47 results about "Tongue coat" patented technology

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 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 utility model discloses an evaluation spoon for improving a volume viscosity test, which comprises an injector and a feeding auxiliary mechanism, a mounting part is arranged on the injector and is positioned on the side edge of an injection port of the injector, the feeding auxiliary mechanism comprises a rotating shaft, a propping spoon and a pressing plate, the rotating shaft is rotationally arranged in the mounting part, the propping spoon is fixedly connected with the front side of the rotating shaft, and the pressing plate is fixedly connected with the propping spoon. A pressing plate is fixedly connected to the rear side of the rotating shaft and used for driving the abutting spoon to vertically swing around the rotating shaft. Through the arrangement of the rotating shaft, the abutting spoon and the pressing plate on the feeding auxiliary mechanism, when the feeding auxiliary mechanism is used, the rotating shaft can be driven to rotate when the pressing plate is pressed downwards towards the direction of an injector by medical staff, so that the abutting spoon connected with the rotating shaft swings at a certain angle, and the abutting spoon can be used for pressing the coated tongue of a patient downwards; the food can be smoothly guided into the oral cavity of the elderly patient, so that the elderly patient with hemiplegia, sarcopenia and the like can easily grasp the food, and can conveniently use a spoon and take food through the mouth.

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.

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.

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 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.

The present invention relates to the technical field of computer application in TCM constitution identification, and in particular to an intelligent tongue coating detection system based on the YOLOv5 deep learning algorithm. The system comprises an acquisition device and a processing system for acquiring tongue images, wherein the processing system comprises: a standard scene sample data set; a target detection module, which is used to judge the integrity and standardization of the tongue image acquired by the acquisition device in real time, and output a qualified tongue image; the target detection module constructs a detection network based on the YOLOv5s framework, the detection network performs multi-scale feature extraction and fusion on the qualified tongue image, compares the image with the standard scene sample data set, and outputs the qualified tongue image after quality inspection; a pathology analysis module is used to perform deep feature extraction on the qualified tongue image that passes the quality inspection of the target detection module, perform feature comparison with the standard scene sample data set, and output the detection result. The present invention achieves millisecond-level response through an event-driven architecture, ensuring acquisition efficiency and data reliability.

The utility model relates to the technical field of oral cavity cleaning, and discloses a stomatological saliva suction device which comprises a supporting rubber ring, an upper biting block is fixedly installed in the middle of the top of the supporting rubber ring, a lower biting block is fixedly installed in the middle of the bottom of the supporting rubber ring, and a coated tongue supporting saliva suction mechanism is installed in the supporting rubber ring. The tongue coating supporting saliva suction mechanism comprises supporting frames fixedly installed on the two sides of the inner wall of the supporting rubber ring, an abutting plate fixedly installed on the other sides of the two supporting frames, a cavity formed in the abutting plate, and multiple sets of water suction ports which are communicated with the cavity and distributed at equal intervals. According to the utility model, the abutting plate in the tongue coating supporting saliva suction mechanism can extrude the tongue coating at the bottom of the oral cavity when the supporting rubber ring is supported in the oral cavity of a patient, and can drive the negative pressure equipment communicated with the negative pressure pipe, so that negative pressure can be conveyed into the cavity, and saliva accumulated in the oral cavity of the patient can be absorbed; the cleanness in the oral cavity of the patient is effectively ensured.

The invention provides application of a biomarker in preparation of a product for predicting damp-heat syndrome of chronic atrophic gastritis, and the biomarker comprises TM7x bacteria, and further comprises at least one of kiwifruit bacteria, actinomycetes, twin coccus and phenylacetic acid. Compared with traditional gastroscopy, the tongue coating biomarker obtained by screening through a bioinformatics method provides a non-invasive diagnosis method, so that the compliance of a patient is improved. According to the method, the medical cost is reduced, the diagnosis feasibility and accuracy are improved, and the method not only can be used for diagnosing the chronic atrophic gastritis damp-heat syndrome, but also can be popularized to early screening and prevention.

