关键词: 经络穴位, 心电信号, 小波包, 熵, 特征提取, 聚类

Abstract: In order to study meridian characteristics, a feature extraction method of ElectroCardioGraph (ECG) signal on the meridian based on wavelet packet analysis and energy entropy was proposed. A meridian measuring experiment was firstly built to complete the acquisition of meridian data. Then meridian ECG signals were decomposed by a three layer wavelet packet decomposition. Energy entropy features of meridian ECG signals were extracted according to the results of signal reconstruction. After that, both K-means and Fuzzy C-Means (FCM) clustering techniques realized the effective partition of acupoints and non-acupoints. The derived clustering results indicate that the energy entropy values of ECG signals on the acupoints are obviously higher than those on the non-meridian points. It can be used as a powerful scientific basis for the discrimination of acupoints and non-acupoints.

Key words: meridian acupoint, ElectroCardioGraph (ECG) signal, wavelet packet, entropy, feature extraction, clustering