P300-based brain computer interface: Reliability and performance in healthy and paralysed participants

@article{Piccione2006P300basedBC,
  title={P300-based brain computer interface: Reliability and performance in healthy and paralysed participants},
  author={F. Piccione and F. Giorgi and Paolo Tonin and Konstantinos Priftis and S. Giove and Stefano Silvoni and Giorgio Palmas and Fabrizio Beverina},
  journal={Clinical Neurophysiology},
  year={2006},
  volume={117},
  pages={531-537}
}
OBJECTIVE This study aimed to describe the use of the P300 event-related potential as a control signal in a brain computer interface (BCI) for healthy and paralysed participants. METHODS The experimental device used the P300 wave to control the movement of an object on a graphical interface. Visual stimuli, consisting of four arrows (up, right, down, left) were randomly presented in peripheral positions on the screen. Participants were instructed to recognize only the arrow indicating a… Expand
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References

SHOWING 1-10 OF 28 REFERENCES
Changing the P300 Brain Computer Interface
TLDR
A potential method for improving control accuracy in brain-computer interfaces using the P300 component of the evoked potential, and preliminary results from an interface experiment show that the configuration of buttons may affect on-line signal classification. Expand
The mental prosthesis: assessing the speed of a P300-based brain-computer interface.
  • E. Donchin, K. Spencer, R. Wijesinghe
  • Computer Science, Medicine
  • IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
  • 2000
TLDR
The data indicate that a P300-based BCI is feasible and practical, however, these conclusions are based on tests using healthy individuals, which indicates that an off line version of the system can communicate at the rate of 7.8 characters a minute and achieve 80% accuracy. Expand
Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials.
TLDR
The analyses suggest that this communication channel can be operated accurately at the rate of 0.20 bits/sec, which means that subjects can communicate 12.0 bits, or 2.3 characters, per min. Expand
Brain–computer interfaces for communication and control
TLDR
With adequate recognition and effective engagement of all issues, BCI systems could eventually provide an important new communication and control option for those with motor disabilities and might also give those without disabilities a supplementary control channel or a control channel useful in special circumstances. Expand
Linear classification of low-resolution EEG patterns produced by imagined hand movements.
  • F. Babiloni, F. Cincotti, +6 authors M. Marciani
  • Computer Science, Medicine
  • IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
  • 2000
TLDR
The results obtained in the first year of an European project named adaptive brain interfaces suggest that the detection of mental imagined activity can be obtained by using the signal space projection (SSP) method as a classifier and a particular type of electrodes can be used in such a BCI device, reconciling the benefits of SL waveforms and the need for the use of few electrodes. Expand
An EEG-based brain-computer interface for cursor control.
TLDR
Refinements in training procedures and in the distribution-based method used to translate mu rhythm amplitudes into cursor movements should further improve this 1-dimensional control. Expand
Design of an EEG-based Brain-Computer Interface (BCI) from Standard Components running in Real-time under Windows - Entwurf eines EEG-basierten Brain-Computer Interfaces (BCI) mit Standardkomponenten, das unter Windows in Echtzeit arbeitet
TLDR
The selection of the appropriate components to construct a low-cost EEG-based brain-computer interface is described and the selection of a suitable programming language and operating system is focused on. Expand
Spatial filter selection for EEG-based communication.
TLDR
The results as a whole demonstrate the importance of proper spatial filter selection for maximizing the signal-to-noise ratio and thereby improving the speed and accuracy of EEG-based communication. Expand
Cognitive processing in completely paralyzed patients with amyotrophic lateral sclerosis
TLDR
This first ERP study of totally paralyzed patients shows that some of them can possess high, perhaps even normal, information processing capacity after a long period of severe immobility and artificial ventilation. Expand
Event related potentials recorded in patients with locked-in syndrome
TLDR
It is possible to record ERPs in patients with locked-in syndrome shortly after the acute ischaemic lesion, and therefore to assess objectively cognitive activities, and the letter recognition paradigm could be implemented to facilitate linguistic communication with patients with Locked-in Syndrome. Expand
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