Employing an active mental task to enhance the performance of auditory attention-based brain–computer interfaces

Highlights ► The active mental task (AMT) generated a stronger late positive ERP response other than the P300 evoked by a traditional oddball counting paradigm. ► The AMT paradigm was explored from its basic neurophysiological characteristics to BCI classification accuracies. ► The results indicate...

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Bibliographic Details
Published in:Clinical neurophysiology 2013-01, Vol.124 (1), p.83-90
Main Authors: Xu, Honglai, Zhang, Dan, Ouyang, Minhui, Hong, Bo
Format: Article
Language:English
Subjects:
Acoustic Stimulation
Active mental task
Adult
Attention - physiology
Auditory evoked potentials
Auditory Perception - physiology
Behavioral psychophysiology
Biological and medical sciences
Brain-Computer Interfaces - classification
Brain–computer interfaces
Data Interpretation, Statistical
Electrodiagnosis. Electric activity recording
Electroencephalography
Electrophysiology
Evoked Potentials, Auditory - physiology
Female
Fundamental and applied biological sciences. Psychology
Humans
Investigative techniques, diagnostic techniques (general aspects)
Male
Medical sciences
Mental Processes - physiology
Nervous system
Neurology
Psychology. Psychoanalysis. Psychiatry
Psychology. Psychophysiology
Psychomotor Performance - physiology
Reaction Time - physiology
Young Adult
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Summary:Highlights ► The active mental task (AMT) generated a stronger late positive ERP response other than the P300 evoked by a traditional oddball counting paradigm. ► The AMT paradigm was explored from its basic neurophysiological characteristics to BCI classification accuracies. ► The results indicate that the AMT paradigm is a candidate for improving the performance of auditory BCIs.
ISSN:1388-2457
1872-8952
DOI:10.1016/j.clinph.2012.06.004