Motor imagery (MI) EEG signals are considered a promising paradigm for BCI systems that
enable humans to communicate with the outside world through the brain and have a wide …

Photosensitivity is a neurological disorder in which a person's brain produces epileptic
discharges, known as Photoparoxysmal Responses (PPRs), when it receives certain visual …

Brain-computer interfaces (BCI) can help people with motor disorders to regain their ability
to communicate and interact with the surrounding environment. The majority of studies in …

EEG-based emotion recognition has numerous real-world applications in fields such as
affective computing, human-computer interaction, and mental health monitoring. This offers …

t-distributed stochastic neighbor embedding (t-SNE) is a method for reducing high-
dimensional data to a low-dimensional representation, and is mostly used for visualizing …

Motor imagery (MI) is arguably one of the most common brain–computer interface (BCI)
paradigms. The decoding process, in many cases, involves the use of small amounts of data …

Motor Imagery (MI) refers to imagining the mental representation of motor movements
without overt motor activity, enhancing physical action execution and neural plasticity with …

Background Although electronic nose (eNose) has been intensively investigated for
diagnosing lung cancer, cross-site validation remains a major obstacle to be overcome and …

Motor imagery electroencephalograph (MI-EEG) decoding plays a crucial role in developing
motor imagery brain-computer interfaces (MI-BCIs). However, MI-EEG signals exhibit …

Motor imagery (MI) electroencephalogram (EEG) signal is recognized as a promising
paradigm for brain-computer interface (BCI) systems and has been extensively employed in …