A new approach for nonlinear time series characterization, “DivA”

DivA, acronym of divergence algorithm, a novel approach for the characterization of nonlinear time series has been developed. This new methodology is based on a numerical algorithm that calculates the divergence curve from which the maximum Lyapunov exponent and the asymptotic trajectories divergence can be extracted. The consistence of the algorithm, DivA, has been proved by making a comparison with another tool on chaotic systems. The novelty of the algorithms, DivA, lays on its lightness since it skips intermediate computational steps permitting its easy implementation on standalone devices for fast analysis of huge data like physiological signals.