A distance-based dynamical transition analysis of time series signals and application to biological systems |
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Authors: | Serkan Alagoz Baris Baykant Alagoz |
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Affiliation: | (1) Department of Physics, Inonu University, Malatya, Turkey;(2) Department of Electric-Electronics Engineering, Inonu University, Malatya, Turkey; |
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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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Keywords: | Dynamical system analysis Chaos Epilepsy seizure prediction from EEG signal |
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