title: Multiscale analysis of heart rate dynamics: entropy and time irreversibility measures.
abstract: Cardiovascular signals are largely analyzed using traditional time and frequency domain measures. However, such measures fail to account for important properties related to multiscale organization and non-equilibrium dynamics. The complementary role of conventional signal analysis methods and emerging multiscale techniques, is, therefore, an important frontier area of investigation. The key finding of this presentation is that two recently developed multiscale computational tools--multiscale entropy and multiscale time irreversibility--are able to extract information from cardiac interbeat interval time series not contained in traditional methods based on mean, variance or Fourier spectrum (two-point correlation) techniques. These new methods, with careful attention to their limitations, may be useful in diagnostics, risk stratification and detection of toxicity of cardiac drugs.
authors.affiliation: Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center/Harvard Medical School, 330 Brookline Avenue, GZ-431, Boston, MA 02215, USA. mcosta3@bidmc.harvard.edu
authors.forename: Madalena D
authors.initials: MD
authors.lastname: Costa
authors.forename: Chung-Kang
authors.initials: CK
authors.lastname: Peng
authors.forename: Ary L
authors.initials: AL
authors.lastname: Goldberger
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004562:Electrocardiography / Q000379:methods*; D019277:Entropy; D006339:Heart Rate / Q000502:physiology*; D008955:Models, Cardiovascular