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...

Full description

Bibliographic Details

Published in:	International IEEE/EMBS Conference on Neural Engineering (Online) pp. 633 - 636
Main Authors:	Nai-Jen Huan, Palaniappan, R.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 2005
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!