Using adaptive autoregressive parameters for a brain-computer-interface experiment

Author

Schloegl, A. ; Lugger, K. ; Pfurtscheller, G.

Author_Institution

Ludwig Boltzmann Inst. for Med. Inf. & Neuroinf., Graz, Austria

Volume

4

fYear

1997

fDate

30 Oct-2 Nov 1997

Firstpage

1533

Abstract

In an online EEG discrimination task, continuous feedback was presented. The EEG was recorded during imagination of left and right hand movement and analyzed with adaptive autoregressive parameters. The parameter discrimination was fed back in form of a rectangular bar on a computer screen over a period of four seconds. An online classification result of more than 90% was obtained after a few sessions

Keywords

adaptive signal processing; autoregressive processes; computerised instrumentation; electroencephalography; medical signal processing; online operation; signal classification; 4 s; adaptive autoregressive parameters; brain-computer interface; computer screen; continuous feedback; hand movement imagination; left hand movement; online EEG discrimination task; online classification; rectangular bar; right hand movement; Biomedical computing; Biomedical informatics; Brain modeling; Delay estimation; Electroencephalography; Frequency; Least squares approximation; Linear discriminant analysis; Neurofeedback; Parameter estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1094-687X

Print_ISBN

0-7803-4262-3

Type

conf

DOI

10.1109/IEMBS.1997.757002

Filename

757002