Which physiological components are more suitable for visual ERP based brain-computer interface?: A preliminary MEG/EEG study

Luigi Bianchi; Saber Sami; Arjan Hillebrand; Ian P. Fawcett; Lucia R. Quitadamo; Stefano Seri

doi:10.1007/s10548-010-0143-0

Which physiological components are more suitable for visual ERP based brain-computer interface? A preliminary MEG/EEG study

Luigi Bianchi, Saber Sami, Arjan Hillebrand, Ian P. Fawcett, Lucia R. Quitadamo, Stefano Seri

Research output: Contribution to journal › Article › peer-review

Abstract

We investigated which evoked response component occurring in the first 800 ms after stimulus presentation was most suitable to be used in a classical P300-based brain-computer interface speller protocol. Data was acquired from 275 Magnetoencephalographic sensors in two subjects and from 61 Electroencephalographic sensors in four. To better characterize the evoked physiological responses and minimize the effect of response overlap, a 1000 ms Inter Stimulus Interval was preferred to the short (

Original language	English
Pages (from-to)	180-5
Number of pages	6
Journal	Brain Topography
Volume	23
Issue number	2
Early online date	20 Apr 2010
DOIs	https://doi.org/10.1007/s10548-010-0143-0
Publication status	Published - Jun 2010

Keywords

adult
brain
brain mapping
discriminant analysis
electroencephalography
P300 event-related potentials
evoked potentials
female
humans
linear models
magnetoencephalography
male
middle aged
neurological models
occipital lobe
scalp
computer-assisted signal processing
user-computer interface
writing
brain–computer interface

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10.1007/s10548-010-0143-0

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title = "Which physiological components are more suitable for visual ERP based brain-computer interface?: A preliminary MEG/EEG study",

abstract = "We investigated which evoked response component occurring in the first 800 ms after stimulus presentation was most suitable to be used in a classical P300-based brain-computer interface speller protocol. Data was acquired from 275 Magnetoencephalographic sensors in two subjects and from 61 Electroencephalographic sensors in four. To better characterize the evoked physiological responses and minimize the effect of response overlap, a 1000 ms Inter Stimulus Interval was preferred to the short (",

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AU - Hillebrand, Arjan

AU - Fawcett, Ian P.

AU - Quitadamo, Lucia R.

AU - Seri, Stefano

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Which physiological components are more suitable for visual ERP based brain-computer interface? A preliminary MEG/EEG study

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