Analysis Of College Students’ Pulse Characteristics Based On Random Matrix Theory

With the development of society and economy,the college students,which plays an important role in the future construction and development of the motherland,their state of health deserves attention.In traditional Chinese medicine,pulse diagnosis is usually used as an important way to detect the health status of human body.Pulse diagnosis is a painless,noninvasive and fast detection method.However,due to the shortage of medical resources caused by the experience of doctors,pulse diagnosis cannot be rapidly promoted.The purpose of this article is to successfully apply the active and passive identification experiments on the health status of college students by analyzing the pulse data.Random matrix theory(RMT)is one of the important mathematical tools for statistical analysis of complex systems.The random matrix obtains the degree of randomness of the data and the overall correlation characteristics of the data through statistical analysis of the energy spectrum and eigenstates of the system.Based on random matrix theory,this paper analyzes pulse data and constructs a detection model.It mainly includes the following parts:1.The pulse data of 23 college student volunteers were collected with EOX blood oxygen,and the mental state and physical state of the volunteers were marked.The mental state was divided into mental balance and mental imbalance,and the physical state was divided into orderly and out of order.2.Clean and preprocess the data,including cleaning of abnormal data,preprocessing of baseline drift and setting of precision.3.Cutting the data by matrix,including cutting the preprocessed data by time line and by wave crest and wave trough.4.After the matrix is transformed,the random matrix single loop theorem analysis is carried out to obtain the mean spectral radius index,and comparative analysis is carried out according to the average spectral radius of each volunteer’s pulse,thus achieving the recognition effect.The research work in this paper is applied to the active and passive identification of university students’ health status designed by Teacher Yu Junsheng,and has obtained relatively good results.