| Literature DB >> 20041035 |
C-K Peng1, Madalena Costa, Ary L Goldberger.
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.Entities:
Year: 2009 PMID: 20041035 PMCID: PMC2798133 DOI: 10.1142/S1793536909000035
Source DB: PubMed Journal: Adv Adapt Data Anal ISSN: 1947-9840