61 results about "Tongue coating" patented technology

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.

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.

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.

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.

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.

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.

1. Name of the design product: tongue cleaner. 2. Use of the design product: the design product is mainly used for tongue cleaner for cleaning tongue coating. 3. Design points of the design product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

1. Name of the design product: adult tongue cleaner. 2. Use of the design product: for cleaning the tongue coating. 3. Design points of the design product: in shape. 4. Picture or photo best indicating the design points: perspective view. 5. The left view is omitted as the design points have been embodied in other views.

The invention provides a tongue picture end-to-end analysis method based on a mixed attention and converter network, and belongs to the technical field of computer-aided medical diagnosis. A human tongue image is collected, and a tongue image segmentation and classification standard data set is constructed for network training. A multi-task network model is used to share potential feature information among different tasks through a shared feature extraction network, and a tongue body segmentation task and a tongue picture classification task are combined. The correlation between different attributes of the tongue picture is considered, various feature classification tasks of the tongue picture are defined as multi-label classification tasks, and the classification of tongue color, tongue coating color, coating thickness, whether the tongue surface has cracks or not and whether the tongue body has tooth marks or not is realized. According to the method provided by the invention, tongue body segmentation and tongue picture multi-label classification can be completed at the same time, and end-to-end analysis of tongue picture multi-label features is realized. In order to alleviate the common feature competition problem in the multi-task network, adapters are designed for the segmentation and classification task branches respectively. In order to improve the segmentation precision of the network for the tongue body edge, a local-global attention module is designed, so that the network can give consideration to the segmentation precision of the tongue body part and the edge part.

An electric toothbrush integrating vibration, rotary tooth brushing and rotary tongue coating brushing is characterized in that a brush head mounting rod is arranged above a sleeve, a rotary brush head is mounted on the front surface of the upper part of the brush head mounting rod, a fixed brush head is arranged at the tail end of the brush head mounting rod, and a tongue coating brush head is arranged on the back surface of the brush head mounting rod corresponding to the position between the rotary brush head and the fixed brush head; the rotating brush head is installed on the brush head installation rod through a first rotating head inserted from the back face, and the tongue coating brush head is installed and connected through a second rotating head embedded in the brush head installation rod. The battery box is located at the bottom of the sleeve and electrically connected with the circuit board, the rotating motor is arranged above the battery box, the sound wave vibration motor is installed above the rotating motor, and the sound wave vibration motor and the rotating motor are both electrically connected with the circuit board. The lower end of the transmission shaft penetrates through a hollow groove of the sound wave vibration motor to be rotationally connected with the rotating motor, the sound wave vibration motor is combined with a cam rotating structure, the vibration function and the rotating function of the electric toothbrush are integrated, and teeth and tongue coating in the oral cavity can be conveniently cleaned.

1. Name of the designed product: packing tube (Bai Baoli packing design DA). 2. Use of the designed product: for packing of tongue coating paste. 3. Design points of the designed product: in the combination of shape, pattern and color. 4. Picture or photo best indicating the design points: front view. 5. The claimed design contains color.

1. Name of the designed product: tongue cleaner (A). 2. Use of the designed product: the designed product is used for cleaning the interdental space and tongue coating. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

The invention relates to the technical field of image segmentation, in particular to a tongue coating segmentation image and digestive disease classification method. According to the method, the position of a particle center point is determined by introducing multi-scale LoG filtering, and tongue particles and tongue coating particles are distinguished according to the law of spatial distribution and density change characteristics; according to the method, local adaptive threshold adjustment is carried out on other pixel points through the change of uneven particle density of different parts, more accurate tongue coating areas and tongue quality areas are obtained through division, and subsequent classification is carried out based on the tongue coating areas and the tongue quality areas. According to the method, the tongue coating area is divided more accurately through multi-scale LoG filtering and spatial statistical characteristics, a reliable data basis is provided for subsequent auxiliary classification of digestive diseases, and the classification accuracy is improved.

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.

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

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.

1. Name of the designed product: tongue cleaner for children. 2. Use of the designed product: clean the residual tongue coating. 3. Design points of the designed product: the combination of shape and pattern. 4. Picture or photo that best shows the design points: perspective view. 5. The design contains colors.

1. Name of the designed product: tongue cleaner. 2. Use of the designed product: tongue cleaner. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

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

This invention discloses a method, system, device, and storage medium for constructing an intelligent diagnostic model for TCM tongue imagery, addressing the shortcomings of traditional tongue diagnosis, such as strong subjectivity, difficulty in quantification, and the crude feature extraction, weak integration with TCM theory, and lack of personalized intervention in existing AI systems. Through structured guidance, it achieves a closed-loop health management process encompassing tongue image collection, tongue coating localization, multi-dimensional feature extraction, constitution identification, and personalized dietary intervention. High-precision segmentation of the tongue and tongue coating, along with structured extraction of multi-dimensional tongue image features, enables high accuracy in constitution identification, generating personalized dietary recommendations and dynamic health management, thus improving the objectivity, repeatability, and clinical applicability of TCM tongue diagnosis. Users only need to take a picture of their tongue; the system outputs a complete analysis report within seconds, achieving "diagnosis upon tongue image capture." This is applicable to diverse scenarios such as home self-examination, community health monitoring, and remote TCM consultation, promoting the widespread adoption of TCM tongue diagnosis technology.

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.