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• W2068794874 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." @default.
• W2068794874 created "2016-06-24" @default.
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• W2068794874 date "2011-12-10" @default.
• W2068794874 modified "2023-09-25" @default.
• W2068794874 title "A distance-based dynamical transition analysis of time series signals and application to biological systems" @default.
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• W2068794874 doi "https://doi.org/10.1007/s10867-011-9248-2" @default.
• W2068794874 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3326153" @default.
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