Health state identification system based on dynamic change of face and tongue pictures in traditional Chinese medicine
A health status, dynamic change technology, applied in medical automated diagnosis, health care informatics, medical imaging, etc., to achieve accurate results, accurate and reliable output results, and novel forms
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Embodiment 1
[0066] Such as figure 1 As shown, a health status identification system based on the dynamic changes of facial and tongue images in traditional Chinese medicine includes a facial and tongue image acquisition module, an information entry module, and a server (the server can be a cloud server), and the server includes a user management unit, a medical record management unit and data processing unit;
[0067] The face-tongue image collection module is used to collect the user's face-tongue image data and upload them to the medical record management unit; wherein, the following requirements need to be met during the face image collection: (1) The complete face is exposed, and the front of the face is completely positioned on the collection mask (2) It is best not to make up, so as not to affect the collection of complexion information and lip color information. The following requirements must be met when collecting tongue images: (1) The entire mouth is exposed, and the front of ...
Embodiment 2
[0105] The difference between this example and Example 1 is that step S031 uses the gray relational analysis method to compare the analysis data (about 10 items) with other typical symptoms of a certain chronic disease (such as typical symptoms of COPD include lethargy, hyperhidrosis, nasal congestion, Joint pain, etc., about 40 kinds of symptoms) for correlation analysis, output the correlation between the user and each typical symptom, the specific steps are:
[0106] S031: Convert the analysis data into a comparison sequence , and other typical symptoms of a chronic disease (such as typical symptoms of COPD include lethargy, hyperhidrosis, nasal congestion, joint pain, etc., about 40 items) into the reference sequence middle, , , To compare the different symptom numbers in the sequence, is the time sequence number of the collection; the specific correlation analysis content is shown in Table 2.
[0107] Table 2 Numerical content of correlation analysis between fa...
Embodiment 3
[0110] The difference between this embodiment and Embodiment 1 is that the system further includes a result visualization module for displaying the health status of the user and displaying corresponding health prompts. Moreover, this module can also construct the relevant data knowledge base through steps such as entity extraction, attribute identification, relationship extraction, and knowledge evaluation, and continuously update the knowledge base during the implementation process. Visualize the above correlation analysis results through geometric diagrams, star cluster diagrams, etc.
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