Objective To investigate the effect of Tongqiao Yinao decoction ( TYD) on postoperative cogni-tive dysfunction in elderly patients and its underlying mechanisms .Methods 100 anesthetic patients for orthopedic surgery were randomly divided into the TYD-treated group and control group ,50 patients in each group .In TYD-trea-ted group,patients received 150mL TYD orally,twice daily for constitutive 15 days,beginning from the day of admis-sion in addition to conventional symptomatic and supportive treatment .While patients in control group received no TYD.Mini-mental state examination ( MMSE) was used to evaluate the patients′cognitive function before and after anesthesia.Meanwhile,blood samples of patients were also collected to test the expression levels of IL -6.Results There was no significant difference between the two groups before operation .However ,TYD-treated patients had signif-icantly lower incidence rate of POCD than the controls ( 20% in the control group , and 12% in the TYD-treated group;χ2 =4.332,P=0.037) 7 days after operation.The incidence rates of POCD in the TYD-treated group and control group were 30%and 38%1 day after operation ( P>0.05),28% and 20% 3 days after operation ( P>0.05),respectively.Compared with that before operation ,the blood levels of IL-6 in the two groups significantly increased 3 days after operation (control group,t=2.412,P=0.009;TYD-treated group,t=1.429,P=0.039).In contrast to the control group,the level of IL-6 in TYD-treated group declined to the baseline (the control group,t=0.851,P=0.049;TYD-treated group,P=0.404).Interestingly,compared with the controls,the TYD-treated patients had a significant lower level of IL-6 after operation (t=1.198,P=0.035).Furthermore,Pearson correlation analysis showed that change of IL-6 level in blood was negatively correlated with MMSE score (r=-0.782,P=0.022). Conclusion TYD can improve postoperative cognitive dysfunction in elderly patients ,presumably through decreasing the level of IL-6 in blood.

A new method based on gray correlation was introduced to improve the identification rate in artificial limb. The electromyography (EMG) signal was first transformed into time-frequency domain by wavelet transform. Singular value decomposition (SVD) was then used to extract feature vector from the wavelet coefficient for pattern recognition. The decision was made according to the maximum gray correlation coefficient. Compared with neural network recognition, this robust method has an almost equivalent recognition rate but much lower computation costs and less training samples.
Electromyography ; Humans ; Models, Biological ; Muscle, Skeletal ; physiology ; Neural Networks (Computer) ; Signal Processing, Computer-Assisted ; Systems Theory