The present invention discloses a method for identifying the oldness and tenderness of traditional Chinese medicine tongue quality based on image inpainting and convolutional neural network. The original tongue image is obtained, and the tongue body segmentation model is used to segment the tongue image to obtain the tongue body segmentation image; the Gaussian mixture model is used to separate the tongue coating and tongue quality of the tongue body segmentation image; the tongue quality image is obtained; a tongue quality image inpainting model is established based on the generative image inpainting network, and the tongue quality image is repaired by using the tongue quality image inpainting model to obtain a tongue quality repaired image with continuous texture features and color changes; the improved residual network is used to extract features and classify the dataset of the tongue quality repaired image obtained after repair, and a tongue quality oldness and tenderness identification model is established; the tongue quality oldness and tenderness identification model is used to identify the oldness and tenderness of the tongue quality. The present invention can avoid the influence of the tongue coating on the identification of the oldness and tenderness of the tongue quality, and the features obtained through self-learning can reflect richer tongue quality color and texture features, achieving a good effect on the identification of the oldness and tenderness of the tongue quality.

The present invention relates to the technical field of tumor diagnosis, prediction, and evaluation, and particularly relates to a tumor prediction system, method, and its application based on tongue coating microorganisms. The system includes a microorganism information acquisition module configured to acquire tongue coating microorganism information of a test sample, and a data processing module configured to obtain the probability that the test sample belongs to tumor positive by the following operation. The data processing module predicts the probability that the test sample belongs to positive based on the discriminative features on the tongue coating microorganism information obtained by automatic learning. Based on the abundance of different species and genera in tongue coating microorganisms, the probability that different test samples belong to tumor positive is automatically predicted, and this is used as an economic, non-invasive, highly efficient, and accurate early tumor screening policy.

The invention discloses an intelligent kidney disease type identification method and system based on a tongue coating image and a storage medium, relates to the technical field of intelligent medical treatment, and aims to solve the problem that a chronic kidney disease prediction method based on the tongue coating image is lacked in the prior art. The method comprises the following steps: S1, collecting tongue coating image data and medical record data of a patient, preprocessing the medical record data, and inserting the tongue coating image data of the patient into the corresponding medical record data; s2, constructing a tongue coating image feature extraction model, and training the tongue coating image feature extraction model by using the tongue coating image data; s3, performing feature extraction on the tongue coating image data by adopting the trained tongue coating image feature extraction model to obtain a tongue coating feature vector, combining the tongue coating feature vector with a corresponding medical record vector to obtain an embedded vector, and training an SVM classifier; and S4, integrating the trained tongue coating image feature extraction model and the SVM classifier to obtain a kidney disease type identification model based on the tongue coating image.

The invention discloses a tongue picture quantitative analysis method and system based on texture and hyperspectral features, and relates to the technical field of tongue picture image processing. The method comprises the following specific steps: acquiring a hyperspectral image of a tongue picture and marking a tongue coating position contour, greasy coating grade information and tongue coating thickness grade information; establishing a tongue coating segmentation model, and segmenting the tongue coating position area of the hyperspectral image to obtain the relative area of the tongue coating area; in the tongue coating area, texture features and hyperspectral features of the tongue coating are calculated and extracted; constructing a first convolutional neural network model, and training the first convolutional neural network model by taking the hyperspectral features of the tongue coating region and the tongue coating thickness grade information as input to obtain a tongue coating thickness discrimination model; a second convolutional neural network model is constructed, the texture features and the hyperspectral features of the tongue coating area are used as input for training, and a greasy coating grade discrimination model is obtained; and carrying out tongue fur quantitative analysis on the tongue picture through a tongue fur thickness discrimination model and a greasy fur grade discrimination model.

The utility model relates to the technical field of oral cavity cleaning tools, in particular to a tongue coating brush head and a tongue coating cleaner, the tongue coating brush head comprises a main body ring and supporting strips, the supporting strips are connected with two opposite inner sides of the main body ring, and a plurality of scraping pieces which are parallel to one another and are arranged at intervals are arranged on the supporting strips in a protruding mode; wherein the scraping blades are used for scraping and brushing the tongue coating, the scraping blades arranged in multiple layers can achieve the effect of scraping and brushing the tongue coating once for multiple times, and the cleaning effect of the brush head can be improved; the scraping blade extends in the length direction of the supporting strip, so that the one-time scraping and brushing area can be increased, and the cleaning efficiency is improved; meanwhile, the main body ring is divided into two scraping groove areas by the supporting strip, the scraping grooves are formed in the two sides of the extending direction of the supporting strip, when much dirt on the tongue coating exists, the dirt can be brought out together after entering the scraping grooves, meanwhile, due to the design of the double scraping grooves, the dirt can be stored to the maximum extent, dirt residues are reduced, and the cleaning effect is further improved.

