Investigating the underlying Markovian dynamics of ECG rhythms by information flow

DOI10.1016/S0960-0779(01)00102-3zbMath0998.92026MaRDI QIDQ1600553

Gustavo Deco, Rosaria Silipo, Rossano Vergassola, Celio Gremigni, Bernd Schürmann

Publication date: 17 June 2002

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

zbMATH Keywords

time seriesMarkov modelsinformation flowheart rate variability

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Medical applications (general) (92C50)

Cites Work

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• Testing for nonlinearity in time series: the method of surrogate data
• Determining Lyapunov exponents from a time series
• Dynamics extraction in multivariate biomedical time series
• Exploring the intrinsic information loss in single-humped maps by refining multi-symbol partitions
• Finite Continuous Time Markov Chains
• Dynamics of heart rate
• Simulation of Heartbeat Dynamics: A Nonlinear Model
• Handbook of stochastic methods for physics, chemistry and the natural sciences.

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