Past, present, and future of EEG-based BCI applications
K Värbu, N Muhammad, Y Muhammad - Sensors, 2022 - mdpi.com
An electroencephalography (EEG)-based brain–computer interface (BCI) is a system that
provides a pathway between the brain and external devices by interpreting EEG. EEG …
provides a pathway between the brain and external devices by interpreting EEG. EEG …
Progress in EEG‐Based Brain Robot Interaction Systems
The most popular noninvasive Brain Robot Interaction (BRI) technology uses the
electroencephalogram‐(EEG‐) based Brain Computer Interface (BCI), to serve as an …
electroencephalogram‐(EEG‐) based Brain Computer Interface (BCI), to serve as an …
Detecting and classifying movement-related cortical potentials associated with hand movements in healthy subjects and stroke patients from single-electrode, single …
Objective. To detect movement intention from executed and imaginary palmar grasps in
healthy subjects and attempted executions in stroke patients using one EEG channel …
healthy subjects and attempted executions in stroke patients using one EEG channel …
Motor imagery and gait control in Parkinson's disease: Techniques and new perspectives in neurorehabilitation
G Cuomo, V Maglianella… - Expert Review of …, 2022 - Taylor & Francis
Introduction Motor imagery (MI), defined as the ability to mentally represent an action without
actual movement, has been used to improve motor function in athletes and, more recently, in …
actual movement, has been used to improve motor function in athletes and, more recently, in …
Detection of the onset of upper-limb movements based on the combined analysis of changes in the sensorimotor rhythms and slow cortical potentials
J Ibáñez, JI Serrano, MD Del Castillo… - Journal of neural …, 2014 - iopscience.iop.org
Objective. Characterizing the intention to move by means of electroencephalographic
activity can be used in rehabilitation protocols with patients' cortical activity taking an active …
activity can be used in rehabilitation protocols with patients' cortical activity taking an active …
Upper limb intention tremor assessment: opportunities and challenges in wearable technology
N Paredes-Acuna, D Utpadel-Fischler, K Ding… - Journal of …, 2024 - Springer
Background Tremors are involuntary rhythmic movements commonly present in neurological
diseases such as Parkinson's disease, essential tremor, and multiple sclerosis. Intention …
diseases such as Parkinson's disease, essential tremor, and multiple sclerosis. Intention …
Patent landscape of brain–machine interface technology
A Greenberg, A Cohen, M Grewal - Nature Biotechnology, 2021 - nature.com
Patent landscape of brain–machine interface technology | Nature Biotechnology Skip to main
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Decoding premovement patterns with task-related component analysis
Noninvasive brain–computer interface (BCI)-based electroencephalograms (EEGs) have
made great progress in cognitive activities detection. However, the decoding of …
made great progress in cognitive activities detection. However, the decoding of …
Identification of EEG dynamics during freezing of gait and voluntary stopping in patients with Parkinson's disease
Mobility is severely impacted in patients with Parkinson's disease (PD), who often
experience involuntary stopping from the freezing of gait (FOG). Understanding the …
experience involuntary stopping from the freezing of gait (FOG). Understanding the …
Single-trial movement intention detection estimation in patients with Parkinson's disease: A movement-related cortical potential study
M Jochumsen, KB Poulsen, SL Sørensen… - Journal of Neural …, 2024 - iopscience.iop.org
Objectives. Parkinson patients often suffer from motor impairments such as tremor and
freezing of movement that can be difficult to treat. To unfreeze movement, it has been …
freezing of movement that can be difficult to treat. To unfreeze movement, it has been …