A distance-based dynamical transition analysis of time series signals and application to biological systems
Küçük Resim Yok
Tarih
2012
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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.
Açıklama
Anahtar Kelimeler
Dynamical system analysis, Chaos, Epilepsy seizure prediction from EEG signal
Kaynak
Journal of Biological Physics
WoS Q Değeri
Q4
Scopus Q Değeri
N/A
Cilt
38
Sayı
2
