3 Selected methods of quantitative analysis in electroencephalography

Abstract

Selected methods of quantitative analysis in electroencephalography 3.1 Introduction Electroencephalography (EEG) has been known for about 100 years and covers the techniques used for detecting and recording the electrical activity of the brain cortex. It is hard to state who invented the EEG; however, most often three researchers are mentioned in the literature:

Hybrid implementation of the fastICA algorithm for high-density EEG using the capabilities of the Intel architecture and CUDA programming

“…Unlike the other brain imaging techniques such as functional magnetic resonance imaging (fMRI) or positron emission tomography (PET), which have a relatively low spatial resolution, high-density EEG systems can provide an accurate view of brain activity, with an electrode resolution of up to several hundred sensors. These systems have a wide range of applications in such fields as neuroscience, psychology, and medicine [22,[24][25][26][27]. However, thorough cleaning of the signal of artifacts (parts of the signal that do not originate from the brain) is crucial for its further analysis, however, this process can be timeconsuming [1,4,13].…”

Practical Recommendations for Conducting an EEG Study in a Neurophysiological Laboratory

“…At present, the creation of systems for accurate localization of the position of EEG electrodes in space [4][5][6], as well as the development of the latest EEG diagnostic systems with a large number of active electrodes presented in the developments (3), has revived interest in electroencephalography as an accessible a method that makes it possible to study the processes of brain activity that have fast dynamics, which are inaccessible to systems using technologies for recording the dynamics of changes in cerebral microcirculation (MRI, near-infrared spectroscopy), and the development of software products for combining the results of a spatial representation of the EEG potential distribution on the scalp with radio imaging data methods [7] made it possible to obtain information on functional changes, comparable in accuracy to the methods of X-ray neuroimaging.…”