Detecting nonlinearity of action surface EMG signal
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[1] Daniel Graupe,et al. Functional Separation of EMG Signals via ARMA Identification Methods for Prosthesis Control Purposes , 1975, IEEE Transactions on Systems, Man, and Cybernetics.
[2] George N. Saridis,et al. EMG Pattern Analysis and Classification for a Prosthetic Arm , 1982, IEEE Transactions on Biomedical Engineering.
[3] P. Grassberger,et al. Measuring the Strangeness of Strange Attractors , 1983 .
[4] C. J. Luca. Myoelectrical manifestations of localized muscular fatigue in humans. , 1984 .
[5] D. Graupe. EMG pattern analysis for patient-responsive control of FES in paraplegics for walker-supported walking , 1989, IEEE Transactions on Biomedical Engineering.
[6] Knaflitz,et al. Myoelectric manifestations of fatigue in voluntary and electrically elicited contractions. , 1990, Journal of applied physiology.
[7] James Theiler,et al. Testing for nonlinearity in time series: the method of surrogate data , 1992 .
[8] C J De Luca,et al. pH-induced effects on median frequency and conduction velocity of the myoelectric signal. , 1991, Journal of applied physiology.
[9] M. Rosenstein,et al. A practical method for calculating largest Lyapunov exponents from small data sets , 1993 .
[10] R.N. Scott,et al. A new strategy for multifunction myoelectric control , 1993, IEEE Transactions on Biomedical Engineering.
[11] G. Goldberg,et al. Fractal dimension of electromyographic signals recorded with surface electrodes during isometric contractions is linearly correlated with muscle activation , 1994, Muscle & nerve.
[12] James Theiler,et al. On the evidence for how-dimensional chaos in an epileptic electroencephalogram , 1995 .
[13] J. Gitter,et al. Fractal analysis of the electromyographic interference pattern , 1995, Journal of Neuroscience Methods.
[14] T. Kuo,et al. The application of cepstral coefficients and maximum likelihood method in EMG pattern recognition. , 1995, IEEE transactions on bio-medical engineering.
[15] James Theiler,et al. Constrained-realization Monte-carlo Method for Hypothesis Testing , 1996 .
[16] Schreiber,et al. Improved Surrogate Data for Nonlinearity Tests. , 1996, Physical review letters.
[17] Mauricio Barahona,et al. Detection of nonlinear dynamics in short, noisy time series , 1996, Nature.