Methods for artifact detection and removal from scalp EEG: A review
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 …
in wide range of applications. One of the commonly faced problems in EEG recordings is the …
Ocular artifact elimination from electroencephalography signals: A systematic review
Electroencephalography (EEG) is the signal of intrigue that has immense application in the
clinical diagnosis of various neurological, psychiatric, psychological, psychophysiological …
clinical diagnosis of various neurological, psychiatric, psychological, psychophysiological …
Removal of EOG and EMG artifacts from EEG using combination of functional link neural network and adaptive neural fuzzy inference system
A new way of removing electrooculogram (EOG) and electromyogram (EMG) artifacts from
an electroencephalogram (EEG) was developed that involves combining an adaptive neural …
an electroencephalogram (EEG) was developed that involves combining an adaptive neural …
Towards effective non-invasive brain-computer interfaces dedicated to gait rehabilitation systems
T Castermans, M Duvinage, G Cheron, T Dutoit - Brain sciences, 2013 - mdpi.com
In the last few years, significant progress has been made in the field of walk rehabilitation.
Motor cortex signals in bipedal monkeys have been interpreted to predict walk kinematics …
Motor cortex signals in bipedal monkeys have been interpreted to predict walk kinematics …
PureEEG: automatic EEG artifact removal for epilepsy monitoring
MM Hartmann, K Schindler, TA Gebbink… - Neurophysiologie …, 2014 - Elsevier
Aim of the study A novel method for removal of artifacts from long-term EEGs was developed
and evaluated. The method targets most types of artifacts and works without user interaction …
and evaluated. The method targets most types of artifacts and works without user interaction …
Automatic detection and sonification of nonmotor generalized onset epileptic seizures: Preliminary results
Long-term video-EEG monitoring has improved diagnosis and treatment of epilepsy,
especially in children. However, the amount of data neurophysiologists must analyze has …
especially in children. However, the amount of data neurophysiologists must analyze has …
[HTML][HTML] Sparse time artifact removal
A de Cheveigné - Journal of neuroscience methods, 2016 - Elsevier
Background Muscle artifacts and electrode noise are an obstacle to interpretation of EEG
and other electrophysiological signals. They are often channel-specific and do not fully …
and other electrophysiological signals. They are often channel-specific and do not fully …
A novel multimodule neural network for EEG denoising
Z Zhang, X Yu, X Rong, M Iwata - IEEE Access, 2022 - ieeexplore.ieee.org
In this paper, a novel multi-module neural network (MMNN) is proposed to remove ocular
artifacts (OAs) and myogenic artifacts (MAs) from noisy single-channel …
artifacts (OAs) and myogenic artifacts (MAs) from noisy single-channel …
Interference of tonic muscle activity on the EEG: a single motor unit study
The electrical activity of muscles can interfere with the electroencephalogram (EEG) signal
considering the anatomical locations of facial or masticatory muscles surrounding the skull …
considering the anatomical locations of facial or masticatory muscles surrounding the skull …
Noise removal in electroencephalogram signals using an artificial neural network based on the simultaneous perturbation method
J Mateo, AM Torres, MA García, JL Santos - Neural Computing and …, 2016 - Springer
Electroencephalogram (EEG) recordings often experience interference by different kinds of
noise, including white, muscle and baseline, severely limiting its utility. Artificial neural …
noise, including white, muscle and baseline, severely limiting its utility. Artificial neural …