The EEG Signals Research Of Superficial Needling (Push-pin) Treatment For Primary Insomnia Based On Nonlinear Dynamic Analysis Method

Objective:the purpose of this study is to investigate the effect of 16 EEG signals about Superficial needling at shangen point on the patients with insomnia at different periods by nonlinear dynamic analysis method base on the effectiveness of the treatment insomnia by Superficial needling,analysis the effect brain area at different periods,try to research the central mechanism of Superficial needling on insomnia,and analysis the feasibility of Extraction method of EEG signal data using the nonlinear dynamic method and combining with the statistical method.Methods:we selected 30 cases of patients with insomnia,placed them seat in a quiet shielding indoor with eye closed for 10 minuses.according the international standard placed the 16 electrical cable,then began to collect 10 minuses EEG signals(A,before);after made continuous push in shangen point during collected 10 minuses EEG signals in the second time(B,during);at last,collected the 10 minuses EEG signals with quite seating(C,after);the experiment end by acquisition over.research select.16 EEG signals as the main analysis object,used nonlinear dynamic analysis method as the main analysis means,the Approximate Entropy and Correlation Dimension as the quantitative indicators,used R software operate the Approximate Entropy and Correlation Dimension value,and SPSS 20.0 software carried on the analysis of Approximate Entropy and Correlation Dimension value,observed the EEG signals changes during the different intervention stages of Superficial needling.Results:(1)Approximate entropy:(1)before and during Superficial needling intervention,brain regions 01 had significant difference(p<0.05),and the difference(delta t)<0;(2)before and after Superficial needling intervention,brain regions C3 had significant difference(p<0.05),and the difference(delta t)>0;(3)Cluster analysis showed that EEG signals were classified into two categories in patients with insomnia before Superficial needling intervention,Class I was:FP1,FP2,and class II were F3,F4,F7,F8,C3,C4,T3,T4,T5,T6,01,02,P3,P4;patients with insomnia during Superficial needling intervention,Class I was:FP1,T6,class Ⅱ were:01,02,F3,F4,F7,F8,C3,C4,T3,T4,T5,T6,P3,P4;patients with insomnia after Superficial needling intervention,Class I was:01,02,and Class Ⅱ,C3,C4,F3,F4,F7,F8,FP1,FP2,T3,T4,T5,T6,P3,P4.2 Correlation dimensions:(1)the electrical signal correlation dimension of insomnia patients on the three main intervention time had exist significant.difference on time effect;(2)compared with Superficial needling intervention before,the correlation dimension value of Superficial needling intervention during in region F4,P3,02,F7,T5,FP2 had increased significantly;compared with shallow needle intervention during,the correlation dimension value of Superficial needling intervention after in region T4 had decreased significantly.(3)factor analysis results showed that patients with insomnia,the correlation dimension of Superficial needling before the factor 1 is the cumulative contribution rate of 80%or higher in F3,F4,C3,C4,F7,F8,FP1,FP2 brain regions;Intervention with Superficial needling intervention in patients with insomnia after EEG correlation dimension is their common factor 1 characteristics of the cumulative contribution rate of 78%or higher in F3,F4,F7,F8,FP1,FP2 brain areas and so on.Conclusions:1:By the Approximate Entropy and Correlation Dimension value,the Superficial needling intervention was mainly influenced the electrical signals of forehead area,frontal area,temporal region,then adjusted the balance of meridian yin-yang and then play the treatment of insomnia.2,the results of the Superficial needling intervention made the electrical Approximate Entropy and Correlation Dimension value reduced.3,The described and summarized the characteristics EEG signals of Superficial needling intervention in patients with insomnia by nonlinear dynamics,and combined with the clustering analysis and factor analysis,it is applicable that two data processing models were used to explore the effect of intervention mode to Brain center and effect brain area.