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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

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 scraping devices, in particular to a live pig tongue coating and saliva scraping device for animal virus detection. Comprising a scraping piece and a handle, the handle is composed of a threaded rod and a threaded sleeve, one end of the threaded rod is fixedly provided with a rotary sampling assembly, the rotary sampling assembly comprises a connecting frame fixedly arranged at one end of the threaded rod, the connecting frame is rotationally provided with a rotating cylinder, and a plurality of connecting rods are evenly distributed around the rotating cylinder; the number of the scraping pieces is multiple, the multiple scraping pieces are connected to the multiple connecting rods in a buckled mode respectively, and each connecting rod is provided with two limiting assemblies for limiting the positions of the scraping pieces. The utility model provides a live pig tongue coating and saliva scraping device for animal virus detection, which can collect a plurality of samples at one time and can adjust the length of a handle.

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.

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.

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.

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.