A comprehensive review on critical issues and possible solutions of motor imagery based electroencephalography brain-computer interface
Motor imagery (MI) based brain–computer interface (BCI) aims to provide a means of
communication through the utilization of neural activity generated due to kinesthetic …
communication through the utilization of neural activity generated due to kinesthetic …
A review of user training methods in brain computer interfaces based on mental tasks
Mental-tasks based brain–computer interfaces (MT-BCIs) allow their users to interact with an
external device solely by using brain signals produced through mental tasks. While MT-BCIs …
external device solely by using brain signals produced through mental tasks. While MT-BCIs …
Why standard brain-computer interface (BCI) training protocols should be changed: an experimental study
Objective. While promising, electroencephaloraphy based brain–computer interfaces (BCIs)
are barely used due to their lack of reliability: 15% to 30% of users are unable to control a …
are barely used due to their lack of reliability: 15% to 30% of users are unable to control a …
Advances in user-training for mental-imagery-based BCI control: Psychological and cognitive factors and their neural correlates
While being very promising for a wide range of applications, mental-imagery-based brain–
computer interfaces (MI-BCIs) remain barely used outside laboratories, notably due to the …
computer interfaces (MI-BCIs) remain barely used outside laboratories, notably due to the …
Favoring the cognitive-motor process in the closed-loop of BCI mediated post stroke motor function recovery: challenges and approaches
J Mang, Z Xu, YB Qi, T Zhang - Frontiers in Neurorobotics, 2023 - frontiersin.org
The brain-computer interface (BCI)-mediated rehabilitation is emerging as a solution to
restore motor skills in paretic patients after stroke. In the human brain, cortical motor neurons …
restore motor skills in paretic patients after stroke. In the human brain, cortical motor neurons …
Optimized motor imagery paradigm based on imagining Chinese characters writing movement
Background: motor imagery (MI) is a mental representation of motor behavior. The MI-based
brain computer interfaces (BCIs) can provide communication for the physically impaired. The …
brain computer interfaces (BCIs) can provide communication for the physically impaired. The …
From classic motor imagery to complex movement intention decoding: the noninvasive Graz-BCI approach
In this chapter, we give an overview of the Graz-BCI research, from the classic motor
imagery detection to complex movement intentions decoding. We start by describing the …
imagery detection to complex movement intentions decoding. We start by describing the …
A review of control strategies in closed-loop neuroprosthetic systems
It has been widely recognized that closed-loop neuroprosthetic systems achieve more
favorable outcomes for users then equivalent open-loop devices. Improved performance of …
favorable outcomes for users then equivalent open-loop devices. Improved performance of …
Continuous tactile feedback for motor-imagery based brain-computer interaction in a multitasking context
Abstract Motor-Imagery based Brain Computer Interfaces (MI-BCIs) allow users to interact
with computers by imagining limb movements. MI-BCIs are very promising for a wide range …
with computers by imagining limb movements. MI-BCIs are very promising for a wide range …
Tactile sensation assisted motor imagery training for enhanced BCI performance: a randomized controlled study
Objective: Independent of conventional neurofeedback training, in this study, we propose a
tactile sensation assisted motor imagery training (SA-MI Training) approach to improve the …
tactile sensation assisted motor imagery training (SA-MI Training) approach to improve the …