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) …
Wearable sensing technology applications in construction safety and health
The advent of wearable sensing technologies has produced unprecedented opportunities
for the near real-time collection and analysis of workers' safety and health data. To …
for the near real-time collection and analysis of workers' safety and health data. To …
Smart wearables for the detection of cardiovascular diseases: a systematic literature review
Background: The advancement of information and communication technologies and the
growing power of artificial intelligence are successfully transforming a number of concepts …
growing power of artificial intelligence are successfully transforming a number of concepts …
Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis
Detecting artifacts produced in EEG data by muscle activity, eye blinks and electrical noise is
a common and important problem in EEG research. It is now widely accepted that …
a common and important problem in EEG research. It is now widely accepted that …
Combining EEG and eye tracking: identification, characterization, and correction of eye movement artifacts in electroencephalographic data
Eye movements introduce large artifacts to electroencephalographic recordings (EEG) and
thus render data analysis difficult or even impossible. Trials contaminated by eye movement …
thus render data analysis difficult or even impossible. Trials contaminated by eye movement …
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 …
Evaluation of physiological metrics as real-time measurement of physical fatigue in construction workers: state-of-the-art review
Physical fatigue is a major health and safety–related problem among construction workers.
Many previous studies relied on interviews and/or questionnaire to assess physical fatigue …
Many previous studies relied on interviews and/or questionnaire to assess physical fatigue …
EMG and EOG artifacts in brain computer interface systems: A survey
It is widely accepted in the brain computer interface (BCI) research community that
neurological phenomena are the only source of control in any BCI system. Artifacts are …
neurological phenomena are the only source of control in any BCI system. Artifacts are …
Recovering EEG brain signals: Artifact suppression with wavelet enhanced independent component analysis
NP Castellanos, VA Makarov - Journal of neuroscience methods, 2006 - Elsevier
Independent component analysis (ICA) has been proven useful for suppression of artifacts
in EEG recordings. It involves separation of measured signals into statistically independent …
in EEG recordings. It involves separation of measured signals into statistically independent …
Canonical correlation analysis applied to remove muscle artifacts from the electroencephalogram
W De Clercq, A Vergult, B Vanrumste… - IEEE transactions on …, 2006 - ieeexplore.ieee.org
The electroencephalogram (EEG) is often contaminated by muscle artifacts. In this paper, a
new method for muscle artifact removal in EEG is presented, based on canonical correlation …
new method for muscle artifact removal in EEG is presented, based on canonical correlation …