Complexity and Predictability of the Heartbeat Time Series in Transplanted Subjects

DOI10.1142/S0218127497000558zbMath0891.92015OpenAlexW2017788028MaRDI QIDQ4374533

Clara Carpeggiani, Rita Balocchi, Michele Barbi, Claudio Michelassi, S. Chillemi, Angelo Di Garbo

Publication date: 4 February 1998

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218127497000558

zbMATH Keywords

time seriesstochastic dynamicspredictabilityheart rate variabilityheart rhythmheart transplanted subjectssinus arrhythmia

Mathematics Subject Classification ID

Medical applications (general) (92C50) Physiology (general) (92C30)

Cites Work

• Unnamed Item
• Testing for nonlinearity in time series: the method of surrogate data
• NONLINEAR FORECASTING OF SPIKE TRAINS FROM SENSORY NEURONS
• ON CHAOS DETECTION METHODS
• Nonlinear forecasting for the classification of natural time series

This page was built for publication: Complexity and Predictability of the Heartbeat Time Series in Transplanted Subjects