Decoding inner speech using electrocorticography: Progress and challenges toward a speech prosthesis

S Martin, I Iturrate, JR Millán, RT Knight… - Frontiers in …, 2018 - frontiersin.org
Certain brain disorders resulting from brainstem infarcts, traumatic brain injury, cerebral
palsy, stroke, and amyotrophic lateral sclerosis, limit verbal communication despite the …

Neural decoding of semantic concepts: A systematic literature review

M Rybář, I Daly - Journal of Neural Engineering, 2022 - iopscience.iop.org
Objective. Semantic concepts are coherent entities within our minds. They underpin our
thought processes and are a part of the basis for our understanding of the world. Modern …

[HTML][HTML] Signal acquisition of brain-computer interfaces: a medical-engineering crossover perspective review

Y Sun, X Chen, B Liu, L Liang, Y Wang, S Gao… - Fundamental …, 2024 - Elsevier
Brain-computer interface (BCI) technology represents a burgeoning interdisciplinary domain
that facilitates direct communication between individuals and external devices. The efficacy …

Code-modulated visual evoked potentials using fast stimulus presentation and spatiotemporal beamformer decoding

B Wittevrongel, E Van Wolputte, MM Van Hulle - Scientific reports, 2017 - nature.com
When encoding visual targets using various lagged versions of a pseudorandom binary
sequence of luminance changes, the EEG signal recorded over the viewer's occipital pole …

Local and remote cooperation with virtual and robotic agents: a P300 BCI study in healthy and people living with spinal cord injury

E Tidoni, M Abu-Alqumsan, D Leonardis… - … on Neural Systems …, 2016 - ieeexplore.ieee.org
The development of technological applications that allow people to control and embody
external devices within social interaction settings represents a major goal for current and …

A novel c-VEP BCI paradigm for increasing the number of stimulus targets based on grouping modulation with different codes

Q Wei, Y Liu, X Gao, Y Wang, C Yang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In an existing brain-computer interface (BCI) based on code modulated visual evoked
potentials (c-VEP), a method with which to increase the number of targets without increasing …

Biomarkers and neuromodulation techniques in substance use disorders

B Habelt, M Arvaneh, N Bernhardt, I Minev - Bioelectronic medicine, 2020 - Springer
Addictive disorders are a severe health concern. Conventional therapies have just moderate
success and the probability of relapse after treatment remains high. Brain stimulation …

Advancing the detection of steady-state visual evoked potentials in brain–computer interfaces

M Abu-Alqumsan, A Peer - Journal of neural engineering, 2016 - iopscience.iop.org
Objective. Spatial filtering has proved to be a powerful pre-processing step in detection of
steady-state visual evoked potentials and boosted typical detection rates both in offline …

A Surgery-Detection Two-Dimensional Panorama of Signal Acquisition Technologies in Brain-Computer Interface

Y Sun, X Chen, B Liu, L Liang, Y Wang, S Gao… - arXiv preprint arXiv …, 2023 - arxiv.org
Brain-computer interface (BCI) technology is an interdisciplinary field that allows individuals
to connect with the external world. The performance of BCI systems relies predominantly on …

A Brain-Computer Interface (BCI) system to use arbitrary Windows applications by directly controlling mouse and keyboard

M Spüler - 2015 37th annual international conference of the …, 2015 - ieeexplore.ieee.org
A Brain-Computer Interface (BCI) allows to control a computer by brain activity only, without
the need for muscle control. In this paper, we present an EEG-based BCI system based on …