MUAP classification based on wavelet packet and fuzzy clustering technique

3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

Volumn , Issue , 2009, Pages

  Xiaomei, Ren ^a   Hua, Huang ^a   Lihua, Deng ^a  

^a SICHUAN UNIVERSITY   (China)

Author keywords

Electromyography (EMG) signal decomposition; Feature extraction; Fuzzy C means (FCM) clustering; Fuzzy wavelet packet; Motor unit action potential (MUAP); Optimal wavelet packet (WP)

Indexed keywords

FUZZY C MEANS CLUSTERING; MOTOR UNIT ACTION POTENTIALS; OPTIMAL WAVELETS; SIGNAL DECOMPOSITION; WAVELET PACKET;

BIOINFORMATICS; ELECTROMYOGRAPHY; FUZZY CLUSTERING; FUZZY RULES; FUZZY SYSTEMS; MOTORS; OPTIMIZATION; SIGNAL DISTORTION; SIGNAL PROCESSING; WAVELET DECOMPOSITION;

FEATURE EXTRACTION;

EID: 72749126913     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICBBE.2009.5163091     Document Type: Conference Paper

References (11)

1. Andrade, A.O., S.J. Nasuto, and P. Kyberd, Extraction of motor unit action potentials from electromyographic signals through generative topographic mapping. Journal of the Franklin Institute, 2007. 344(3-4): p. 154-179.
2. Christodoulou, C.I. and C.S. Pattichis, Unsupervised pattern recognition for the classification of EMG signals. Biomedical Engineering, IEEE Transactions on, 1999. 46(2): p. 169-78.
3. Fang, J., G. Agarwal, and B. Shahani, Decomposition of multiunit electromyographic signals. IEEE Transactions on Biomedical Engineering, 1999. 46(6): p. 685-97.
4. Florestal, J.R., P.A. Mathieu, and A. Malanda, Automated Decomposition of Intramuscular Electromyographic Signals. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2006. 53(5): p. 832-839.
5. Katsis, C.D., et al., A two-stage method for MUAP classification based on EMG decomposition. Computers in Biology and Medicine, 2007. 37(9): p. 1232-1240.
6. Roeleveld, K., et al., Motor unit size estimation: confrontation of surface EMG with macro EMG. Electroencephalography and Clinical Neurophysiology, 1997. 105(3): p. 181-8.
7. Zennaro, D., et al., A Software Package for the decomposition of long-term multichannel EMG signals using wavelet coefficients. IEEE Transaction on Biomedical Engineering, 2003. 50(1): p. 58-69.
8. Wellig, P. and G. Moschytz. Electromyogram decomposition using the single-linkage clustering algorithm and wavelets. in Proceedings of the 6th IEEE International Conference on Electronics, Circuits, and Systems. 1999. Pafos.
9. Xiaomei;, R., et al., Noise reduction based on ICA decomposition and wavelet transform for the extraction of motor unit action potentials. Journal of neuroscience methods, 2006. 158(2): p. 313-22.
10. Li, D., W. Pedrycz, and N. Pizzi, Fuzzy Wavelet Packet Based Feature Extraction Method and Its Application to Biomedical Signal Classification. IEEE Transaction on Biomedical Engeering, 2005. 52(6): p. 1132-9.
11. Prtrik Wahlberg and G. Lantz, Method for Robust Clustering of Epileptic EEG Spikes. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2000. 47(7): p. 857-868.