[HTML][HTML] EEG-based brain-computer interfaces for people with disorders of consciousness: features and applications. A systematic review

V Galiotta, I Quattrociocchi, M D'Ippolito… - Frontiers in Human …, 2022 - frontiersin.org
Disorders of Consciousness (DoC) are clinical conditions following a severe acquired brain
injury (ABI) characterized by absent or reduced awareness, known as coma, Vegetative …

A systematic review of research on augmentative and alternative communication brain-computer interface systems for individuals with disabilities

B Peters, B Eddy, D Galvin-McLaughlin… - Frontiers in human …, 2022 - frontiersin.org
Augmentative and alternative communication brain-computer interface (AAC-BCI) systems
are intended to offer communication access to people with severe speech and physical …

Inspiring real-time evaluation and optimization of human–Robot interaction with psychological findings from human–Human interaction

H Liu, F Wang, D Zhang - Applied Sciences, 2023 - mdpi.com
The increasingly central role of robotic agents in daily life requires effective human–robot
interaction (HRI). For roboticists to optimize interaction design, it is crucial to understand the …

What stakeholders with neurodegenerative conditions value about speed and accuracy in development of BCI systems for communication

M Fried-Oken, M Kinsella, I Stevens… - Brain-Computer …, 2024 - Taylor & Francis
This research examined how individuals with neurodegenerative disease value features of
speed and accuracy as they consider potential use of augmentative and alternative …

Recording the tactile P300 with the cEEGrid for potential use in a brain-computer interface

M Eidel, M Pfeiffer, P Ziebell, A Kübler - Frontiers in Human …, 2024 - frontiersin.org
Brain-computer interfaces (BCIs) are scientifically well established, but they rarely arrive in
the daily lives of potential end-users. This could be in part because electroencephalography …

Identifying potential training factors in a vibrotactile P300-BCI

M Eidel, A Kübler - Scientific Reports, 2022 - nature.com
Brain–computer interfaces (BCI) often rely on visual stimulation and feedback. Potential end-
users with impaired vision, however, cannot use these BCIs efficiently and require a non …

Towards a Fast and Robust MI-BCI: Online Adaptation of Stimulus Paradigm and Classification Model

J Wang, W Wang, J Su, Y Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Motor imagery-based brain–computer interface (MI-BCI) has shown promising potential for
improving motor function in neurorehabilitation and motor assistance among patients …

EEG-based functional connectivity for tactile roughness discrimination

T Taleei, MR Nazem-Zadeh, M Amiri… - Cognitive …, 2023 - Springer
Tactile sensation and perception involve cooperation between different parts of the brain.
Roughness discrimination is an important phase of texture recognition. In this study, we …

Correlation between Neurophysiological Measures of Consciousness and BCI Performance in a Locked-in Patient

T Settgast, F Zilio, A Kübler… - 2023 11th International …, 2023 - ieeexplore.ieee.org
This exploratory study searched for systematic correlations between measures of
consciousness in resting-state EEG and the performances reached in subsequently …

Brain Computer Interfaces: An Introduction for Clinical Neurodiagnostic Technologists

J Trott, C Slaymaker, G Niznik, T Althoff… - The Neurodiagnostic …, 2024 - Taylor & Francis
Brain-computer interface (BCI) is a term used to describe systems that translate biological
information into commands that can control external devices such as computers, prosthetics …