Skip to main content
Have a personal or library account? Click to login
Application of Wavelet Analysis in EMG Feature Extraction for Pattern Classification Cover

Application of Wavelet Analysis in EMG Feature Extraction for Pattern Classification

Open Access
|Jun 2011

References

  1. Canal, M. R. (2010). Comparison of wavelet and short time Fourier transform methods in the analysis of EMG signals., 34 (1), 91-94.
  2. Oskoei, M. A., Hu, H. (2007). Myoelectric control systems - a survey., 2 (4), 275-294.
  3. Pauk, J. (2008). Different techniques for EMG signal processing., 10 (4), 571-576.
  4. Neto, O. P., Marzullo, A. C. D. (2009). Wavelet transform analysis of electromyography Kung Fu strikes data., 8 (CSSI 3), 25-28.
  5. Kumar, S., Prasad, N. (2010). Torso muscle EMG profile differences between patients of back pain and control., 25 (2), 103-109.
  6. Kumar, D. K., Pah, N. D., Bradley, A. (2003). Wavelet analysis of surface electromyography to determine muscle fatigue., 11 (4), 400-406.
  7. Delis, A. L., Carvalho, J. L. A., Rocha, A. F. D., Ferreira, R. U., Rodrigues, S. S., Borges, G. A. (2009). Estimation of the knee joint angle from surface electromyographic signals for active control of leg prostheses., 30 (9), 931-946.
  8. Hussain, M. S., Reaz, M. B. I., Mohd-Yasin, F., Ibrahimy, M. I. (2009). Electromyography signal analysis using wavelet transform and higher order statistics to determine muscle contraction., 26 (1), 35-48.
  9. Wang, G., Wang, Z., Chen, W., Zhuang, J. (2006). Classification of surface EMG signals using optimal wavelet packet method based on Davies-Bouldin criterion., 44 (4), 865-872.
  10. Englehart, K., Hudgins, B., Parker, P. A. (2001). A wavelet-based continuous classification scheme for multifunction myoelectric control., 48 (3), 302-311.
  11. Chu, J. U., Moon, I., Mun, M. S. (2006). A real-time EMG pattern recognition system based on linear-nonlinear feature projection for a multifunction myoelectric control., 53 (11), 2232-2239.
  12. Chu, J. U., Moon, I., Lee, Y. J., Kim, S. K., Mun, M. S. (2007). A supervised feature-projection-based real-time EMG pattern recognition for multifunction myoelectric hand control., 12 (3), 282-290.
  13. Boostani, R., Moradi, M. H. (2003). Evaluation of the forearm EMG signal features for the control of a prosthetic hand., 24 (2), 309-319.
  14. Khezri, M., Jahed, M. (2011). A neuro-fuzzy inference system for sEMG-based identification of hand motion commands., 58 (5), 1952-1960.
  15. Rafiee, J., Rafiee, M. A., Yavari, F., Schoen, M. P. (2011). Feature extraction of forearm EMG signals for prosthetics., 38 (4), 4058-4067.
  16. Reaz, M. B. I., Hussain, M. S., Mohd-Yasin, F. (2006). EMG analysis using wavelet functions to determine muscle contraction. In, August 2006. New Delhi, India, 132-134.
  17. Mahaphonchaikul, K., Sueaseenak, D., Pintavirooj, C., Sangworasil, M., Tungjitkusolmun, S. (2010). EMG signal feature extraction based on wavelet transform. In, May 2010. Chiang Mai, Thailand, 356-360.
  18. Naik, G. R., Kumar, D. K., Arjunan, S. P. (2010). Pattern classification of Myo-Electrical signal during different Maximum Voluntary Contractions: A study using BSS techniques., 10 (1), 1-6.
  19. Yang, G.-Y., Luo, Z.-Z. (2004). Surface electromyography disposal based on the method of wavelet de-noising and power spectrum. In, August 2004. Chengdu, China, 896-900.
  20. Buranachai, C., Thanvarungkul, P., Kanatharanaa, P., Meglinski, I. (2009). Application of wavelet analysis in optical coherence tomography for obscured pattern recognition., 6 (12), 892-895.
  21. Phinyomark, A., Limsakul, C., Phukpattaranont, P. (2010). Optimal wavelet functions in wavelet denoising for multifunction myoelectric control., 8 (1), 43-52.
  22. Singh, B. N., Tiwari, A. K. (2006). Optimal selection of wavelet basis function applied to ECG signal denoising., 16 (3), 275-287.
  23. Phinyomark, A., Hirunviriya, S., Limsakul, C., Phukpattaranont, P. (2010). Evaluation of EMG feature extraction for hand movement recognition based on euclidean distance and standard deviation. In, May 2010. Chiang Mai, Thailand, 856-860.
  24. Phinyomark, A., Limsakul, C., Phukpattaranont, P. (2009). A novel feature extraction for robust EMG pattern recognition., 1 (1), 71-80.
  25. Zardoshti-Kermani, M., Wheeler, B. C., Badie, K., Hashemi, R. M. (1995). EMG feature evaluation for movement control of upper extremity prostheses., 3 (4), 324-333.
  26. Misiti, M., Misiti, Y., Oppenheim, G., Poggi, J.-M. (2010).. The MathWorks, Inc. Retrieved June 28, 2010, from MathWorks
Language: English
Page range: 45 - 52
Published on: Jun 3, 2011
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2011 A. Phinyomark, C. Limsakul, P. Phukpattaranont, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons License.