Advances in P300 brain–computer interface spellers: toward paradigm design and performance evaluation
J Pan, XN Chen, N Ban, JS He, J Chen… - Frontiers in human …, 2022 - frontiersin.org
A brain-computer interface (BCI) is a non-muscular communication technology that provides
an information exchange channel for our brains and external devices. During the decades …
an information exchange channel for our brains and external devices. During the decades …
A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images
The Covid-19 pandemic is the defining global health crisis of our time. Chest X-Rays (CXR)
have been an important imaging modality for assisting in the diagnosis and management of …
have been an important imaging modality for assisting in the diagnosis and management of …
Channel selection from source localization: A review of four EEG-based brain–computer interfaces paradigms
Channel selection is a critical part of the classification procedure for multichannel
electroencephalogram (EEG)-based brain–computer interfaces (BCI). An optimized subset …
electroencephalogram (EEG)-based brain–computer interfaces (BCI). An optimized subset …
A novel explainable machine learning approach for EEG-based brain-computer interface systems
Electroencephalographic (EEG) recordings can be of great help in decoding the open/close
hand's motion preparation. To this end, cortical EEG source signals in the motor cortex …
hand's motion preparation. To this end, cortical EEG source signals in the motor cortex …
An automated brain tumor classification in MR images using an enhanced convolutional neural network
MRI is a non-invasive imaging tool, accurate classification of brain tumours from MRI images
is a highly specialized area of a medical study. Classification of brain tumours is a method …
is a highly specialized area of a medical study. Classification of brain tumours is a method …
A Systematic Review of Computational Intelligence Techniques for Channel Selection in P300-Based Brain Computer Interface Speller
V Bhandari, ND Londhe… - Artificial Intelligence and …, 2024 - ojs.bonviewpress.com
Electroencephalography (EEG)-based P300 speller aids in restoring the communication and
control capabilities in patients suffering from motor disabilities. However, the quality and …
control capabilities in patients suffering from motor disabilities. However, the quality and …
An efficient 3D column-only P300 speller paradigm utilizing few numbers of electrodes and flashings for practical BCI implementation
The event related P300 potentials, positive waveforms in electroencephalography (EEG)
signals, are often utilized in brain computer interfaces (BCI). Many studies have been carried …
signals, are often utilized in brain computer interfaces (BCI). Many studies have been carried …
Mixed reality-based brain computer interface system using an adaptive bandpass filter: Application to remote control of mobile manipulator
Brain-computer interface (BCI) systems based on mixed reality (MR) have promising
applications in assisting people with disabilities to control manipulators. Using MR glasses …
applications in assisting people with disabilities to control manipulators. Using MR glasses …
The role of eye movement signals in non-invasive brain-computer interface ty** system
X Liu, B Hu, Y Si, Q Wang - Medical & Biological Engineering & Computing, 2024 - Springer
Abstract Brain-Computer Interfaces (BCIs) have shown great potential in providing
communication and control for individuals with severe motor disabilities. However …
communication and control for individuals with severe motor disabilities. However …
Interpretation of a deep analysis of speech imagery features extracted by a capsule neural network
Speech imagery has been successfully employed in develo** Brain–Computer Interfaces
because it is a novel mental strategy that generates brain activity more intuitively than …
because it is a novel mental strategy that generates brain activity more intuitively than …