It is widely accepted in the brain computer interface (BCI) research community that
neurological phenomena are the only source of control in any BCI system. Artifacts are …

Background The study investigated the residual impact of eyeblinks on the
electroencephalogram (EEG) after application of different correction procedures, namely a …

Motivation: The success or failure of an epilepsy surgery depends greatly on the localization
of epileptic focus (origin of a seizure). We address the problem of identification of a seizure …

We investigated the interplay between arousal and valence in the early processing of
affective words. Event-related potentials (ERPs) were recorded while participants read …

Muscle artifacts are typically associated with sleep arousals and awakenings in normal and
pathological sleep, contaminating EEG recordings and distorting quantitative EEG results …

Characterizing dementia is a global challenge in supporting personalized health care. The
electroencephalogram (EEG) is a promising tool to support the diagnosis and evaluation of …

Analysis of neural data with multiple modes and high density has recently become a trend
with the advances in neuroscience research and practices. There exists a pressing need for …

In magnetoencephalography (MEG) and electroencephalography (EEG), independent
component analysis is widely applied to separate brain signals from artifact components. A …

In this study, we proposed and evaluated the use of Independent Component Analysis (ICA)
combining the EEG dipole model to automatically remove eye movement artifacts from the …

In this work, we present a method to extract high-amplitude artefacts from single channel
electroencephalogram (EEG) signals. The method is called local singular spectrum analysis …