title: FAD-parametric description of EEG time series.
abstract: A new method of the EEG time series parametric description was elaborated. The procedure consists of the following steps: calculation of AR model coefficients, the estimation of the transfer function in the form of parallel filters, finding of the impulse response function parameters. The parameters: frequencies, amplitudes and damaging coefficients (FAD) characterise the basic EEG waves. The average properties of the EEG signals are presented in the form of rhythm diagrams. The method overcomes the difficulties in arbitrary partitioning of the EEG power spectrum into the frequency bands and makes possible the reduction of electroencephalographic data to the few parameters characterising basic rhythms.
authors.affiliation: Medical Physics Laboratory, Warsaw University.
authors.forename: P J
authors.initials: PJ
authors.lastname: Franaszczuk
authors.forename: P
authors.initials: P
authors.lastname: Mitraszewski
authors.forename: K
authors.initials: K
authors.lastname: Blinowska
mesh_terms: D004569:Electroencephalography / Q000187:drug effects*; D005182:Flavin-Adenine Dinucleotide / Q000494:pharmacology*; D006801:Humans; D008959:Models, Neurological; D013996:Time and Motion Studies
chemical_list: D005182:Flavin-Adenine Dinucleotide