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 …

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 …

Unsupervised eye blink artifact denoising of EEG data with modified multiscale sample entropy, kurtosis, and wavelet-ICA

R Mahajan, BI Morshed - IEEE journal of Biomedical and …, 2014 - ieeexplore.ieee.org
Brain activities commonly recorded using the electroencephalogram (EEG) are
contaminated with ocular artifacts. These activities can be suppressed using a robust …

A novel adaptive artifacts wavelet Denoising for EEG artifacts removal using deep learning with Meta-heuristic approach

A Narmada, MK Shukla - Multimedia Tools and Applications, 2023 - Springer
Electroencephalogram (EEG) is said to be a common tool to control neurological disorders,
performed medical diagnoses, and cognitive research. But, EEG is generally polluted …

Automatic artifacts and arousals detection in whole-night sleep EEG recordings

D Coppieters't Wallant, V Muto, G Gaggioni… - Journal of neuroscience …, 2016 - Elsevier
Background In sleep electroencephalographic (EEG) signals, artifacts and arousals marking
are usually part of the processing. This visual inspection by a human expert has two main …

Autonomous OA removal in real-time from single channel EEG data on a wearable device using a hybrid algebraic-wavelet algorithm

CA Majmudar, BI Morshed - ACM Transactions on Embedded …, 2016 - dl.acm.org
Electroencephalography (EEG) is a non-invasive technique to record brain activities in
natural settings. Ocular Artifacts (OA) usually contaminates EEG signals, removal of which is …

Decomposition level comparison of stationary wavelet transform filter for visual task electroencephalogram

SNSS Daud, R Sudirman - Jurnal Teknologi, 2015 - journals.utm.my
There has been a lot of research on the study of the human brain. Many modalities such as
medical resonance imaging (MRI), computerized tomography (CT), positron emission …

Optimised use of independent component analysis for EEG signal processing

Z Zakeri - 2017 - etheses.bham.ac.uk
Electroencephalography (EEG) is the prevalent technique for monitoring brain function. It
employs a set of electrodes on the scalp to measure the electrical activity of the brain. EEG is …

Ocular artifacts elimination and feature extraction in motor imagery-based BCI using nonlinear adaptive filter

GS Gupta, DK Mohanta, S Ghosh, GB Dave… - Biomedical …, 2020 - World Scientific
The paper proposes a novel methodology of de-noising raw electroencephalogram (EEG)
data from ocular artifacts (OAs) and alpha waves extraction from motor imagery-based …

FLM-based optimization scheme for ocular artifacts removal in EEG signals

SP Devulapalli, C Srinivasa Rao… - … : Proceedings of the Fifth …, 2020 - Springer
Neurophysiological analysis plays an important role in the diagnosis of various patients'
conditions. This analysis depends on the bio-potentials developed over the brain of an …