The brain-computer interface (BCI) has been investigated as a form of communication tool
between the brain and external devices. BCIs have been extended beyond communication …

As an essential element for the diagnosis and rehabilitation of psychiatric disorders, the
electroencephalogram (EEG) based emotion recognition has achieved significant progress …

Brain-computer interface (BCI) is oriented toward intuitive systems that users can easily
operate. Imagined speech and visual imagery are emerging paradigms that can directly …

Decoding speech and speech-related processes directly from the human brain has
intensified in studies over recent years as such a decoder has the potential to positively …

Background and objective The use of adaptive signal decomposition methods and machine
learning (ML) algorithms have gained interest in biomedical applications. Brain-computer …

Transformers are groundbreaking architectures that have changed a flow of deep learning,
and many high-performance models are developing based on transformer architectures …

The electroencephalogram (EEG)-based brain–computer interface (BCI) has potential
applications in neuroscience and rehabilitation. It benefits a person with neurological …

The flipped learning (FL) is found to be an effective teaching methodology which is
accomplished in two stages. In the first stage, students take instructions and learn from pre …

Imagined speech is a highly promising paradigm due to its intuitive application and
multiclass scalability in the field of brain-computer interfaces. However, optimal feature …

Brain–computer interface (BCI) can obtain text information by decoding language induced
electroencephalogram (EEG) signals, so as to restore communication ability for patients with …