Electroencephalogram (EEG) signals are progressively growing data widely known as
biomedical big data, which is applied in biomedical and healthcare research. The …

Electroencephalogram (EEG) is a technique for recording the asynchronous activation of
neuronal firing inside the brain with non-invasive scalp electrodes. Artifacts, such as eye …

Electroencephalography (EEG) signals are frequently contaminated with unwanted
electrooculographic (EOG) artifacts. Blinks and eye movements generate large amplitude …

Electroencephalogram (EEG) is a highly sensitive instrument and is frequently corrupted
with eye blinks. Methods based on adaptive noise cancellation (ANC) and discrete wavelet …

Objective. Artifact reduction in electroencephalogram (EEG) signals is usually necessary to
carry out data analysis appropriately. Despite the large amount of denoising techniques …

The recent embedding of electroencephalographic (EEG) electrodes in wearable devices
raises the problem of the quality of the data recorded in such uncontrolled environments …

This paper addresses two issues toward practical use of wearable electroencephalogram
(EEG) measurement devices. Ocular (eye movement and blink) artifacts often contaminate …

Technologies using electroencephalographic (EEG) signals have been penetrated into
public by the development of EEG systems. During EEG system operation, recordings ought …

Introduction: Children affected by autism spectrum disorder (ASD) often have impairment of
social interaction and demonstrate difficulty with emotional communication, display of …

As a diagnostic monitoring approach, electroencephalogram (EEG) signals can be decoded
by signal processing methodologies for various health monitoring purposes. However, EEG …