33 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.

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

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 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 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 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 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.

The invention discloses a traditional Chinese medicine tongue diagnosis intelligent analysis method based on a visual language model, and belongs to the cross technical field of artificial intelligence and traditional Chinese medicine diagnosis. According to the method, firstly, a high-quality tongue picture-tongue diagnosis structured description data set is constructed, a mode of 'GPT automatic labeling + traditional Chinese medicine expert auditing' is introduced, the manual labeling cost is remarkably reduced, and the data consistency is improved. On the basis, a Qwen-VL-based traditional Chinese medicine tongue diagnosis visual large model framework is provided, unified modeling of tongue picture understanding and tongue diagnosis generation is realized, and a structured JSON result containing indexes such as tongue color and tongue coating color and corresponding natural language description can be automatically generated according to a tongue picture image. Besides, a knowledge guide fine tuning mechanism is designed, and tongue diagnosis knowledge prompt is injected in a model fine tuning stage, so that the model is constrained by traditional Chinese medicine knowledge in the semantic recognition and generation process of the tongue body, the tongue coating and the like, and the accuracy of tongue diagnosis feature understanding and the consistency of generation are improved. According to the method, objective, standardized and intelligent development of tongue diagnosis is remarkably promoted.

The invention discloses a heart failure traditional Chinese medicine syndrome type tongue picture-pulse diagnosis fusion analysis system and method, and relates to the technical field of traditional Chinese medicine intelligent diagnosis, and the method comprises the following steps: obtaining a pulse wave multi-scale spectrum feature matrix and a tongue coating partition matrix of a target object; and for the tongue coating partition matrix and the pulse wave spectrum feature matrix, independently establishing a time sequence mapping function for each tongue region, and carrying out time warping alignment in a manner of jointly constraining a time mapping path by combining a set phase anchor point and a structure anchor point, so as to generate a tongue and pulse combined feature matrix. According to the scheme, the mapping function is independently constructed through tongue regions, the problem that local time sequence correspondence of multi-source heterogeneous data is inaccurate is effectively solved, the dynamic corresponding relation between different tongue regions and pulse wave characteristics can be accurately captured in combination with physiological event marks and space correlation constraints, the time-space consistency of tongue pulse characteristic fusion is improved, and the fusion accuracy is improved. Therefore, a more reliable fusion feature matrix is provided for subsequent syndrome type judgment.

The utility model relates to the technical field of auxiliary tools for traditional Chinese medicine treatment, in particular to a structure for assisting analysis and comparison of tongue fur and tongue pictures. The utility model provides a structure for assisting the analysis and comparison of tongue coating and tongue pictures, which is characterized in that the positioning of tongue coating or tongue body colors is different due to personal experience or subjective reasons, and the existing tongue coating detection equipment is complicated in structure and inconvenient to carry, and comprises a color comparison part and a handheld part, the color comparison part is connected with one end of the handheld part, and the other end of the handheld part is connected with the other end of the color comparison part. The color comparison part comprises a tongue coating color comparison part and a tongue body color comparison part, a tongue coating color area is arranged on the tongue coating color comparison part, and a tongue body color area is arranged on the tongue body color comparison part. The color comparison device is simple and small in structure, portable and easy to popularize and use, and various color areas of the comparison structure can directly correspond to tongue coating colors of a patient; a beginner can distinguish diseases according to corresponding colors to solve problems, and the difference of judgment due to personal experience or subjective reasons is reduced.

The invention relates to the technical field of tongue diagnosis image enhancement processing, in particular to a traditional Chinese medicine chronic cough syndrome differentiation detection method based on tongue diagnosis image enhancement, and the method comprises the steps: obtaining a tongue diagnosis gray image of a patient; and analyzing the roughness of the tongue coating embodied in the gray-level co-occurrence matrix of each edge pixel point in each direction, and combining the difference degree of the roughness of the tongue coating corresponding to each direction to obtain the multi-direction crack significance of the dry crack of the tongue coating in the local area of each edge pixel point. By analyzing the average level and the change condition of the multidirectional crack significance of the edge pixel points near each edge pixel point, acquiring the body fluid loss attention of each pixel point, and according to the body fluid loss attention, performing contrast enhancement on the tongue diagnosis grayscale image by adopting a self-adaptive contrast enhancement algorithm, so as to obtain the image of the tongue diagnosis grayscale image. And detecting the chronic cough by combining the convolutional neural network with the enhanced tongue diagnosis image. According to the invention, the tongue diagnosis image can be significantly enhanced, and the contrast enhancement precision of the tongue diagnosis image is improved.

