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1.
Chinese Acupuncture & Moxibustion ; (12): 212-216, 2016.
Article in Chinese | WPRIM | ID: wpr-319967

ABSTRACT

Professor JIA Chunsheng believes that "Dongyuan's acupuncture therapy" proposed by GAO Wu could not entirely reflect LI Dongyuan's academic thought of acupuncture and moxibustion. Hence, we collected all of the academic works of LI Dongyuan and extracted the texts relevant with acupuncture-moxibustion therapy, titled as Dongyuan's acupuncture-moxibustion therapy. This process contributed to the deeper study on Dongyuan's acupuncture and moxibustion academic thought. By the influence of Dongyuan's acupuncture-moxibustion academic thought, in association with his clinical experience for dozens of years, Professor JIA Chunsheng proposed that acupuncture and moxibustion should pay attention to the regulation and tonification of spleen and kidney. In clinical practice, Zhongwan (CV 12), bilateral Tianshu (ST 25), Qihai (CV 6) and Guanyuan (CV 4) are commonly selected to consolidate the root, cultivate the primary and treat the spleen and kidney simultaneously. The locations of the above selected points are distributed like a star. This "star-like point selection method" points to the importance of the spleen and kidney (the primary qi). For many diseases, especially the disorders of internal injury, the star-like acupuncture therapy is commonly used and the relevant acupoints are supplemented. The good clinical efficacy has been achieved.


Subject(s)
Humans , Acupuncture Points , Acupuncture Therapy , History , Methods , China , History, Ancient , Moxibustion , History , Methods
2.
International Journal of Biomedical Engineering ; (6): 222-225,后插12, 2016.
Article in Chinese | WPRIM | ID: wpr-605339

ABSTRACT

Objective To realize rapid and non-destructive drug classification and improve the accuracy of drug classification.Methods A model for drug classification based on the combination of principal components analysis and artificial neural network (PCA-ANN) method was introduced.The software for drugs classification was then developed with the utility of MATLAB language.The near infra-red spectrum (NIRS) detection technique was executed on five kinds of drugs (a total of 120 batch samples) and the detection data was collected within the range of 1 350-1 800 nm of excitation wavelength and 0.5 nm of wavelength interval.Results The network training mean square error (MSE) was 5.91e-03,and the prediction error (β) was 2.469% when the number of the interfering drugs number was less than 5.Conclusions The classification of drugs by NIRS combined with PCA-ANN is feasible and the classification accuracy can be increased.

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