Mental-tasks based brain–computer interfaces (MT-BCIs) allow their users to interact with an
external device solely by using brain signals produced through mental tasks. While MT-BCIs …

Motor brain-computer interface (BCI) refers to the BCI that decodes voluntary motion
intentions from brain signals directly and outputs corresponding control commands without …

This paper presents a novel method for feature extraction from electroencephalogram (EEG)
signals using empirical mode decomposition (EMD). Its use is motivated by the fact that the …

Brain-computer interfaces (BCIs) have been explored in the field of neuroengineering to
investigate how the brain can use these systems to control external devices. We review the …

Depression is a severe psychiatric illness that causes emotional and cognitive impairment
and has a considerable impact on patients' thoughts, behaviors, feelings and well-being …

The hybrid brain-computer interface (BCI)'s multimodal technology enables precision brain-
signal classification that can be used in the formulation of control commands. In the present …

The start of the cue is often used to initiate the feature window used to control motor imagery
(MI)-based brain-computer interface (BCI) systems. However, the time latency during an MI …

In recent years, the usage of portable electroencephalogram (EEG) devices are becoming
popular for both clinical and non-clinical applications. In order to provide more comfort to the …

The classification of motor imagery-electroencephalogram (MI-EEG) based brain-computer
interface (BCI) can be used to decode neurological activities, which has been widely applied …

Featured Application The proposed method in this study can be used in EEG emotion
recognition and achieve better results. Abstract In recent years, deep learning has been …