Title :
Enhancement of EEG control signals in the development of a brain-computer interface
Author :
Carballido, Julio ; Kostov, Aleksandar ; Martinez, Jorge
Author_Institution :
Dept. of Eng., Iberoamericana Univ., Mexico
Abstract :
While scalp potentials are recorded for extracting the EEG control signals, other undesired signals (artifacts) get superimposed on the EEG. The presence of ocular artifacts could affect the performance of feature extraction by auto regressive coefficients or fast Fourier transform. As a result the subject could loose the control of the cursor movement. This paper deals with the application of some adaptive filtering methods (AF) for canceling ocular artifacts from contaminated and artifact free EEG data, as applied to a BCI
Keywords :
adaptive signal processing; biocontrol; electroencephalography; fast Fourier transforms; feature extraction; handicapped aids; medical signal processing; EEG control signals enhancement; adaptive filtering methods; artifact free EEG data; artifacts canceling; autoregressive coefficients; brain-computer interface development; contaminated EEG data; cursor movement control; feature extraction performance; ocular artifacts; superimposed signals; undesired signals; Adaptive filters; Brain computer interfaces; Electrodes; Electroencephalography; Electrooculography; Feature extraction; Filtering; Independent component analysis; Least squares approximation; Scalp;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.802523
