Ocular artifact elimination from electroencephalography signals: A systematic review

R Ranjan, BC Sahana, AK Bhandari - Biocybernetics and Biomedical …, 2021 - Elsevier
Electroencephalography (EEG) is the signal of intrigue that has immense application in the
clinical diagnosis of various neurological, psychiatric, psychological, psychophysiological …

[PDF][PDF] EEG artifacts detection and removal techniques for brain computer interface applications: a systematic review

CR Rashmi, CP Shantala - International Journal of Advanced …, 2022 - researchgate.net
Electroencephalogram (EEG) being the measure to record the electrical activity of brain acts
as a key factor to many brain computer interface (BCI) applications. These recorded EEG …

Implementation of a convolutional neural network for eye blink artifacts removal from the electroencephalography signal

M Jurczak, M Kołodziej, A Majkowski - Frontiers in neuroscience, 2022 - frontiersin.org
Electroencephalography (EEG) signals are disrupted by technical and physiological
artifacts. One of the most common artifacts is the natural activity that results from the …

Improved EOG artifact removal using wavelet enhanced independent component analysis

MF Issa, Z Juhasz - Brain sciences, 2019 - mdpi.com
Electroencephalography (EEG) signals are frequently contaminated with unwanted
electrooculographic (EOG) artifacts. Blinks and eye movements generate large amplitude …

Fatigue driving detection based on electrooculography: a review

Y Tian, J Cao - EURASIP Journal on Image and Video Processing, 2021 - Springer
To accurately identify fatigued driving, establishing a monitoring system is one of the
important guarantees of improving traffic safety and reducing traffic accidents. Among many …

Removal of EMG artifacts from multichannel EEG signals using combined singular spectrum analysis and canonical correlation analysis

Q Liu, A Liu, X Zhang, X Chen, R Qian… - Journal of healthcare …, 2019 - Wiley Online Library
Electroencephalography (EEG) signals collected from human scalps are often polluted by
diverse artifacts, for instance electromyogram (EMG), electrooculogram (EOG), and …

Remove artifacts from a single-channel EEG based on VMD and SOBI

C Liu, C Zhang - Sensors, 2022 - mdpi.com
With the development of portable EEG acquisition systems, the collected EEG has gradually
changed from being multi-channel to few-channel or single-channel, thus the removal of …

SSA with CWT and k-Means for Eye-Blink Artifact Removal from Single-Channel EEG Signals

AK Maddirala, KC Veluvolu - Sensors, 2022 - mdpi.com
Recently, the use of portable electroencephalogram (EEG) devices to record brain signals in
both health care monitoring and in other applications, such as fatigue detection in drivers …

Two-stage intelligent multi-type artifact removal for single-channel EEG settings: A GRU autoencoder based approach

W Zhang, W Yang, X Jiang, X Qin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Objective: The wearable and portable Electroencephalogram (EEG) sensing systems are
deeply interfered by unavoidable physiological artifacts due to the limited recording …

The improved ELM algorithms optimized by bionic WOA for EEG classification of brain computer interface

Z Lian, L Duan, Y Qiao, J Chen, J Miao, M Li - IEEE Access, 2021 - ieeexplore.ieee.org
The breakthrough of electroencephalogram (EEG) signal classification of brain computer
interface (BCI) will set off another technological revolution of human computer interaction …