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

  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 Silvio Giove and Stefano Silvoni and Giorgio Palmas and Fabrizio Beverina},
  journal={Clinical Neurophysiology},

Real-time brain computer interface using imaginary movements

The subject-specific settings applied on the feedback systems have resulted in the development of a successful real-time BCI system with high accuracies.

A P300 based online brain-computer interface system for virtual hand control

A design for a virtual reality (VR) based BCI system that allows human participants to control a virtual hand to make gestures by P300 signals, with a positive peak of potential about 300 ms posterior to the onset of target stimulus.

A P300-based brain–computer interface for people with amyotrophic lateral sclerosis

P300 Brain Computer Interface Control after an Acquired Brain Injury

Key recommendations for advancing the P300 BCI towards an easy to use, home-based system were identified, including reducing the complexity of the setup, ensuring the system becomes more responsive and increasing the overall functionality.

Attention and P300-based BCI performance in people with amyotrophic lateral sclerosis

It is concluded that the ability to keep the attentional filter active during the selection of a target influences performance in BCI control.

Evaluation of P300-Based Brain-Computer Interface in Real-World Contexts

Assessing how background noise and interface color contrast affect user performance and BCI usage preference in a P300-based BCI system should give some insight to the real-world applicability of the current P300 Speller as a nonmuscular communication system, especially for individuals with severe neuromuscular disabilities.

Brain--computer interface (BCI): is it strictly necessary to use random sequences in visual spellers?

The results suggest that: (a) the use of random sequences is not necessary for effective BCI performance; and (b) deterministic sequences can be used in some BCI speller applications.

An independent brain–computer interface using covert non-spatial visual selective attention

The system renders SSVEP-based BCI paradigms possible for paralyzed patients with substantial head or ocular motor impairments by employing covert attention shifts instead of changing gaze direction.

P300-Based Brain–Computer Interface Communication: Evaluation and Follow-up in Amyotrophic Lateral Sclerosis

Mild cognitive impairments in the ALS group may be attributed to motor deficiencies, while no relevant correlation has been found between clinical data and BCI performance, and a positive correlation between age and the BCI-skill in patients was found.

P300 brain computer interface: current challenges and emerging trends

It is concluded that P300 BCIs are quite promising, as several emerging directions have not yet been fully explored and could lead to improvements in bit rate, reliability, usability, and flexibility.



Changing the P300 Brain Computer Interface

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.

The mental prosthesis: assessing the speed of a P300-based brain-computer interface.

  • E. DonchinK. SpencerR. Wijesinghe
  • Computer Science
    IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
  • 2000
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.

Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials.

Brain–computer interfaces for communication and control

Linear classification of low-resolution EEG patterns produced by imagined hand movements.

  • F. BabiloniF. Cincotti M. Marciani
  • Computer Science
    IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
  • 2000
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.

An EEG-based brain-computer interface for cursor control.

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

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.

Spatial filter selection for EEG-based communication.

Cognitive processing in completely paralyzed patients with amyotrophic lateral sclerosis

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.

Event related potentials recorded in patients with locked-in syndrome

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.