Application of BCI systems in neurorehabilitation: a scoping review
M Bamdad, H Zarshenas, MA Auais - Disability and Rehabilitation …, 2015 - Taylor & Francis
Purpose: To review various types of electroencephalographic activities of the brain and
present an overview of brain–computer interface (BCI) systems' history and their …
present an overview of brain–computer interface (BCI) systems' history and their …
An analysis of performance evaluation for motor-imagery based BCI
In recent years, numerous brain–computer interfaces (BCIs) based on motor-imagery have
been proposed which incorporate features such as adaptive classification, error detection …
been proposed which incorporate features such as adaptive classification, error detection …
Motor imagery and error related potential induced position control of a robotic arm
S Bhattacharyya, A Konar… - IEEE/CAA Journal of …, 2017 - ieeexplore.ieee.org
The paper introduces an electroencephalography U+ 0028 EEG U+ 0029 driven online
position control scheme for a robot arm by utilizing motor imagery to activate and error …
position control scheme for a robot arm by utilizing motor imagery to activate and error …
A review of error-related potential-based brain–computer interfaces for motor impaired people
Regaining the lost functionality of limbs is the top priority for people with motor skills
impairment as it directly affects their ability to execute activities of daily living and hence …
impairment as it directly affects their ability to execute activities of daily living and hence …
Simultaneous real-time detection of motor imagery and error-related potentials for improved BCI accuracy
Abstract Brain-computer interfaces (BCIs), as any other interaction modality based on
physiological signals and body channels (eg, muscular activity, speech and gestures), are …
physiological signals and body channels (eg, muscular activity, speech and gestures), are …
Error-related potentials in reinforcement learning-based brain-machine interfaces
The human brain has been an object of extensive investigation in different fields. While
several studies have focused on understanding the neural correlates of error processing …
several studies have focused on understanding the neural correlates of error processing …
Development of a hybrid mental spelling system combining SSVEP-based brain–computer interface and webcam-based eye tracking
The goal of this study was to develop a hybrid mental speller that can effectively prevent
unexpected typing errors in the steady-state visual evoked potential (SSVEP)-based mental …
unexpected typing errors in the steady-state visual evoked potential (SSVEP)-based mental …
Towards the detection of error-related potentials and its integration in the context of a P300 speller brain–computer interface
A Combaz, N Chumerin, NV Manyakov, A Robben… - Neurocomputing, 2012 - Elsevier
A P300 Speller is a brain–computer interface (BCI) that enables subjects to spell text on a
computer screen by detecting P300 Event-Related Potentials in their …
computer screen by detecting P300 Event-Related Potentials in their …
EEG source imaging of movement decoding: the state of the art and future directions
In this article, we provide an overview of electroencephalography (EEG) source imaging
(ESI) of movement decoding for brain-computer interface (BCI) applications. The current …
(ESI) of movement decoding for brain-computer interface (BCI) applications. The current …
sw-SVM: sensor weighting support vector machines for EEG-based brain–computer interfaces
In many machine learning applications, like brain–computer interfaces (BCI), high-
dimensional sensor array data are available. Sensor measurements are often highly …
dimensional sensor array data are available. Sensor measurements are often highly …