Training therapy with BCI-based neurofeedback systems for motor rehabilitation

J Luo, Q Cheng, H Wang, Y Wang… - Recent Advances in AI …, 2022 - taylorfrancis.com
Neurofeedback training consisting of movement control and sensory feedback based on
brain-computer interface (BCI) is a promising rehabilitation therapy developed for post …

Hybrid brain-computer interaction for functional motor recovery after stroke

D Mattia, F Pichiorri, P Aricò, F Aloise… - Converging Clinical and …, 2013 - Springer
BCI technology can encourage motor training and practice by offering an on-line feedback
about brain signals associated with mental practice, motor intention/attempt and other neural …

Exploration of the non-invasive brain-computer interface and neurorehabilitation

S Chen, L Yao, L Cao, M Caimmi, J Jia - Frontiers in Neuroscience, 2024 - frontiersin.org
The non-invasive brain–computer interface (BCI) is being increasingly explored in many
fields all over the world. With the development of engineering technology and rehabilitation …

Favoring the cognitive-motor process in the closed-loop of BCI mediated post stroke motor function recovery: challenges and approaches

J Mang, Z Xu, YB Qi, T Zhang - Frontiers in Neurorobotics, 2023 - frontiersin.org
The brain-computer interface (BCI)-mediated rehabilitation is emerging as a solution to
restore motor skills in paretic patients after stroke. In the human brain, cortical motor neurons …

Brain computer interface for hand motor function restoration and rehabilitation

D Mattia, F Pichiorri, M Molinari, R Rupp - … the Gap from Research to Real …, 2013 - Springer
Long-term disability is often associated with persistent impairment of an upper limb. In this
respect, neurological rehabilitation aims to lessen motor impairment and related disability …

Tailoring brain–machine interface rehabilitation training based on neural reorganization: towards personalized treatment for stroke patients

T Jia, C Li, L Mo, C Qian, W Li, Q Xu, Y Pan… - Cerebral …, 2023 - academic.oup.com
Abstract Electroencephalogram (EEG)-based brain–machine interface (BMI) has the
potential to enhance rehabilitation training efficiency, but it still remains elusive regarding …

Noninvasive brain-computer interface: decoding arm movement kinematics and motor control

N Robinson, AP Vinod - IEEE Systems, Man, and Cybernetics …, 2016 - ieeexplore.ieee.org
Over the last few decades, the advances in disciplines such as neuroscience and
engineering have introduced the brain-computer interface (BCI) as a promising tool for …

Hand motor rehabilitation of patients with stroke using physiologically congruent neurofeedback

Y Ono, K Wada, N Seki, M Ito… - … on Systems, Man …, 2018 - ieeexplore.ieee.org
Neurorehabilitation of hand motor function in stroke patients is one of the most promising
applications of the brain-machine interface (BMI). We developed Digital Mirror Box (DMB), a …

[HTML][HTML] A Comprehensive Review on Brain–Computer Interface (BCI)-Based Machine and Deep Learning Algorithms for Stroke Rehabilitation

WH Elashmawi, A Ayman, M Antoun, H Mohamed… - Applied Sciences, 2024 - mdpi.com
This literature review explores the pivotal role of brain–computer interface (BCI) technology,
coupled with electroencephalogram (EEG) technology, in advancing rehabilitation for …

Continuous versus discrete robotic feedback for brain-computer interfaces aimed for neurorehabilitation

RI Carino-Escobar, ME Rodríguez-García… - Frontiers in …, 2023 - frontiersin.org
Introduction Brain-Computer Interfaces (BCI) can allow control of external devices using
motor imagery (MI) decoded from electroencephalography (EEG). Although BCI have a wide …