ABSTRACT
[Objective]To explore the application of the pathogenesis of"weak yang and stringy yin"in the treatment of atherosclerosis. [Methods] Analyze the symptoms and prescriptions of atherosclerosis in the Synopsis of the Golden Chamber, and refer to the literatures on the prescriptions. To describe the concept of atherosclerosis from the "virtual" and "real" two aspects of the pathogenesis of atherosclerosis; access to the literature on the anti-cut Guibao White Liquor Soup, Gualou Xiebai Pinellia Decoction, Guizhi Tang, Guizhi Decoction, Ginseng Decoction, Jizhi Amethyst Decoction, Aconitum Red Stone Pills, Rhubarb Pills and Dazhuai Decoction, and other classic prescriptions of the Golden Chamber. [Results] Although there was no disease of atherosclerosis in Chinese medicine, there were many descriptions of its symptoms and etiology and pathogenesis. "The virtual", "standard" were its main pathogenesis,"Golden Chamber"in the proposed"weak yang and stringy yin" theory, and created a large number of prescriptions, such as Gualou Xiebai white liquor soup, Gualou Xiebai Pinellia Soup, Citrus aurantium Decoction Guizhi Decoction, Guizhi Decoction, Ginseng Decoction, Jizhi Feizhi Decoction, Aconitum Red Stone Pills, Rhubarb Pills and Da Chai Hu Tang. According to the literature, "Golden Chamber" in these prescriptions can be used to treat atherosclerosis. [Conclusion] The general theory of the pathogenesis of"chest palsy"and"weak yang and stringy yin"in the Synopsis of the Golden Chamber is the same as the pathogenesis of atherosclerosis. According to this pathogenesis Zhongjing created a large number of prescriptions, modern pharmacological studies have shown that they can treat atherosclerosis. Therefore, we can extend "weak yang and stringy yin" of the pathogenesis theory to the treatment of atherosclerosis. This treatment is worthy of our further exploration, for the present use, to be effective.
ABSTRACT
It is difficult to extract signals under Low Signal Noise Ratio in biomedical signal processing. The elimination of movement artifact is really a bottleneck. A new solution for the movement artifact in pulse signal is proposed in this paper. According to pulse signal features, the signal is decomposed by using wavelet transform firstly. Then empirical mode decomposition (EMD) is applied to the wavelet coefficients in frequency band of useful signals, thus the signal and movement artifact can be distinguished effectively. Furthermore, the effectiveness of the proposed approach is verified by signal-to-noise ratio, energy ratio, cross correlation coefficient and power spectrum. This method can eliminate not only movement artifact, but also baseline wander and high-frequency noise. Thus, it provides an effective approach for the calculation of pulse rate and blood oxygen saturation.