7 results about "Tongue coat" patented technology

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 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.

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 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 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 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.

1. Name of the product in this design: Tongue cleaner (H-341). 2. Purpose of this design: For use with a tongue scraper. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.