BCI for stroke rehabilitation: motor and beyond
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 …
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
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 …
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
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 …
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 …
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
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 …
provides control over computer applications directly from brain activity. However, it has …
Vividness of visual imagery and personality impact motor-imagery brain computer interfaces
Brain-computer interfaces (BCIs) are communication bridges between a human brain and
external world, enabling humans to interact with their environment without muscle …
external world, enabling humans to interact with their environment without muscle …
Functional connectivity analysis in motor-imagery brain computer interfaces
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 …
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 …
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 …
enables users to communicate with external environments through their minds. However …
Fractal Dimension as a discriminative feature for high accuracy classification in motor imagery EEG-based brain-computer interface
Abstract Background and Objective The brain-computer interface (BCI) technology acquires
human brain electrical signals, which can be effectively and successfully used to control …
human brain electrical signals, which can be effectively and successfully used to control …