References

Englehart, K., B. Hudgins and P. Parker, 2001. Intelligent System and Technologies in Rehabilitation Engineering. CRC Press, Boca Raton, Florida,.

Englehart, K., B. Hugdins and P. Parker, 2000. Multifunction Control of Prostheses using the Myoelectric Signal. In: Intelligent Systems and Technologies in Rehabilitation Engineering, Teodorescu, H.N.L. and L.C. Jain (Eds.). CRC Press, New York, USA., pp: 153-208.

Hudgins, B., P. Parker and R.N. Scott, 1993. A new strategy for multifunction myoelectric control. IEEE. Trans. Biomed. Eng., 40: 82-94.
CrossRef  |  Direct Link  |  

Lei, M., Z. Wang and Z. Feng, 2001. Detecting nonlinearity of action surface EMG signal. Phys. Lett. A., 290: 297-303.
Direct Link  |  

Narayan, Y., L. Mathew and S. Chatterji, 2017. sEMG signal classification using discrete wavelet transform and decision tree classifier. Intl. J. Control Theory Appl., 10: 511-517.
Direct Link  |  

Oskoei, M.A. and H. Hu, 2006. GA based feature subset selection of myoelectric classification. Proceeding of International Conference on Robot Biomimetics, December 17-20, 2006, IEEE, Kunming, China, ISBN:1-4244-0570-X, pp: 1465-1470.

Oskoei, M.A. and H. Hu, 2007. Myoelectric control systems: A survey. Biomed. Signal Process. Control, 23: 275-294.
CrossRef  |  

Phinyomark, A., A. Nuidod, P. Phukpattaranont and C. Limsakul, 2012. Feature extraction and reduction of wavelet transform coefficients for EMG pattern classification. Electron. Electr. Eng., 122: 27-32.
Direct Link  |  

Phinyomark, A., C. Limsakul and P. Phukpattaranont, 2009. An optimal wavelet function based on wavelet denoising for multifunction myoelectric control. Proceedings of the 6th International Conference on Electrical Engineering Electronics, Computer, Telecommunications and Information Technology Vol. 2, May 6-9, 2009, IEEE, Pattaya, Chonburi, Thailand, ISBN:978-1-4244-3387-2, pp: 1098-1101.

Phinyomark, A., P. Phukpattaranont and C. Limsakul, 2012. Feature reduction and selection for EMG signal classification. Expert Syst. Appl., 39: 7420-7431.
Direct Link  |  

Phinyomark, A., P. Phukpattaranont and C. Limsakul, 2012. Feature reduction and selection for EMG signal classification. Expert Syst. Appl., 39: 7420-7431.
Direct Link  |  

Reaz, M.B.I., M.S. Hussain and F. Mohd-Yasin, 2006. Techniques of EMG signal analysis: detection, processing, classification and applications. Biol. Proced. Online, 8: 11-35.
Direct Link  |  

Tsai, A.C., J.J. Luh and T.T. Lin, 2015. A novel STFT-ranking feature of multi-channel EMG for motion pattern recognition. Expert Syst. Appl., 42: 3327-3341.
Direct Link  |