Descripción
|
|
---|---|
We develop a passive brain-computer interface (BCI) which uses neurofeedback to maintain a high level of attention during the accomplishment of a prolonged task. The attention degree is estimated from EEG signals using methods of nonlinear and statistical time-frequency analyses. We find that the feedback increases the duration of the maximum interval during which the subject maintains substantial attention (150±40 s with feedback versus 100±20 s without feedback). However, the mean degree of attention during this interval is 27% lower than without feedback. The obtained result evidences that the cognitive reserve is limited, and therefore, to maintain high performance for a prolonged time, the brain operates in a 'safe-mode' regime. © 2019 IEEE. | |
Internacional
|
Si |
Nombre congreso
|
7th International Winter Conference on Brain-Computer Interface, BCI 2019 |
Tipo de participación
|
960 |
Lugar del congreso
|
Gangwon; South Korea; |
Revisores
|
Si |
ISBN o ISSN
|
978-153868116-9 |
DOI
|
10.1109/IWW-BCI.2019.8737325 |
Fecha inicio congreso
|
18/02/2020 |
Fecha fin congreso
|
20/02/2020 |
Desde la página
|
8737325 |
Hasta la página
|
8737325 |
Título de las actas
|
7th International Winter Conference on Brain-Computer Interface, BCI 2019 |