Brain–computer interface systems: progress and prospects

  title={Brain–computer interface systems: progress and prospects},
  author={Brendan Z. Allison and Elizabeth Winter Wolpaw and Jonathan R. Wolpaw},
  journal={Expert Review of Medical Devices},
  pages={463 - 474}
Brain–computer interface (BCI) systems support communication through direct measures of neural activity without muscle activity. BCIs may provide the best and sometimes the only communication option for users disabled by the most severe neuromuscular disorders and may eventually become useful to less severely disabled and/or healthy individuals across a wide range of applications. This review discusses the structure and functions of BCI systems, clarifies terminology and addresses practical… 

Spelling with Brain-Computer Interfaces Current trends and prospects

This work highlights some current challenges in BCI spellers and virtual keyboards based on recent BCIs based on P300, Steady-State Visual Evoked Potentials (SSVEP) and motor imagery.

The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology

Examples of novel BCI applications which provide evidence for the promising potential of BCI technology for non-medical uses are presented and distinct methodological improvements required to bring non- medical applications ofBCI technology to a diversity of layperson target groups are discussed.

Sensor Modalities for Brain-Computer Interfacing

This paper reviews the different sensor methodologies that have been explored in brain-computer interfaces (BCIs) studies over the past two decades and concludes that such BCI communication is possible and that it can serve useful functions.

The I of BCIs: Next Generation Interfaces for Brain-Computer Interface Systems That Adapt to Individual Users

Five challenges in BCI interface development are described and how they might be addressed with a hypothetical easy BCI system called EZBCI, which requires a new interface that is natural, intuitive, and easy to configure without expert help.

Brain-Computer Interfacing for Intelligent Systems

Advances in cognitive neurosci- ence and brain-imaging technologies give us the unprecedented ability to interface directly with brain activity, enabling communication systems that don't depend on the brain's normal output pathways of peripheral nerves and muscles.

30+ years of P300 brain-computer interfaces.

Brain-computer interfaces that employ the P300 event-related brain potential often have used the visual modality, but challenges remain before these tools can become practical devices for impaired patients and perhaps healthy people.

Usefulness of EGI EEG system in brain computer interface research

This research presents one of the possible efforts towards better documentation of investigating neural correlates of brain processing by becoming familiar with BCI technology and the assessment of the possibilities of selected subjects in the area of P300-based BCI.


It is demonstrated that electrocorticographic (ECoG) activity recorded from the surface of the brain can enable users to control a one -dimensional computer cursor rapidly and accurately.

Braincontrol Basic Communicator: A Brain-Computer Interface Based Communicator for People with Severe Disabilities

The “BrainControl Basic Communicator” (BrainControl BC) is an augmentative and alternative communication (AAC) system based on Brain-computer interface (BCI) technology. The system has been designed

P300 Detection in Electroencephalographic Signals for Brain–Computer Interface Systems: A Neural Networks Approach

Three neural networks models with flexible activation functions are used to detect P300 patterns from electroencephalographic signals more accurately and the obtained results have shown the accuracy of the character recognition based on the precision and recall measures.



Brain–computer interfaces as new brain output pathways

  • J. Wolpaw
  • Biology
    The Journal of physiology
  • 2007
This paper discusses the relevance of two principles that underlie the brain's normal motor outputs and views a BCI as a system that changes the outcome of CNS activity from control of spinal motoneurons to, instead, control of the cortical (or other) area whose signals are used by the BCI to determine the user's intent.

Training locked-in patients: a challenge for the use of brain-computer interfaces

  • N. NeumannA. Kubler
  • Psychology, Medicine
    IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • 2003
The experiences with this patient group including the problems of accepting and rejecting patients, communicating and interacting with patients, how training may be affected by social, familial, and institutional circumstances, and the importance of motivation and available reinforcers are described.

Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface

Results suggest that a sensorimotor rhythm–based BCI could help maintain quality of life for people with ALS.

A practical VEP-based brain-computer interface

The development of a practical brain-computer interface at Tsinghua University uses frequency-coded steady-state visual evoked potentials to determine the gaze direction of the user to ensure more universal applicability of the system.

Brain-computer communication and slow cortical potentials

Recordings show that SCPs are of highest amplitude around the vertex electrode used for feedback, but in some subjects more global distributions were observed, and a new method for control of eye movement is presented.

Brain interface research for asynchronous control applications

The Neil Squire Society has developed asynchronous, direct brain switches for self-paced control applications with mean activation rates of 73% and false positive error rates of 2%. This report

Brain-computer interfaces for control of neuroprostheses: from synchronous to asynchronous mode of operation.

The general steps from a synchronous or cue-guided BCI to an internally driven asynchronous brain-switch are discussed and the future potential of BCI methods for various control purposes, especially for functional rehabilitation of tetraplegics using neuroprosthetics, is outlined.

[A review of brain-computer interfaces (BCIs)].

The general constitutions and principle of BCI systems are introduced and the existing problems and future trends of BCIs are pointed out.

BCI2000: a general-purpose brain-computer interface (BCI) system

This report is intended to describe to investigators, biomedical engineers, and computer scientists the concepts that the BCI2000 system is based upon and gives examples of successful BCI implementations using this system.

Brain–computer interfaces: communication and restoration of movement in paralysis

Non‐invasive brain–computer interfaces and their clinical utility for direct brain communication in paralysis and motor restoration in stroke are focused on, and operant conditioning and voluntary control of autonomic physiological functions turned out to be impossible in this preparation.