The early detection and classification of dementia are important clinical support tasks for
medical practitioners in customizing patient treatment programs to better manage the …

As it was mentioned in the previous part of this work (Part I)—the advanced signal
processing methods are one of the quickest and the most dynamically develo** scientific …

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 …

Electroencephalogram (EEG) is susceptible to various nonneural physiological artifacts.
Automatic artifact removal from EEG data remains a key challenge for extracting relevant …

Independent component analysis (ICA)-based muscle artefact correction has become a
popular tool within electroencephalographic (EEG) research. As a comment on the article by …

Electroencephalogram (EEG) records deliver the information about anomaly and/or results
to some impetus in the human brain. However, these signals get normally mixed with other …

This paper presents a novel technique for removing the artifacts from the
ElectroEncephaloGram (EEG) signals. EEG signals are influenced by different …

Interests on the human body have never decreased and research on it has never stopped
since hundreds years ago. A study of EEG for analysis of composition of the brain and …

Electroencephalography (EEG) signal artefacts cause some problems in processing and
analysis of EEG signals. There are several options in the literature to identify artefacts in …

The most prominent type of artifact contaminating electroencephalogram (EEG) signals are
the eye blink (EB) artifacts, which could potentially lead to misinterpretation of the EEG …