Study of surface electromyography signal based on wavelet transform and radial basis function neural network

Proceedings - 2008 International Seminar on Future BioMedical Information Engineering, FBIE 2008

Volumn , Issue , 2008, Pages 160-163

  Xizhi, Zhu ^a  

^a TAIZHOU UNIVERSITY   (China)

Author keywords

Pattern recognition; RBF neural network; Surface electromyography signal; Wavelet transform

Indexed keywords

ACCURACY RATE; BASE FUNCTION; BP NEURAL NETWORKS; EIGEN-VALUE; MOTION MODES; MUSCLE PATTERN; RADIAL BASE FUNCTION; RADIAL BASIS FUNCTION NEURAL NETWORKS; RBF NEURAL NETWORK; SURFACE ELECTROMYOGRAPHY SIGNAL; SURFACE ELECTROMYOGRAPHY SIGNALS; SURFACE EMG; TRAINING SAMPLE; TWO-CHANNEL; WAVELET COEFFICIENTS;

EIGENVALUES AND EIGENFUNCTIONS; ELECTROMYOGRAPHY; MUSCLE; PATTERN RECOGNITION; RADIAL BASIS FUNCTION NETWORKS; WAVELET TRANSFORMS;

NEURAL NETWORKS;

EID: 70349504701     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FBIE.2008.38     Document Type: Conference Paper

References (8)

1. ZHANG Qing-ju, LUO Zhi-zeng, YE Ming. Based on Power Spectrum and RBF Neural Network to Classify Surface Electromyography[J]. Mechanical & Electrical Engineering Magazine. 2005, 22 (11), 35-38.
2. CUI Jian-guo, WANG Xu, LI Zhong-hai etc. Application of Support Vector Machine in Pattern Classification of Surface EMG[J]. Journal of Northeastern University(Natural Science), 2006, 27 (3), 280-284.
3. WANG Jiang, LI Jin-xiang. Radical Base Function Neural Networks-Based EMG Modeling[J]. Computer Simulation, 2003, 20(12), 67-69.
4. Mallat S. A Wavelet Tour of Signal Processing [M]. SanDiego, CA:Academic Press, 1997, 121-214.
5. Cui Jianguo, Li Yibo, Li Zhonghai. Complicated Signal Pattern Recognition Based on Wavelet Packet and Support Vector Machine [J]. Journal of Data Acquisition & Processing, 2008, 23(2), 163-167.
6. Andrea Merlo, Dario Farina etel. A Fast and Reliable Technique for Muscle Activity Detection From Surface EMG Signals [J]. IEEE Trans On Biomed Eng, 2003, 50 (3), 316-323.
7. Hu Xiao, Wang Zhizhong. Detecting the Motor Unit Action Potential from Surface EMG signals Based on wavelet Transform[C]. IEEE International Workshop on Biomedical Circuits & Systems, 2004, 1-3, Singapore.
8. Panchapakesan, C. Palaniswami etc. Effects of moving the center's in an RBF networks[J]. Neural Networks, 2002, 13 (6), 1045-9227.