Open Access

Application of Wavelet Analysis in EMG Feature Extraction for Pattern Classification

Canal, M. R. (2010). Comparison of wavelet and short time Fourier transform methods in the analysis of EMG signals. J. Med. Syst., 34 (1), 91-94.10.1007/s10916-008-9219-820192059Search in Google Scholar

Oskoei, M. A., Hu, H. (2007). Myoelectric control systems - a survey. Biomed. Signal Process. Control., 2 (4), 275-294.10.1016/j.bspc.2007.07.009Search in Google Scholar

Pauk, J. (2008). Different techniques for EMG signal processing. J. Vibroeng., 10 (4), 571-576.Search in Google Scholar

Neto, O. P., Marzullo, A. C. D. (2009). Wavelet transform analysis of electromyography Kung Fu strikes data. J. Sports Sci. Med., 8 (CSSI 3), 25-28.Search in Google Scholar

Kumar, S., Prasad, N. (2010). Torso muscle EMG profile differences between patients of back pain and control. Clin. Biomech., 25 (2), 103-109.10.1016/j.clinbiomech.2009.10.01319944502Search in Google Scholar

Kumar, D. K., Pah, N. D., Bradley, A. (2003). Wavelet analysis of surface electromyography to determine muscle fatigue. IEEE Trans. Neural Syst. Rehabil. Eng., 11 (4), 400-406.10.1109/TNSRE.2003.81990114960116Search in Google Scholar

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. Physiol. Meas., 30 (9), 931-946.10.1088/0967-3334/30/9/00519661566Search in Google Scholar

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. Expert Syst., 26 (1), 35-48.10.1111/j.1468-0394.2008.00483.xSearch in Google Scholar

Wang, G., Wang, Z., Chen, W., Zhuang, J. (2006). Classification of surface EMG signals using optimal wavelet packet method based on Davies-Bouldin criterion. Med. Biol. Eng. Comput., 44 (4), 865-872.10.1007/s11517-006-0100-y16951931Search in Google Scholar

Englehart, K., Hudgins, B., Parker, P. A. (2001). A wavelet-based continuous classification scheme for multifunction myoelectric control. IEEE Trans. Biomed. Eng., 48 (3), 302-311.10.1109/10.91479311327498Search in Google Scholar

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. IEEE Trans. Biomed. Eng., 53 (11), 2232-2239.Search in Google Scholar

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. IEEE/ASME Trans. Mechatron., 12 (3), 282-290.10.1109/TMECH.2007.897262Search in Google Scholar

Boostani, R., Moradi, M. H. (2003). Evaluation of the forearm EMG signal features for the control of a prosthetic hand. Physiol. Meas., 24 (2), 309-319.10.1088/0967-3334/24/2/30712812417Search in Google Scholar

Khezri, M., Jahed, M. (2011). A neuro-fuzzy inference system for sEMG-based identification of hand motion commands. IEEE Trans. Ind. Electron., 58 (5), 1952-1960.10.1109/TIE.2010.2053334Search in Google Scholar

Rafiee, J., Rafiee, M. A., Yavari, F., Schoen, M. P. (2011). Feature extraction of forearm EMG signals for prosthetics. Expert Syst. Appl., 38 (4), 4058-4067.10.1016/j.eswa.2010.09.068Search in Google Scholar

Reaz, M. B. I., Hussain, M. S., Mohd-Yasin, F. (2006). EMG analysis using wavelet functions to determine muscle contraction. In 8th International Conference on e-Health Networking, Applications and Services, August 2006. New Delhi, India, 132-134.Search in Google Scholar

Mahaphonchaikul, K., Sueaseenak, D., Pintavirooj, C., Sangworasil, M., Tungjitkusolmun, S. (2010). EMG signal feature extraction based on wavelet transform. In 7th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications, May 2010. Chiang Mai, Thailand, 356-360.Search in Google Scholar

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. Meas. Sci. Rev., 10 (1), 1-6.10.2478/v10048-010-0001-ySearch in Google Scholar

Yang, G.-Y., Luo, Z.-Z. (2004). Surface electromyography disposal based on the method of wavelet de-noising and power spectrum. In International Confernece on Intelligent Mechatronics and Automation, August 2004. Chengdu, China, 896-900.Search in Google Scholar

Buranachai, C., Thanvarungkul, P., Kanatharanaa, P., Meglinski, I. (2009). Application of wavelet analysis in optical coherence tomography for obscured pattern recognition. Laser Phys. Lett., 6 (12), 892-895.10.1002/lapl.200910089Search in Google Scholar

Phinyomark, A., Limsakul, C., Phukpattaranont, P. (2010). Optimal wavelet functions in wavelet denoising for multifunction myoelectric control. ECTI Transactions on Electrical Eng., Electronics, and Communications, 8 (1), 43-52.Search in Google Scholar

Singh, B. N., Tiwari, A. K. (2006). Optimal selection of wavelet basis function applied to ECG signal denoising. Digit. Signal Process., 16 (3), 275-287.10.1016/j.dsp.2005.12.003Search in Google Scholar

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 7th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, May 2010. Chiang Mai, Thailand, 856-860.Search in Google Scholar

Phinyomark, A., Limsakul, C., Phukpattaranont, P. (2009). A novel feature extraction for robust EMG pattern recognition. J. Comput., 1 (1), 71-80.Search in Google Scholar

Zardoshti-Kermani, M., Wheeler, B. C., Badie, K., Hashemi, R. M. (1995). EMG feature evaluation for movement control of upper extremity prostheses. IEEE Trans. Rehabil. Eng., 3 (4), 324-333.10.1109/86.481972Search in Google Scholar

Misiti, M., Misiti, Y., Oppenheim, G., Poggi, J.-M. (2010). Wavelet Toolbox User's Guide. The MathWorks, Inc. Retrieved June 28, 2010, from MathWorks http://www.mathworks.com/access/helpdesk/help/pdf_doc/wavelet/wavelet_ug.pdfSearch in Google Scholar

eISSN:
1335-8871
Language:
English
Publication timeframe:
6 times per year
Journal Subjects:
Engineering, Electrical Engineering, Control Engineering, Metrology and Testing