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 …

Progress in EEG‐Based Brain Robot Interaction Systems

X Mao, M Li, W Li, L Niu, B Xian… - Computational …, 2017 - Wiley Online Library
The most popular noninvasive Brain Robot Interaction (BRI) technology uses the
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 …

M Jochumsen, IK Niazi, D Taylor… - Journal of neural …, 2015 - iopscience.iop.org
Objective. To detect movement intention from executed and imaginary palmar grasps in
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 …

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 …

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 …

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
content Thank you for visiting nature.com. You are using a browser version with limited support …

Decoding premovement patterns with task-related component analysis

F Duan, H Jia, Z Sun, K Zhang, Y Dai, Y Zhang - Cognitive Computation, 2021 - Springer
Noninvasive brain–computer interface (BCI)-based electroencephalograms (EEGs) have
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

Z Cao, AR John, HT Chen, KE Martens… - … on Neural Systems …, 2021 - ieeexplore.ieee.org
Mobility is severely impacted in patients with Parkinson's disease (PD), who often
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 …