BCI for stroke rehabilitation: motor and beyond

R Mane, T Chouhan, C Guan - Journal of neural engineering, 2020 - iopscience.iop.org
Stroke is one of the leading causes of long-term disability among adults and contributes to
major socio-economic burden globally. Stroke frequently results in multifaceted impairments …

A review on Virtual Reality and Augmented Reality use-cases of Brain Computer Interface based applications for smart cities

V Kohli, U Tripathi, V Chamola, BK Rout… - Microprocessors and …, 2022 - Elsevier
Abstract Brain Computer Interfaces (BCIs) and Extended Reality (XR) have seen significant
advances as independent disciplines over the past 50 years. XR has been developed as an …

Classification of motor imagery EEG using deep learning increases performance in inefficient BCI users

N Tibrewal, N Leeuwis, M Alimardani - Plos one, 2022 - journals.plos.org
Motor Imagery Brain-Computer Interfaces (MI-BCIs) are AI-driven systems that capture brain
activity patterns associated with mental imagination of movement and convert them into …

A BCI-based vibrotactile neurofeedback training improves motor cortical excitability during motor imagery

NA Grigorev, AO Savosenkov… - … on Neural Systems …, 2021 - ieeexplore.ieee.org
In this study, we address the issue of whether vibrotactile feedback can enhance the motor
cortex excitability translated into the plastic changes in local cortical areas during motor …

Improving motor imagery-based brain-computer interface performance based on sensory stimulation training: an approach focused on poorly performing users

S Park, J Ha, DH Kim, L Kim - Frontiers in Neuroscience, 2021 - frontiersin.org
The motor imagery (MI)-based brain-computer interface (BCI) is an intuitive interface that
provides control over computer applications directly from brain activity. However, it has …

Vividness of visual imagery and personality impact motor-imagery brain computer interfaces

N Leeuwis, A Paas, M Alimardani - Frontiers in Human Neuroscience, 2021 - frontiersin.org
Brain-computer interfaces (BCIs) are communication bridges between a human brain and
external world, enabling humans to interact with their environment without muscle …

Functional connectivity analysis in motor-imagery brain computer interfaces

N Leeuwis, S Yoon, M Alimardani - Frontiers in Human Neuroscience, 2021 - frontiersin.org
Motor Imagery BCI systems have a high rate of users that are not capable of modulating their
brain activity accurately enough to communicate with the system. Several studies have …

Classification of motor-imagery tasks using a large EEG dataset by fusing classifiers learning on wavelet-scattering features

TD Pham - IEEE Transactions on Neural Systems and …, 2023 - ieeexplore.ieee.org
Brain-computer or brain-machine interface technology allows humans to control machines
using their thoughts via brain signals. In particular, these interfaces can assist people with …

Continual learning of a transformer-based deep learning classifier using an initial model from action observation EEG data to online motor imagery classification

PL Lee, SH Chen, TC Chang, WK Lee, HT Hsu… - Bioengineering, 2023 - mdpi.com
The motor imagery (MI)-based brain computer interface (BCI) is an intuitive interface that
enables users to communicate with external environments through their minds. However …

Visual‐Electrotactile Stimulation Feedback to Improve Immersive Brain‐Computer Interface Based on Hand Motor Imagery

D Achanccaray, SI Izumi… - Computational …, 2021 - Wiley Online Library
In the aging society, the number of people suffering from vascular disorders is rapidly
increasing and has become a social problem. The death rate due to stroke, which is the …