Removal of artifacts from EEG signals: a review

X Jiang, GB Bian, Z Tian - Sensors, 2019 - mdpi.com
Electroencephalogram (EEG) plays an important role in identifying brain activity and
behavior. However, the recorded electrical activity always be contaminated with artifacts and …

Brain–computer interface games based on consumer-grade EEG Devices: A systematic literature review

GAM Vasiljevic, LC De Miranda - International Journal of Human …, 2020 - Taylor & Francis
ABSTRACT Brain–Computer Interfaces (BCIs) are specialized systems that allow users to
control computer applications using their brain waves. With the advent of consumer-grade …

Complexity of EEG dynamics for early diagnosis of Alzheimer's disease using permutation entropy neuromarker

M Şeker, Y Özbek, G Yener, MS Özerdem - Computer Methods and …, 2021 - Elsevier
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 …

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 …

A survey and tutorial of EEG-based brain monitoring for driver state analysis

C Zhang, A Eskandarian - arxiv preprint arxiv:2008.11226, 2020 - arxiv.org
Drivers cognitive and physiological states affect their ability to control their vehicles. Thus,
these driver states are important to the safety of automobiles. The design of advanced driver …

Lag synchronization of coupled time-delayed FitzHugh–Nagumo neural networks via feedback control

MM Ibrahim, MA Kamran, MMN Mannan, IH Jung… - Scientific reports, 2021 - nature.com
Synchronization plays a significant role in information transfer and decision-making by
neurons and brain neural networks. The development of control strategies for synchronizing …

Wavelet based filters for artifact elimination in electroencephalography signal: A review

SNSS Daud, R Sudirman - Annals of Biomedical Engineering, 2022 - Springer
Electroencephalography (EEG) is a diagnostic test that records and measures the electrical
activity of the human brain. Research investigating human behaviors and conditions using …

Drowsiness, fatigue and poor sleep's causes and detection: a comprehensive study

MA Kamran, MMN Mannan, MY Jeong - Ieee Access, 2019 - ieeexplore.ieee.org
Drowsiness/sleepiness is a serious issue that needs to be addressed for improvement in the
safety of road driving. Past statistical data on road accidents has shown enormous increases …

An improved algorithm for efficient ocular artifact suppression from frontal EEG electrodes using VMD

C Dora, PK Biswal - Biocybernetics and Biomedical Engineering, 2020 - Elsevier
The Electroencephalogram (EEG) recordings from the frontal lobe of the human brain help
in analyzing several important brain functions like motor functions, problem-solving skills …

Single trial detection of error-related potentials in brain–machine interfaces: a survey and comparison of methods

M Yasemin, A Cruz, UJ Nunes… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. Error-related potential (ErrP) is a potential elicited in the brain when humans
perceive an error. ErrPs have been researched in a variety of contexts, such as to increase …