To test whether electromyogram (EMG) is nonlinear deterministic signal or just random noise, we comprehensively analyze four EMGs of an adult woman. At first, we calculate the correlation time, L-Z complexity, approximate entropy (ApEn), maximum Lyapunov exponent (Ly 1 ) and correlation dimension (D corr ) of each EMG data and its ten surrogate data. We find that all the results are quite different between each original EMG and its ten surrogate data, i.e. EMG is not a linear random noise, but

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... nonlinear deterministic signal (though it does not like a low dimensional chaos). EMG is also assessed with recurrence plot analysis (RPA), iterated function system ( IFS) clumpiness test, singular-value decomposition, and Pearson product-moment correlation coefficient (Pearson's correlation). All the results of these assessments show that EMG is different from noise. Thus we conclude that EMG is a signal of high dimensional (D corr range from 4 to 6) chaos. 4 Abstract Subject Terms Report Classification unclassified Classification of this page unclassified Classification of Abstract unclassified Limitation of Abstract UU Number of Pages