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

ALAGÖZ S., ALAGÖZ B. B.

JOURNAL OF BIOLOGICAL PHYSICS, vol.38, no.2, pp.293-303, 2012 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 38 Issue: 2
  • Publication Date: 2012
  • Doi Number: 10.1007/s10867-011-9248-2
  • Journal Name: JOURNAL OF BIOLOGICAL PHYSICS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.293-303
  • Inonu University Affiliated: Yes

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.