This paper presents an extensive review on the artifact removal algorithms used to remove
the main sources of interference encountered in the electroencephalogram (EEG) …

Abstract The Human Connectome Project consortium led by Washington University,
University of Minnesota, and Oxford University is undertaking a systematic effort to map …

Imaging human brain function with techniques such as magnetoencephalography typically
requires a subject to perform tasks while their head remains still within a restrictive scanner …

We describe a multichannel magnetoencephalography (MEG) system that uses optically
pumped magnetometers (OPMs) to sense the magnetic fields of the human brain. The …

Power line artifacts are the bane of animal and human electrophysiology. A number of
methods are available to help attenuate or eliminate them, but each has its own set of …

A non-invasive functional-brain-imaging system based on optically-pumped-magnetometers
(OPM) is presented. The OPM-based magnetoencephalography (MEG) system features 20 …

Detecting artifacts produced in electroencephalographic (EEG) data by muscle activity, eye
blinks and electrical noise, etc., is an important problem in EEG signal processing research …

This paper proposes an automatic method for artefact removal and noise elimination from
scalp electroencephalogram recordings (EEG). The method is based on blind source …

There are so far two main methodological approaches for rejecting ocular artifacts from
electroencephalographic (EEG) and magnetoencephalographic (MEG) signals: regression …

In this study we illustrate a methodology able to follow and study concurrent and
simultaneous brain processes during cooperation between individuals, with non invasive …