title: ADAPTIVE DATA ANALYSIS OF COMPLEX FLUCTUATIONS IN PHYSIOLOGIC TIME SERIES.
abstract: We introduce a generic framework of dynamical complexity to understand and quantify fluctuations of physiologic time series. In particular, we discuss the importance of applying adaptive data analysis techniques, such as the empirical mode decomposition algorithm, to address the challenges of nonlinearity and nonstationarity that are typically exhibited in biological fluctuations.
authors.affiliation: Margret & H.A. Rey Institute of Nonlinear Dynamics in Physiology and Medicine Division of Interdisciplinary Medicine and Biotechnology Beth Israel Deaconess Medical Center Harvard Medical School 330 Brookline Ave., Boston, MA 02215, USA.
authors.forename: C-K
authors.initials: CK
authors.lastname: Peng
authors.forename: Madalena
authors.initials: M
authors.lastname: Costa
authors.forename: Ary L
authors.initials: AL
authors.lastname: Goldberger