Title :
Decomposition of heartbeat time series: scaling analysis of the sign sequence
Author :
Ashkenazy, Y. ; Ivanov, Pch ; Havlin, S. ; Peng, Ck ; Yamamoto, Y. ; Goldberger, A.L. ; Stanley, He
Author_Institution :
Center for Polymer Studies, Boston Univ., MA, USA
Abstract :
The cardiac interbeat (RR) increment time series can be decomposed into two sub-sequences: a magnitude series and a sign series. The authors show that the sign sequence, a simple binary representation of the original RR series, retains fundamental scaling properties of the original series, is robust with respect to outliers, and may provide useful information about neuroautonomic control mechanisms
Keywords :
biocontrol; cardiology; medical signal processing; neurophysiology; time series; fundamental scaling properties; heartbeat time series decomposition; magnitude series; neuroautonomic control mechanisms; original RR series; outliers; scaling analysis; sign sequence; sign series; simple binary representation; Fluctuations; Heart beat; Helium; Mechanical factors; Medical diagnostic imaging; Physics education; Physiology; Polymers; Rail to rail inputs; Time series analysis;
Conference_Titel :
Computers in Cardiology 2000
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7803-6557-7
DOI :
10.1109/CIC.2000.898475
