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[1] Wikimedia Foundation, Inc. (2015, May 22). Wikipedia. (Wikimedia Foundation, Inc.) Retrieved May 14, 2015, from http://en.wikipedia.org/wiki/Artificial_neural_network Link
[2] A. Phinyomark, A. N. (2012). Feature extraction and reduction of wavelet transform coefficients for EMG pattern classification. Electr. Electr. Eng., 122(6), 27–32. doi:http://dx.doi.org/10.5755/j01.eee.122.6.1816 Link
[4] A. Phinyomark, C. L. (2011). Application of wavelet analysis in EMG feature extraction for pattern classification. Meas. Sci. Rev., 11(2), 45–52.doi:http://dx.doi.org/10.2478/v10048-011-0009-y Link
[33] De Vries, S. T. (2011). Recovery of motor imagery ability in stroke patients. Rehabil. Res. Pract. doi:http://dx.doi.org/10.1155/2011/283840 Link
[41] Gao, Q. D. (54). Evaluation of effective connectivity of motor areas during motor imagery and execution using conditional Granger causality.Neuroimage, 1280–1288.doi:http://dx.doi.org/10.1016/j.neuroimage.2010.08.071 Link
[44] Gomez-Rodriguez, M. P.-W. (2011). Closing the sensorimotor loop: haptic feedback facilitates decoding of motor imagery. J. Neural Eng., 8.doi:http://dx.doi.org/10.1088/1741-2560/8/3/036005 Link
[45] Guide, S. (n.d.). https://statistics.laerd.com/statistical-guides/one-way-anova-statistical-guide-2.php Link
[49] Hogan, N. K. (2011). Physically interactive robotic technology for neuromotor rehabilitation. Prog. Brain Res, 192, 59-68.doi:http://dx.doi.org/10.1016/B978-0-444-53355-5.00004-X Link
[54] Ietswaart, M. J. (2011). Mental practice with motor imagery in stroke recovery: randomized controlled trial of efficacy controlled trial of efficacy., 134, 1373–1386. doi:http://dx.doi.org/10.1093/brain/awr077 Link
[59] J.J. Baker, E. S. (2010). Continuous detection and decoding of dexterous finger flexions with implantable myoelectric sensors. IEEE Trans. Rehabil.Eng. Neural Syst., 18(4), 424–432.doi:http://dx.doi.org/10.1109/TNSRE.2010.2047590 Link
[65] Kaiser, V. K.-P. (2011). First steps toward a motor imagery based stroke BCI: new strategy to set up a classifier. Front. Neurosci.doi:http://dx.doi.org/10.3389/fnins.2011.00086 Link
[83] Mani Adib, E. C. (2013). Wavelet-Based Artifact Identification and Separation Technique for EEG Signals during Galvanic Vestibular Stimulation. Computational and Mathematical Methods in Medicine, 1-13.doi:http://dx.doi.org/10.1155/2013/167069 Link
[85] MedCalc Software. (2015, June 2). MedCalc, 15.6. (MedCalc Software) Retrieved May 6, 2015, from https://www.medcalc.org/manual/roc-curves.php Link
[106] Ramos-Murguialday, A. B.-C. (2013). Brain–machine-interface in chronic stroke rehabilitation: a controlled study. Ann. Neurol.doi:http://dx.doi.org/10.1002/ana.23879 Link
[116] Stack Exchange Inc. (2013, December 4). Stackoverflow. (Stack Exchange Inc) Retrieved April 12, 2015, fromhttp://stackoverflow.com/questions/20331468/how-to-avoid-overfitting-in-training-data Link
[129] Wikimedia Foundation, Inc. (2015, June 4). Wikipedia. (Wikimedia Foundation, Inc.) Retrieved May 5, 2015, from http://en.wikipedia.org/wiki/Support_vector_machine Link
[132] Yasunari Hashimoto, J. U. (2013). EEG-based classification of imaginary left and right foot movements using beta. Clinical Neurophysiology.doi:http://dx.doi.org/10.1016/j.clinph.2013.05.006 Link
[3] A. Phinyomark, C. L. (2009). A novel feature extraction for robust EMG pattern recognition. Journal of Computing, 1(1), 71–80 Khác
[5] A.B.M. Aowlad Hossain, M. W. (2015). Left and Right Hand Movements EEG Signals Classification Using Wavelet Transform and Probabilistic Neural Network. International Journal of Electrical and Computer Engineering (IJECE), 5(1), 92-101 Khác
[6] A.S. Gevins, A. R. (1987). Handbook of electroencephalography and clinical neurophysiology, Methods of analysis of brain electrical and magnetic signals. Amsterdam: Elsevier Khác

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