title: Normal heartbeat series are nonchaotic, nonlinear, and multifractal: new evidence from semiparametric and parametric tests.
abstract: We present new evidence that normal heartbeat series are nonchaotic, nonlinear, and multifractal. In addition to considering the largest Lyapunov exponent and the correlation dimension, the results of the parametric and semiparametric estimation of the long memory parameter (long-range dependence) unambiguously reveal that the underlying process is nonstationary, multifractal, and has strong nonlinearity.
authors: Departments of Economics and Finance, Michigan State University, East Lansing, Michigan 48824, USA.
authors: Richard T
authors: RT
authors: Baillie
authors: Aydin A
authors: AA
authors: Cecen
authors: Cahit
authors: C
authors: Erkal
mesh_terms: D017709:Fractals; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008955:Models, Cardiovascular; D017711:Nonlinear Dynamics