Alagoz, SerkanAlagoz, Baris Baykant2024-08-042024-08-0420120092-0606https://doi.org/10.1007/s10867-011-9248-2https://hdl.handle.net/11616/95722This 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.eninfo:eu-repo/semantics/openAccessDynamical system analysisChaosEpilepsy seizure prediction from EEG signalArticle3822933032344974310.1007/s10867-011-9248-22-s2.0-84863858688N/AWOS:000302868400008Q4