The invention discloses a tongue body and tongue coating segmentation method and device based on color clustering and spatial positions, and relates to the technical field of image segmentation, and the method comprises the steps: obtaining the spatial positions and color information of pixel points in a tongue image; converting the color space of the preprocessed tongue image from RGB to LAB, carrying out fusion and clustering analysis on LAB color feature parameters of pixel points and U-shaped spatial position weights, dividing to obtain a tongue coating candidate category and a tongue body candidate category, determining the areas of the tongue coating pixel category and the tongue body pixel category, and determining the tongue coating pixel category and the tongue body pixel category; and outputting a segmentation result of the tongue coat and the tongue body in the tongue image. According to the method, the spatial U-shaped position weight conforming to the tongue anatomical features is fused and clustered with the LAB color feature parameters, so that the technical problem of insufficient segmentation precision of a special region caused by neglecting the spatial structure of an existing tongue and tongue coating segmentation method is solved, and the tongue coating and tongue segmentation accuracy is remarkably improved.

The invention discloses a traditional Chinese medicine tongue coating image analysis method based on deep learning, and the method employs an innovative region-texture dual-channel fusion network which comprises a parallel region space attention channel and a multi-scale texture enhancement channel. The ZSAC simulates the idea of'partitioning and fixing viscera 'in traditional Chinese medicine, and focuses the model on a key diagnosis area by using a space attention mechanism; the MTEC adopts multi-expansion-rate cavity convolution to specially capture fine texture features such as thickness, greasy rot and the like of the coated tongue. And after the features output by the two channels are fused, synchronous and accurate analysis of multiple attributes such as the coating color and the coating quality is realized through a multi-task learning framework. According to the method, traditional Chinese medicine priori knowledge and a deep learning model are deeply fused, and the accuracy, robustness and interpretability of analysis are remarkably improved.

The utility model relates to the technical field of oral cavity cleaning, and discloses an oral cavity cleaning device which comprises a tongue coating scraping head part, a holding part and a liquid storage bag part, the bag body is embedded in the holding part, a guide pipe connected with the bag body is arranged in a ring frame, and a bypass pipe head of the guide pipe is connected with a liquid outlet hole. The tongue coating scraping head part is used for scraping the tongue coating to remove substances on the surface of the tongue, meanwhile, during scraping and cleaning, the bag body is pressed to convey the oral cavity cleaning liquid stored in the bag body to the liquid outlet through the guide pipe to flow out, and the flowing-out oral cavity cleaning liquid cleans the tongue coating when the tongue coating scraping head part scrapes the tongue coating. And the operation of scraping and liquid discharging and cleaning at the same time is achieved, and the tongue coating cleaning effect is better.

The invention belongs to the technical field of tongue coating cleaners, and discloses an easy-to-use novel tongue coating cleaner which comprises a tooth socket and a cleaning brush, the tooth socket comprises a horizontally-arranged arc-shaped base plate and two arc-shaped protrusions connected to the upper end of the arc-shaped base plate, the two arc-shaped protrusions are arranged in parallel, and the distance between the two arc-shaped protrusions is 3-6 mm; the lower end of the arc-shaped base plate is connected with a plurality of cleaning brush rows evenly distributed in the width direction of the arc-shaped base plate, each cleaning brush row comprises a plurality of cleaning brushes evenly distributed in the length direction of the arc-shaped base plate, and each cleaning brush is of a barb structure with the cross section gradually becoming smaller from top to bottom. According to the tongue coat cleaning device, the upper jaw is matched with the tongue, the cleaning brush can be used for cleaning the tongue coat, dirt on the tongue coat can be rapidly and conveniently removed in a mode of matched cleaning of organs of a human body, and meanwhile the behaviors such as nausea, retching and vomiting are completely avoided.

