References
- [1] Xie, H.B., Zheng, Y.P., Guo, J.Y. (2009). Classification of the mechanomyogram signal using a wavelet packet transform and singular value decomposition for multifunction prosthesis control. Physiological Measurement, 30, 441-457.10.1088/0967-3334/30/5/002
- [2] Engelhart, K., Hudgins, B., Parker, P.A., Stevenson, M. (1999). Classification of the myoelectric signal using time-frequency based representations. Medical Engineering & Physics, 21, 431-438.10.1016/S1350-4533(99)00066-1
- [3] Khezri, M., Jahed, M. (2007). Real-time intelligent pattern recognition algorithm for surface EMG signals. Biomedical Engineering Online, 6, 45.10.1186/1475-925X-6-45
- [4] Qi, L.P., Wakeling, J.M., Ferguson-Pell, M. (2011). Spectral properties of electromyographic and mechanomyographic signals during dynamic concentric and eccentric contractions of the human biceps brachii muscle. Journal of Electromyography and Kinesiology, 21, 1056-1063.10.1016/j.jelekin.2011.08.011
- [5] Qi, L.P., Wakeling, J.M., Green, A., Lambrecht, K., Ferguson-Pell, M. (2011). Spectral properties of electromyographic and mechanomyographic signals during isometric ramp and step contractions in biceps brachii. Journal of Electromyography and Kinesiology, 21, 128-135.10.1016/j.jelekin.2010.09.006
- [6] Von Tscharner, V., Goepfert, B. (2006). Estimation of the interplay between groups of fast and slow muscle fibers of the tibialis anterior and gastrocnemius muscle while running. Journal of Electromyography and Kinesiology, 16, 188-197.10.1016/j.jelekin.2005.07.004
- [7] Wakeling, J.M., Uehli, K., Rozitis, A.I. (2006). Muscle fibre recruitment can respond to the mechanics of the muscle contraction. Journal of the Royal Society Interface, 3, 533-544.10.1098/rsif.2006.0113
- [8] Wakeling, J., Delaney, R., Dudkiewicz, I. (2007). A method for quantifying dynamic muscle dysfunction in children and young adults with cerebral palsy. Gait & Posture, 25, 580-589.10.1016/j.gaitpost.2006.06.009
- [9] Weiderpass, H.A., Pachi, C.G.F., Yamamoto, J.F., Hamamoto, A., Onodera, A.N., Sacco, I.C.N. (2013). Time-frequency analysis methods for detecting effects of diabetic neuropathy. International Journal for Numerical Methods in Biomedical Engineering, 29, 1000-1010.10.1002/cnm.2545
- [10] Yang, J., Zhang, D., Frangi, A.F., Yang, J.Y. (2004). Two-dimensional PCA: A new approach to appearance-based face representation and recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26, 131-137.10.1109/TPAMI.2004.1261097
- [11] Zhang, D.Q., Zhou, Z.H. (2005). (2D)(2)PCA: Two-directional two-dimensional PCA for efficient face representation and recognition. Neurocomputing, 69, 224-231.10.1016/j.neucom.2005.06.004
- [12] Kiatpanichagij, K., Afzulpurkar, N. (2009). Use of supervised discretization with PCA in wavelet packet transformation-based surface electromyrogram classification. Biomedical Signal Processing and Control, 4, 127-138.10.1016/j.bspc.2009.02.004
- [13] Jolliffe, I.T., Cadima, J. (2016). Principal component analysis: A review and recent developments. Philosophical Transactions of The Royal Society A – Mathematical Physical and Engineering Sciences, 374, 20150202.10.1098/rsta.2015.0202
- [14] Bro, R., Smilde, A.K. (2014). Principal component analysis. Analytical Methods, 6, 2812-2831.10.1039/C3AY41907J
- [15] Englehart, K., Hudginsa, B., Chan, A.D.C. (2003). Continuous multifunction myoelectric control using pattern recognition. Technology and Disability, 15, 95-103.10.3233/TAD-2003-15205
- [16] Huang, H., Xie, H.B., Guo, J.Y., Chen, H.J. (2012). Ant colony optimization-based feature selection method for surface electromyography signals classification. Computers in Biology and Medicine, 42, 30-38.10.1016/j.compbiomed.2011.10.004
- [17] Hakonen, M., Piitulainen, H., Visala, A. (2015). Current state of digital signal processing in myoelectric interfaces and related applications. Biomedical Signal Processing and Control, 18, 334-359.10.1016/j.bspc.2015.02.009
- [18] Kilby, J., Prasad, K., Mawston, G. (2016). Multi-channel surface electromyography electrodes: A review. IEEE Sensors Journal, 16, 5510-5519.10.1109/JSEN.2016.2569072
- [19] Lucas, M.F., Gaufriau, A., Pascual, S., Doncarli, C., Farina, D. (2008). Multi-channel surface EMG classification using support vector machines and signal-based wavelet optimization. Biomedical Signal Processing and Control, 3, 169-174.10.1016/j.bspc.2007.09.002
- [20] Farina, D., do Nascimento, O.F., Lucas, M.F., Doncarli, C. (2007). Optimization of wavelets for classification of movement-related cortical potentials generated by variation of force-related parameters. Journal of Neuroscience Methods, 162, 357-363.10.1016/j.jneumeth.2007.01.011