Electroencephalography signal processing: A comprehensive review and analysis of methods and techniques

A Chaddad, Y Wu, R Kateb, A Bouridane - Sensors, 2023 - mdpi.com
The electroencephalography (EEG) signal is a noninvasive and complex signal that has
numerous applications in biomedical fields, including sleep and the brain–computer …

Identification and removal of physiological artifacts from electroencephalogram signals: A review

MMN Mannan, MA Kamran, MY Jeong - Ieee Access, 2018 - ieeexplore.ieee.org
Electroencephalogram (EEG), boasting the advantages of portability, low cost, and
hightemporal resolution, is a non-invasive brain-imaging modality that can be used to …

EEG feature fusion for motor imagery: A new robust framework towards stroke patients rehabilitation

NK Al-Qazzaz, ZAA Alyasseri, KH Abdulkareem… - Computers in biology …, 2021 - Elsevier
Stroke is the second foremost cause of death worldwide and is one of the most common
causes of disability. Several approaches have been proposed to manage stroke patient …

Restoration of motion-corrupted EEG signals using attention-guided operational CycleGAN

S Mahmud, MEH Chowdhury, S Kiranyaz… - … Applications of Artificial …, 2024 - Elsevier
Electroencephalogram (EEG) signals suffer substantially from motion artifacts even in
ambulatory settings. Signal processing techniques for removing motion artifacts from EEG …

Automated classification and removal of EEG artifacts with SVM and wavelet-ICA

CY Sai, N Mokhtar, H Arof, P Cumming… - IEEE journal of …, 2017 - ieeexplore.ieee.org
Brain electrical activity recordings by electroencephalography (EEG) are often contaminated
with signal artifacts. Procedures for automated removal of EEG artifacts are frequently …

Driver fatigue detection based on prefrontal EEG using multi-entropy measures and hybrid model

J Min, C Xiong, Y Zhang, M Cai - Biomedical Signal Processing and Control, 2021 - Elsevier
The development of a real-time monitoring and warning platform for driver fatigue detection
is of great importance to avoid traffic accidents and fatalities. Due to the explosive growth of …

The feature, performance, and prospect of advanced electrodes for electroencephalogram

Q Liu, L Yang, Z Zhang, H Yang, Y Zhang, J Wu - Biosensors, 2023 - mdpi.com
Recently, advanced electrodes have been developed, such as semi-dry, dry contact, dry non-
contact, and microneedle array electrodes. They can overcome the issues of wet electrodes …

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 …

VME-DWT: An efficient algorithm for detection and elimination of eye blink from short segments of single EEG channel

M Shahbakhti, M Beiramvand, M Nazari… - … on Neural Systems …, 2021 - ieeexplore.ieee.org
Objective: Recent advances in development of low-cost single-channel
electroencephalography (EEG) headbands have opened new possibilities for applications …

Surrogate-based artifact removal from single-channel EEG

M Chavez, F Grosselin, A Bussalb… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Objective: the recent emergence and success of electroencephalography (EEG) in low-cost
portable devices, has opened the door to a new generation of applications processing a …