摘要
从系统的角度探讨手太阴肺经上少商-孔最一迟泽-天府穴特定段经络在外加电刺激时信道动态能量传输的特性.利用小波包分解技术对所测量的经络和非经络信号进行分解,然后计算各频带能量,以提取经络信道的动态特征.然后利用神经网络对经络与非经络特征进行模式识别.实验结果表明该方法可以明显区分经络上穴位与非穴位点所表现出能量传输特性的差别,可以用于信息能量鉴别方法确定经络上穴位点.
This paper investigates the energy transmission feature of electric signals in human meridian systems by using the electric signals to stimulate the so - called Hand - Taiyin Lung Channel of meridian system. Then, the measured responses of both meridian points of this channel and non - meridian points near the meridian channel are decomposed on several frequency bands by the wavelet packet analysis method. After that, the energy in different frequency bands is calculated to extract the dynamic features in meridian channels. Finally, a neural network based classifier is constructed to distinguish the characteristic: difference between meridian points or non - meridian points. The experimental results have illustrated that the proposed method is rather ef ficient. It provides us with a way to determine the points in human meridian systems.
出处
《上海师范大学学报(自然科学版)》
2011年第5期476-482,共7页
Journal of Shanghai Normal University(Natural Sciences)
基金
国家自然科学基金(60971004)
上海师范大学重点学科项目(DZL811
DYL201005和DRL904)
关键词
经络
小波包分析
频带能量
特征向量
神经网络
meridian systems
wavelet packet analysis
frequency band energy
eigenvectors
neural networks