Adaptive autoregressive modeling used for single-trial EEG classification

An adaptive autoregressive (AAR) model is used for analyzing event-related EEG changes. Such an AAR model is applied to single EEG trials of three subjects, recorded over both sensorimotor areas during imagination of left and right hand movements. It is found that discrimination between both types o...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Biomedizinische Technik Jg. 42; H. 6; S. 162
Hauptverfasser: Schlögl, A, Flotzinger, D, Pfurtscheller, G
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Germany 01.06.1997
Schlagworte:
Adult
Algorithms
Brain Mapping
Dominance, Cerebral - physiology
Electroencephalography - classification
Electroencephalography - instrumentation
Evoked Potentials, Motor - physiology
Humans
Mathematical Computing
Models, Statistical
Motor Cortex - physiology
Signal Processing, Computer-Assisted
Somatosensory Cortex - physiology
ISSN:0013-5585
Online-Zugang:Weitere Angaben
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:An adaptive autoregressive (AAR) model is used for analyzing event-related EEG changes. Such an AAR model is applied to single EEG trials of three subjects, recorded over both sensorimotor areas during imagination of left and right hand movements. It is found that discrimination between both types of motor-imagery is possible using linear discriminant analysis, but the time point for optimal classification is different in each subject. For the estimation of the AAR parameters, the Least-mean-squares and the Recursive-least-squares algorithms are compared. In both methods, the update coefficient plays a key role: it determines the adaptation ratio as well as the estimation accuracy. A new method, based on minimizing the prediction error, is introduced for determining the update coefficient.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0013-5585
DOI:10.1515/bmte.1997.42.6.162