目的通过采集和分析100例慢性咽炎患者的语音信号,为慢性咽炎中医证型的辨证提供客观依据。方法应用中医闻诊采集系统软件采集100例慢性咽炎患者的语音信号为慢性咽炎组,根据慢性咽炎中医证型将样本分为肺脾气虚型、痰热蕴结型、阴虚肺燥型,同期采集100例正常声音样本为正常对照组,运用小波包分解方法对2组进行语音样本分析和处理,提取与慢性咽炎中医辨证相关的特征参数。结果2组能量特征比较,在1~6 k Hz频率段慢性咽炎组患者能量特征大于正常对照组（P〈0.05,P〈0.01）;2组熵值特征比较,在0~1 k Hz频率段慢性咽炎组患者熵值特征小于正常对照组（P〈0.01）,在2~7 k Hz频率段慢性咽炎组患者熵值特征大于正常对照组（P〈0.05,P〈0.01）。除2~3 k Hz、6~7 k Hz频率段外,3个证型能量特征比较差异均有统计学意义（P〈0.05）,痰湿蕴结型〉肺脾气虚型〉阴虚肺燥型;在0~2 k Hz频率段3个证型熵值特征比较差异有统计学意义（P〈0.05）,痰湿蕴结型〉阴虚肺燥型〉肺脾气虚型。结论运用现代语音信号采集分析方法,为慢性咽炎中医证型的辨证提供了一定的客观参考依据。
OBJECTIVE:To show that the pulse diagnosis used in Traditional Chinese Medicine,combined with nonlinear dynamic analysis,can help identify cardiovascular diseases.METHODS:Recurrence quantification analysis(RQA) was used to study pulse morphological changes in 37 inpatients with coronary heart disease(CHD) and 37 normal subjects(controls).An independent sample t-test detected significant differences in RQA measures of their pulses.A support vector machine(SVM) classified the groups according to their RQA measures.Classic time-domain parameters were used for comparison.RESULTS:RQA measures can be divided into two groups.One group of measures [ecurrence rate(RR),determinism(DEL),average diagonal line length(L),maximum length of diagonal structures(Lmax),Shannon entropy of the frequency distribution of diagonal line lengths(ENTR),laminarity(LAM),average length of vertical structures(TT),maximum length of vertical structures(Vmax)] showed significantly higher values for patients with CHD than for normal subjects(P<0.05).The other measures(RR_std,L_std,Lmax_std,TT_std,Vmax_std) showed significantly lower values for the CHD group than for normal subjects(P<0.05).SVM classification accuracy was higher with RQA measures:With RQA(16 parameters) accuracy was at 88.21%,and with RQA(12 parameters) accuracy was at 84.11%.In contrast,with classic time-domain(15 parameters) accuracy was 75.73%,and with time-domain(7 parameters) accuracy was 74.70%.CONCLUSION:Nonlinear dynamic methods such as RQA can be used to study functional and structural changes in the pulse noninvasively.Pulse signals of individuals with CHD have greater regularity,determinism,and stability than normal subjects,and their pulse morphology displays less variability.RQA can distinguish the CHD pulse from the healthy pulse with an accuracy of 88.21%,thereby providing an early diagnosis of cardiovascular diseases such as CHD.
