Physiologic complexity is an important concept to characterize time series from biological systems, which associated to … complexity metrics as function of time scales. Complexity metrics are derived from nonadditive entropy supported by generation of … surrogate data, i.e. SDiffqmax, qmax and qzero. In order to access accuracy of proposed complexity metrics, receiver operating …

Multiscale entropy (MSE) is an effective method to measure the complexity of signals from complex systems, which has … complexity measurement. Thus we introduce an empirical mode decomposition based RCMSE, called EMD–RCMSE to first eliminate such … effects of trends and then measure the complexity of signals. It is validated from simulated signals and has good estimation …

The definition of complexity, simultaneously introduced by Kolmogorov and Chaitin, has given a numerical measure to … deals with the complexity of most real systems, and biological objects in particular. We try to overcome this difficulty by … discussing a possible thermodynamic definition of complexity based on energy balance. The Kolmogorov–Chaitin definition of …

power exponents, can be seen as an indicator that complexity theory can work as a means of stylistic study. The paper links …

are characterized by a level of uncertainty approximately constant with the threshold magnitude. The complexity measure … the types of seismic series, indicating an increasing complexity with the decrease of the threshold magnitude and the …

behaviour called the Lempel–Ziv complexity. …

complexity of a system behind a time series. The permutation entropy only provides one detail of the ordinal structure of a time …