round roller flips, the elastic telescopic mechanism is triggered to trigger the pressing piece to perform a pressing action on the pig tongue. The device is simple to use, simplifies the operation of scraping tongue coating and saliva, and is conducive to improving work efficiency.

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.

To provide a pharmaceutical composition exhibiting superior effects in improving oral hygiene, in particular tongue coating and / or halitosis.SOLUTION: Incorporating menthol into a pharmaceutical composition containing Shokyo-shashin-to extract delivers a superior oral hygiene effect.SELECTED DRAWING: None

The invention relates to the technical field of gel production, in particular to a paste making machine and a tongue coating cleaning gel production technology.The paste making machine comprises a stirring shaft, a shaft sleeve and a stirring paddle, the stirring paddle is fixed to the shaft sleeve, the stirring shaft is sleeved with the shaft sleeve, an electricity taking sliding ring is coaxially fixed to the stirring shaft, and the electricity taking sliding ring is connected with the shaft sleeve. A power supply carbon brush abuts against the power taking slip ring, a driver is fixed to the stirring shaft, the driver is electrically connected with the power taking slip ring through a wire, and the driver is used for driving the shaft sleeve to move in the axial direction. According to the invention, an existing paste making machine is improved, so that the stirring paddle of the paste making machine can be controllably lifted, so that gel with different depths in the paste making machine is fully stirred, sufficient shearing force is provided, and the problem that component substances are easy to sink and cannot be effectively stirred and sheared due to poor flowability of the gel is solved.

This utility model discloses an oral cavity and tongue coating cleaning device, relating to the field of tongue coating cleaning technology. It includes a handle, with a mounting plate fixedly connected to the center of the handle's interior. A motor is fixedly mounted at the upper center of the mounting plate, and the motor's output end passes through the upper side of the mounting plate and is fixedly connected to a fixing plate. A connecting rod is fixedly connected to the lower right end of the fixing plate, and a spherical sliding block is fixedly connected to the lower side of the connecting rod. A sliding plate is slidably connected to the lower end of the handle's interior. A sloping groove is formed at the upper center of the sliding plate, and a lifting rod is fixedly connected to the lower center of the sliding plate. A spring is sleeved on the surface of the lifting rod. This utility model, by incorporating a motor, fixing plate, connecting rod, spherical sliding block, sliding plate, sloping groove, lifting rod, spring, and soft brush, effectively improves the cleaning efficiency of the device, ensuring that the tongue coating is thoroughly cleaned and effectively protecting human health.

The article of this design is a tongue brush head, which is used to clean the tongue by removing tongue coating.

1. Name of the design product: Tongue Scraper (Aimil). 2. Use of the design product: For scraping the tongue coating and cleaning the oral cavity. 3. Design key points of the design product: Lies in the shape. 4. Picture or photo that best shows the design key points: Stereogram. 5. This design product is a thin product, and the left view, right view, top view, and bottom view are omitted.

1. Name of the product in this design: Tongue brush. 2. Purpose of this product design: For cleaning the tongue coating. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention discloses a syndrome element recommendation method based on multi-modal adaptive fusion, a medium and equipment. The method comprises the following steps: respectively extracting independent features of a tongue coating / face diagnosis image, a pulse diagnosis signal and a symptom text through pre-training CNN, LSTM and BERT networks; carrying out pixel-by-pixel sparse processing by adopting learnable parameters so as to eliminate redundancy and retain key features; dynamically fusing multi-modal features based on an attention mechanism, and adaptively adjusting the contribution degree of each modal; and finally, evidence element discrimination is realized through a full-connection classifier. The modal specificity is kept through independent feature extraction, the sparse processing and dynamic fusion mechanism are combined, the problems of feature interference and information loss in a traditional method are effectively solved, the accuracy and clinical adaptability of syndrome element recommendation are remarkably improved, and the stable performance can still be kept under the condition that part of modals are missing.

1. Name of the designed product: tongue scraper. 2. Use of the designed product: for cleaning the tongue coating in the oral cavity. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

The invention discloses a TCM syndrome differentiation system for early breast cancer during chemotherapy, including four syndrome types, namely: liver depression and yin deficiency syndrome, corresponding syndrome items are: irritability, thin white tongue coating, forgetfulness, chest and flank distension and pain, dry mouth, hot flashes, chest and abdominal pain, bone pain, abdominal distension, chest tightness; qi and yin deficiency syndrome, corresponding syndrome items are: deep pulse, thin white tongue coating, red tongue, hot flashes, forgetfulness, dry mouth, pale complexion, sore waist and knees, spontaneous sweating, ruddy complexion; spleen deficiency and blood deficiency syndrome, corresponding syndrome items are: pale tongue color, white and greasy tongue coating, pale complexion, dry mouth, poor appetite, thin pulse, fat tongue; qi stagnation and blood stasis syndrome, corresponding syndrome items are: ecchymosis on tongue, blue lips, varicose veins under tongue, stringy pulse, dark complexion, numbness of limbs, oral ulcers. The invention also discloses a construction method and application of the system. The invention provides a theoretical basis for the standardized TCM treatment of patients in the chemotherapy period of early breast cancer, and has broad application prospects.

Provided are a group of biomarkers for diagnosing hypertension in children, a test kit, and a use thereof. By means of collecting tongue coating / intestinal samples of obese children with hypertension, obese children, and healthy people, performing metagenomic sequencing, and using bioinformatics to calculate statistics on sequencing data, disease-related tongue / intestinal flora is found, and the tongue / intestinal flora is integrated with disease information to obtain a combination of flora biomarkers. A binary classification prediction model constructed by means of said combination can maximally detect obese children with hypertension.

The utility model discloses a tongue fur cleaning brush, which relates to the field of oral cavity cleaning devices and comprises a connecting rod, an upper connecting insertion rod is arranged on the outer surface of the upper end of the connecting rod, a lower connecting insertion rod is arranged on the outer surface of the lower end of the connecting rod, and a brush body is arranged on the outer wall of the upper connecting insertion rod. Tongue fur cleaning bristles are arranged on the outer surface of the front end of the brush body, and a saliva receiving structure is arranged on the outer wall of the connecting rod. According to the tongue fur cleaning brush, saliva flowing down from the outer wall of the grip can be received through the saliva receiving structure and the anti-slip structure when the tongue fur cleaning brush is used, the saliva is prevented from flowing into the hand of an operator from the outer wall of the grip, cleaning of the operator is not affected, and secondly, in the operation process of the tongue fur cleaning brush, the saliva can be prevented from flowing down from the outer wall of the grip to the hand of the operator. The holding stability of the brush is improved, and the brush is prevented from falling off from the hand of an operator to influence the operation of the brush.