How many people are able to control a P300-based brain–computer interface (BCI)?

Guger, Christoph; Daban, Shahab; Sellers, Eric W.; Holzner, Clemens; Krausz, Gunther; Carabalona, Roberta; Gramatica, Furio; Edlinger, Günter

doi:10.1016/j.neulet.2009.06.045

Cited by 579 publications

(415 citation statements)

References 13 publications

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“…The latter are often called BCI 'illiterate' [Guger et al 2003, Blankertz et al 2006. BCI 'illiteracy' is a common problem in BCI not restricted to MI paradigms [Daum et al 1993, Guger et al 2003, Guger et al 2009, Allison et al 2010. Each type of BCI systems has its own 'illiterates' and approaches to analyse the problem of 'illiteracy' depends on the underlying neurophysiologic phenomena.…”

Section: Introductionmentioning

confidence: 99%

Using a motor imagery questionnaire to estimate the performance of a Brain–Computer Interface based on object oriented motor imagery

Vučković

Osuagwu

2013

Clinical Neurophysiology

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Section: Introductionmentioning

confidence: 99%

Using a motor imagery questionnaire to estimate the performance of a Brain–Computer Interface based on object oriented motor imagery

Vučković

Osuagwu

2013

Clinical Neurophysiology

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“…Using the sniff controller, locked-in participants wrote at a rate similar to that measured by others using a noninvasive P300 brain-machine interface (39,40). In the eyes of the healthy observer, writing at about 3 letters (LI1) or 1.5 letters (LI2) per min may seem frustratingly slow.…”

Section: Pathmentioning

confidence: 75%

Sniffing enables communication and environmental control for the severely disabled

Plotkin

Sela

Weissbrod

et al. 2010

Proc. Natl. Acad. Sci. U.S.A.

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Paradoxically, improvements in emergency medicine have increased survival albeit with severe disability ranging from quadriplegia to "locked-in syndrome." Locked-in syndrome is characterized by intact cognition yet complete paralysis, and hence these individuals are "locked-in" their own body, at best able to communicate using eye blinks alone. Sniffing is a precise sensory-motor acquisition entailing changes in nasal pressure. The fine control of sniffing depends on positioning the soft palate, which is innervated by multiple cranial nerves. This innervation pattern led us to hypothesize that sniffing may remain conserved following severe injury. To test this, we developed a device that measures nasal pressure and converts it into electrical signals. The device enabled sniffs to control an actuator with speed similar to that of a hand using a mouse or joystick. Functional magnetic resonance imaging of device usage revealed a widely distributed neural network, allowing for increased conservation following injury. Also, device usage shared neural substrates with language production, rendering sniffs a promising bypass mode of communication. Indeed, sniffing allowed completely paralyzed locked-in participants to write text and quadriplegic participants to write text and drive an electric wheelchair. We conclude that redirection of sniff motor programs toward alternative functions allows sniffing to provide a control interface that is fast, accurate, robust, and highly conserved following severe injury.locked-in | quadriplegic | soft palate

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“…Usually, ear lobe or mastoid (i.e. bony outgrowth behind the ear) is used as reference channel (Allison and Pineda 2003;Allison and Pineda 2006;McFarland et al 2011;Fazel-Rezai and Abhari 2009;Townsend et al 2010;Guger et al 2009;Talebi et al 2012). Many studies focusing on reference-free methods such as scalp Laplacian (SL) (Yao 2002) and the reference electrode standardization technique (REST) (Qin et al 2010;Yao 2001) have been published.…”

Section: Data Collection and Processingmentioning

confidence: 99%

A comparison study of two P300 speller paradigms for brain–computer interface

Pan

et al. 2013

Cogn Neurodyn

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In this paper, a comparison of two existing P300 spellers is conducted. In the first speller, the visual stimuli of characters are presented in a single character (SC) paradigm and each button corresponding to a character flashes individually in a random order. The second speller is based on a region-based (RB) paradigm. In the first level, all characters are grouped and each button corresponding to a group flashes individually in a random order. Once a group is selected, the characters in it will appear on the flashing buttons of the second level for the selection of desired character. In a spelling experiment involving 12 subjects, higher online accuracy was obtained on the RB paradigmbased P300 speller than the SC paradigm-based P300 speller. Furthermore, we analyzed P300 detection performance, the P300 waveforms and Fisher ratios using the data collected by the two spellers. It was found that the stimuli display paradigm of the RB speller enhances P300 potential and is more suitable for P300 detection.

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How many people are able to control a P300-based brain–computer interface (BCI)?

Cited by 579 publications

References 13 publications

Using a motor imagery questionnaire to estimate the performance of a Brain–Computer Interface based on object oriented motor imagery

Using a motor imagery questionnaire to estimate the performance of a Brain–Computer Interface based on object oriented motor imagery

Sniffing enables communication and environmental control for the severely disabled

A comparison study of two P300 speller paradigms for brain–computer interface

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