Objective:To analyze the pulse diagnosis information characteristics of coronary heart disease(CHD)with the syn-drome of phlegm and blood stasis,and provide an objective basis for identifying CHD syndromes.Methods:Pulse diagnosis data from CHD patients with phlegm and blood stasis syndrome and without this syndrome(control group)were collected and analyzed.Unsupervised principal component analysis(PC A)and supervised learning methods including Least Squares(LS)regression and Lasso regression were used for classification and decision-making.Results;The right-hand Cun pulse time-domain parameters in the 1st and 9th principal components,along with the frequency-domain phase parameters of both hands,showed statistically significant differences in t-tests and F-tests.The supervised LS model achieved an overall classification accuracy of 74％in distinguishing be-tween the phlegm and blood stasis syndrome group and the control group.In distinguishing the phlegm and blood stasis syndrome group from other syndromes,including phlegm obstruction and heat accumulation,qi stagnation and blood stasis,qi deficiency and blood stasis,qi and yin deficiency,and yang deficiency and cold congealing,the LS model achieved accuracy rates of 69％to 78％.In Lasso regression analysis,the classification accuracy between the phlegm and blood stasis syndrome group and the control group was 74％.The main parameters distinguishing the two syndromes were concentrated in frequency-domain phase parameters,inclu-ding left Cun phase 3,left Cun phase 6,left Guan phase 6,right Guan phase 6,and right Chi phase 12.The most significant parame-ter distinguishing the phlegm and blood stasis syndrome group from the control group was the right Cun S2 time-domain feature.Conclusion:After corresponding analysis of pulse diagnosis data and traditional Chinese medicine(TCM)theory,the main differ-ences in pulse information between phlegm and blood stasis syndrome and non-phlegm and blood stasis syndrome were found in the frequency-domain parameters of both the Cun and Chi pulses.Particularly,the right Cun S2 time-domain difference was significant in identifying the characteristics of phlegm and blood stasis in CHD with phlegm turbidity and blood stasis syndrome.This reflects the important role of the"lung governing management and regulation"in the distribution of qi,blood,and essence.
关键词
脉象特征/主成分分析/回归分析/时域差异/监督学习/冠心病/痰瘀互结证/痰浊/肺主治节
Key words
Pulse characteristics/Principal component analysis/Regression analysis/Time-domain difference/Supervised learn-ing/Coronary heart disease/Phlegm and blood stasis syndrome/Phlegm turbidity/Lung governing management and regulation
维普
万方数据