Time-frequency selection in two bipolar channels for improving the classification of motor imagery EEG.
Annu Int Conf IEEE Eng Med Biol Soc
; 2012: 2744-7, 2012.
Article
em En
| MEDLINE
| ID: mdl-23366493
ABSTRACT
Time and frequency information is essential to feature extraction in a motor imagery BCI, in particular for systems based on a few channels. In this paper, we propose a novel time-frequency selection method based on a criterion called Time-frequency Discrimination Factor (TFDF) to extract discriminative event-related desynchronization (ERD) features for BCI data classification. Compared to existing methods, the proposed approach generates better classification performances (mean kappa coefficient= 0.62) on experimental data from the BCI competition IV dataset IIb, with only two bipolar channels.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Eletroencefalografia
Limite:
Humans
Idioma:
En
Revista:
Annu Int Conf IEEE Eng Med Biol Soc
Ano de publicação:
2012
Tipo de documento:
Article