The present application relates to the technical field of tongue diagnosis image enhancement processing, and specifically to a method for detecting chronic cough syndrome differentiation in traditional Chinese medicine based on tongue diagnosis image enhancement, comprising: obtaining a patient's tongue diagnosis grayscale image; analyzing the tongue coating roughness reflected in the grayscale co-occurrence matrix of each edge pixel point in each direction, and combining the degree of difference in the tongue coating roughness corresponding to each direction to obtain the significance of multi-directional cracks in the tongue coating of the local area of ​​each edge pixel point; by analyzing the average level and change of the multi-directional crack significance of edge pixels near each edge pixel point, obtaining the fluid loss attention of each pixel point; and using an adaptive contrast enhancement algorithm based on the fluid loss attention to perform contrast enhancement on the tongue diagnosis grayscale image, and using a convolutional neural network in combination with the enhanced tongue diagnosis image to detect chronic cough. The present application can significantly enhance the tongue diagnosis image and improve the contrast enhancement accuracy of the tongue diagnosis image.

The invention relates to a dynamic closed-loop tongue moss separation method based on an improved UNet, and belongs to the technical field of medical information and health data processing. The method comprises the following steps: training a tongue body segmentation UNet model by adopting a mixed loss function, segmenting to obtain an image only containing a tongue body, further carrying out coating separation on the image only containing the tongue body by adopting a UNet network, introducing gradient weighting class activation mapping to generate a high-resolution thermodynamic diagram, carrying out gray dimension reduction, and carrying out Sobel operator edge enhancement to generate a gradient amplitude image; and merging the gradient magnitude image and the original tongue-only-containing image, inputting the merged image into the tongue coating separation UNet network to obtain a tongue coating segmentation image, dynamically feeding back and adjusting the weight of each layer of the tongue coating separation UNet network according to the importance of the quantitative characteristics of the thermodynamic diagram, and finally realizing accurate separation of the tongue coating. According to the method, high-precision and high-robustness tongue picture quantitative analysis is realized through a collaborative optimization mechanism of mixed loss function design, dynamic feature visualization and edge enhancement feedback.

A ball head structure oral cavity cleaner, comprising a hand-held structure handle; the top of the handle is sleeved with a ball head cap, the bottom of the handle is integrally connected with a threaded sleeve layer, the threaded sleeve layer is screwed with a stud through the internal thread structure, the bottom of the stud is provided with a driving base, the top of the stud extends along the handle, and the top of the stud is synchronously provided with a cleaning ball, and the cleaning ball is sleeved in the ball head cap. A ball head cleaner capable of cleaning the oral cavity and tongue coating through an electric driving structure, the application provides a disposable sponge layer which is in direct contact with the oral cavity, the sponge layer can accommodate cleaning liquid to assist in cleaning the oral cavity, and the sponge layer is in friction form with the oral cavity and tongue coating through soft contact to polish the oral cavity and tongue coating, remove the bacteria and residues in the oral cavity; the disposable sponge layer can be replaced for next use.

This invention relates to the fields of oncology diagnosis, prediction, and assessment, and particularly to a tumor prediction system, method, and application based on tongue coating microorganisms. The system includes: a microbial information acquisition module configured to acquire tongue coating microbial information of a test sample; and a data processing module configured to obtain the probability that the test sample is tumor-positive by predicting the probability of a positive result based on discriminative features of the tongue coating microbial information obtained through automatic learning. The system automatically predicts the probability of different test samples being tumor-positive based on the abundance of different species and genera in the tongue coating microorganisms, thus providing an economical, non-invasive, efficient, and accurate early tumor screening strategy.

The invention discloses a marker screening method, medium and equipment for distinguishing atrophic gastritis damp-heat syndrome, and the method comprises the following steps: obtaining a testee tongue coating sample, carrying out microbiomics and non-targeted metabonomics analysis on the testee tongue coating sample, and respectively obtaining tongue coating flora marker data and tongue coating metabolite marker data; and fusing the two types of data to construct a fusion feature vector, and inputting the fusion feature vector into a trained prediction model to output a risk level or a classification result for indicating that the subject suffers from the chronic atrophic gastritis damp-heat syndrome. According to the method, through deep fusion of multiple omics data, complex interaction between microorganisms and metabolites is effectively captured, and the accuracy and reliability of distinguishing and screening the damp-heat syndrome of the atrophic gastritis are remarkably improved.

