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. Phinyomark, A., P. Phukpattaranont, and C. Limsakul, Feature reduction and selection for EMG signal classification, Expert Systems with Applications, vol. 39, no. 8, pp. 74207431, 201210.1016/j.eswa.2012.01.102Search in Google Scholar

. Oskoei, M.A. and H. Huosheng, Myoelectric control systems—A survey, Biomed. Signal Processing Control, vol. 2, no. 4, pp. 275-294, September, 200710.1016/j.bspc.2007.07.009Search in Google Scholar

. Hudgins, B., P. Parker, and R.N. Scott, A new strategy for multifunction myoelectric control, IEEE Trans. Biomed. Eng., vol. 40, no. 1, pp. 82-94, 199310.1109/10.204774Search in Google Scholar

. Englehart, K., B. Hudgins, P.A. Parker, and M. Stevenson, Classification of the myoelectric signal using time-frequency based representations, Medical Engineering & Physics, vol. 21, no. 6–7, pp. 431-438, 199910.1016/S1350-4533(99)00066-1Search in Google Scholar

. Englehart, K., B. Hudgin, and P.A. Parker, A wavelet-based continuous classification scheme for multifunction myoelectric control, IEEE Trans. Biomed. Eng., vol. 48, no. 3, pp. 302-311, 200110.1109/10.91479311327498Search in Google Scholar

. Cipriani, C., C. Antfolk, M. Controzzi, G. Lundborg, B. Rosen, M.C. Carrozza, and F. Sebelius, Online Myoelectric Control of a Dexterous Hand Prosthesis by Transradial Amputees, IEEE Trans. Neural Syst. Rehabil. Eng., vol. 19, no. 3, pp. 260-270, 201110.1109/TNSRE.2011.210866721292599Search in Google Scholar

. Geethanjali, P. and K.K. Ray, Identification of motion from multi-channel EMG signals for control of prosthetic hand, Australasian Physical & Engineering Sciences in Medicine, vol. 34, no. 3, pp. 419-427, Sepetember, 201110.1007/s13246-011-0079-z21667211Search in Google Scholar

. Khezri, M. and M. Jahed, A Neuro-Fuzzy Inference System for sEMG-Based Identification of Hand Motion Commands, IEEE Transactions on Industrial Electronics, vol. 58, no. 5, pp. 1952-1960, 201110.1109/TIE.2010.2053334Search in Google Scholar

. Oskoei, M.A. and H. Huosheng, Support Vector Machine-Based Classification Scheme for Myoelectric Control Applied to Upper Limb, IEEE Trans. Biomed. Eng., vol. 55, no. 8, pp. 1956-1965, 200810.1109/TBME.2008.91973418632358Search in Google Scholar

. Al-Timemy, A.H., G. Bugmann, J. Escudero, and N. Outram, Classification of Finger Movements for the Dexterous Hand Prosthesis Control With Surface Electromyography, IEEE J. Biomed. Health Inf., vol. 17, no. 3, pp. 608-618, 201310.1109/JBHI.2013.2249590Search in Google Scholar

. Khushaba, R.N., S. Kodagoda, M. Takruri, and G. Dissanayake, Toward improved control of prosthetic fingers using surface electromyogram (EMG) signals, Expert Syst. App., vol. 39, no. 12, pp. 10731-10738, September, 201210.1016/j.eswa.2012.02.192Search in Google Scholar

. Maali, Y. and A. Al-Jumaily, Self-advising support vector machine, Knowledge-Based Systems, vol. 52, pp. 214-222, 201310.1016/j.knosys.2013.08.009Search in Google Scholar

. Cai, D., X. He, and J. Han, SRDA: An efficient algorithm for large-scale discriminant analysis, IEEE Trans. Knowl. Data Eng., vol. 20, no. 1, pp. 1-12, 200810.1109/TKDE.2007.190669Search in Google Scholar

. Tkach, D., H. Huang, and T.A. Kuiken, Study of stability of time-domain features for electromyographic pattern recognition, J Neuro Eng. Rehabil., vol. 7, no. 1, p. 21, 201010.1186/1743-0003-7-21288104920492713Search in Google Scholar

. Chan, A.D.C. and G.C. Green,” Myoelectric control development toolbox,” Proc. 30th Conf.Canadian Med. Bio. Eng. Soc., M0100, 2007Search in Google Scholar

. Schlogl, A. and C. Brunner, BioSig: a free and open source software library for BCI research, Computer, vol. 41, no. 10, pp. 44-50, October, 200810.1109/MC.2008.407Search in Google Scholar

. Chang, C.-C. and C.-J. Lin, LIBSVM: a library for support vector machines, ACM Trans. Int. Syst. Tech. (TIST), vol. 2, no. 3, p. 27, 201110.1145/1961189.1961199Search in Google Scholar

. Englehart, K. and B. Hudgins, A robust, real-time control scheme for multifunction myoelectric control, IEEE Trans. Biomed. Eng., vol. 50, no. 7, pp. 848-854, 200310.1109/TBME.2003.81353912848352Search in Google Scholar

. Jatmiko, W., W. Pambuko, A. Febrian, P. Mursanto, A. Muis, B. Kusumoputro, . . . T. Fukuda, Ranged Subgroup Particle Swarm Optimization for Localizing Multiple Odor Sources, International Journal on Smart Sensing & Intelligent Systems, vol. 3, no. 3, pp. 411-442, September, 201010.21307/ijssis-2017-401Search in Google Scholar

. Neshat, M., A. Adeli, G. Sepidnam, M. Sargolzaei, and A.N. Toosi, A Review of Artificial Fish Swarm Optimization Methods and Applications, International Journal on Smart Sensing & Intelligent Systems, vol. 5, no. 1, pp. 107-148, March, 201210.21307/ijssis-2017-474Search in Google Scholar

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