Electroencephalogram (EEG) plays an important role in identifying brain activity and
behavior. However, the recorded electrical activity always be contaminated with artifacts and …

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 …

Stress is categorized as a condition of mental strain or pressure approaches because of
upsetting or requesting conditions. There are various sources of stress initiation …

Electroencephalogram (EEG) is the record of cerebral activity, the electric potential of
cerebral activity is of low amplitude, and less frequency ranges between 4 to 60 Hz, which …

Investor sentiment is a hot topic in behavioral finance. How to measure investor sentiment?
Is the influence of investor sentiment on the stock market symmetrical? That is all we need to …

Biosignals have quite low signal-to-noise ratio and are often corrupted by different types of
artifacts and noises originated from both external and internal sources. The presence of …

The development of robust circuit structures remains a pivotal milestone in electronic device
research. This article proposes an integrated hardware–software system designed for the …

Preprocessing of the EEG signal, which is virtually a set of signal processing steps
preceding main EEG data analyses, is essential to obtain only brain activity from the noisy …

This study proposes a novel combination of independent component analysis (ICA) in
conjunction with support vector machine (SVM) and denoising autoencoder (DA), for the first …

Electroencephalography (EEG) signals are always accompanied by endogenous and
exogenous artifacts. Research carried out in the past few years focused on EEG artifact …