Literature review of stroke assessment for upper-extremity physical function via EEG, EMG, kinematic, and kinetic measurements and their reliability

RM Maura, S Rueda Parra, RE Stevens… - Journal of …, 2023 - Springer
Background Significant clinician training is required to mitigate the subjective nature and
achieve useful reliability between measurement occasions and therapists. Previous …

[HTML][HTML] The clinical and electrophysiological investigation of tremor

G Deuschl, JS Becktepe, M Dirkx… - Clinical …, 2022 - Elsevier
The various forms of tremor are now classified in two axes: clinical characteristics (axis 1)
and etiology (axis 2). Electrophysiology is an extension of the clinical exam …

Combined use of EMG and EEG techniques for neuromotor assessment in rehabilitative applications: A systematic review

C Brambilla, I Pirovano, RM Mira, G Rizzo, A Scano… - Sensors, 2021 - mdpi.com
Electroencephalography (EEG) and electromyography (EMG) are widespread and well-
known quantitative techniques used for gathering biological signals at cortical and muscular …

Neuromechanical biomarkers for robotic neurorehabilitation

F Garro, M Chiappalone, S Buccelli… - Frontiers in …, 2021 - frontiersin.org
One of the current challenges for translational rehabilitation research is to develop the
strategies to deliver accurate evaluation, prediction, patient selection, and decision-making …

A virtual reality muscle–computer interface for neurorehabilitation in chronic stroke: A pilot study

O Marin-Pardo, CM Laine, M Rennie, KL Ito, J Finley… - Sensors, 2020 - mdpi.com
Severe impairment of limb movement after stroke can be challenging to address in the
chronic stage of stroke (eg, greater than 6 months post stroke). Recent evidence suggests …

A sequential learning model with GNN for EEG-EMG-based stroke rehabilitation BCI

H Li, H Ji, J Yu, J Li, L Jin, L Liu, Z Bai… - Frontiers in Neuroscience, 2023 - frontiersin.org
Introduction Brain-computer interfaces (BCIs) have the potential in providing neurofeedback
for stroke patients to improve motor rehabilitation. However, current BCIs often only detect …

Corticomuscular integrated representation of voluntary motor effort in robotic control for wrist-hand rehabilitation after stroke

Z Guo, S Zhou, K Ji, Y Zhuang, J Song… - Journal of neural …, 2022 - iopscience.iop.org
Objective. The central-to-peripheral voluntary motor effort (VME) in the affected limb is a
dominant force for driving the functional neuroplasticity on motor restoration post-stroke …

Lower-limb motor assessment with corticomuscular coherence of multiple muscles during ankle dorsiflexion after stroke

R Xu, H Zhang, X Shi, J Liang, C Wan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Motor impairment after stroke is generally caused by damage to the neural networks that
control movement. Corticomuscular coherence (CMC) is a valid method to analyze the …

Coherence-based connectivity analysis of EEG and EMG signals during reach-to-grasp movement involving two weights

CD Guerrero-Mendez, AF Ruiz-Olaya - Brain-Computer Interfaces, 2022 - Taylor & Francis
Corticomuscular coherence allows studying the mechanism of the cerebral cortex's control
of muscle activity, which reveals the communication in corticospinal pathways between the …

Altered corticomuscular coherence (CMCoh) pattern in the upper limb during finger movements after stroke

Z Guo, Q Qian, K Wong, H Zhu, Y Huang, X Hu… - Frontiers in …, 2020 - frontiersin.org
Background: Proximal compensation to the distal movements is commonly observed in the
affected upper extremity (UE) of patients with chronic stroke. However, the cortical origin of …