The invention relates to the field of artificial intelligence and health management, in particular to a multi-modal health state assessment method fusing tongue image, heart rate and text, which takes the tongue coating condition as the main judgment basis, measures the heart rate of a user, and combines the body condition manually input by the user, the text information such as past medical history and the like to assess the health state of the user. A DeepSeek large model is used for giving a health state evaluation result, a user is assisted to effectively judge the physical condition of the user, in a tongue picture analysis module, YOLOv8 is used for positioning a tongue body area, and a ResNet18-Transform mixed architecture model is used for tongue coating classification; in the heart rate measurement module, a cascade classifier is used for carrying out face detection, and after it is determined that a user directly faces a camera, the heart rate is measured through an Euler video amplification algorithm; and in a suggestion generation module, a DeepSeek large model is guided through cue word engineering to analyze the multi-modal information, and a targeted health state evaluation result is generated.

We provide a tool that combines tongue coating removal and oral function training to prevent and improve oral dysfunction. [Solution] A tongue spatula is constructed by integrating a curved spatula section for removing tongue coating, a rod-shaped section that assists in adjusting the position of the corners of the mouth and the tip of the tongue, and a bifurcated section that pushes up the base of the tongue. Depending on how it is used, it can have effects such as maintaining and improving oral function, preventing bad breath, improving swallowing, and activating facial muscles.

The present invention has been made to solve the above-described problems, and an object of the present invention is to develop and provide a tongue brushing stick for removing tongue coating and improving tongue function, which enables even an elderly person or the like who is a person to be cared for to actively and pleasantly deal with tongue coating, which has no risk of tooth decay, which can easily remove tongue coating, which can avoid occurrence of aspiration, and which can maintain and improve tongue function by preventing deterioration of tongue function.SOLUTION: The tongue-polishing stick candy for removing tongue coating and improving tongue function has a nearly spherical swelling or a projection part in the vicinity of the tip part of the core rod of the stick candy, holds a candy component on the outer periphery of the nearly spherical swelling or the projection part, and is characterized in that the candy component is xylitol having cariostatic properties and non-cariostatic reduced malt syrup as sweeteners.SELECTED DRAWING: Figure 2

The utility model relates to the technical field of tongue coat cleaning, in particular to a tongue coat cleaner for coma patients, which comprises a connecting block, a long rod is inserted in the middle of the connecting block in a sliding manner, a silica gel scraper is fixed on one side of the bottom end of a cleaning head, and a sliding block is arranged in the long rod in a sliding manner. According to the oral cavity cleaning device, the connecting block, the long rod, the sliding block, the reset spring, the moving column, the clamping block, the formed clamping groove and the formed sliding groove are used in cooperation, the depth length of the cleaning head can be adjusted in advance according to the oral cavity depth of a patient, and therefore the situation that the cleaning head goes deep too deep due to hand shaking or external force interference of an operator is effectively avoided. And through cooperative use of a mounting connecting block, an L-shaped rod, an extension rod, a non-slip mat, a sliding rod and a roller, the device can support a long rod and a cleaning head in the use process, and meanwhile, the angle and position of the cleaning head can be flexibly adjusted according to specific conditions.

The utility model discloses a tongue coating cleaning device for oral care. The tongue coating cleaning device comprises a shell, a brush plate, a transmission mechanism, a driving piece, a liquid injection pipe, a liquid storage bin and a tongue scraping plate. The transmission mechanism is installed in the shell and comprises a transmission chain and two transmission wheels, one transmission wheel is fixedly connected with a brush plate, the other transmission wheel is fixedly connected with the output end of the driving part, the driving part outputs rotary motion, and the rotary motion is converted into rotation of the brush plate through transmission of the transmission part; the driving piece is fixedly mounted at one end of the shell; the tongue scraping plate is connected to the other end of the shell in a sleeving manner; the liquid injection pipe is an annular pipeline and is provided with a plurality of liquid spraying openings with downward openings; the plurality of liquid spraying openings are circumferentially arranged and surround the periphery of the brush plate; the upper portion of the liquid spraying pipe is connected to a liquid storage bin through a communicating pipe. And through the combination of the brush plate and the liquid spraying pipe, liquid spraying is carried out in the brushing process, and the cleaning efficiency is improved.