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A distance-based dynamical transition analysis of time series signals and application to biological systems
Serkan Alagoz1, Baris Baykant Alagoz
1Department of Physics, Inonu University, Malatya, Turkey.
Abstract:
This study demonstrates an application of distance-based numerical measures to the phase space of time series signals, in order to obtain a temporal analysis of complex dynamical systems. This method is capable of detecting alterations appearing in the characters of the deterministic dynamical systems and provides a simple tool for the real-time analysis of time series data obtained from a complex dynamical system even with black box functionality. The study presents a possible application of the method in the dynamical transition analysis of real EEG records from epilepsy patients.
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