Methods for artifact detection and removal from scalp EEG: A review
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 …
in wide range of applications. One of the commonly faced problems in EEG recordings is the …
Assessing and conceptualizing frontal EEG asymmetry: An updated primer on recording, processing, analyzing, and interpreting frontal alpha asymmetry
Frontal electroencephalographic (EEG) alpha asymmetry is widely researched in studies of
emotion, motivation, and psychopathology, yet it is a metric that has been quantified and …
emotion, motivation, and psychopathology, yet it is a metric that has been quantified and …
ERPLAB: an open-source toolbox for the analysis of event-related potentials
J Lopez-Calderon, SJ Luck - Frontiers in human neuroscience, 2014 - frontiersin.org
ERPLAB toolbox is a freely available, open-source toolbox for processing and analyzing
event-related potential (ERP) data in the MATLAB environment. ERPLAB is closely …
event-related potential (ERP) data in the MATLAB environment. ERPLAB is closely …
On the influence of high-pass filtering on ICA-based artifact reduction in EEG-ERP
Standard artifact removal methods for electroencephalographic (EEG) signals are either
based on Independent Component Analysis (ICA) or they regress out ocular activity …
based on Independent Component Analysis (ICA) or they regress out ocular activity …
Identifying key factors for improving ICA‐based decomposition of EEG data in mobile and stationary experiments
Recent developments in EEG hardware and analyses approaches allow for recordings in
both stationary and mobile settings. Irrespective of the experimental setting, EEG recordings …
both stationary and mobile settings. Irrespective of the experimental setting, EEG recordings …
Committee report: publication guidelines and recommendations for studies using electroencephalography and magnetoencephalography
Electromagnetic data collected using electroencephalography (EEG) and
magnetoencephalography (MEG) are of central importance for psychophysiological …
magnetoencephalography (MEG) are of central importance for psychophysiological …
[HTML][HTML] Analysing concurrent transcranial magnetic stimulation and electroencephalographic data: A review and introduction to the open-source TESA software
The concurrent use of transcranial magnetic stimulation with electroencephalography (TMS–
EEG) is growing in popularity as a method for assessing various cortical properties such as …
EEG) is growing in popularity as a method for assessing various cortical properties such as …
Mass univariate analysis of event‐related brain potentials/fields I: A critical tutorial review
Event‐related potentials (ERPs) and magnetic fields (ERFs) are typically analyzed via
ANOVAs on mean activity in a priori windows. Advances in computing power and statistics …
ANOVAs on mean activity in a priori windows. Advances in computing power and statistics …
ADJUST: An automatic EEG artifact detector based on the joint use of spatial and temporal features
A Mognon, J Jovicich, L Bruzzone… - Psychophysiology, 2011 - Wiley Online Library
A successful method for removing artifacts from electroencephalogram (EEG) recordings is
Independent Component Analysis (ICA), but its implementation remains largely user …
Independent Component Analysis (ICA), but its implementation remains largely user …
Applying dimension reduction to EEG data by Principal Component Analysis reduces the quality of its subsequent Independent Component decomposition
Abstract Independent Component Analysis (ICA) has proven to be an effective data driven
method for analyzing EEG data, separating signals from temporally and functionally …
method for analyzing EEG data, separating signals from temporally and functionally …