ABSTRACT
Objective:Analysis of anti-aging traditional Chinese medicine from the point of drug properties and explain the different types of drug characteristics.METHODS:The related literatures were derived from CNKI,and 51 traditional Chinese medicines were collected,then the ward method cluster analysis was carried out based on the property of a medicine data.Results:These drugs were divided into ten categories,the first kind of cold,bitter taste,liver meridian,can clear the liver;the second kinds of cold,bitter,spleen meridian,can clear splenopyretic;the third types of cold,sweet,nourishing yin;the fourth,five and six types were flat meridian,fiat sweet lung channel and flat sweet Spleen meridian,can nourishing liver,lung and spleen respectively;the seventh kinds of taste,to the kidney,can tonifying kidney-Qi;the eighth kinds of warm-natured,Spleen meridian,can fill the spleen meridian;the ninth kinds of warmnatured,spicy,to the kidney,tonifying kidney and dispelling cold;the tenth kinds of warm sweet to the kidney,tonifying kidney yang.Conclusion:The anti-aging traditional Chinese medicine was divided into ten categories based on the property of a medicine,the role of each type is different ways,reflecting the characteristics of anti-aging herbs.Adapt to the treatment of different aging patients.Through the classification of anti-aging drugs,it can be used to assist in the treatment of diseases,which provide clues for the study of anti-aging.
ABSTRACT
This study was aimed to explore the feasibility of identification of traditional Chinese medicine (TCM) constitution based on photoplethysmography (PPG) frequency domain analysis,and to establish an automatic identification system (AIS) of TCM constitution with simple operation and good generalization.The Classification and Determination of Constitution in TCM was used to evaluate the subjects' constitutional state.Pulse wave sensor was used to collect the pulse wave signal.Spectral characteristics were analyzed by power spectrum analysis.Eight classification algorithms of data mining were used to establish the model of qi-insufficiency constitution.The results showed that the pulse wave harmonic peak was that qi-insufficiency constitution was higher than health group;the model was optimal when random forest algorithm was used;and the accuracy of 10-CV test was 80.4％.Sensitivity reached 73.2％.Specificity and receiver operator characteristic were all above 0.8.The model has certain reliability.It was concluded that it was feasible to identify qiinsufficiency constitution by means of frequency domain analysis of PPG.It provides preliminary work for the construction of AIS of TCM constitution as well as a simple and quick assistant tool for the constitution identification of subhealth group in family health care.