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Inhomogeneous point-process entropy: An instantaneous measure of complexity in discrete systems
Physical Review E
Measures of entropy have been widely used to characterize complexity, particularly in physiological dynamical systems modeled in discrete time. Current approaches associate these measures to finite single values within an observation window, thus not being able to characterize the system evolution at each moment in time. Here, we propose a new definition of approximate and sample entropy based on the inhomogeneous point-process theory. The discrete time series is modeled through probabilitydoi:10.1103/physreve.89.052803 pmid:25353840 fatcat:gmsz2b5wrffxzcnneygipmzn44