title: On the methodological unification in electroencephalography.
abstract: BACKGROUND
  This paper presents results of a pursuit of a repeatable and objective methodology of analysis of the electroencephalographic (EEG) time series.
  
  
  METHODS
  Adaptive time-frequency approximations of EEG are discussed in the light of the available experimental and theoretical evidence, and applicability in various experimental and clinical setups.
  
  
  RESULTS
  Four lemmas and three conjectures support the following conclusion.
  
  
  CONCLUSIONS
  Adaptive time-frequency approximations of signals unify most of the univariate computational approaches to EEG analysis, and offer compatibility with its traditional (visual) analysis, used in clinical applications.
authors.affiliation: Institute of Experimental Physics, Warsaw University, ul, Hoza 69 00-681 Warszawa, Poland. durka@fuw.edu.pl
authors.forename: Piotr J
authors.initials: PJ
authors.lastname: Durka
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000465:Algorithms; D000818:Animals; D001683:Biological Clocks / Q000502:physiology*; D001921:Brain / Q000502:physiology*; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D008959:Models, Neurological