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Quantifying Heartbeat Dynamics by Magnitude and Sign Correlations
 

Summary: Quantifying Heartbeat Dynamics by Magnitude
and Sign Correlations
Plamen Ch. Ivanov£
, Yosef Ashkenazy
, Jan W. Kantelhardt
and
H.Eugene Stanley
£
Center for Polymer Studies and Department of Physics, Boston University, Boston, MA 02215 and
Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts 02215,
USA

Center for Polymer Studies and Department of Physics, Boston University, Boston, MA 02215
Abstract. We review a recently developed approach for analyzing time series with long-range cor-
relations by decomposing the signal increment series into magnitude and sign series and analyzing
their scaling properties. We show that time series with identical long-range correlations can exhibit
different time organization for the magnitude and sign. We apply our approach to series of time
intervals between consecutive heartbeats. Using the detrended fluctuation analysis method we find
that the magnitude series is long-range correlated, while the sign series is anticorrelated and that
both magnitude and sign series may have clinical applications. Further, we study the heartbeat mag-

  

Source: Ashkenazy, Yossi "Yosef" - Department of Solar Energy and Environmental Physics, Jacob Blaustein Institutes for Desert Research,Ben-Gurion University of the Negev
Stanley, H. Eugene - Department of Physics, Boston University

 

Collections: Computer Technologies and Information Sciences; Environmental Management and Restoration Technologies; Materials Science; Physics