Adaptive power projection method for accumulative EEG classification.
Annu Int Conf IEEE Eng Med Biol Soc
; 2013: 7052-5, 2013.
Article
en En
| MEDLINE
| ID: mdl-24111369
For the dynamic classification of motor imagery mind states in the brain-computer interface (BCI), we propose a power projection based feature extraction method to classify the electroencephalogram (EEG) signals by combining information accumulative posterior Bayesian approach. This method improves the classification accuracy by maximizing the average projection energy difference of the two types of signals. The experimental results on two BCI competition datasets show that the classification accuracy is about 90%. The results of the classification accuracy and mutual information demonstrate the effectiveness of this method.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Procesamiento de Señales Asistido por Computador
/
Electroencefalografía
/
Interfaces Cerebro-Computador
Límite:
Humans
Idioma:
En
Revista:
Annu Int Conf IEEE Eng Med Biol Soc
Año:
2013
Tipo del documento:
Article
Pais de publicación:
Estados Unidos