Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states

AE Hramov, VA Maksimenko, AN Pisarchik - Physics Reports, 2021‏ - Elsevier
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …

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 …

Methods for artifact detection and removal from scalp EEG: A review

MK Islam, A Rastegarnia, Z Yang - Neurophysiologie Clinique/Clinical …, 2016‏ - Elsevier
Electroencephalography (EEG) is the most popular brain activity recording technique used
in wide range of applications. One of the commonly faced problems in EEG recordings is the …

[HTML][HTML] Brain computer interfaces, a review

LF Nicolas-Alonso, J Gomez-Gil - sensors, 2012‏ - mdpi.com
A brain-computer interface (BCI) is a hardware and software communications system that
permits cerebral activity alone to control computers or external devices. The immediate goal …

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 …

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 …

A comprehensive assessment of Brain Computer Interfaces: Recent trends and challenges

D Yadav, S Yadav, K Veer - Journal of Neuroscience Methods, 2020‏ - Elsevier
Background An uninterrupted channel of communication and control between the human
brain and electronic processing units has led to an increased use of Brain Computer …

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 …

Saccadic spike potentials in gamma-band EEG: characterization, detection and suppression

AS Keren, S Yuval-Greenberg, LY Deouell - Neuroimage, 2010‏ - Elsevier
Analysis of high-frequency (gamma-band) neural activity by means of non-invasive EEG is
gaining increasing interest. However, we have recently shown that a saccade-related spike …

The removal of EOG artifacts from EEG signals using independent component analysis and multivariate empirical mode decomposition

G Wang, C Teng, K Li, Z Zhang… - IEEE journal of …, 2015‏ - ieeexplore.ieee.org
The recorded electroencephalography (EEG) signals are usually contaminated by
electrooculography (EOG) artifacts. In this paper, by using independent component analysis …