A review on lower limb rehabilitation exoskeleton robots

D Shi, W Zhang, W Zhang, X Ding - Chinese Journal of Mechanical …, 2019 - Springer
Lower limb rehabilitation exoskeleton robots integrate sensing, control, and other
technologies and exhibit the characteristics of bionics, robotics, information and control …

[HTML][HTML] Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application

MA Khan, R Das, HK Iversen… - Computers in biology and …, 2020 - Elsevier
Strokes are a growing cause of mortality and many stroke survivors suffer from motor
impairment as well as other types of disabilities in their daily life activities. To treat these …

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 …

Brain–machine interfaces for controlling lower-limb powered robotic systems

Y He, D Eguren, JM Azorín, RG Grossman… - Journal of neural …, 2018 - iopscience.iop.org
Objective. Lower-limb, powered robotics systems such as exoskeletons and orthoses have
emerged as novel robotic interventions to assist or rehabilitate people with walking …

Brain-computer interface for hands-free teleoperation of construction robots

Y Liu, M Habibnezhad, H Jebelli - Automation in Construction, 2021 - Elsevier
Recently, the use of collaborative robots has started to emerge at construction sites. Such
incorporation into these human-dominated environments can raise safety concerns as most …

A review of brain activity and EEG-based brain–computer interfaces for rehabilitation application

M Orban, M Elsamanty, K Guo, S Zhang, H Yang - Bioengineering, 2022 - mdpi.com
Patients with severe CNS injuries struggle primarily with their sensorimotor function and
communication with the outside world. There is an urgent need for advanced neural …

Efficient neuroplasticity induction in chronic stroke patients by an associative brain-computer interface

N Mrachacz-Kersting, N Jiang… - Journal of …, 2016 - journals.physiology.org
Brain-computer interfaces (BCIs) have the potential to improve functionality in chronic stoke
patients when applied over a large number of sessions. Here we evaluated the effect and …

Sparse group representation model for motor imagery EEG classification

Y Jiao, Y Zhang, X Chen, E Yin, J **… - IEEE journal of …, 2018 - ieeexplore.ieee.org
A potential limitation of a motor imagery (MI) based brain-computer interface (BCI) is that it
usually requires a relatively long time to record sufficient electroencephalogram (EEG) data …

Real-time EEG–EMG human–machine interface-based control system for a lower-limb exoskeleton

SY Gordleeva, SA Lobov, NA Grigorev… - Ieee …, 2020 - ieeexplore.ieee.org
This article presents a rehabilitation technique based on a lower-limb exoskeleton
integrated with a human-machine interface (HMI). HMI is used to record and process …

Control strategies used in lower limb exoskeletons for gait rehabilitation after brain injury: a systematic review and analysis of clinical effectiveness

J de Miguel-Fernández, J Lobo-Prat, E Prinsen… - … of neuroengineering and …, 2023 - Springer
Background In the past decade, there has been substantial progress in the development of
robotic controllers that specify how lower-limb exoskeletons should interact with brain …