title: A distance-based dynamical transition analysis of time series signals and application to biological systems.
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.
authors: Department of Physics, Inonu University, Malatya, Turkey.
authors: Serkan
authors: S
authors: Alagoz
authors: Baris Baykant
authors: BB
authors: Alagoz
keywords: Chaos; Dynamical system analysis; Epilepsy seizure prediction from EEG signal