Computer Engineering and Applications ›› 2015, Vol. 51 ›› Issue (11): 196-200.

### Study on suppression of EMD end effect based on SVM

KUANG Huan1, WANG Rulong1, ZHANG Jin1，2, YAN Jing1

1. 1.School of Information Science and Engineering, Hunan University, Changsha 410082, China
2.College of Mathematics and Computer Science, Hunan Normal University, Changsha 410081, China
• Online:2015-06-01 Published:2015-06-12

### 基于SVM的EMD端点效应抑制方法研究

1. 1.湖南大学 信息科学与工程学院，长沙 410082
2.湖南师范大学 数学与计算机科学学院，长沙 410081

Abstract: In order to restrain the problem of end effect in the Empirical Mode Decomposition （EMD） process of the EEG data, a new method is proposed. This method combines Support Vector Machine （SVM） and window function to deal with the original signal. The method consists of three steps: the signal is forward and backward extended respectively for several extreme points by SVM; window function is added to the extended data; the empirical mode decomposition is used to process the original signal, and the extended signal by the proposed method respectively, and then remove the extended points from the intrinsic mode functions. In order to analyze the performance of the proposed method, orthogonality is chosen as the quantitative evaluation index. The artificial and real EEG signals are used as experimental objects of simulation experiments. Comparing with the other methods, the experimental resluts show that the proposed method can effectively restrain the end effects during the process of empirical mode decomposition.