A distance-based dynamical transition analysis of time series signals and application to biological systems

被引：0
|
作者：
Serkan Alagoz
Baris Baykant Alagoz
机构：
[1] Inonu University,Department of Physics
[2] Inonu University,Department of Electric
来源：
Journal of Biological Physics | 2012年 / 38卷
关键词：
Dynamical system analysis; Chaos; Epilepsy seizure prediction from EEG signal;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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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收藏
页码：293 / 303
页数：10
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