EEG-based BCI control schemes for lower-limb assistive-robots

M Tariq, PM Trivailo, M Simic - Frontiers in human neuroscience, 2018 - frontiersin.org
Over recent years, brain-computer interface (BCI) has emerged as an alternative
communication system between the human brain and an output device. Deciphered intents …

A review of the progression and future implications of brain-computer interface therapies for restoration of distal upper extremity motor function after stroke

A Remsik, B Young, R Vermilyea… - Expert review of …, 2016 - Taylor & Francis
Stroke is a leading cause of acquired disability resulting in distal upper extremity functional
motor impairment. Stroke mortality rates continue to decline with advances in healthcare and …

An end-to-end deep learning approach to MI-EEG signal classification for BCIs

H Dose, JS Møller, HK Iversen… - Expert Systems with …, 2018 - Elsevier
Goal: To develop and implement a Deep Learning (DL) approach for an
electroencephalogram (EEG) based Motor Imagery (MI) Brain-Computer Interface (BCI) …

A randomized controlled trial of EEG-based motor imagery brain-computer interface robotic rehabilitation for stroke

KK Ang, KSG Chua, KS Phua, C Wang… - Clinical EEG and …, 2015 - journals.sagepub.com
Electroencephalography (EEG)–based motor imagery (MI) brain-computer interface (BCI)
technology has the potential to restore motor function by inducing activity-dependent brain …

Motor imagery EEG signal classification using image processing technique over GoogLeNet deep learning algorithm for controlling the robot manipulator

A Ak, V Topuz, I Midi - Biomedical Signal Processing and Control, 2022 - Elsevier
Controlling of a robotic arm using a brain-computer interface (BCI) is one of the most
impressive applications. In this study, a novel method for the classification of motor imaging …

Brain-computer interface controlled robotic gait orthosis

AH Do, PT Wang, CE King, SN Chun… - … of neuroengineering and …, 2013 - Springer
Background Excessive reliance on wheelchairs in individuals with tetraplegia or paraplegia
due to spinal cord injury (SCI) leads to many medical co-morbidities, such as cardiovascular …

A closed-loop brain–computer interface triggering an active ankle–foot orthosis for inducing cortical neural plasticity

R Xu, N Jiang, N Mrachacz-Kersting… - IEEE Transactions …, 2014 - ieeexplore.ieee.org
In this paper, we present a brain–computer interface (BCI) driven motorized ankle–foot
orthosis (BCI-MAFO), intended for stroke rehabilitation, and we demonstrate its efficacy in …

Review of devices used in neuromuscular electrical stimulation for stroke rehabilitation

K Takeda, G Tanino, H Miyasaka - Medical Devices: Evidence and …, 2017 - Taylor & Francis
Neuromuscular electrical stimulation (NMES), specifically functional electrical stimulation
(FES) that compensates for voluntary motion, and therapeutic electrical stimulation (TES) …

Single-trial decoding of movement intentions using functional ultrasound neuroimaging

SL Norman, D Maresca, VN Christopoulos, WS Griggs… - Neuron, 2021 - cell.com
New technologies are key to understanding the dynamic activity of neural circuits and
systems in the brain. Here, we show that a minimally invasive approach based on …

Brain-computer interfaces systems for upper and lower limb rehabilitation: a systematic review

D Camargo-Vargas, M Callejas-Cuervo, S Mazzoleni - Sensors, 2021 - mdpi.com
In recent years, various studies have demonstrated the potential of electroencephalographic
(EEG) signals for the development of brain-computer interfaces (BCIs) in the rehabilitation of …