The Pattern Identification Method Of The Signs On Human Infrared Thermography And Clinical Application Research

Health issues have risen to the level of national strategy,the people's demand for health is increasing,and the development direction of medicine has gradually changed from "disease medicine" to "health medicine".A green inspection technology that can participate in clinical evaluation during the entire disease cycle,especially the early stage of the disease,will play an important role in meeting public health needs.The clinical value of infrared thermography for early disease screening and efficacy evaluation has been recognized,but the bottleneck problem,which is lacking of clinical "standardization",is still unsolved.This article will construct a corresponding quantitative and visual model for the abstract concepts that conform to the clinical description in the way of combining medicine and engineering,and through the attribute partial order theory,pattern recognition and knowledge mining are carried out on the generalization laws of various infrared thermal images that appear repeatedly in the clinic,and it will provide new ideas and methods to promote the clinical "standardization" of infrared thermography.At the same time,these methods are applied to new clinical research to expand the clinical research scope and field of vision of infrared thermography.Based on the theoretical basis of clinical research on infrared thermography,this paper puts forward the basic concepts of "infrared thermography signs" and "infrared thermography signs mode",and constructs a series of methods for the quantification and visualization of infrared thermography signs.On this basis,through the attribute partial order structure theory,the knowledge mining and pattern recognition of infrared thermography signs between different groups have been realized,and further confirmatory experiments have been carried out on the above methods through clinical research,and initial results have been achieved.This has important clinical significance and application value for the clinical research of infrared thermography.First of all,in terms of quantification and visualization of infrared thermography signs,according to existing methods,a nine-square grid visualization method based on temperature values and an improved quantification method of maximum temperature are proposed;according to the symmetry signs of infrared thermographys,two quantitative mathematical models for different scenarios are proposed;an indirect quantitative mathematical model is proposed for the physical signs of infrared thermography uniformity;a space model visualization method is proposed for the serialized physical signs of the infrared thermography of the human body,and the image space of the infrared thermography is mapped to a new virtual model to realize the visual expression of the spatial structure of the serialized feature;in view of the three-dimensional physical signs of infrared thermography,the clinical research value of the spatial characteristics of human infrared thermography is further analyzed and described through actual clinical cases.Secondly,in the aspect of infrared thermography physical sign pattern recognition,a method for human infrared thermography physical sign pattern recognition based on the attribute partial order structure theory is constructed.On this basis,a data granulation method based on infrared thermography physical signs is proposed,which can transform image features into formal backgrounds for knowledge mining and pattern recognition.In the clinical confirmatory experiments of the above methods,preliminary explorations have been made in the two fields of metabolic syndrome and human body state recognition in traditional Chinese medicine,which can dig out effective concepts from the knowledge map,and lay the methodology for subsequent artificial intelligence research basis.Through these two experiments,the validity and accuracy of the attribute partial order structure theory for the identification of physical signs in infrared thermographys are demonstrated.Finally,in the clinical application research of infrared thermography,an early warning model for early screening of male myocardial ischemia was constructed through infrared thermography,and the ability of this model to screen for myocardial ischemia was verified through clinical experiments.This research will make up for the shortcomings of existing technology;according to the technical characteristics of infrared thermography,a new exploratory study on childhood idiopathic thrombocytopenic purpura was initially carried out,and the objectivity and effectiveness of the proposed method was verified through rigorous clinical experiments.This may add a new tool to the laboratory examination of childhood idiopathic thrombocytopenic purpura.