Title :
Feature Extraction of Surface EMG Signal Based on Wavelet Coefficient Entropy
Author :
Hu, Xiao ; Yu, Qun ; Liu, Waixi ; Qin, Jian
Author_Institution :
Machinery & Electron. Coll., Guangzhou Univ., Guangzhou
Abstract :
This paper introduces a novel and simple method to extract the general feature of two surface EMG signal patterns: forearm supination (FS) surface EMG signal and forearm pronation (FP) surface EMG signal. The method decomposes surface EMG signal into 16 Frequency bands (FB) by wavelet packet transform (WPT), and then wavelet coefficient entropy (WCE) of two chosen FBs is calculated. The two WCEs were used to distinguish FS surface EMG signals from FP surface EMG signals. The result shows that WCE is an effective method for extracting the feature from surface EMG signal.
Keywords :
electromyography; feature extraction; medical signal processing; wavelet transforms; feature extraction; forearm pronation; forearm supination; surface EMG signal; wavelet coefficient entropy; wavelet packet transform; Electrodes; Electromyography; Entropy; Feature extraction; Frequency; Muscles; Surface waves; Wavelet coefficients; Wavelet packets; Wavelet transforms;
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1747-6
Electronic_ISBN :
978-1-4244-1748-3
DOI :
10.1109/ICBBE.2008.768
