Classification of Mental Tasks Using Fixed and Adaptive Autoregressive Models of EEG Signals

Classification of EEG signals extracted during mental tasks is a technique for designing brain computer interfaces (BCI). In this paper, we classify EEG signals that were extracted during mental tasks using fixed autoregressive (FAR) and adaptive AR (AAR) models. Five different mental tasks from 4 s...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	International IEEE/EMBS Conference on Neural Engineering (Online) S. 633 - 636
Hauptverfasser:	Nai-Jen Huan, Palaniappan, R.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 2005
Schlagworte:	Backpropagation algorithms Brain computer interfaces Brain modeling Data mining Electroencephalography Feature extraction Least squares approximation Multilayer perceptrons Neural networks Signal design
ISBN:	9780780387102, 0780387104
ISSN:	1948-3546
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!