The invention discloses a tongue coating-syndrome type associated knowledge graph construction method and system, and belongs to the field of traditional Chinese medicine informatization, and the method comprises the steps: obtaining tongue picture image data and traditional Chinese medicine syndrome description data; extracting multi-level tongue picture topological features from the tongue picture image by using a feature extraction network, and extracting multi-level semantic topological features from the syndrome description by using a semantic analysis network; constructing a topological manifold alignment model, performing parameterized representation on the manifolds through a local linear embedding technology, designing adaptive distance measurement to calculate a geodesic distance, determining manifold anchor points based on tongue picture-syndrome pairs labeled by experts, and realizing alignment of the two manifolds; taking the feature representation as a knowledge graph node, determining an association relationship based on topological similarity, and constructing a tongue coating syndrome type association knowledge graph; tongue image topological features of a new patient are extracted and mapped to a knowledge graph, similar syndrome types are identified through topological path reasoning, a syndrome differentiation result is generated in combination with individual conditions of the patient, the syndrome differentiation accuracy is improved, and personalized syndrome differentiation treatment is achieved.

The oral irrigator nozzle comprises a nozzle body, a containing groove is formed in the front end of the nozzle body, two rotating seats are symmetrically arranged on the upper portion in the containing groove, a first rotating block is arranged between the two rotating seats in a rotating mode, and a notch is formed in the end, away from a rotating shaft of the first rotating block, of the first rotating block; a rotating plate is rotationally arranged in the notch, the rotating plate is in a long strip shape and located in the containing groove, and a ring body is arranged at the end, away from a rotating shaft of the rotating plate, of the rotating plate. According to the tongue coating scraping device, a user normally holds the nozzle and enables the multiple coating scraping battens to be attached to the upper surface of the tongue and normally slide up and down along the upper surface of the tongue, the coating scraping battens can hang off the coating on the tongue, the effect of cleaning the coating on the tongue is achieved, the ring body, the transverse rod and the coating scraping battens can be washed with water, and after use, the coating scraping battens can be used for scraping the coating on the tongue. The storage box can be completely stored in the storage groove; on the basis of a traditional oral irrigator nozzle, the function of cleaning the coated tongue is added, and the functions are more diversified.

The utility model relates to the technical field of oral care, and discloses an oral care tool set which comprises a tool box and a box cover, an inner cavity of the tool box is divided into a mechanism cavity and a spring compression cavity through a partition plate, and a compression spring is arranged between two side walls of a U-shaped limiting plate in the spring compression cavity. The tool rods are in threaded connection with the supporting plate of the control part, the toothbrush heads, the tooth hooks, the tongue coating brushes and the annular tongue scrapers are arranged at the top ends of the tool rods respectively, and the toothbrush heads, the tooth hooks, the tongue coating brushes and the annular tongue scrapers can be pushed out of the tool box through cooperation of the control part, the compression springs and the tool rods for oral care. The tool box can automatically reset and retract into the tool box under the action of the compression spring, the requirement that various oral care tools need to be used in the oral cleaning process is met, and meanwhile the tool box is convenient to carry outdoors and more convenient to use in public washing places.

The invention discloses a tongue picture feature analysis method, which effectively reduces the influence of external factors on the image by standardly collecting a tongue picture image and requiring a collected person to stretch out the tongue and place a color card, and improves the color accuracy of the tongue picture image by comparing the color card with a standard value and obtaining a color deviation coefficient for color correction; a tongue body and a color card image are automatically extracted by adopting a tongue body segmentation algorithm, the processing efficiency is improved, the image after color correction is processed by a tongue coat and tongue quality separation algorithm to obtain a tongue coat and tongue quality image, subsequent detailed analysis is facilitated, a tongue coat feature analysis algorithm can judge the color and the thin greasy degree of the tongue coat, and a tongue quality feature analysis algorithm provides features such as tongue quality color. In addition, the tooth mark, crack and ecchymosis recognition algorithm can automatically recognize abnormal features of the tongue body, a series of intelligent processing provides an auxiliary diagnosis tool for doctors of traditional Chinese medicine, and the efficiency and accuracy of traditional Chinese medicine diagnosis are remarkably improved.