Electroencephalography (EEG) is the most popular brain activity recording technique used
in wide range of applications. One of the commonly faced problems in EEG recordings is the …

Electroencephalogram (EEG) being the measure to record the electrical activity of brain acts
as a key factor to many brain computer interface (BCI) applications. These recorded EEG …

Objective: Spectral power analysis plays a predominant role in electroencephalogram-
based emotional recognition. It can reflect activity differences among multiple brain regions …

Electroencephalography (EEG), as a non-invasive modality, enables the representation of
the underlying neuronal activities as electrical signals with high temporal resolution. In …

The dynamic uncertain relationship among each brain region is a necessary factor that limits
EEG-based emotion recognition. It is a thought-provoking problem to availably employ time …

Frontal alpha asymmetry has been proposed to underlie the balance between approach and
withdrawal motivation associated to each individual's affective style. Neurofeedback of EEG …

Emotion recognition using brain wave signals involves using high dimensional
electroencephalogram (EEG) data. In this paper, a window selection method based on …

Background The methods available for pre-processing EEG data are rapidly evolving as
researchers gain access to vast computational resources; however, the field currently lacks …

Multimodal emotion recognition is one of the challenging topics in the field of knowledge-
based systems and many methods have been studied successfully. Nevertheless …

Abstract Study Objectives (1) To critically test whether a previously reported increase in
frontolateral 40 Hz power in lucid REM sleep, used to justify the claim that lucid dreaming is …