Poststroke motor, cognitive and speech rehabilitation with brain–computer interface: a perspective review

R Mane, Z Wu, D Wang - Stroke and vascular neurology, 2022 - svn.bmj.com
Brain–computer interface (BCI) technology translates brain activity into meaningful
commands to establish a direct connection between the brain and the external world …

Identifying Thematics in a Brain‐Computer Interface Research

H Alharbi - Computational Intelligence and Neuroscience, 2023 - Wiley Online Library
This umbrella review is motivated to understand the shift in research themes on brain‐
computer interfacing (BCI) and it determined that a shift away from themes that focus on …

Toward an adapted neurofeedback for post-stroke motor rehabilitation: state of the art and perspectives

S Le Franc, G Herrera Altamira, M Guillen… - Frontiers in Human …, 2022 - frontiersin.org
Stroke is a severe health issue, and motor recovery after stroke remains an important
challenge in the rehabilitation field. Neurofeedback (NFB), as part of a brain–computer …

Brain-machine interface-based training for improving upper extremity function after stroke: A meta-analysis of randomized controlled trials

Y **e, Y Yang, H Jiang, XY Duan, L Gu… - Frontiers in …, 2022 - frontiersin.org
Background Upper extremity dysfunction after stroke is an urgent clinical problem that
greatly affects patients' daily life and reduces their quality of life. As an emerging …

Brain–machine Interface (BMI)-based neurorehabilitation for post-stroke upper limb paralysis

M Liu, J Ushiba - The Keio journal of medicine, 2022 - jstage.jst.go.jp
Because recovery from upper limb paralysis after stroke is challenging, compensatory
approaches have been the main focus of upper limb rehabilitation. However, based on …

Exploring the ability of stroke survivors in using the contralesional hemisphere to control a brain–computer interface

S Mansour, J Giles, KK Ang, KPS Nair, KS Phua… - Scientific Reports, 2022 - nature.com
Brain-computer interfaces (BCIs) have recently been shown to be clinically effective as a
novel method of stroke rehabilitation. In many BCI-based studies, the activation of the …

A multiple session dataset of NIRS recordings from stroke patients controlling brain–computer interface

MR Isaev, OA Mokienko, RK Lyukmanov… - Scientific Data, 2024 - nature.com
This paper presents an open dataset of over 50 hours of near infrared spectroscopy (NIRS)
recordings. Fifteen stroke patients completed a total of 237 motor imagery brain–computer …

[HTML][HTML] Cognitive task domain influences cognitive-motor interference during large-magnitude treadmill stance perturbations

J Pitts, L Kannan, T Bhatt - Sensors, 2023 - mdpi.com
Reactive balance is postulated to be attentionally demanding, although it has been
underexamined in dual-tasking (DT) conditions. Further, DT studies have mainly included …

[HTML][HTML] Prediction of Gait Kinematics and Kinetics: A Systematic Review of EMG and EEG Signal Use and Their Contribution to Prediction Accuracy

N Amrani El Yaakoubi, C McDonald, O Lennon - Bioengineering, 2023 - mdpi.com
Human-machine interfaces hold promise in enhancing rehabilitation by predicting and
responding to subjects' movement intent. In gait rehabilitation, neural network architectures …

Exploring Aesthetic Perception in Impaired Aging: A Multimodal Brain—Computer Interface Study

L Clemente, M La Rocca, G Paparella, M Delussi… - Sensors, 2024 - mdpi.com
In the field of neuroscience, brain–computer interfaces (BCIs) are used to connect the
human brain with external devices, providing insights into the neural mechanisms …