EEG artifact removal—state-of-the-art and guidelines
JA Urigüen, B Garcia-Zapirain - Journal of neural engineering, 2015 - iopscience.iop.org
This paper presents an extensive review on the artifact removal algorithms used to remove
the main sources of interference encountered in the electroencephalogram (EEG) …
the main sources of interference encountered in the electroencephalogram (EEG) …
Connectivity analysis in EEG data: a tutorial review of the state of the art and emerging trends
Understanding how different areas of the human brain communicate with each other is a
crucial issue in neuroscience. The concepts of structural, functional and effective …
crucial issue in neuroscience. The concepts of structural, functional and effective …
Taxonomy on EEG artifacts removal methods, issues, and healthcare applications
Electroencephalogram (EEG) signals are progressively growing data widely known as
biomedical big data, which is applied in biomedical and healthcare research. The …
biomedical big data, which is applied in biomedical and healthcare research. The …
Automatic classification of artifactual ICA-components for artifact removal in EEG signals
Background Artifacts contained in EEG recordings hamper both, the visual interpretation by
experts as well as the algorithmic processing and analysis (eg for Brain-Computer Interfaces …
experts as well as the algorithmic processing and analysis (eg for Brain-Computer Interfaces …
Robust artifactual independent component classification for BCI practitioners
Objective. EEG artifacts of non-neural origin can be separated from neural signals by
independent component analysis (ICA). It is unclear (1) how robustly recently proposed …
independent component analysis (ICA). It is unclear (1) how robustly recently proposed …
Identification and removal of physiological artifacts from electroencephalogram signals: A review
Electroencephalogram (EEG), boasting the advantages of portability, low cost, and
hightemporal resolution, is a non-invasive brain-imaging modality that can be used to …
hightemporal resolution, is a non-invasive brain-imaging modality that can be used to …
A review on the computational methods for emotional state estimation from the human EEG
A growing number of affective computing researches recently developed a computer system
that can recognize an emotional state of the human user to establish affective human …
that can recognize an emotional state of the human user to establish affective human …
Short-term emotion assessment in a recall paradigm
The work presented in this paper aims at assessing human emotions using peripheral as
well as electroencephalographic (EEG) physiological signals on short-time periods. Three …
well as electroencephalographic (EEG) physiological signals on short-time periods. Three …
Automatic artifact rejection from multichannel scalp EEG by wavelet ICA
N Mammone, F La Foresta… - IEEE Sensors Journal, 2011 - ieeexplore.ieee.org
Electroencephalographic (EEG) recordings are often contaminated by artifacts, ie, signals
with noncerebral origin that might mimic some cognitive or pathologic activity, this way …
with noncerebral origin that might mimic some cognitive or pathologic activity, this way …
Complexity of EEG dynamics for early diagnosis of Alzheimer's disease using permutation entropy neuromarker
Background and objective Electroencephalogram (EEG) is one of the most demanded
screening tools that investigates the effects of Alzheimer's Disease (AD) on human brain …
screening tools that investigates the effects of Alzheimer's Disease (AD) on human brain …