In this paper we proposed a technique to remove eye blink artifact from electroencephalogram (EEG) using lifting wavelet transform (LWT). The LWT has been successfully used in eye blink artifact suppression form the recorded electroencephalography (EEG) signals using a data-adaptive subband filtering approach. The LWT is applied to decompose EEG signal into a finite set of subbands. The energy ...

This paper investigates mental workload assessment using statistical features derived from electroencephalography (EEG) signals. Mean, root mean squared, and correlation-based features are extracted from data including EEG signal recordings of five participants performing a reading task with three difficulty levels of low, medium, and high and a baseline condition. Results reveal that for the g...

Electroencephalography (EEG), the recording of electrical signals from the brain, provides a noninvasive measure of brain function as it is happening. Research using EEG, as well as event-related potentials (ERPs) and event-related oscillations (EROs), which measure brain activity in response to a specific stimulus, have shown that the brain activity of alcoholics and nonalcoholics differs in s...

The detection of epileptic seizures by electroencephalography (EEG) signals has become a standard method for the diagnosis epilepsy. Accurate and automatic is needed since manual identification specialist neurologists time consuming labor intensive process, which also leads to various errors. For this purpose, frequency-based features were extracted from EEG signal classifiers based on ensemble...

Although electroencephalography (EEG) is widely used as a non-invasive technique for recording neural activities of the brain, our understanding of the neurogenesis of EEG is still very limited. Local field potentials (LFPs) recorded via a multi-laminar microelectrode can provide a more detailed account of simultaneous neural activity across different cortical layers in the neocortex, but the t...

Electroencephalography (EEG) data contains recordings of brain signal activity divided into several channels with different impulse responses that can be used to detect human emotions. In classifying emotions, EEG needs parsed or processed values ​​that help recognize Research related electroencephalography has been carried out previously and experienced success using the Fuzzy C-Means, Multipl...

Games User Research (GUR) can provide meaningful insights into the study of games. As a part of GUR, we focus on the area of cognitive psychology and discuss electroencephalography (EEG) as an evaluation technique for games. We want to introduce game researchers to EEG when studying the cognitive side of player experience and discuss how it can benefit game studies. In this paper, we review EEG...

Cardiac arrhythmias occurring in association with epileptic seizures are a potential source of diagnostic confusion and a possible cause of sudden unexpected death in epilepsy. A case is described in which simultaneous ambulatory electroencephalography and electrocardiography revealed periods of asystole coinciding with epileptic seizures. The aystole appeared to precede obvious changes in the ...

Although electroencephalography (EEG) is not typically used for verifying the sense of balance, it can be used for analysing cortical signals responsible for this phenomenon. Simple balance tasks can be proposed as a good indicator of whether the sense of balance is acting more or less actively. This article presents preliminary results for the potential of using EEG to balance sensing. The res...