title: Model-related analysis of EEG burst patterns in sedated patients.
abstract: A model-related analysis approach was introduced to study amplitude-frequency dependencies within and between EEG frequency components. An oscillator network was used to model EEG burst patterns of sedated patients during encephalographic burst-suppression periods (BSP). The parameter set of the oscillator network was determined for a set of bursts during BSP. In this way, these burst-related parameter sets were used to investigate (i) the dynamics of interrelation of the amplitude and frequency within and between the frequency components during the occurrence of burst patterns and (ii) changes of signal properties (burst-by-burst) during the BSP. Representative results are demonstrated for one patient (group of 7 patients).
authors.affiliation: Inst. of Med. Stat., Comput. Sci. & Documentation, Friedrich-Schiller-Univ., Jena, Germany. l.leistritz@imsid.uni-jena.de
authors.forename: L
authors.initials: L
authors.lastname: Leistritz
authors.forename: P
authors.initials: P
authors.lastname: Putsche
authors.forename: J
authors.initials: J
authors.lastname: Haueisen
authors.forename: H
authors.initials: H
authors.lastname: Witte
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D016292:Procedural Sedation; D003627:Data Interpretation, Statistical; D004569:Electroencephalography / Q000295:instrumentation* / Q000379:methods*; D006801:Humans; D015233:Models, Statistical; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D009991:Oscillometry; D010363:Pattern Recognition, Automated; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013997:Time Factors